---
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


## Dataset Structure

### Sample Images

Here are some representative examples from the dataset:

#### Safe Sleeping Position (Back Sleeping)
![Back Sleeping Example](training/images/train/train_0001.png)

#### Unsafe Sleeping Position (Face Down)
![Face Down Example](training/images/train/train_0015.png)

#### Safety Event Detection (Dangerous Objects)
![Safety Event Example](training/images/train/train_0025.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.