Blake Blackshear a9d95b89e1 Web updates and fixes (#4411)
* update dependencies

* Bump loader-utils from 2.0.3 to 2.0.4 in /docs

Bumps [loader-utils](https://github.com/webpack/loader-utils) from 2.0.3 to 2.0.4.
- [Release notes](https://github.com/webpack/loader-utils/releases)
- [Changelog](https://github.com/webpack/loader-utils/blob/v2.0.4/CHANGELOG.md)
- [Commits](https://github.com/webpack/loader-utils/compare/v2.0.3...v2.0.4)

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updated-dependencies:
- dependency-name: loader-utils
  dependency-type: indirect
...

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* update BASE_PATH replacement

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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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 RTMP to reduce the number of connections to your camera

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

Integration into Home Assistant

Also comes with a builtin UI:

Events

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