id large_stringlengths 21 21 | domain large_stringclasses 7
values | instruction large_stringclasses 115
values | reasoning large_stringlengths 1.07k 5.05k | response large_stringlengths 677 1.11k | text large_stringlengths 2.31k 6.39k | target_board_id large_stringclasses 863
values | mcu large_stringclasses 201
values | vendor large_stringclasses 231
values | ram_bytes int64 2.05k 8.59B | rom_bytes int64 0 1.07B |
|---|---|---|---|---|---|---|---|---|---|---|
pyintel_hw_cot_007900 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 180 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Nordic nRF52833-DK**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `nrf52833_dk` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `NRF52833` | Native dual-core/accelerated processing |
| **Operating Frequency** | 64 MHz | Sufficient th... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 180 KB of unfragmented dynamic heap (accounting f... | nrf52833_dk | NRF52833 | Nordic | 131,072 | 524,288 |
pyintel_hw_cot_007901 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **W5100S-EVB-Pico2**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `wiznet_5100s_evb_pico2` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2350` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custo... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | wiznet_5100s_evb_pico2 | RP2350 | WIZnet | 524,288 | 2,097,152 |
pyintel_hw_cot_007902 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **WEMOS D1 R32**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `wemos_d1_uno32` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hardware ... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | wemos_d1_uno32 | ESP32 | WEMOS | 327,680 | 4,194,304 |
pyintel_hw_cot_007903 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **ESP32-S3 PowerFeather**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `esp32s3_powerfeather` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S3` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | C... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | esp32s3_powerfeather | ESP32S3 | PowerFeather | 327,680 | 8,388,608 |
pyintel_hw_cot_007904 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 108 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **TTGO T-Watch**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `ttgo-t-watch` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughpu... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 108 KB of unfragmented dynamic heap (accounting f... | ttgo-t-watch | ESP32 | TTGO | 327,680 | 16,777,216 |
pyintel_hw_cot_007905 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **SIMCOM A7670X LTE Cat.1 Module**
| Constraint Parameter | Required Budget | Board Capability (`a7670`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overhea... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of conti... | a7670 | ASR1601 | SIMCom | 524,288 | 1,048,576 |
pyintel_hw_cot_007906 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **NXP i.MX RT1064 Evaluation Kit**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
|... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | mimxrt1064_evk | MIMXRT1064DVL6A | NXP | 33,554,432 | 8,388,608 |
pyintel_hw_cot_007907 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 40 kHz PWM, each control cycle is $T = 1 / 40\text{ kHz} = 25.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **u-blox ODIN-W2**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `mtb_ublox_odin_w2` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F439ZIY6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 MHz | C... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | mtb_ublox_odin_w2 | STM32F439ZIY6 | u-blox | 262,144 | 2,097,152 |
pyintel_hw_cot_007908 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **RYMCU ESP32-C3-DevKitM-1**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `rymcu-esp32-c3-devkitm-1` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32C3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 160 ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting f... | rymcu-esp32-c3-devkitm-1 | ESP32C3 | RYMCU | 327,680 | 4,194,304 |
pyintel_hw_cot_007909 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capab... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down r... | ### Recommended Board: **Adafruit PyGamer M4 Express**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `adafruit_pygamer_m4` | Registered open-hardware entry |
| **MCU Architecture** | `SAMD51J19A` | High-speed real-time core |
| **CAN Bus Interface** | | Hardware frame... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient inte... | adafruit_pygamer_m4 | SAMD51J19A | Adafruit | 196,608 | 524,288 |
pyintel_hw_cot_007910 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **BluesWireless Swan R5**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Co... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | bw_swan_r5 | STM32L4R5ZIY6 | BluesWireless | 655,360 | 2,097,152 |
pyintel_hw_cot_007911 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **LilyGo T3-S3**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `lilygo-t3-s3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient through... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting f... | lilygo-t3-s3 | ESP32S3 | LilyGo | 327,680 | 4,194,304 |
pyintel_hw_cot_007912 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **ESP32S3 CAM LCD**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controll... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | esp32s3camlcd | ESP32S3 | Espressif | 327,680 | 8,388,608 |
pyintel_hw_cot_007913 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Cytron Maker Feather AIoT S3**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `cytron_maker_feather_aiot_s3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequency*... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting f... | cytron_maker_feather_aiot_s3 | ESP32S3 | Cytron Technologies | 327,680 | 8,388,608 |
pyintel_hw_cot_007914 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (48.0 \times 10^3) \approx 42.67 \text{ ms}$.
