Frigate is an open source NVR built around real-time AI object detection. All processing is performed locally on your own hardware, and your camera feeds never leave your home. Get access to custom …

Frigate now supports facial and license plate recognition in version 0.16 (currently in beta). Frigate+ models make facial and license plate recognition more efficient by detecting the location of faces and …

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.

Frigate is a Docker container that can be run on any Docker host including as a Home Assistant Add-on. Note that the Home Assistant Add-on is not the same thing as the integration. The integration is …

If you already have an environment with Linux and Docker installed, you can continue to Installing Frigate below.

Choosing the right hardware for your Frigate NVR setup is important for optimal performance and a smooth experience. This guide will walk you through the key considerations, focusing on the number …

You can also use the built-in file editor in the Frigate UI to edit the configuration file. VS Code Configuration Schema VS Code supports JSON schemas for automatically validating configuration files.

Frigate+ offers models trained on images submitted by Frigate+ users from their security cameras and is specifically designed for the way Frigate NVR analyzes video footage. These models offer higher …

The best way to integrate with Home Assistant is to use the official integration.

Full configuration reference: It is not recommended to copy this full configuration file. Only specify values that are different from the defaults. Configuration options and default values may change in future …