<p align="center"> <img align="center" alt="logo" src="docs/static/img/frigate.png"> </p> # 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 Integration into Home Assistant <div> <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> </div> Also comes with a builtin UI: <div> <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> 