- **Processin... | ### Recommended Board: **Labplus mPython**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `labplus_mpython` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT computes in $< 2 \text{ ms}$ (well be... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | labplus_mpython | ESP32 | Labplus | 327,680 | 4,194,304 |
pyintel_hw_cot_007915 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 25 kHz PWM, each control cycle is $T = 1 / 25\text{ kHz} = 40.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **SensorTile.box**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `steval_mksboxv1` | Verified Open Board Registry entry |
| **MCU Core** | `STM32L4R9ZI` | High-speed real-time core with hardware math |
| **Core Clock** | 120 MHz | Compl... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | steval_mksboxv1 | STM32L4R9ZI | ST | 655,360 | 2,097,152 |
pyintel_hw_cot_007916 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 148 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Generic - RTL8720CF (2M/992k)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `generic-rtl8720cf-2mb-992k` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `RTL8720CF` | Native dual-core/accelerated processing |
| **Operating Frequency... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 148 KB of unfragmented dynamic heap (accounting f... | generic-rtl8720cf-2mb-992k | RTL8720CF | Generic | 262,144 | 1,015,808 |
pyintel_hw_cot_007917 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 40 kHz PWM, each control cycle is $T = 1 / 40\text{ kHz} = 25.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Metro RP2350**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_metro_rp2350` | Verified Open Board Registry entry |
| **MCU Core** | `RP2350` | High-speed real-time core with hardware math |
| **Core Clock** | 150 MHz | Comple... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | adafruit_metro_rp2350 | RP2350 | Adafruit | 524,288 | 16,777,216 |
pyintel_hw_cot_007918 | native_usb_emulation | I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable en... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Cytron Maker Feather AIoT S3**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `cytron_maker_feather_aiot_s3` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S3` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Na... | <start_of_turn>user
I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY suppor... | cytron_maker_feather_aiot_s3 | ESP32S3 | Cytron Technologies | 327,680 | 8,388,608 |
pyintel_hw_cot_007919 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Qchip**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controller** | Har... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | qchip | ESP32 | Qmobot LLP | 327,680 | 4,194,304 |
pyintel_hw_cot_007920 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 fr... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 500 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or automo... | ### Recommended Board: **ESPino32**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `espino32` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hardware frame filt... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling cap... | espino32 | ESP32 | ThaiEasyElec | 327,680 | 4,194,304 |
pyintel_hw_cot_007921 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Generic - BK7238**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Control... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | generic-bk7238 | BK7238 | Generic | 262,144 | 1,083,136 |
pyintel_hw_cot_007922 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 25 kHz PWM, each control cycle is $T = 1 / 25\text{ kHz} = 40.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **RP2040 DevKit**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `upesy_rp2040_devkit` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | Complet... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | upesy_rp2040_devkit | RP2040 | uPesy | 262,144 | 2,097,152 |
pyintel_hw_cot_007923 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 156 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **WL2S Wi-Fi/BLE Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `wl2s` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `LN882HK` | Native dual-core/accelerated processing |
| **Operating Frequency** | 160 MHz | Sufficient throug... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 156 KB of unfragmented dynamic heap (accounting f... | wl2s | LN882HK | Unknown | 302,080 | 1,228,800 |
pyintel_hw_cot_007924 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Unexpected Maker FeatherS2 Neo**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `um_feathers2_neo` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S2` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MH... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | um_feathers2_neo | ESP32S2 | Unexpected Maker | 327,680 | 4,194,304 |
pyintel_hw_cot_007925 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 40 kHz PWM, each control cycle is $T = 1 / 40\text{ kHz} = 25.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Metro RP2350**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_metro_rp2350` | Verified Open Board Registry entry |
| **MCU Core** | `RP2350` | High-speed real-time core with hardware math |
| **Core Clock** | 150 MHz | Comple... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | adafruit_metro_rp2350 | RP2350 | Adafruit | 524,288 | 16,777,216 |
pyintel_hw_cot_007926 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (44.1 \times 10^3) \approx 46.44 \text{ ms}$.
