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London City improves passenger queue measurement with facial recognition technology

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London City improves passenger queue measurement with facial recognition technology

London City Airport has deployed MFlow Journey, which improves the passenger experience as it predicts, detects, measures, analyses and facilitates the high volume of people flowing through the airport.

London City Airport has deployed Human Recognition Systems’ MFlow Journey technology 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.

MFlow Journey uses non-invasive facial recognition technology to measure, understand and manage passenger queues and bottlenecks. This helps the operations team manage staff levels more effectively, increasing the time passengers spend in retail and dwell areas.

Melanie Burnley, Director of Terminal Services at London City Airport, said: “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.”

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