Erich Blume
dc4d35024f
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>
82 lines
3 KiB
Markdown
82 lines
3 KiB
Markdown
---
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title: Frigate
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modified: 2026-02-17
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tags:
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- service
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- surveillance
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---
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# Frigate
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Open-source network video recorder (NVR) with object detection. Runs cloud-free with all video stored locally on [[sifaka]].
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## Quick Reference
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| Property | Value |
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|----------|-------|
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| **URL** | https://nvr.ops.eblu.me |
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| **Tailscale URL** | https://nvr.tail8d86e.ts.net |
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| **Namespace** | `frigate` |
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| **Image** | `ghcr.io/blakeblackshear/frigate:0.17.0-rc2-standard-arm64` |
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| **Upstream** | https://github.com/blakeblackshear/frigate |
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| **Manifests** | `argocd/manifests/frigate/` |
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## Architecture
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```
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ReoLink Camera (GableCam)
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│ RTSP
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▼
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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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## Cameras
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| Camera | IP | Location | Objects Tracked |
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|--------|----|----------|-----------------|
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| GableCam | `192.168.1.159` | Front gable | person, car, dog, cat, bird |
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Camera credentials are stored in 1Password and synced via [[external-secrets]] to the `frigate-camera` Secret.
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## Detection
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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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## Retention
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| Type | Duration | Mode |
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|------|----------|------|
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| Continuous recording | 3 days | all |
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| Alert clips | 30 days | active objects |
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| Detection clips | 14 days | motion |
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| Snapshots | 14 days | — |
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## Storage
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| Mount | Backend | Size |
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|-------|---------|------|
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| `/media/frigate` | NFS PV on [[sifaka]] (`/volume1/frigate`) | 2 Ti |
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| `/db` | Local PVC (`frigate-database`) | SQLite |
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| `/dev/shm` | Memory-backed `emptyDir` | 256 Mi |
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## Alerting (frigate-notify)
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A separate **frigate-notify** pod (`ghcr.io/0x2142/frigate-notify:v0.3.5`) subscribes to Frigate's MQTT events via Mosquitto and pushes alerts to [[ntfy]] on the `frigate-alerts` topic. Alert messages include action buttons linking back to the Frigate review UI.
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## Related
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- [[ntfy]] - Push notification delivery
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- [[sifaka]] - NAS storage for recordings
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- [[observability]] - Prometheus metrics at `/api/metrics`
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- [[operationalize-reolink-camera]] - Original deployment plan
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