- **Processin... | ### Recommended Board: **WEMOS LOLIN32 Lite**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `lolin32_lite` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT computes in $< 2 \text{ ms}$ (well be... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | lolin32_lite | ESP32 | WEMOS | 327,680 | 4,194,304 |
pyintel_hw_cot_007927 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **RP2040 DevKit**
| Constraint Parameter | Required Budget | Board Capability (`upesy_rp2040_devkit`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overhead |... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of conti... | upesy_rp2040_devkit | RP2040 | uPesy | 262,144 | 2,097,152 |
pyintel_hw_cot_007928 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **RP2350 Stamp XL**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controll... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | solderparty_rp2350_stamp_xl | RP2350 | Solder Party | 524,288 | 16,777,216 |
pyintel_hw_cot_007929 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capab... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 2000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down r... | ### Recommended Board: **PYBStick 26 Pro**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `pybstick26_pro` | Registered open-hardware entry |
| **MCU Architecture** | `STM32F412RE` | High-speed real-time core |
| **CAN Bus Interface** | can | Hardware frame filtration &... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient inte... | pybstick26_pro | STM32F412RE | PYBStick | 262,144 | 524,288 |
pyintel_hw_cot_007930 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (44.1 \times 10^3) \approx 11.61 \text{ ms}$.
- **Processing ... | ### Recommended Board: **MikroElektronika Flip N Click MZ**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `flipnclickmz` | Verified Open Board Registry entry |
| **Processor Core** | `32MZ2048EFH100` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 252 MHz | FFT computes in $<... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | flipnclickmz | 32MZ2048EFH100 | MikroElektronika | 524,288 | 2,080,768 |
pyintel_hw_cot_007931 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Sipeed MAIX BiT**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controll... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | sipeed-maix-bit | K210 | Sipeed | 6,291,456 | 16,777,216 |
pyintel_hw_cot_007932 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 2000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (12V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **unPhone 7**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `unphone7` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hardware frame fil... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | unphone7 | ESP32 | University of Sheffield | 327,680 | 4,194,304 |
pyintel_hw_cot_007933 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Unexpected Maker TinyS2**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `um_tinys2` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S2` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | um_tinys2 | ESP32S2 | Unexpected Maker | 327,680 | 4,194,304 |
pyintel_hw_cot_007934 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Arduino Nicla Vision**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `nicla_vision` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `STM32H747XIH6` | Native dual-core/accelerated processing |
| **Operating Frequency** | 480 MHz | Suff... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting f... | nicla_vision | STM32H747XIH6 | Arduino | 523,624 | 786,432 |
pyintel_hw_cot_007935 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **RP2040 LCD 0.96**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `waveshare_rp2040_lcd_0_96` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2040` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Cus... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | waveshare_rp2040_lcd_0_96 | RP2040 | Waveshare | 262,144 | 2,097,152 |
pyintel_hw_cot_007936 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Trueverit ESP32 Universal IoT Driver MK II**
| Constraint Parameter | Required Budget | Board Capability (`trueverit-iot-driver-mk2`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Sup... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of conti... | trueverit-iot-driver-mk2 | ESP32 | Trueverit | 327,680 | 4,194,304 |
pyintel_hw_cot_007937 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 96.0 kHz 16-bit mono produces $96.0 \times 10^3 \times 2 \approx 192,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (96.0 \times 10^3) \approx 21.33 \text{ ms}$.
