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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# Two stages: the runtime image carries the binary and nothing else.
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# Must match the `go` directive in go.mod. A lower builder fails with
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# "go.mod requires go >= X" because GOTOOLCHAIN=local inside the image - the
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# local build hid this by silently downloading a newer toolchain.
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FROM golang:1.25-alpine AS build
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WORKDIR /src
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COPY go.mod go.sum ./
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RUN go mod download
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COPY . .
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ARG VERSION=dev
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# CGO off gives a static binary, which is what makes the scratch-like runtime
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# below possible and removes the whole class of glibc/musl surprises.
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RUN CGO_ENABLED=0 GOOS=linux go build -trimpath \
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-ldflags "-s -w -X main.version=${VERSION}" \
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-o /out/behavision-server ./cmd/behavision-server
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FROM alpine:3.20
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# ca-certificates for outbound TLS (object storage, webhooks). tzdata because
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# footfall is reported in each site's local time and the container's default
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# UTC-only image would make every report an hour or more wrong.
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RUN apk add --no-cache ca-certificates tzdata && \
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adduser -D -u 10001 behavision
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COPY --from=build /out/behavision-server /usr/local/bin/behavision-server
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USER behavision
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EXPOSE 8080
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ENTRYPOINT ["/usr/local/bin/behavision-server"]
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