People
4now
Most AI vision platforms start by storing video. We start by throwing it away. Our data-only camera monitoring produces the counts, flows, and alerts cities and campuses need — and nothing else.
Your cameras. No rip-and-replace. Our runtime plugs into common streams — RTSP, ONVIF, H.264.
Our chipset — or yours — runs the model locally. Video never leaves the device as video.
Once the model has counted, classified, or flagged — the frame is deleted. Not archived. Not cached. Gone.
Counts, flows, and alerts forward to your dashboard, BI system, or incident-response webhook.
Flow, occupancy, and incident detection — with zero citizen surveillance concerns.
Safety metrics without video of minors. COPPA + FERPA aligned out of the box.
Deploy city-scale analytics without creating a record of individual residents' movements.
Anonymous male/female/child counts to plan staffing — without facial recognition or ID.
Waiting rooms, corridors, and lobbies with queue metrics — never patient video.
Passenger flow and safety at stations — with no indefinite video retention on commuters.
Your DPO and legal team get a real partner, not a wishlist. We help you configure retention, access, and consent per deployment.
Only counts and flows leave the edge. Personal data is neither processed nor stored as frames.
Opt-out isn't a setting — it's how the default deployment runs, with opt-in for richer retention.
Data-only mode on all camera coverage of minors. Sensor-based detection in non-camera areas.
No student is identifiable from our outputs. Metrics are aggregate and temporally bucketed.
Talk to our privacy team. We'll walk you through a deployment configuration tailored to your jurisdiction and use case.