The ceiling-mounted 3D cameras visually count and track passengers’ end-to-end movement to help minimise the effect of queues. Using advanced deep-learning algorithms, queue formations, and individualised, fully anonymised movement patterns are presented.
The camera goes beyond basic counting – accurately distinguishing children, adults and objects, and analysing the data based on time, location, height, speed, mass, and direction of travel.
It provides wait times in both dynamically forming queues and per unique zone, as well as, per-airline, per-counter, per-passenger-class wait times, for instance, at check-in where counters can be dynamically assigned throughout the day. Additional insights available include detailed use of assets, such as check-in counters, security lanes, passport control booths etc.
As Veovo already supports and utilises data from multiple sensor technologies, including WiFi/BLE/Bluetooth-enabled sensors and various other sources, the addition of 3D cameras to the overall offering, provides even greater reach and flexibility, and adaptable to a multitude of airport environments.
By being able to combine sensor technologies, the solution eliminates blind spots around the airport terminal without requiring excessive sensors. It enables airports to move beyond single-process measurements to airport-wide flow management, without relying on single-technology solutions.