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NVR with realtime local object detection for IP cameras

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NVR with realtime local object detection for IP cameras

# Frigate NVR™ - Realtime Object Detection for IP Cameras \[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md) A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) 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](https://docs.frigate.video/configuration/object_detectors/). - Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration) - 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](https://github.com/sponsors/blakeblackshear). ## License This project is licensed under the **MIT License**. - **Code:** The source code, configuration files, and documentation in this repository are available under the [MIT License](LICENSE). You are free to use, modify, and distribute the code as long as you include the original copyright notice. - **Trademarks:** The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are **trademarks of Frigate, Inc.** and are **not** covered by the MIT License. Please see our [Trademark Policy](TRADEMARK.md) for details on acceptable use of our brand assets. ## Screenshots ### Live dashboard ### Streamlined review workflow ### Multi-camera scrubbing ### Built-in mask and zone editor ## Translations We use [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) to support language translations. Contributions are always welcome. --- **Copyright © 2026 Frigate, Inc.**

核心特点

  • •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

> 标签

TypeScriptaicameragoogle-coralhome-assistant

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月9日
分类编程语言
定价开源

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