Enabling Airport-wide Flow Management with Veovo 3D Sensors
Ensuring that all airport processes work smoothly together, to ensure optimal passenger-processing, is a challenge that can be solved using the right combination of technologies.
Ensuring that all airport processes work smoothly together, to ensure optimal passenger-processing, is a challenge that can be solved using the right combination of technologies.
Following great queue management results in Birmingham Airport´s immigration halls, the airport has decided to expand Veovo’s solution to cover all processes, throughout the entire
As airports grapple with rising numbers of passengers, crowded check-in halls are becoming more commonplace, prompting operators to rethink their approach to space, resources and
JFK, Newark Liberty, LaGuardia and Stewart International airports can now access real-time TSA and taxi wait times on the Port Authority’s respective airport websites and
With a five-fold growth in just nine years and 10 million passengers predicted this year, Iceland’s Keflavík International Airport is one of Europe’s fastest-growing tourist
Since implementing the Veovo Queue Management solution, Manchester Airport has dramatically improved the airport’s real-time operational decision-making, post-performance analysis, and capacity planning data analysis capabilities.
Scotland’s leading airport has turned to Veovo’s technology to gather data about queues and passenger flow. The information enables the airport to streamline operations at
Queenstown Airport extends its relationship with Veovo by rolling out the tech company’s Queue Management software. With a 33% increase in passenger numbers since 2015,
Cincinnati Airport is soaring into the record books. Ranked one of the fastest-growing U.S. airport, it’s also the first to implement Veovo’s Passenger Prediction technology
Bergen Airport follows the example of its Avinor sister airports Oslo and Stavanger, by implementing Passenger Predictability management technology to eliminate wait time guesswork, optimise resource
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