frigate README

The project's README from github.com/blakeblackshear/frigate. As one markdown file: README.md.

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Frigate NVR™ - Realtime Object Detection for IP Cameras

License: MIT

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[English] | 简体中文

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 GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.

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.

License

This project is licensed under the MIT License.

Please see our Trademark Policy for details on acceptable use of our brand assets.

Screenshots

Live dashboard

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Built-in mask and zone editor

Translations

We use Weblate to support language translations. Contributions are always welcome.

Translation status

Copyright © 2026 Frigate, Inc.

frigate (blakeblackshear/frigate)

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这是什么?Frigate 是一款完整的本地网络视频录像机(NVR),可对 IP 摄像头画面进行实时 AI 物体检测,专为与 Home Assistant 紧密集成而打造。
这是独立应用,还是 Home Assistant 插件?它是一个自托管的服务器应用(通过 Docker 运行),通过自定义组件与 Home Assistant 集成,但它也可以完全独立运行,自带网页控制面板。
我该如何让它运行起来?Frigate 通过 Docker Compose 部署,指向你的 RTSP 摄像头视频流,并配置其通过 MQTT 通信,以便与其他系统集成。
它会处理摄像头的每一帧画面吗?不会,它有意避免这样做:它先用轻量级的运动检测来判断在何处、何时运行更耗资源的物体检测步骤,优先保证实时性能,而不是对每一帧都做穷举分析。
我的摄像头数据会离开我的网络吗?不会,物体检测和录像完全在本地进行,处理摄像头画面不依赖任何云端服务。
录像和保留机制是如何工作的?Frigate 全天候 24/7 录像,并根据是否检测到物体来应用保留设置,因此可以围绕感兴趣的事件有选择地保留录像片段。
如何以低延迟观看摄像头实时画面?它支持 WebRTC 和 MSE 实现低延迟实时观看,并且可以通过 RTSP 对摄像头画面进行转发,从而减少与每台摄像头的直接连接数量。
网页控制面板提供哪些功能?它包括实时多摄像头监控面板、简化的事件回看流程、多摄像头时间轴拖动浏览,以及内置的遮罩和区域编辑器,用于调整检测区域。
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