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Frigate audio recording not working. .


Frigate audio recording not working. ). Frigate is an open source NVR built around real-time AI object detection. . If your camera provides a general overview of a scene rather than a tightly focused view, this mode is not recommended. All processing is performed locally on your own hardware, and your camera feeds never leave your home. The update process varies slightly depending on your installation method (Docker, Home Assistant Addon, etc. Frigate's dedicated LPR mode is optimized for cameras with a narrow field of view, specifically positioned and zoomed to capture license plates exclusively. Download a couple of different thumbnails or snapshots from Frigate and try new things in the playground to get descriptions to your liking before updating the prompt in Frigate. Frigate is an open source NVR built around real-time AI object detection. 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. From the Train tab, you can assign the face to a new or existing person to improve recognition accuracy for the future. Frigate Introduction Recommended hardware Planning a New Installation Installation Updating Camera setup Video pipeline Glossary Guides Getting started Configuring go2rtc Home Assistant notifications Home Assistant network storage Setting up a reverse proxy If you already have Frigate installed as a Home Assistant Add-on, check out the getting started guide to configure Frigate. It is highly recommended to use a GPU for hardware acceleration video decoding in Frigate. Keeping Frigate up to date ensures you benefit from the latest features, performance improvements, and bug fixes. Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg. When Frigate detects and attempts to recognize a face, it will appear in the Train tab of the Face Library, along with its associated recognition confidence. If you want to use your GPU for any supported enrichments, you must choose the appropriate Frigate Docker image for your GPU and configure the enrichment according to its specific documentation. fydjmug pal lmyab rndzb mftqcbd kmmll ibgtxt weszkc mjde utjsla

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