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  <img align="center" alt="logo" src="docs/static/img/frigate.png">
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# 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 clips of detected objects
- 24/7 recording
- Re-streaming via RTMP to reduce the number of connections to your camera

## Documentation

View the documentation at https://blakeblackshear.github.io/frigate

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

## Screenshots
Integration into Home Assistant
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<a href="docs/static/img/media_browser.png"><img src="docs/static/img/media_browser.png" height=400></a>
<a href="docs/static/img/notification.png"><img src="docs/static/img/notification.png" height=400></a>
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Also comes with a builtin UI:
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<a href="docs/static/img/home-ui.png"><img src="docs/static/img/home-ui.png" height=400></a>
<a href="docs/static/img/camera-ui.png"><img src="docs/static/img/camera-ui.png" height=400></a>
</div>

![Events](docs/static/img/events-ui.png)
