Running Frigate NVR on Raspberry Pi for Security Cameras

Running Frigate NVR on Raspberry Pi for Security Cameras Frigate is an open-source NVR with AI object detection. Run it on a Pi 4/5 for a local, private security camera system. Why Frigate 100% local — no cloud, no subscription AI detection (person, car, animal) on every camera Integrates with Home Assistant Stores recordings locally Requirements Raspberry Pi 4 or 5 (4GB minimum) RTSP-capable IP cameras USB SSD for recordings (SD card too slow/small) Optional: Coral USB TPU for accelerated detection Install Docker bash curl -fsSL https://get.docker.com | sh sudo usermod -aG docker pi Frigate Config Create /home/pi/frigate/config.yml: yaml mqtt: host: 192.168.1.x # your MQTT broker (or use Home Assistant add-on) cameras: frontdoor: ffmpeg: inputs: - path: rtsp://admin:[email protected]:554/stream roles: - detect - record detect: width: 1280 height: 720 record: enabled: true events: retain: default: 10 # days Run Frigate bash docker run -d --name frigate \ --restart unless-stopped \ --privileged \ -v /home/pi/frigate/config.yml:/config/config.yml \ -v /mnt/ssd/frigate:/media/frigate \ -p 5000:5000 -p 1935:1935 \ ghcr.io/blakeblackshear/frigate:stable Access web UI at http://raspberrypi.local:5000 Coral USB TPU (Optional) Plugging in a Coral USB Accelerator speeds up detection from ~200ms to ~10ms per frame — makes real-time detection practical for multiple cameras.

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