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+# Frigate on Raspberry Pi 5 with a USB Google Coral
+
+A ready-to-use Frigate NVR deployment for a Raspberry Pi 5 using a USB Google
+Coral EdgeTPU for hardware-accelerated object detection.
+
+Based on the official Frigate documentation: https://docs.frigate.video/
+
+---
+
+## What's in this folder
+
+```
+frigate/
+├── docker-compose.yml     # Container definition (USB Coral passthrough, ports, volumes)
+├── config/
+│   └── config.yml         # Frigate configuration (detector, cameras, recording)
+├── storage/               # Recordings, snapshots, and exports live here
+└── README.md              # This file
+```
+
+---
+
+## Before you start — hardware notes
+
+- **Power the Pi properly.** Use the official 27W USB-C supply for the Pi 5.
+- **The USB Coral is power-hungry.** If you also attach a USB SSD or other USB
+  devices, the Pi may not supply enough power and you'll get instability. Use a
+  **powered external USB hub** in that case.
+- **Plug the Coral into a USB 3.0 (blue) port**, ideally through the powered hub.
+- **No hardware video decode on the Pi 5.** Unlike the Pi 4, the Pi 5 does not
+  expose a `/dev/video11` decoder for Frigate, so camera decoding runs on the
+  CPU. Keep camera count and detect resolution modest, and use camera
+  **substreams** for the detect role (the included config already does this).
+
+---
+
+## Step 1 — Prepare the OS
+
+Use a **64-bit** Debian-based OS (Raspberry Pi OS 64-bit, Bookworm or Trixie).
+Flash it, boot, then update:
+
+```bash
+sudo apt update && sudo apt full-upgrade -y
+sudo reboot
+```
+
+## Step 2 — Install Docker and Docker Compose
+
+```bash
+curl -fsSL https://get.docker.com -o get-docker.sh
+sudo sh get-docker.sh
+```
+
+Add your user to the `docker` group so you don't need `sudo` each time:
+
+```bash
+sudo usermod -aG docker $USER
+```
+
+Log out and back in (or reboot) for the group change to apply, then verify:
+
+```bash
+docker --version
+docker compose version
+```
+
+## Step 3 — Connect and verify the USB Coral
+
+Plug the Coral in (USB 3.0 port, powered hub if you have other USB devices).
+The Frigate container ships with the EdgeTPU libraries built in, so you do **not**
+need to install any Coral runtime on the host — passing `/dev/bus/usb` into the
+container (already configured in `docker-compose.yml`) is enough.
+
+Confirm the host sees it:
+
+```bash
+lsusb
+```
+
+A freshly plugged Coral appears as `Global Unichip Corp.`; after it runs
+inference once it re-enumerates as `Google Inc.`. Either is fine.
+
+## Step 4 — Put these files on the Pi
+
+Copy this entire `frigate/` folder to the Pi (e.g. to your home directory so it
+lives at `~/frigate`). You can use `scp`, a USB stick, or `git`.
+
+```bash
+cd ~/frigate
+```
+
+## Step 5 — Set your shm-size (shared memory)
+
+Frigate stores decoded frames in shared memory. Calculate the minimum per camera
+using your **detect** resolution (this example is 720p, including logs):
+
+```bash
+python3 -c 'print("{:.2f}MB".format((1280 * 720 * 1.5 * 20 + 270480) / 1048576 + 40))'
+# ~66.63MB for one 720p camera
+```
+
+Multiply the per-camera portion by your number of cameras and add ~40MB for
+logs. The provided `docker-compose.yml` uses `512mb`, which comfortably covers
+several cameras. Adjust the `shm_size` value if needed.
+
+## Step 6 — Edit the config for your cameras
+
+Open `config/config.yml` and update:
+
+- **Camera RTSP URLs** — replace `user`, `password`, IP, and stream paths with
+  your camera's real values. The RTSP path format varies by manufacturer.
+- **`detect` width/height** — must match the resolution of the stream assigned
+  the `detect` role.
+- **MQTT** — set `enabled: true` and fill in the host if you use Home Assistant.
+
+Also change `FRIGATE_RTSP_PASSWORD` in `docker-compose.yml` from `password` to
+something of your own.
+
+## Step 7 — Start Frigate
+
+```bash
+cd ~/frigate
+docker compose up -d
+```
+
+Follow the logs to confirm a clean startup and that the Coral was found:
+
+```bash
+docker logs -f frigate
+```
+
+Look for the EdgeTPU being detected and an inference speed (typically ~8–15ms on
+a USB Coral). Press `Ctrl+C` to stop following the logs.
