blakeblackshear/frigate
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)
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:
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
主题(topics):
ai, camera, google-coral, home-assistant, home-automation, homeautomation, mqtt, nvr, object-detection, realtime, rtsp, tensorflow
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