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Frigate introduction recommended hardware planning a new installation installation updating camera setup video pipeline glossary guides getting started configuring go2rtc home. Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. 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.

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This guide will walk you through the key considerations, focusing on the. All processing is performed locally on your own hardware, and your camera feeds never leave your home. Frigate+ models make facial and license plate recognition more efficient by detecting the.

Offloading tensorflow to a detector is an order of magnitude faster and will reduce.

When multiple frigate instances are. Restart frigate and you should start seeing detections for person. Frigate now supports facial and license plate recognition in version 0.16 (currently in beta). Frigate supports the use of environment variables starting with frigate_ only where specifically indicated in the reference config.

If you want to track other objects, they will need to be added according to the configuration file reference. Choosing the right hardware for your frigate nvr setup is important for optimal performance and a smooth experience. For example, the following values can be replaced at runtime.

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