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Core ML Detector

pacoswilliams@gmail.com · v0.1.0

Core ML Detector is a macOS Apple-silicon worker that consumes motion-gated evidence, verifies its model fingerprint, and writes provenance-backed detections.


permissions

Read detectionsCreate detectionsfilesystem:readfilesystem:writecompute:aiSettings panel

capabilities

  • Apple Core ML inference
  • Motion-gated processing
  • Model fingerprint verification
  • Detection provenance

install

  1. Install Core ML Detector on an Apple-silicon recorder.
  2. Place a reviewed compiled model in the NVR model directory.
  3. Grant one camera and enter the model fingerprint.
  4. Enable the extension and verify its readiness heartbeat.

The NVR app verifies the package signature before install. Local unsigned installs stay for development mode only.

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