Xovis
A platform that uses 3D sensors and AI software to count and predict passenger flow and queues, helping airport terminals manage crowding
What is this
Xovis is a Swiss 3D-sensing and AI software platform that precisely counts foot traffic using ceiling-mounted 3D sensors, then uses AI software to analyze and predict passenger flow, queue length, and wait times. It is often used in airport terminals to visualize crowd conditions at gates such as check-in, security, and passport control in real time, and can also predict upcoming congestion.
What problem it solves
What airports fear most is a checkpoint suddenly forming a long queue with no data to respond early. Xovis lets managers see real-time counts and queue trends in each area and predict peaks, making it easy to flexibly redeploy counters and staff and display wait times, improving the passenger experience. It suits airport operators and terminal managers, and can also extend to retail, stations, and other large venues that need foot-traffic and queue management. Its core value is using sensor data to turn gut-based deployment into data-based decisions.
Key Features
- Ceiling 3D sensors precisely count foot traffic
- AI analyzes and predicts queue length and wait times
- Real-time visualization of crowds at terminal checkpoints
- Peak-congestion prediction to aid staffing
- Can display estimated wait times to passengers
Pros
- Replaces gut-based deployment with real data
- Predicts peaks in advance to reduce long queues
- Extendable to many large venues
Cons
- Requires deploying sensor hardware and upfront setup
- Value is most apparent at large, high-traffic venues
Use Cases
- Queue management at airport security and passport control
- Flexible staffing at terminal check-in counters
- Foot-traffic monitoring at stations or retail stores
Editor's Note
It turns terminal queues from guesswork into predictable data, a real win for the passenger experience.
FAQ
How does Xovis count foot traffic?
It uses ceiling-mounted 3D sensors to precisely detect and count people passing, then AI software analyzes and predicts.
Can it only be used in airports?
Airport terminals are the main use case, but the same foot-traffic and queue management can extend to stations, retail, and other large venues.
Can it predict wait times?
Yes. The platform analyzes and predicts queue length and wait times, and can display estimated wait information to passengers.
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