https://github.com/joelee/camwatch

Face and Car detector from video streams using Computer Vision
https://github.com/joelee/camwatch

Last synced: about 2 months ago
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Face and Car detector from video streams using Computer Vision

• Host: GitHub
• URL: https://github.com/joelee/camwatch
• Owner: joelee
• License: apache-2.0
• Created: 2021-01-03T17:05:58.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-01-18T21:39:07.000Z (almost 4 years ago)
• Last Synced: 2023-08-05T09:23:23.377Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 901 KB
• Stars: 18
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CamWatch

Face and Car detector from video streams using Computer Vision 

with Face Recognition and Car Number Plate detection for integration

with MQTT and Home Assistant

![GitHub Logo](docs/camwatch-target_arch.png)

## Features

- Records video on motion detection

- Detect faces and cars

- Train recognising faces from image files

- Detect and OCR Car Number plates  

- Publish events and snapshots to MQTT

- integration with Home Assistant

- extensive user configurable parameters for tuning video sources to correct false positives

> This project is still under-development.

> 

> Further updates and documentation improvement are coming soon.

 

## Quick Start

### Installation

- `git clone https://github.com/joelee/camwatch.git`

- `cd camwatch`

- `python -m pip install -r requirements.txt`

### Configuration

- `cp config/camwatch-quick_start.yaml config/camwatch.yaml`

- Edit and customise `config/camwatch.yaml`

- see `camwatch-defaults.yaml` for more settings

### Start monitoring a video channel

- `python src/capture.py {channel_name}`

### Start face recognition training

- Set the path of your training data in the configuration: `services.face_recognition.location`

- Add the face photos under named sub-folders, e.g.:

    - `john/`

        - `john_photo1.jpg`

        - `john_photo2.jpg`

    - `jill/`

        - `jill_photo1.jpg`

        - `jill_photo2.jpg`

- Start trainer: `python src/face_trainer.py`