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NVR with realtime local object detection for IP cameras
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Docs: access go2rtc stream externally while using add-on #6208 (#6209) 
It took me quite a while to figure out why I couldn't access the go2rtc streams, maybe this saves others some time too.

Original question: #6148
2023-04-23 07:41:22 -05:00
.devcontainer Set User Agent for FFmpeg calls (#4555) 2022-11-30 16:53:45 -06:00
.github free up some disk space (#5644) 2023-03-05 09:14:11 -06:00
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docker Fix small warning not appearing in go2rtc logs in UI (#5882) 2023-03-30 20:03:42 -05:00
docs Docs: access go2rtc stream externally while using add-on #6208 (#6209) 2023-04-23 07:41:22 -05:00
frigate Ensure the frigate config validators are also checked when saving config (#6069) 2023-04-15 07:24:13 -05:00
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README.md

logo

Frigate - NVR With Realtime Object Detection for IP Cameras

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.

Use of a Google Coral Accelerator 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
  • 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.

Screenshots

Integration into Home Assistant

Also comes with a builtin UI:

Events