Fork: 1123 Star: 11909 (更新于 2023-11-29 11:47:37)

license: MIT

Language: Python.

NVR with realtime local object detection for IP cameras

最后发布版本: v0.13.0-beta6 (2023-11-25 05:51:02)

官方网址 GitHub网址


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


View the documentation at


If you would like to make a donation to support development, please use Github Sponsors.


Integration into Home Assistant

Also comes with a builtin UI:


最近版本更新:(数据更新于2023-11-29 11:47:20)

2023-11-25 05:51:02 v0.13.0-beta6

2023-11-10 08:57:28 v0.13.0-beta5

2023-11-04 23:42:40 v0.13.0-beta4

2023-10-29 01:44:52 v0.13.0-beta3

2023-09-25 06:07:28 v0.13.0-beta2

2023-09-14 18:28:28 v0.13.0-beta1

2023-06-11 21:36:14 v0.12.1

2023-04-08 23:29:05 v0.12.0

2023-04-02 19:57:52 v0.12.0-rc2

2023-03-25 10:32:05 v0.12.0-rc1


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


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