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.

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

You need to map the default frigate container ports to your local Synology NAS ports that you want to use to access Frigate. There may be other services running on your NAS that are …

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 …

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.

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.

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+ 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.

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 …

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 …