Gatwick Airport (LGW) in the UK has partnered with technology firm Veovo to deploy the latter’s Passenger Predictability solution for smooth passenger flow.

The Veovo solution uses artificial intelligence (AI), which will enable Gatwick Airport to monitor passenger movement at the security areas in the North and South terminal in real-time.

This information will also help the airport officials prepare a plan for lane openings and forecast bottlenecks.

Veovo CEO James Williamson said: “Passenger Experience is at the heart of Gatwick’s strategy. We are delighted that the airport has chosen Veovo technology to help make the security checkpoint experience as efficient and smooth as possible.

“Harnessing all available data, together with behavioural science, will enable the airport to better learn from the past, predict the future, and make more informed decisions. We are confident that it will present a unique opportunity for the airport to optimise processes and improve people flow.”

Veovo claims that its Passenger Predictability solution has been designed to offer metrics including waiting times, occupancy, and passenger throughput.

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These features would help airports prevent passenger congestion and lower waiting times.

The tech firm’s platform has the flexibility to aggregate data from any source as it is not tied to any proprietary sensor technology.

In order to gain better insights on passenger behaviour, Gatwick Airport can integrate its existing stereo vision camera’s with new Internet of things (IoT) sensors and data sources.

Manchester (MAN), Newark (EWR) and Amsterdam Schiphol (AMS) are some of the other airports that have implemented this solution.

Gatwick Airport development director Bronwen Jones said: “Veovo’s Cloud solution will help to make our business more resilient by allowing us to accurately measure passenger flow so that we can respond quickly and efficiently to any changes.

“The new technology will not only lead to smoother journeys for our passengers by increasing automation and optimising our processes, but it is also future-proofed, scalable and, by being cloud-hosted off-site, supports our commitment to sustainability by reducing our energy footprint.”