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NVR with realtime local object detection for IP cameras
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Bump on-headers and compression in /docs 
Bumps [on-headers](https://github.com/jshttp/on-headers) and [compression](https://github.com/expressjs/compression). These dependencies needed to be updated together.

Updates `on-headers` from 1.0.2 to 1.1.0
- [Release notes](https://github.com/jshttp/on-headers/releases)
- [Changelog](https://github.com/jshttp/on-headers/blob/master/HISTORY.md)
- [Commits](https://github.com/jshttp/on-headers/compare/v1.0.2...v1.1.0)

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- [Release notes](https://github.com/expressjs/compression/releases)
- [Changelog](https://github.com/expressjs/compression/blob/master/HISTORY.md)
- [Commits](https://github.com/expressjs/compression/compare/1.8.0...v1.8.1)

---
updated-dependencies:
- dependency-name: on-headers
  dependency-version: 1.1.0
  dependency-type: indirect
- dependency-name: compression
  dependency-version: 1.8.1
  dependency-type: indirect
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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