- **Processi... | ### Recommended Board: **M5Stamp-Pico**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `m5stamp-pico` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT computes in $< 2 \text{ ms}$ (well below 21... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | m5stamp-pico | ESP32 | M5Stack | 327,680 | 4,194,304 |
pyintel_hw_cot_007938 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (44.1 \times 10^3) \approx 46.44 \text{ ms}$.
- **Processin... | ### Recommended Board: **ST B-U585I-IOT02A Discovery**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `disco_b_u585i_iot02a` | Verified Open Board Registry entry |
| **Processor Core** | `STM32U585AII6Q` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 160 MHz | FFT computes in... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | disco_b_u585i_iot02a | STM32U585AII6Q | ST | 262,144 | 2,097,152 |
pyintel_hw_cot_007939 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit MatrixPortal ESP32-S3**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_matrixportal_esp32s3` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S3` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB /... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | adafruit_matrixportal_esp32s3 | ESP32S3 | Adafruit | 327,680 | 8,388,608 |
pyintel_hw_cot_007940 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 96.0 kHz 16-bit mono produces $96.0 \times 10^3 \times 2 \approx 192,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 1024-point buffer represents $T_{window} = 1024 / (96.0 \times 10^3) \approx 10.67 \text{ ms}$.
- **Processi... | ### Recommended Board: **u-blox C030-N211 IoT Starter Kit**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `ublox_c030_n211` | Verified Open Board Registry entry |
| **Processor Core** | `STM32F437VG` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 180 MHz | FFT computes in $<... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | ublox_c030_n211 | STM32F437VG | u-blox | 262,144 | 1,048,576 |
pyintel_hw_cot_007941 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 278 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **Digilent chipKIT WiFire**
| Constraint Parameter | Required Budget | Board Capability (`chipkit_wifire`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overh... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 278 KB of conti... | chipkit_wifire | 32MZ2048ECG100 | Digilent | 524,288 | 2,080,768 |
pyintel_hw_cot_007942 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 1024-point buffer represents $T_{window} = 1024 / (48.0 \times 10^3) \approx 21.33 \text{ ms}$.
- **Processin... | ### Recommended Board: **Ai-Thinker ESP-C3-M1-I-Kit**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `esp32-c3-m1i-kit` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32C3` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 160 MHz | FFT computes in $< 2 \text{... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | esp32-c3-m1i-kit | ESP32C3 | Ai-Thinker | 327,680 | 4,194,304 |
pyintel_hw_cot_007943 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Teensy 4.0**
| Constraint Parameter | Required Budget | Board Capability (`teensy40`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead |
| **Total SRA... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of conti... | teensy40 | IMXRT1062 | Teensy | 524,288 | 2,031,616 |
pyintel_hw_cot_007944 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **RYMCU STM32F407VE (192k RAM. 512k Flash)**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Iso... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | rymcu_f407ve | STM32F407VET6 | RYMCU | 131,072 | 514,288 |
pyintel_hw_cot_007945 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **XRP Controller**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controlle... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | sparkfun_xrp_controller | RP2350 | SparkFun | 524,288 | 16,777,216 |
pyintel_hw_cot_007946 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Metro RP2040**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_metro` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | Completes FOC... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | adafruit_metro | RP2040 | Adafruit | 262,144 | 16,777,216 |
pyintel_hw_cot_007947 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **RP2040-ProMini**
| Constraint Parameter | Required Budget | Board Capability (`redscorp_rp2040_promini`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overh... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of conti... | redscorp_rp2040_promini | RP2040 | redscorp | 262,144 | 16,777,216 |
pyintel_hw_cot_007948 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **RP2040 Plus 16MB**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Control... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | waveshare_rp2040_plus_16mb | RP2040 | Waveshare | 262,144 | 16,777,216 |
pyintel_hw_cot_007949 | native_usb_emulation | I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable en... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Arduino LilyPad USB**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `LilyPadUSB` | Registered entry in Open Board Registry |
| **Microcontroller** | `ATMEGA32U4` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID... | <start_of_turn>user
I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY suppor... | LilyPadUSB | ATMEGA32U4 | Arduino | 2,560 | 28,672 |
pyintel_hw_cot_007950 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 96.0 kHz 16-bit mono produces $96.0 \times 10^3 \times 2 \approx 192,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (96.0 \times 10^3) \approx 5.33 \text{ ms}$.
