Behavision: face recognition for retail, edge to head office
Five components that ship as one product:
- behavision/ the recognition engine. RTSP ingest, YuNet detection, IoU
tracking, ArcFace embeddings, a FAISS/SQLite gallery, and a
FastAPI dashboard. Identity is decided once per TRACK from an
average of at least three embeddings, never per frame.
- agent/ the Go edge agent: supervises the engine, holds a durable
spool, and drains it to MQTT. Nothing is acked before the
broker confirms.
- desktop/ the shop PC application (Wails + React + tray).
- server/ the cloud API, MQTT consumer, reports and assistant.
- web/ platform.loyaly.ai, the head-office app, embedded in the
server binary.
The gallery stores 512-float embeddings and timestamps - no images unless
`app.store_faces` is switched on. Those embeddings are biometric personal
data under GDPR and India's DPDP: template inversion reconstructs a
recognisable face from an ArcFace vector, so data/behavision.db is treated
as a biometric database and DELETE /api/visitors/{id} is a real erasure.
CLAUDE.md carries the reasoning behind every non-obvious decision here,
including the ones that were measured and the ones that were wrong first.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
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behavision/log.py
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28
behavision/log.py
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"""Central logging setup: console + rotating file, no print() anywhere."""
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from __future__ import annotations
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import logging
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import logging.handlers
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from pathlib import Path
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_FORMAT = "%(asctime)s %(levelname)-7s %(name)s: %(message)s"
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def setup_logging(level: str = "INFO", data_dir: "Path | None" = None) -> None:
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root = logging.getLogger()
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if root.handlers: # already configured (tests, reload)
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return
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root.setLevel(getattr(logging, level.upper(), logging.INFO))
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console = logging.StreamHandler()
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console.setFormatter(logging.Formatter(_FORMAT))
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root.addHandler(console)
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if data_dir is not None:
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log_dir = Path(data_dir) / "logs"
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log_dir.mkdir(parents=True, exist_ok=True)
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fileh = logging.handlers.RotatingFileHandler(
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log_dir / "behavision.log", maxBytes=5_000_000, backupCount=3,
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encoding="utf-8")
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fileh.setFormatter(logging.Formatter(_FORMAT))
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root.addHandler(fileh)
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