Confirm AnomalyDetector initialization in main(), wire anomaly event
broadcasts to dashboard WS as alert messages, and verify all security
mode endpoints (arm/disarm/status) return correct JSON with persistent
state across restarts.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- AnomalyDetector initialized and running in main() with periodic updates
- Anomaly events pushed to dashboard WS feed as 'alert' messages
- GET /api/anomalies?since=24h lists recent anomaly events
- POST /api/security/arm + /api/security/disarm endpoints
- GET /api/security/status returns armed, learning_until, anomaly_count_24h
- Arm/disarm state persists via learning_state SQLite table
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add trajectory accumulation, directional flow maps, and dwell time
hotspot visualization for occupancy pattern analysis.
Backend:
- FlowAccumulator records trajectory segments and dwell time in SQLite
- REST endpoints for flow map, dwell heatmap, and detected corridors
- Bresenham rasterization for flow vector aggregation
- Connected component analysis for corridor detection
Frontend:
- Pattern controls in dashboard sidebar (flow, dwell, corridors toggles)
- Time filter dropdown (7d, 30d, all time)
- 3D visualization with ArrowHelper for flow, PlaneGeometry for heatmaps
- Pulsating animation on flow arrows
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
