Add Apple Silicon ZMQ detector for Frigate
Moves object detection from ONNX CPU (~117ms/frame) to the apple-silicon-detector running natively on indri via CoreML/Neural Engine (~15ms), communicating with Frigate over ZMQ (tcp://host.minikube.internal:5555). - New ansible role `frigate_detector` with LaunchAgent - Switch Frigate configmap from ONNX to ZMQ detector - Remove detect FPS cap (no longer needed with fast inference) - Update docs and add changelog fragment Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@ -27,12 +27,14 @@ Open-source network video recorder (NVR) with object detection. Runs cloud-free
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ReoLink Camera (GableCam)
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│ RTSP
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▼
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Frigate pod
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├── go2rtc — RTSP restream proxy
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├── FFmpeg — stream decoding
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├── ONNX detector — object detection (YOLO-NAS-s, CPU)
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├── /media/frigate — NFS recordings (sifaka)
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└── /db — SQLite (local PVC)
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Frigate pod (minikube)
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├── go2rtc — RTSP restream proxy
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├── FFmpeg — stream decoding
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├── ZMQ detector ──tcp://host.minikube.internal:5555──→ apple-silicon-detector
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│ ├── CoreML / Neural Engine
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│ └── LaunchAgent (mcquack.eblume.frigate-detector)
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├── /media/frigate — NFS recordings (sifaka)
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└── /db — SQLite (local PVC)
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│
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└──→ MQTT (Mosquitto) → frigate-notify → ntfy → mobile
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```
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@ -47,7 +49,7 @@ Camera credentials are stored in 1Password and synced via [[external-secrets]] t
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## Detection
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Object detection uses ONNX with a YOLO-NAS-s model running on CPU (ARM64). The model file lives on the NFS recordings volume at `/media/frigate/models/yolo_nas_s.onnx`.
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Object detection uses the [apple-silicon-detector](https://github.com/frigate-nvr/apple-silicon-detector), which runs natively on [[indri]] as a LaunchAgent (`mcquack.eblume.frigate-detector`). It communicates with Frigate via ZMQ over TCP (`tcp://host.minikube.internal:5555`), leveraging CoreML and the M1 Neural Engine for ~15ms inference (down from ~117ms with ONNX CPU).
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A `driveway_entrance` zone is configured for alert filtering — only detections in this zone trigger review alerts.
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