Live + historical
Real-time density across every zone. Day, week, month, year. Compare against baselines. Annotate events.
Counts, density and dwell - measured on-device, streamed to the dashboard, integrated into the systems that already run your building. No video. No biometric data. Just the answer.
Live occupancy, sample university & office floor
Thirteen rooms, four sub-zoned hotspots, walking dots that route through doors. Hover any room or sub-zone for occupancy, density, CO₂, sound and temperature. Trends on the right are what Occivar collects per floor, per minute.
Three components. None of them store video. None of them know who you are.
A compact PoE-powered edge device with a wide-angle camera. Ceiling, wall or pole mount. Calibrated to the zone on install. The model lives on the device. More on the occupancy sensor.
Frames are inferenced locally and discarded in the same tick. What leaves the device is a count vector, a density grid, and event flags - never a frame, never a face.
Dashboards, alerts and integrations on the platform side. Counts age out per your retention policy (default 365 days). Raw video never existed to delete.
Sample deployment · Floor 4 (library or open-plan)
Sample data for illustration. Anonymised origin. Per-zone air quality + foot-traffic mirror the trends shown beside the live floorplan above.
Real-time density across every zone. Day, week, month, year. Compare against baselines. Annotate events.
See the corner that's actually used and the corridor that isn't. Density-by-hour. Dwell-by-zone broken out by sub-zone (counter vs booth vs communal table, desks vs collab vs print). Flow lines between zones with direction-aware door counts.
CSV, PDF reports, scheduled emails, raw counts via REST. Snowflake / BigQuery direct sync. Your data, your formats.
Same room. Different architecture.
Left: surveillance era. Right: anonymous counts on-device. The architecture, not the policy, is the promise.