- **Processing ... | ### Recommended Board: **IoT Node LoRaWAN**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `sparkfun_iotnode_lorawanrp2350` | Verified Open Board Registry entry |
| **Processor Core** | `RP2350` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 150 MHz | FFT computes in $< 2 \te... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | sparkfun_iotnode_lorawanrp2350 | RP2350 | SparkFun | 524,288 | 16,777,216 |
pyintel_hw_cot_007951 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 120 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **unPhone 8**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `unphone8` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughput for... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 120 KB of unfragmented dynamic heap (accounting f... | unphone8 | ESP32S3 | University of Sheffield | 2,424,832 | 8,323,072 |
pyintel_hw_cot_007952 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 208 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **XMC4700 Relax Kit**
| Constraint Parameter | Required Budget | Board Capability (`xmc4700_relax_kit`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 208 KB of conti... | xmc4700_relax_kit | XMC4700 | Infineon | 2,048,000 | 2,096,000 |
pyintel_hw_cot_007953 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 96.0 kHz 16-bit mono produces $96.0 \times 10^3 \times 2 \approx 192,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (96.0 \times 10^3) \approx 5.33 \text{ ms}$.
- **Processing ... | ### Recommended Board: **RP2350 Stamp**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `solderparty_rp2350_stamp` | Verified Open Board Registry entry |
| **Processor Core** | `RP2350` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 150 MHz | FFT computes in $< 2 \text{ ms}$ (... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | solderparty_rp2350_stamp | RP2350 | Solder Party | 524,288 | 16,777,216 |
pyintel_hw_cot_007954 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **ST Nucleo U575ZI-Q**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Contr... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | nucleo_u575zi_q | STM32U575ZIT6Q | ST | 786,432 | 2,097,152 |
pyintel_hw_cot_007955 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **STM32F103RE (64k RAM. 512k Flash)**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) ... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | genericSTM32F103RE | STM32F103RET6 | Generic | 65,536 | 524,288 |
pyintel_hw_cot_007956 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 112 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Ai-Thinker NodeMCU-32S2 (ESP-12K)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `nodemcu-32s2` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S2` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 112 KB of unfragmented dynamic heap (accounting f... | nodemcu-32s2 | ESP32S2 | Ai-Thinker | 327,680 | 4,194,304 |
pyintel_hw_cot_007957 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (44.1 \times 10^3) \approx 11.61 \text{ ms}$.
- **Processing ... | ### Recommended Board: **STM32F401RC (64k RAM. 256k Flash)**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `genericSTM32F401RC` | Verified Open Board Registry entry |
| **Processor Core** | `STM32F401RCT6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 84 MHz | FFT computes ... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | genericSTM32F401RC | STM32F401RCT6 | Generic | 65,536 | 262,144 |
pyintel_hw_cot_007958 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **IDM2040-43A**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controller**... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | bridgetek_idm2040_43a | RP2040 | BridgeTek | 262,144 | 8,388,608 |
pyintel_hw_cot_007959 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 25 kHz PWM, each control cycle is $T = 1 / 25\text{ kHz} = 40.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **RP2040-ProMini**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `redscorp_rp2040_promini` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | Co... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | redscorp_rp2040_promini | RP2040 | redscorp | 262,144 | 16,777,216 |
pyintel_hw_cot_007960 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 148 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Connaxio's Espoir**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `connaxio_espoir` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient t... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 148 KB of unfragmented dynamic heap (accounting f... | connaxio_espoir | ESP32 | Connaxio | 327,680 | 4,194,304 |
pyintel_hw_cot_007961 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (44.1 \times 10^3) \approx 46.44 \text{ ms}$.
