Time-of-Flight depth sensing counts every passenger entering and leaving the checkpoint at its choke points, while patented signal sensing follows movement through the queue area. Ariadne combines both streams centrally into live queue length and throughput, so operations teams can see pressure building and open lanes before the line does.

Yes. Coverage can span curb, check-in, security, and airside retail in one deployment, because the measurement involves no personal data: no cameras, no images, and no MAC address captured by default. What reaches the platform is presence and movement, so the security line is not a data-protection boundary for the system.

By measuring how many passengers pass, enter, and dwell in retail and food and beverage zones. Capture rate per storefront, dwell time per zone, and transitions between areas show which locations underperform their traffic, and sales integration ties visits to revenue. Glasgow Airport talks about working with Ariadne in the video on this page.

The high-risk categories in Annex III concern biometric identification and categorisation. Ariadne captures no images and no biometric data at the sensor, so there is nothing biometric to classify: the architecture sits structurally outside those categories rather than relying on an exemption. For procurement review, it is a non-biometric measurement system.

Counting does not depend on the phone. Time-of-Flight depth sensing counts every person at entrances and choke points regardless of any device. For movement through the terminal, Ariadne's patented signal sensing detects the signals a phone emits even in airplane mode. Together the two streams keep the numbers device-independent.

Yes. API integration moves counts, occupancy, and dwell metrics into your own operations tools, and automated weekly and monthly reports go directly to the teams that need them.