blakeblackshear/frigate
Fork: 1750 Star: 19161 (更新于 2024-11-13 16:34:38)
license: MIT
Language: TypeScript .
NVR with realtime local object detection for IP cameras
最后发布版本: v0.14.0 ( 2024-08-08 21:18:42)
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
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
最近版本更新:(数据更新于 2024-08-26 01:50:14)
2024-08-08 21:18:42 v0.14.0
2024-08-03 21:12:50 v0.14.0-rc2
2024-07-28 01:49:59 v0.14.0-rc1
2024-07-14 02:01:09 v0.14.0-beta4
2024-06-16 02:00:24 v0.14.0-beta3
2024-06-02 01:00:37 v0.14.0-beta2
2024-05-26 01:16:44 v0.14.0-beta1
2024-02-17 22:54:01 v0.13.2
2024-02-01 07:34:59 v0.13.1
2024-01-31 09:24:15 v0.13.0
主题(topics):
ai, camera, google-coral, home-assistant, home-automation, homeautomation, mqtt, nvr, object-detection, realtime, rtsp, tensorflow
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