- **Processin... | ### Recommended Board: **Microsoft Azure IoT Development Kit (MXChip AZ3166)**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `mxchip_az3166` | Verified Open Board Registry entry |
| **Processor Core** | `STM32F412ZGT6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 100 MHz |... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | mxchip_az3166 | STM32F412ZGT6 | MXChip | 262,144 | 1,048,576 |
pyintel_hw_cot_007962 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 214 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **WR3 Wi-Fi Module**
| Constraint Parameter | Required Budget | Board Capability (`wr3`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overhead |
| **Total SR... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 214 KB of conti... | wr3 | RTL8710BN | Tuya Inc. | 262,144 | 806,912 |
pyintel_hw_cot_007963 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **LilyGo T-Display**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `lilygo-t-display` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient t... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting f... | lilygo-t-display | ESP32 | LilyGo | 327,680 | 4,194,304 |
pyintel_hw_cot_007964 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **RP2040 Stamp**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controller*... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | solderparty_rp2040_stamp | RP2040 | Solder Party | 262,144 | 8,388,608 |
pyintel_hw_cot_007965 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 2000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **OROCA EduBot**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `oroca_edubot` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hardware fr... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | oroca_edubot | ESP32 | OROCA | 327,680 | 4,194,304 |
pyintel_hw_cot_007966 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (48.0 \times 10^3) \approx 10.67 \text{ ms}$.
- **Processing ... | ### Recommended Board: **Electrosmith Daisy Patch SM**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `electrosmith_daisy_patch_sm` | Verified Open Board Registry entry |
| **Processor Core** | `STM32H750IBK6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 400 MHz | FFT compu... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | electrosmith_daisy_patch_sm | STM32H750IBK6 | Electrosmith | 524,288 | 131,072 |
pyintel_hw_cot_007967 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Plasma2350**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controller** ... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | pimoroni_plasma2350 | RP2350 | Pimoroni | 524,288 | 2,097,152 |
pyintel_hw_cot_007968 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (44.1 \times 10^3) \approx 46.44 \text{ ms}$.
- **Processin... | ### Recommended Board: **Quectel EG915N LTE Cat.1 Module**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `eg915n` | Verified Open Board Registry entry |
| **Processor Core** | `ASR1603` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 416 MHz | FFT computes in $< 2 \text{ ms}$... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | eg915n | ASR1603 | Quectel Wireless Solutions Co., Ltd. | 524,288 | 1,048,576 |
pyintel_hw_cot_007969 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 2000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (12V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **ST Nucleo F042K6**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `nucleo_f042k6` | Registered open-hardware entry |
| **MCU Architecture** | `STM32F042K6T6` | High-speed real-time core |
| **CAN Bus Interface** | can | Hardware frame filtration... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | nucleo_f042k6 | STM32F042K6T6 | ST | 6,144 | 32,768 |
pyintel_hw_cot_007970 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Generic - BK7238**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Control... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | generic-bk7238 | BK7238 | Generic | 262,144 | 1,083,136 |
pyintel_hw_cot_007971 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 246 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **Arduino Portenta C33**
| Constraint Parameter | Required Budget | Board Capability (`portenta_c33`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead |... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 246 KB of conti... | portenta_c33 | R7FA6M5BH2CBG | Arduino | 523,624 | 2,097,152 |
pyintel_hw_cot_007972 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 156 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **WR3 Wi-Fi Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `wr3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `RTL8710BN` | Native dual-core/accelerated processing |
| **Operating Frequency** | 125 MHz | Sufficient throughput... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 156 KB of unfragmented dynamic heap (accounting f... | wr3 | RTL8710BN | Tuya Inc. | 262,144 | 806,912 |
pyintel_hw_cot_007973 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Arduino Nicla Vision**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `nicla_vision` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `STM32H747XIH6` | Native dual-core/accelerated processing |
