README.md

---
license: mit
task_categories:
- token-classification
language:
- en
pretty_name: NVR Entity Recognition Experiment
size_categories:
- n<1K
 
---

# NVR Entity Recognition Experiment

## Overview

This repository contains a training dataset designed for entity recognition in Network Video Recorder (NVR) applications, specifically focused on newborn safety monitoring. The dataset uses a stuffed animal as a privacy-conscious substitute for actual newborn footage, enabling the development of computer vision models that can identify critical safety scenarios in nursery environments.

## Purpose

The primary goal of this dataset is to train machine learning models capable of recognizing:

- **Sleeping positions**: Back sleeping (safe), side sleeping, face-down sleeping (unsafe)
- **Dangerous objects**: Blankets, pacifiers, and other items that could pose smothering risks
- **Safety events**: Various scenarios that require parental attention or intervention

---


## Test Model - Corn The Sloth!

![alt text](subject/IMG20250821142020.png)

---

## Images (Sample)

### Sleeping Position (Classification)

![alt text](folder-org/bedroom-bassinet/back-sleeping/1.png)

![alt text](folder-org/bedroom-bassinet/face-down/1.png)

![alt text](folder-org/bedroom-bassinet/side-sleeping/6.png)

---

### Autocropping Reference Guidance

For automatic digital 'PTZ' with original aspect ratio preservation:

Original Frame:

![alt text](folder-org/reframing-guidance/bedroom/raw-frame.png)

Level 1:

![alt text](folder-org/reframing-guidance/bedroom/tight-1.png)

Level 2:

![alt text](folder-org/reframing-guidance/bedroom/tight-2.png)

Level 6 / Max:
 
![alt text](folder-org/reframing-guidance/bedroom/tight-6.png)

---

## Blanket Present 

![alt text](folder-org/events/blanket-in-bassinet/1.png)

---

## Pacifier - In Mouth Vs. Out Of Mouth 

![alt text](folder-org/events/pacifier/3.png)

![alt text](folder-org/events/pacifier/pacifier-fell-out/1.png)

---

## Smothering 

![alt text](folder-org/events/smothering/smothering/1.png)

---

## Smothering High Risk


 ![alt text](folder-org/events/smothering/smothering-high-risk/1.png)

 ---

## Monitoring Object Under Blanket

![alt text](folder-org/events/smothering/baby-under-blanket/3.png)

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## Subject Obscured By Curtain - Change View

![alt text](folder-org/events/subject-obscured/1.png)

---

## Unsafe Objects

---

### Button Battery

![alt text](folder-org/events/unsafe-object-presence/button-battery/1.png)

![alt text](folder-org/events/unsafe-object-presence/button-battery/5.png)

---

### Pill

![alt text](folder-org/events/unsafe-object-presence/pill/1.png)

![alt text](folder-org/events/unsafe-object-presence/pill/4.png)

---

### Sim Card Opener

![alt text](folder-org/events/unsafe-object-presence/sim-opener/1.png)


![alt text](folder-org/events/unsafe-object-presence/sim-opener/3.png)

---

### Camera Locations and Equipment

The dataset includes footage from multiple camera positions commonly found in home nursery setups:

- **Bedroom Bassinet**: Monitored using **Reolink E1 Pro** camera
- **Living Room Buggy**: Monitored using **Tapo C210** camera  
- **Nursery Bassinet**: Monitored using **Tapo C200** camera

---

### Data Categories

```
cam-captures/
├── bedroom-bassinet/
│   ├── back-sleeping/     # Safe sleeping position
│   ├── face-down/         # Unsafe sleeping position
│   └── side-sleeping/     # Potentially unsafe position
├── living-room-buggy/
│   ├── back-sleeping/
│   ├── face-down/
│   └── side-sleeping/
├── nursery-bassinet/
│   ├── 1/
│   ├── 2/
│   └── 3/
└── events/
    ├── blanket-in-bassinet/  # Dangerous object detection
    ├── pacifier/             # Object that could pose risks
    └── smothering/           # Critical safety scenarios
```

---

## Camera Specifications

### Reolink E1 Pro
- **Location**: Bedroom bassinet monitoring
- **Features**: Pan/tilt capabilities, night vision
- **Use Case**: Primary sleeping area surveillance

### Tapo C210
- **Location**: Living room buggy monitoring  
- **Features**: 360° rotation, motion detection
- **Use Case**: Mobile sleeping area monitoring

### Tapo C200
- **Location**: Nursery bassinet monitoring
- **Features**: Fixed position, infrared night vision
- **Use Case**: Dedicated nursery surveillance

---

## Applications

This dataset is intended for training models that can:

1. **Automated Safety Alerts**: Detect unsafe sleeping positions and alert caregivers
2. **Object Recognition**: Identify potentially dangerous items in sleeping areas
3. **Behavioral Analysis**: Monitor and analyze sleep patterns and safety compliance
4. **NVR Integration**: Deploy trained models directly into existing NVR systems


## Disclaimer

This dataset is for research and development purposes. Any deployed safety monitoring system should be thoroughly tested and validated before use in real-world scenarios. Automated systems should supplement, not replace, direct parental supervision.