Cameras that understand
your people, not just record them.
PeopleSense AI turns ordinary CCTV into a live intelligence layer — presence, attendance, dwell, and behaviour, computed at the edge in real time and surfaced in a console your team actually opens.
Built for the workforce floor and the storefront.
The same on-device vision engine, tuned into two purpose-built products — because a factory floor and a sweet shop counter ask completely different questions of a camera.
Workforce intelligence
Attendance, presence and zone activity — computed from the cameras you already have, with no badge, no app, no manual sign-in.
- Real-time who's-on-site, per zone and department
- Arrival, departure and dwell — reconciled automatically
- Unauthorised-absence and after-hours alerting
- Live camera wall with capped, audited playback
Storefront analytics
Understand footfall, dwell and service moments across a store or a chain, without touching a POS integration.
- Footfall, repeat-visitor and peak-hour patterns
- Dwell-by-area — counters, aisles, seating
- Queue and counter-wait signals
- Security and after-hours event review
Inference happens at the camera. Decisions happen in the console.
Nothing waits on a round-trip to the cloud to know who just walked in. The edge device does the seeing; the console does the deciding.
Edge device
An on-site AI unit runs detection and recognition directly on its NPU against your existing RTSP cameras — no re-cabling, no cloud dependency for the core loop.
camera → edge NPU → local decisionSync & retain
Only the compact, meaningful signal — presence, identity, zone, timestamp — is synced to the cloud. Raw video stays local; nothing streams continuously off-site by default.
edge → compact event → cloudConsole & alerts
A live, role-based console turns that stream into dashboards, alerts and reports — reachable from a browser, tuned for the person who has to act on it.
cloud → dashboard → decisionThe parts that make it hold up in a real building.
On-device face recognition
Detection and recognition run on the edge NPU against a live camera wall, with pose and quality checks before a match is ever recorded.
Zone & dwell analytics
Every space is mapped into zones so presence and time-spent are attributed to an area, not just a timestamp.
Fleet-wide OTA updates
Camera configuration, detection models and agent firmware update over the air across every site, with staged rollout and rollback.
Live camera console
A capped-playback, audited live view — HLS delivery through a global edge network, not an open, unmonitored stream.
One console, many sites
Tenant, client, site and camera are first-class — a new location is configuration, not a new deployment.
Privacy by construction
Face data stays scoped to the site it was captured at; retention and access are configurable per customer, not shared across tenants.
Bring your own cameras. We'll handle the seeing.
Most sites are live within a couple of weeks of the first walkthrough — no re-cabling, no ripping out your existing NVR.
Tell us about your site.
Number of cameras, the building type, and what you're hoping to see — that's enough for us to tell you if it's a fit.
We reply from a real person, not a ticket queue. If you'd rather write directly: