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A complete and local NVR designed for Home Assistant with AI object detection

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balena-frigate

Frigate is a complete and local NVR designed for Home Assistant with AI object detection. It uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.

Hardware Required

https://blakeblackshear.github.io/frigate/hardware

Getting Started

You can one-click-deploy this project to balena using the button below:

Deploy with balena

Manual Deployment

Alternatively, deployment can be carried out by manually creating a balenaCloud account and application, flashing a device, downloading the project and pushing it via the balena CLI.

Environment Variables

  • FRIGATE_MQTT_USER: Replaced at runtime in frigate.yml
  • FRIGATE_MQTT_PASSWORD: Replaced at runtime in frigate.yml
  • FRIGATE_RTSP_USER: Replaced at runtime in frigate.yml
  • FRIGATE_RTSP_PASSWORD: Replaced at runtime in frigate.yml
  • TZ: Inform services of the timezone in your location
  • SET_HOSTNAME: Set a custom hostname on application start (default is frigate)

Usage/Examples

Once your device joins the fleet you'll need to allow some time for it to download the application and start the services.

When it's done you should be able to access the access the app at http://frigate.local.

Additional usage instructions for Frigate can be found here: https://blakeblackshear.github.io/frigate/.

Wyze bridge

There is an optional wyze-bridge service in case you own Wyze cameras and want to connect them to Frigate.

Just add the environment variables WYZE_EMAIL and WYZE_PASSWORD to the wyze-bridge service and start adding cameras to the Frigate yml with the RTSP URL rtsp://wyze-bridge:8554/camera-nickname.

Additional usage instructions can be found here: https://github.com/mrlt8/docker-wyze-bridge

Contributing

Please open an issue or submit a pull request with any features, fixes, or changes.

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A complete and local NVR designed for Home Assistant with AI object detection

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