Restrooms
V-Count turns a public restroom into a measured facility. Entrance-mounted sensors count everyone who walks into the washroom corridor, so cleaning teams stop working to a fixed clock and start working to real usage.
A restroom occupancy counter tells you how many visits a block has taken since it was last serviced, how many people are inside right now, and when the next peak is due. Men’s and women’s facilities are counted as separate zones, sensors sit at the entrance only — never inside cubicles — and no images or personal data are stored.
Shopping malls, airports, offices, stadiums and motorway services use the numbers to route janitors, size consumables orders and prove service levels to the client who signed the facility contract.
Explore the gallery showcasing our diverse range of customers. We’re proud to work with these leading brands, providing visitor analytics solutions that drive their success.


















Benefits of Visitor Analytics for the Restroom Management
Counting restroom visits changes cleaning from a timetable into a response. Every entrance is counted in and out, so each block reports its own visits since the last service, its live occupancy and its hourly usage curve.
Cleaning is triggered when a block crosses a usage threshold, not when the clock says so, which means quiet blocks are left alone and busy ones are serviced before anyone complains. The same visit counts forecast paper, soap and liner consumption per block, and the hourly curve sets shift patterns around the peaks that matter in your venue — departure banks at an airport, lunch in an office, half-time in a stadium.
Restroom queues form quietly and are rarely reported. Live occupancy from the entrance count makes them visible: sustained high occupancy with slow entry flow means people are waiting outside the door.
Capacity and wait-time displays can hold entry when a block is full and point visitors to a quieter facility on the same floor or in the next terminal pier, which spreads demand instead of letting one block absorb it. Over a season the same data shows which blocks queue every single peak — the evidence needed to justify extra cubicles, a second entrance or a refurbishment rather than more cleaning hours.