British scientists have created fight sensing cameras that alerts the police much before fists start flying. The new system is reminiscent of science fiction movies such as Steven Spielberg's Minority Report, in which Tom Cruise plays a police officer in a 'pre-crime' unit which arrests criminals before they offend.
A million-pound project to develop 'smart' cameras that sense violence on the streets has been being developed by Cardiff University researchers.
Computer science and violence experts have teamed up with technology specialists from Airbus Group to unveil a system that will spot trouble brewing and guide police before anyone gets hurt.
The study will develop imaging technology which will automatically alert CCTV operators when fights are detected on city centre cameras.
Smart CCTV already exists and can count people and identifying cars. But the Cardiff project will go further by analyzing night time crowds to provide 'real time' alerts, helping to prevent serious injury and reducing costs to health services.
Professor Simon Moore from Cardiff University's Violence and Society Research Group, said "Developing 'smart' camera technology that can pinpoint violence is a really cost effective way of helping police to do their jobs. Officers can't monitor hundreds of city centre CCTV cameras all the time. By using imaging technology, officers will be alerted to violence 'hotspots' in real-time, helping to further reduce violence. It's a great way of using technology to make the streets safer for all of us."
Professor David Marshall from the University's Computer Science School added "Detecting violence from CCTV camera footage presents some interesting technical challenges due to the time of day (night time), the need to operate in all weather conditions, camera positions and recognizing people's often complex activities in such footage."
The Home Office estimates that an average violence incident costs more than £33,000 in NHS and criminal justice costs, lost working hours and the impact on victims. The project has grown out of original research work carried out by Kaelon Lloyd, a PhD student in the University's School of Computer Science and informatics.
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