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.

If you already have Frigate installed as a Home Assistant Add-on, check out the getting started guide to configure Frigate.

Frigate Introduction Recommended hardware Planning a New Installation Installation Updating Camera setup Video pipeline Glossary Guides Getting started Configuring go2rtc Home …

In order to review activity in the Frigate UI, recordings need to be enabled. To enable recording video, add the record role to a stream and enable it in the config.

This is potentially useful when Frigate is behind a reverse proxy, and/or when the default stream port is otherwise not accessible to Home Assistant (e.g. firewall rules).

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 …

Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce …

It is recommended to start with a minimal configuration and add to it as described in this guide and use the built in configuration editor in Frigate's UI which supports validation.

Frigate provides the following builtin detector types: cpu, edgetpu, hailo8l, onnx, openvino, rknn, and tensorrt. By default, Frigate will use a single CPU detector.

If using Frigate in a container (e.g. Docker on TrueNAS), ensure you have USB Passthrough support enabled, along with a specific Host Device (/dev/video0) + Container Device …