Libraries, lecture theatres, study spaces and atriums on a campus. Open-plan, meeting rooms, phone booths and cafés in a corporate office. Same architecture, same privacy answer, same anonymous occupancy. The number the property team and the student union both sign off on.
Live universities & offices sample
Anonymous count dots, live density. Hover any room or sub-zone for detail: open plan, meeting rooms, café, phone booths, atrium. Trends on the right are what Occivar collects per floor, per minute.
Anonymous occupancy across every zone, every hour. Compare exam week to teaching week. Compare anchor days to Fridays. Open the right number of floors at the right time. Right-size HVAC against actual demand, on a campus or in a building.
Detect over-capacity in seconds. Surface the rooms students avoid and the meeting rooms that are reserved but empty. Plan the next refurbishment or fit-out on real data instead of survey responses and Outlook calendars.
Flow lines between zones. Density hotspots at lecture-change and at lunch. The information you need for the next masterplan, the next phone-booth tender, the next bike-rack location, the next floor re-stack.
The architecture is the promise.
What the surveillance vendor offers vs what Occivar™ actually puts in your library, your study space or your office floor.
Defaults tuned for typical Australian buildings, campus and commercial.
We are not yet running a campus or a corporate deployment. The platform is built; the architecture is the reason a student union or a workplace experience team can sign off without a six-month policy negotiation. The first one to scope a pilot with us writes the template the rest will inherit.
A multi-zone deployment on one library floor, one study-space cluster, or one office floor. Five to eight edge sensors. Weekly reports to property services. Monthly summaries into the sustainability pack and the workplace-experience review. Designed with student-union and workplace-council sign-off in mind from day one, because the architecture removes the surveillance question entirely.
Pre-pilot. Field deployment targeted H2 2026.
A university cannot deploy a surveillance camera in a library and call it study-space analytics. A corporate landlord cannot point a camera at an open-plan floor and call it workplace utilisation. The trade is structural: the model runs on the sensor, the raw frame never leaves it, and the platform sees only anonymous counts. The student union, the works council, the union rep: none of them have to trust a policy, because the policy isn't load-bearing. The architecture means there is nothing identifying to retain.
