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NVR with realtime local object detection for IP cameras
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Fixes (#19708) 
* use custom swr fetcher to check for audio support

The go2rtc API doesn't always return stream data for anything not being actively consumed, so audio support was not always being correctly deduced. So we can use a custom swr fetcher to call the endpoint that probes the streams, which returns the correct producers data.

* return correct mime type for thumbnail and latest frame endpoints

follow up to https://github.com/blakeblackshear/frigate/pull/19555
2025-08-22 07:04:30 -05:00
.cspell Fixes (#18304) 2025-05-19 14:43:22 -06:00
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docker Use sed on correct file (#19590) 2025-08-18 07:21:42 -06:00
docs remove h264 reference for webrtc (#19688) 2025-08-21 08:21:18 -06:00
frigate Fixes (#19708) 2025-08-22 07:04:30 -05:00
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README.md

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Frigate - NVR With Realtime Object Detection for IP Cameras

Translation status 
English

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 such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs 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

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Multi-camera scrubbing

Translations

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

Translation status