https://github.com/blakeblackshear/frigate

NVR with realtime local object detection for IP cameras
https://github.com/blakeblackshear/frigate

ai camera google-coral home-assistant home-automation homeautomation mqtt nvr object-detection realtime rtsp tensorflow

Last synced: 11 days ago
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NVR with realtime local object detection for IP cameras

• Host: GitHub
• URL: https://github.com/blakeblackshear/frigate
• Owner: blakeblackshear
• License: mit
• Created: 2019-01-26T13:52:38.000Z (almost 6 years ago)
• Default Branch: dev
• Last Pushed: 2024-05-22T18:26:01.000Z (6 months ago)
• Last Synced: 2024-05-22T18:32:13.042Z (6 months ago)
• Topics: ai, camera, google-coral, home-assistant, home-automation, homeautomation, mqtt, nvr, object-detection, realtime, rtsp, tensorflow
• Language: Python
• Homepage: https://frigate.video
• Size: 78 MB
• Stars: 15,064
• Watchers: 165
• Forks: 1,425
• Open Issues: 152
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Codeowners: CODEOWNERS

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README

        


  



# Frigate - NVR With Realtime Object Detection for IP Cameras

A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.

Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.

- Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)

- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary

- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame

- Uses a very low overhead motion detection to determine where to run object detection

- Object detection with TensorFlow runs in separate processes for maximum FPS

- Communicates over MQTT for easy integration into other systems

- Records video with retention settings based on detected objects

- 24/7 recording

- Re-streaming via RTSP to reduce the number of connections to your camera

- WebRTC & MSE support for low-latency live view

## Documentation

View the documentation at https://docs.frigate.video

## Donations

If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).

## Screenshots

### Live dashboard







### Streamlined review workflow







### Multi-camera scrubbing







### Built-in mask and zone editor