| **Operating Frequency** | 480 MHz | Suff... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | nicla_vision | STM32H747XIH6 | Arduino | 523,624 | 786,432 |
pyintel_hw_cot_007974 | native_usb_emulation | I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable en... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit Bluefruit Micro**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `bluefruitmicro` | Registered entry in Open Board Registry |
| **Microcontroller** | `ATMEGA32U4` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | C... | <start_of_turn>user
I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY suppor... | bluefruitmicro | ATMEGA32U4 | Adafruit | 2,560 | 28,672 |
pyintel_hw_cot_007975 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capab... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 2000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down r... | ### Recommended Board: **Espressif ESP32-PICO-DevKitM-2**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `esp32-pico-devkitm-2` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, e... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient inte... | esp32-pico-devkitm-2 | ESP32 | Espressif Systems | 327,680 | 8,388,608 |
pyintel_hw_cot_007976 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capabi... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 500 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down re... | ### Recommended Board: **WeAct Studio MiniSTM32H750VBTX**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `weact_mini_h750vbtx` | Registered open-hardware entry |
| **MCU Architecture** | `STM32H750VBT6` | High-speed real-time core |
| **CAN Bus Interface** | can, ethern... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient inter... | weact_mini_h750vbtx | STM32H750VBT6 | WeAct Studio | 131,072 | 524,288 |
pyintel_hw_cot_007977 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 1024-point buffer represents $T_{window} = 1024 / (48.0 \times 10^3) \approx 21.33 \text{ ms}$.
- **Processin... | ### Recommended Board: **Adafruit Feather ESP32-S2**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_esp32s2` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32S2` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT computes in $< 2... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | adafruit_feather_esp32s2 | ESP32S2 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_007978 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Freescale Kinetis FRDM-KW41Z**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `frdm_kw41z` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `MKW41Z512VHT4` | Native dual-core/accelerated processing |
| **Operating Frequency** | 48 MHz |... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting f... | frdm_kw41z | MKW41Z512VHT4 | Freescale | 131,072 | 524,288 |
pyintel_hw_cot_007979 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capab... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 2000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down r... | ### Recommended Board: **Leafony Systems AP03**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `leafony_ap03` | Registered open-hardware entry |
| **MCU Architecture** | `STM32L452RET6` | High-speed real-time core |
| **CAN Bus Interface** | can | Hardware frame filtrat... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 2000 kbps. We require a board with hardware CAN controller support, sufficient inte... | leafony_ap03 | STM32L452RET6 | Leafony Systems | 163,840 | 524,288 |
pyintel_hw_cot_007980 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **Adafruit Circuit Playground Classic**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `circuitplay_classic` | Registered open-hardware entry |
| **MCU Architecture** | `ATMEGA32U4` | High-speed real-time core |
| **CAN Bus Interface** | | Hardwa... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | circuitplay_classic | ATMEGA32U4 | Adafruit | 2,560 | 28,672 |
pyintel_hw_cot_007981 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **M5Stack FIRE**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `m5stack-fire` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughpu... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting f... | m5stack-fire | ESP32 | M5Stack | 4,521,984 | 16,777,216 |
pyintel_hw_cot_007982 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **HunterCat NFC RP2040**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Con... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | electroniccats_huntercat_nfc | RP2040 | ElectronicCats | 262,144 | 2,097,152 |
pyintel_hw_cot_007983 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Quectel EC200U LTE Cat.1 Module**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | ec200u | RDA8910 | Quectel Wireless Solutions Co., Ltd. | 524,288 | 1,048,576 |
pyintel_hw_cot_007984 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Adafruit QT Py ESP32-S3 No PSRAM**
| Constraint Parameter | Required Budget | Board Capability (`adafruit_qtpy_esp32s3_nopsram`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supporte... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of conti... | adafruit_qtpy_esp32s3_nopsram | ESP32S3 | Adafruit | 327,680 | 8,388,608 |
pyintel_hw_cot_007985 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (48.0 \times 10^3) \approx 10.67 \text{ ms}$.
