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Case study: Facial recognition at the World Economic Forum

by Nicola Macdonald

Event company Pylon One on using facial recognition to speed up registration at the World Economic Forum in Davos. 

The brief

Provide agency Brand Ambassadors with a registration system that allowed fast and accurate, (many of the delegates had similar sounding names) recognition of the delegates, to ensure sleek delivery of security passes to the correct person.

How it worked

The solution was to deploy DemoGraphics facial recognition technology; the client provided photos of each delegate in advance. These photos were uploaded to The DemoGraphics platform. Each individual photo was translated into a unique identifier. Images were discarded immediately so as to ensure compliance with GDPR.

Small cameras were strategically placed around the registration desk to capture the unique vectors of the delegate on arrival. DemoGraphics, then matched these vectors from the camera with the unique identifier and returned the delegates name. This ensured a fuss free, painless and extremely effective registration process.

Happy delegates, stress free brand ambassadors and more importantly, a high level of security achieved, with fast and effective delegate recognition.

The technical bit

DemoGraphics utilises existing Internet Protocol (IP) camera technology, transforming all faces detected into a unique identifier. Any/all faces captured are deleted within milliseconds with no actual faces ever being recorded or saved. DemoGraphics then processes all the vectors data in the cloud ready to report on, when required and therefore, eliminating the need for heavy infrastructure at the event location.

DemoGraphics uses a suite of various facial recognition technologies but is powered by a unique live analytics engine and associated algorithms that have been developed in house by Pylon One.


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