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SeeQuestor was announced as the winner of the 12th annual ADS Security Innovation Award by Home Office Minister for Security Ben Wallace, at a ceremony in Farnborough during the invite-only Security and Policing annual exhibition.
The company licenses Queen Mary University of London (QMUL) spin-out Vision Semantics’ patented computer vision software to produce intelligent video analytics.
SeeQuestor scans hours of CCTV footage and can identify critical leads for criminal investigations, reducing man hours viewing footage. The software was developed with input from British police who review video; it can deliver results up to 100 times faster than other methods, QMUL says.
Shaogang Gong, Chief Scientist at Vision Semantics Ltd and Professor of Visual Computation at QMUL, said: “We are delighted by this news. In winning this award in a very competitive market, the commercial system built on Vision Semantics’ patented video analytics technology beats some world-leading products including QinetiQ’s latest SPO-NX system built for the US Transport Security Administration. This consolidates the rapidly gained reputation of this video analytics technology among end-users in the US, UK, Australia and India. We are very excited by the future prospects.”
SeeQuestor detects faces, bodies, clothing and movement as well as providing geo-location information on a dynamic map, and a motion detection filter.
Tristram Riley-Smith, Chairman of SeeQuestor, said: “SeeQuestor was created to answer a critical need of law enforcement agencies: to improve the costly and time-consuming process of reviewing video footage. We deliver radically faster video intelligence. Our platform is built on cutting-edge British research, and we will continue to push the boundaries of what is possible through the use of machine learning to develop new analytical tools.”
The annual ADS Security Innovation Award honours innovation across the UK’s security industry.
Vision Semantics (VSL) is based on the research of QMUL’s School of Electronic Engineering and Computer Science Computer Vision Group.
Runner-up was defence and cyber product firm QinetiQ for its stand-off threat detection system: SPO-NX. Highly commended were Foster + Freeman Ltd for its fingerprint visualisation technique: fpNatural IR Fluorescent Fingerprint Powders; and Evidence Talks Ltd for its digital forensic processing tool: SPEKTOR Cascade Forensics.