Datasets:

danielrosehill
/

NVR-Entity-Recognition-Experiment

	---
	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)

	---

	## 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.