- **Processing ... | ### Recommended Board: **Adafruit Feather ESP32-S2 TFT**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_esp32s2_tft` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32S2` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT computes... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | adafruit_feather_esp32s2_tft | ESP32S2 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_007986 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **oddWires IoT-Bus Proteus**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `iotbusproteus` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can ... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | iotbusproteus | ESP32 | oddWires | 327,680 | 4,194,304 |
pyintel_hw_cot_007987 | native_usb_emulation | I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable en... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Espressif ESP32-S3-Box**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `esp32s3box` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S3` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID... | <start_of_turn>user
I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY suppor... | esp32s3box | ESP32S3 | Espressif | 327,680 | 16,777,216 |
pyintel_hw_cot_007988 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **CB3L Wi-Fi Module**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Contro... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | cb3l | BK7231N | Tuya Inc. | 262,144 | 1,083,136 |
pyintel_hw_cot_007989 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **DFRobot Beetle ESP32-C3**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C ... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | dfrobot_beetle_esp32c3 | ESP32C3 | DFRobot | 327,680 | 4,194,304 |
pyintel_hw_cot_007990 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Maker Uno RP2040**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Control... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | cytron_maker_uno_rp2040 | RP2040 | Cytron | 262,144 | 2,097,152 |
pyintel_hw_cot_007991 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit Feather ESP32-S2**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_esp32s2` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S2` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Dr... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | adafruit_feather_esp32s2 | ESP32S2 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_007992 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **T112_V1.1**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controller** |... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | t112-v1.1 | RTL8710BN | Unknown | 262,144 | 806,912 |
pyintel_hw_cot_007993 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 120 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Heltec Wireless Stick Lite**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `heltec_wireless_stick_lite` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 24... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 120 KB of unfragmented dynamic heap (accounting f... | heltec_wireless_stick_lite | ESP32 | Heltec Automation | 327,680 | 4,194,304 |
pyintel_hw_cot_007994 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 152 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **CB1S Wi-Fi Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `cb1s` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `BK7231N` | Native dual-core/accelerated processing |
| **Operating Frequency** | 120 MHz | Sufficient throughput... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 152 KB of unfragmented dynamic heap (accounting f... | cb1s | BK7231N | Tuya Inc. | 262,144 | 1,083,136 |
pyintel_hw_cot_007995 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **M5Stack-ATOM**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `m5stack-atom` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hardware fr... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | m5stack-atom | ESP32 | M5Stack | 327,680 | 4,194,304 |
pyintel_hw_cot_007996 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 112 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Generic - BK7231N (Tuya)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `generic-bk7231n-qfn32-tuya` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `BK7231N` | Native dual-core/accelerated processing |
| **Operating Frequency** | 12... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 112 KB of unfragmented dynamic heap (accounting f... | generic-bk7231n-qfn32-tuya | BK7231N | Generic | 262,144 | 1,083,136 |
pyintel_hw_cot_007997 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **RoboHeart Hercules**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Contr... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | roboheart_hercules | ESP32 | RoboHeart | 327,680 | 4,194,304 |
pyintel_hw_cot_007998 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **RP2350 Plus**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controller**... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | waveshare_rp2350_plus | RP2350 | Waveshare | 524,288 | 4,194,304 |
pyintel_hw_cot_007999 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 188 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **SparkFun ESP32 Thing**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `esp32thing` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient thr... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 188 KB of unfragmented dynamic heap (accounting f... | esp32thing | ESP32 | SparkFun Electronics | 327,680 | 4,194,304 |
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