With Frigate's local processing, there is no need to pay for your personal camera footage to be sent to the cloud for analysis. Stop reviewing shadows and wind and start reviewing detections …

Frigate uses the following locations for read/write operations in the container. Docker volume mappings can be used to map these to any location on your host machine. /config: Used to …

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 …

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 …

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. You will be able to fine tune …

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 …

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 …

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 …

Frigate uses motion detection as a first line check to see if there is anything happening in the frame worth checking with object detection. Once motion is detected, it tries to group up …

Frigate will only attempt to download a model if it does not exist in the cache. This means you can backup the directory and/or use it completely offline. Can I keep using my Frigate+ models …