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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2026-09-04 11:14:18 +05:30
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import { useEffect, useState } from 'react'
import { api } from '../bridge.js'
import { usePolled, fmtTime } from '../hooks.js'
// What is happening right now. The first screen a shop manager opens, so it
// answers "is it working" before it answers anything else.
export default function Live() {
const { data, error } = usePolled(() => api.live(), 3000)
const { data: pipe } = usePolled(() => api.pipelineStatus(), 5000)
const cams = useCameraFeeds()
const cameras = data?.stats?.cameras ?? []
const gallery = data?.stats?.gallery ?? {}
const events = data?.events ?? []
// fraction_below_gate is the number that decides a site: what share of the
// faces this camera saw were too poor to enrol. Surfaced here rather than
// buried, because a high value looks exactly like "a quiet day".
const worst = cameras.reduce((acc, c) => {
const f = c?.pipeline?.best_quality?.fraction_below_gate
return typeof f === 'number' && f > acc ? f : acc
}, 0)
return (
<div className="page">
<header>
<h2>Live</h2>
<p>Cameras, recent detections, and whether this site is recognising people.</p>
</header>
{error && <div className="err">{error}</div>}
<div className="grid cols-4" style={{ marginBottom: 16 }}>
<Stat label="People known" value={gallery.identities ?? '—'} />
<Stat label="Sightings" value={gallery.sightings ?? '—'} />
<Stat label="Cameras live"
value={`${cameras.filter(c => c.connected).length}/${cameras.length || 0}`} />
<Stat label="Below quality gate"
value={cameras.length ? `${Math.round(worst * 100)}%` : '—'}
tone={worst > 0.5 ? 'bad' : worst > 0.2 ? 'warn' : 'ok'}
sub={worst > 0.5 ? 'Most visitors are being missed — check camera placement'
: 'Share of faces too poor to enrol'} />
</div>
<Pipeline pipe={pipe} />
<div className="grid cols-2">
<div>
<div className="card">
<h3>Cameras</h3>
{cameras.length === 0
? <div className="empty">No cameras yet. Add one in Cameras.</div>
: <div className="feeds">
{cameras.map(c => (
<div className="feed" key={c.camera_id}>
{cams[c.camera_id]
? <img src={cams[c.camera_id]} alt={c.camera_id} />
: <div style={{ aspectRatio: '16/9' }} />}
<div className="cap">
<span>{c.camera_id}</span>
<span className={`pill ${c.connected ? 'ok' : 'bad'}`}>
<i className={`dot ${c.connected ? 'ok' : 'bad'}`} />
{c.connected ? 'live' : 'offline'}
</span>
</div>
</div>
))}
</div>}
</div>
</div>
<div className="card">
<h3>Recent detections</h3>
{events.length === 0
? <div className="empty">Nothing detected yet.</div>
: <ul className="events">
{events.map((e, i) => <EventRow key={i} e={e} />)}
</ul>}
</div>
</div>
</div>
)
}
// Whether anything is actually reaching head office. Without this the app can
// look perfectly healthy while every detection piles up on disk unsent — which
// is exactly what it did before the bridge existed.
function Pipeline({ pipe }) {
if (!pipe) return null
// A PC set up on its own is not "not linked yet" — nothing is coming, and
// saying so with an idle dot beside a count of zero reads as a fault.
if (pipe.standalone) {
return (
<div className="card" style={{ marginBottom: 16, display: 'flex',
gap: 10, alignItems: 'center' }}>
<i className="dot ok" />
<strong style={{ fontSize: 13 }}>Running on this PC only</strong>
<span className="note">Recognition and customers stay here.</span>
</div>
)
}
const stuck = pipe.claimed && !pipe.broker_up
return (
<div className="card" style={{ marginBottom: 16, display: 'flex',
gap: 22, alignItems: 'center', flexWrap: 'wrap' }}>
<span style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
<i className={`dot ${!pipe.claimed ? 'idle' : pipe.broker_up ? 'ok' : 'bad'}`} />
<strong style={{ fontSize: 13 }}>
{!pipe.claimed ? 'Not linked to head office'
: pipe.broker_up ? 'Sending to head office' : 'Offline — saving locally'}
</strong>
</span>
<span className="note">{pipe.accepted} recorded today</span>
{pipe.queued > 0 && (
<span className="note" style={stuck ? { color: 'var(--warn)' } : undefined}>
{pipe.queued} waiting to send
</span>
)}
{pipe.dropped > 0 && (
<span className="note" style={{ color: 'var(--bad)' }}>
{pipe.dropped} lost — this PC was offline too long
</span>
)}
</div>
)
}
function EventRow({ e }) {
const cls = e.type === 'person.new' ? 'new'
: e.type === 'person.seen' ? 'seen'
: e.type === 'person.missed' ? 'miss' : ''
const age = e.data?.age ?? e.data?.age_range
const extra = [e.data?.gender, age, e.data?.emotion].filter(Boolean).join(', ')
return (
<li>
<span className="when">{fmtTime(e.ts)}</span>
<span className={`tag ${cls}`}>{label(e.type)}</span>
<span style={{ flex: 1, minWidth: 0 }}>
{e.data?.label || e.camera_id}
{extra && <span className="note"> · {extra}</span>}
</span>
</li>
)
}
// The event names are internal; a shop manager should not have to learn them.
function label(type) {
return {
'person.new': 'new',
'person.seen': 'returning',
'person.missed': 'missed',
'camera.up': 'camera up',
'camera.down': 'camera down',
'identity.merged': 'merged',
}[type] ?? type
}
function Stat({ label, value, sub, tone }) {
return (
<div className="card stat">
<h3>{label}</h3>
<div className="value" style={tone ? { color: `var(--${tone})` } : undefined}>
{value}
</div>
{sub && <div className="sub">{sub}</div>}
</div>
)
}
// Stream URLs are fetched once per camera and then left alone: reassigning an
// MJPEG <img> src restarts the stream, so rebuilding them on every poll would
// make every feed flicker permanently.
function useCameraFeeds() {
const [urls, setUrls] = useState({})
const { data } = usePolled(() => api.cameras(), 10000)
useEffect(() => {
let cancelled = false
;(async () => {
const next = {}
for (const cam of data ?? []) {
if (urls[cam.id]) { next[cam.id] = urls[cam.id]; continue }
try { next[cam.id] = await api.streamURL(cam.id) } catch { /* engine down */ }
}
const changed = Object.keys(next).length !== Object.keys(urls).length ||
Object.keys(next).some(k => next[k] !== urls[k])
if (!cancelled && changed) setUrls(next)
})()
return () => { cancelled = true }
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [data])
return urls
}