+
+## Step 8 — Open the web UI
+
+```
+https://<your-pi-ip>:8971
+```
+
+On first launch Frigate creates an admin account. Check the container logs for
+the initial password, log in, and change it.
+
+---
+
+## Verifying the Coral is actually being used
+
+In the web UI, open the **System / Metrics** page. Your `coral` detector should
+be listed with an inference speed and a detection FPS. If the inference speed is
+very high (hundreds of ms), detection is running on CPU and the Coral is not
+being used properly — see troubleshooting below.
+
+## Troubleshooting: Coral not detected
+
+Try these in order:
+
+1. Restart the container: `docker compose restart`
+2. Unplug/replug the Coral, then restart.
+3. Use a **powered USB hub** if other USB devices are attached — power
+   starvation is the most common cause of instability on the Pi.
+4. Try a different USB port; prefer USB 3.0 (blue).
+5. Confirm `lsusb` shows the Global Unichip or Google device.
+
+Official EdgeTPU troubleshooting: https://docs.frigate.video/troubleshooting/edgetpu
+
+---
+
+## Updating Frigate later
+
+```bash
+cd ~/frigate
+docker compose pull
+docker compose up -d
+```
+
+## Useful commands
+
+```bash
+docker compose up -d        # start (detached)
+docker compose down         # stop and remove the container
+docker compose restart      # restart
+docker logs -f frigate      # follow logs
+```
+
+---
+
+## Ports reference
+
+| Port | Purpose                                            |
+|------|----------------------------------------------------|
+| 8971 | Authenticated web UI + API (use this)              |
+| 5000 | Internal unauthenticated UI/API (expose carefully) |
+| 8554 | RTSP restreaming                                    |
+| 8555 | WebRTC (two-way talk), TCP + UDP                    |
+
+## Documentation
+
+- Installation: https://docs.frigate.video/frigate/installation
+- Object detectors (Coral): https://docs.frigate.video/configuration/object_detectors
+- Full config reference: https://docs.frigate.video/configuration/reference
+- Camera setup: https://docs.frigate.video/frigate/camera_setup
diff --git a/Frigate/config.yml b/Frigate/config.yml
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+mqtt:
+  enabled: false   # set to true and fill in host below if you use Home Assistant / MQTT
+  # host: 192.168.1.10
+  # port: 1883
+  # user: mqtt_user
+  # password: mqtt_password
+
+detectors:
+  coral:
+    type: edgetpu
+    device: usb      # single USB Coral. Uses the bundled Mobiledet model by default.
+
+cameras:
+  camera_1:
+    ffmpeg:
+      inputs:
+        # Full-resolution main stream -> used for recording
+        - path: rtsp://user:password@192.168.1.50:554/stream1
+          roles:
+            - record
+        # Lower-resolution substream -> used for detection (saves CPU on the Pi 5)
+        # If your camera has no substream, delete this block and add "detect"
+        # to the roles list above instead.
+        - path: rtsp://user:password@192.168.1.50:554/stream2
+          roles:
+            - detect
+    detect:
+      width: 1280      # must match your detect (sub)stream resolution
+      height: 720
+      fps: 5
+
+record:
+  enabled: true
+  retain:
+    days: 7
+    mode: motion
+
+snapshots:
+  enabled: true
+  retain:
+    default: 14
+
+# Objects to track. Defaults to person if omitted.
+objects:
+  track:
+    - person
+    - car
+    - cat
+    - dog
+
+version: 0.16-0
diff --git a/Frigate/docker-compose.yml b/Frigate/docker-compose.yml
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+services:
+  frigate:
+    container_name: frigate
+    privileged: true      # simplifies USB Coral access; can be tightened later
+    restart: unless-stopped
+    stop_grace_period: 30s
+    image: ghcr.io/blakeblackshear/frigate:stable
+    shm_size: "512mb"     # adjust per the calculation in the README (Step 5)
+    devices:
+      - /dev/bus/usb:/dev/bus/usb   # passes the USB Coral into the container
+    volumes:
+      - /etc/localtime:/etc/localtime:ro
+      - ./config:/config
+      - ./storage:/media/frigate
+      - type: tmpfs       # 1GB in-memory cache for recording segments
+        target: /tmp/cache
+        tmpfs:
+          size: 1000000000
+    ports:
+      - "8971:8971"       # authenticated UI + API
+      # - "5000:5000"     # internal unauthenticated access — expose carefully
+      - "8554:8554"       # RTSP restreaming
+      - "8555:8555/tcp"   # WebRTC over TCP
+      - "8555:8555/udp"   # WebRTC over UDP
+    environment:
+      FRIGATE_RTSP_PASSWORD: "password"   # change this
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