London City Airport battles queues with facial recognition system

Human Recognition Systems announced that London City Airport is the seventh top ten UK airport to deploy a product from the MFlow suite. London City has chosen MFlow Journey for passenger queue measurement replacing its existing Bluetooth measurement technology. MFlow improves the passenger experience as it predicts, detects, measures, analyses and facilitates the high volume of people flowing through the airport.

Using non-invasive facial recognition technology MFlow Journey helps address the continuous challenges faced by airports in measuring, understanding and managing passenger queues and bottlenecks. Knowing how long the queues are and the time a passenger is taking helps the operations team to manage their staff levels more effectively, to increase passengers’ time in retail environments and dwell areas and as a result, improve the passenger experience.
We have been impressed by Human Recognition Systems’ speed in working with us to deploy their innovative technology within two weeks, solving a pressing problem that challenges our industry on a daily basis,” said Melanie Burnley, Director of Terminal Services at London City Airport.
MFlow Journey provides a great dashboard for the operations team and easily shows us the length of time a passenger takes through the airport, we also receive early warning emails real time so we can take action as needed. We have tried to measure queues before using bluetooth technology and were never satisfied with the results and we were unable to measure the same volume of passengers as we can with MFlow Journey
MFlow Journey went live at City Airport November 2011.
When it comes to measuring real-time journeys and queues at various points within the airport, MFlow Journey is significantly more advanced and effective than its competition and this has been proven at London City where we have consistently measured over 40% of all passengers journeys”,  said Jim Slevin, aviation business unit manager for HRS.
Bluetooth queue measurement relies on passengers having their phones and Bluetooth switched on. Research has found that the number of travellers who actually have Bluetooth on as they travel through the airports to be low. This means that the maximum number of passenger journeys that can be measured will always be extremely limited with Bluetooth compared to using facial recognition.We are thrilled that London City allowed us to work so closely with their team to help them solve their challenges to produce an improved passenger experience and a more effective way of managing their staff.”

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Categories: Identification

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