
Frigate NVR
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 models designed specifically for Frigate with Frigate+.
Installation | Frigate
Frigate is a Docker container that can be run on any Docker host including as a HassOS Addon. Note that a Home Assistant Addon is not the same thing as the integration. The integration is required to integrate Frigate into Home Assistant.
Models | Frigate
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 accuracy with less resources.
Introduction | Frigate
Frigate. Introduction. On this page. Introduction. 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 strongly recommended. CPU detection should only be used for testing purposes.
Getting started | Frigate
Frigate will create a config file if one does not exist on the initial startup. The following directory structure is the bare minimum to get started. Once Frigate is running, you can use the built-in config editor which supports config validation.
Frigate+
Support open source Frigate Create an account Login With Frigate+, you get a model fine tuned to your cameras for improved accuracy in your specific conditions.
Recommended hardware | Frigate
Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powerful Jetson Orin AGX. It will make use of the Jetson's hardware media engine when configured with the appropriate presets, and will make use of the Jetson's GPU and DLA for object detection when configured with the TensorRT detector.
Generative AI | Frigate
Generative AI can be used to automatically generate descriptive text based on the thumbnails of your tracked objects. This helps with Semantic Search in Frigate to provide more context about your tracked objects. Descriptions are accessed via the Explore view in the Frigate UI by clicking on a tracked object's thumbnail.
Motion Detection | Frigate
The easiest way to tune motion detection is to use the Frigate UI under Settings > Motion Tuner. This screen allows the changing of motion detection values live to easily see the immediate effect on what is detected as motion.
Home Assistant Integration | Frigate
The Frigate integration requires the mqtt integration to be installed and manually configured first. See the MQTT integration documentation for more details. In addition, MQTT must be enabled in your Frigate configuration file and Frigate must be connected to the same MQTT server as Home Assistant for many of the entities created by the ...