Fyma fits AI across London’s Olympic Park

Queen Elizabeth Olympic Park in London has partnered with artificial intelligence (AI) computer vision company Fyma to transform CCTV cameras across the 560 acre park into smart devices.

Following the 2012 London Olympics and Paralympics, the park has been converted into a business, culture, education, sports and leisure hub by the London Legacy Development Corporation (LLDC). The LLDC said it will use the new smart devices to examine “everything from trends in bicycle users and e-scooters, to the popularity of bus stops and waiting times at road junctions”.

Along the route leading to Westfield shopping centre, Fyma said it had detected more than nine million people, 1.6 million buses, 532,000 bicycles and 100,000 e-scooters during a trial of the smart devices over the period since the end of the UK’s latest national lockdown.

The Fyma AI platform is trained to never recognise or process human faces, thereby avoiding any risk that facial data and other biometric data is processed which the company claims is achieved by blurring out human faces on images used to train the AI. The platform is the same recently used to support crowd monitoring and pedestrian flow at the Formula One Grand Prix at the the Zandvoort circuit in the Netherlands.

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Emma Frost, director of innovation, sustainability and community at LLDC, said: “As a testbed for urban innovation, we wanted to pilot new ways of using tech to help us serve the needs of the park, its residents and visitors and meet our ambitious growth and development plans.

“Our collaboration with Fyma was our first project using the latest AI computer vision platform, in a way that was easy to use, reliable and accurate, and maintained unparalleled levels of data privacy. We are keen to work in partnership with the world’s leading innovators, like Fyma, who are passionate about using technology to create better urban futures and have established Shift – the park’s inclusive innovation programme and partnership to drive this forward.”

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