speedwatch v0.1.0

First release of speedwatch — a standalone, self-hosted vehicle speed-detection and ANPR service for a single fixed camera. Runs as a Windows service on AMD / DirectML; no Docker.

Pipeline

• 4K RTSPS ingest with GPU decode (ffmpeg -hwaccel d3d11va)
• YOLO11 detection on onnxruntime-DirectML + ByteTrack tracking
• Real-world speed via a lens-undistorted homography (mph)
• Number-plate recognition (fast-alpr)
• Motion-gated capture; clean 30 fps clips; empty events dropped

Vehicles & enrichment

• Per-plate vehicle registry (speeds, pass counts, representative image)
• Plate grouping / OCR-variant merging (edit-distance + appearance)
• Manual assignment of plateless / mis-read passes to a vehicle
• Local AI descriptions (colour/make/model) via Ollama — optional
• Vehicle Re-ID embeddings for visual grouping + an Unidentified review queue — optional

Review & evidence

• Web UI + REST API (FastAPI, :8765), confidence scoring and review labelling
• Confirmed-speeder flagging + evidence export (ZIP of clips/stills + CSV manifest)

Calibration

• On-screen lens-distortion tuner (plumb-line) or chessboard intrinsics
• Click-to-measure zone homography

See the README for setup (bootstrap.ps1), configuration, and calibration.

License: AGPL-3.0 (inherited from the Ultralytics YOLO11 dependency).