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# Optional: Default for all object types (default: not set, track forever) # copy these values from the example config into your config unless you know they are needed. # There are very few situations where you would want it disabled. # WARNING: Setting these values overrides default behavior and disables stationary object tracking. For example, you may want to set a value for person, but leave # It can also be used to disable stationary object tracking. # This can help with false positives for objects that should only be stationary for a limited amount of time. # Optional: Define a maximum number of frames for tracking a stationary object (default: not set, track forever)

# Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s) # If set to 10, object detection will run to confirm the object still exists on every 10th frame. # When set to 0, object detection will not confirm stationary objects until movement is detected.

# Optional: Frequency for confirming stationary objects (default: shown below) # Optional: Configuration for stationary object tracking # Optional: Number of frames without a detection before frigate considers an object to be gone. # This value can be set via MQTT and will be updated in startup based on retained value # Optional: enables detection for the camera (default: True) Ideally, try and reduce your FPS on the camera. # Optional: desired fps for your camera for the input with the detect role (default: shown below) # Optional: height of the frame for the input with the detect role (default: shown below) # Optional: width of the frame for the input with the detect role (default: shown below) # NOTE: Can be overridden at the camera level # Required: Object detection model input height (default: shown below) # Required: Object detection model input width (default: shown below) # Optional: path to the labelmap (default: shown below) # Optional: path to the model (default: automatic based on detector) # Optional: device name as defined here: # Valid values are 'edgetpu' (requires device property below) and 'cpu'. Host: # using HiveMQ MQTT Broker for testing purpose

Please open the terminal app and type in following command: To check if you have successfully installed Docker:

#Odyssey slipways lancer frigate length install

Please follow the Install Docker Engine on Debian guide to install Docker Engine and Docker Compose. STEP 2: Make sure you have installed Docker Engine and Docker Compose on Debian 11

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Please go a head download Debian 11 OS image and follow this setup guide to install Debian 11 Operating System on Odyssey Blue. STEP 1: Make sure you have installed Debian 11 on Odyssey Blue

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In this guide, we will show you how to config Frigate docker environment to preform local AI detection on the RTSP camera stream on Seeed Studio Odyssey Blue with Coral USB Accelerator, for home assistant add-on setup, please stay turned!! Make sure Odyssey Blue is connected to the same network or have access to your RTSP web camera.

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1 x Odyssey Blue: Quad Core Celeron J4125 Mini PC with 128GB external SSD.

Frigate can process 100+ object detections per second with a single Google Coral TPU on board, you could customize the detect zones and masks to met your use case, it can also be integrated into Home Assistant and other automation platforms with minimum amount of setup effort to provide more security features and integrate Edge AI solutions to your valuable property. All processing is performed locally on your own hardware, and your camera feeds never leave your home." - Frigate NVRįrigate NVR is one of the most popular network video recorder project which adds local processed AI function to your security cameras, therefore not only you won't be charged with ridiculously amount of money for the cloud inference server, but also your valuable private camera stream date won't need to exposed to the wild internet. "Frigate is an open source NVR built around real-time AI object detection. *frigate show case image from frigate official site