Metropolitan Police's facial recognition technology 98% inaccurate, figures show

The Independent - Tech

Facial recognition software used by the UK's biggest police force has returned false positives in more than 98 per cent of alerts generated, The Independent can reveal, with the country's biometrics regulator calling it "not yet fit for use". The Metropolitan Police's system has produced 104 alerts of which only two were later confirmed to be positive matches, a freedom of information request showed. In its response the force said it did not consider the inaccurate matches "false positives" because alerts were checked a second time after they occurred. Facial recognition technology scans people in a video feed and compares their images to pictures stored in a reference library or watch list. It has been used at large events like the Notting Hill Carnival and a Six Nations Rugby match.


Inside the urgent battle to stop UK police using facial recognition

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The last day of January 2019 was sunny, yet bitterly cold in Romford, east London. Shoppers scurrying from retailer to retailer wrapped themselves in winter coats, scarves and hats. The temperature never rose above three degrees Celsius. For police officers positioned next to an inconspicuous blue van, just metres from Romford's Overground station, one man stood out among the thin winter crowds. The man, wearing a beige jacket and blue cap, had pulled his jacket over his face as he moved in the direction of the police officers.


Police could face legal action over 'authoritarian' facial recognition cameras

Daily Mail - Science & tech

Facial recognition technology used by the UK police is making thousands of mistakes - and now there could be legal repercussions. Civil liberties group, Big Brother Watch, has teamed up with Baroness Jenny Jones to ask the government and the Met to stop using the technology. They claim the use of facial recognition has proven to be'dangerously authoritarian', inaccurate and a breach if rights protecting privacy and freedom of expression. If their request is rejected, the group says it will take the case to court in what will be the first legal challenge of its kind. South Wales Police, London's Met and Leicestershire are all trialling automated facial recognition systems in public places to identify wanted criminals.


South Wales police to use facial recognition apps on phones

The Guardian

South Wales police are to have a facial recognition app installed on their phones to identify suspects without having to take them to a police station. The force intends to test the app over the next three months with 50 officers using the technology to confirm the names of people of interest who are stopped on routine patrols. The app will allow officers to run a snapshot of a person through a database of suspects called a watchlist, and find potential matches even if the individual gives false or misleading information. The move is the latest sign that police forces in Britain are eager to embrace the controversial technology which has been criticised for infringing privacy and increasing state powers of surveillance. Liberty, the campaign group, called the announcement "chilling", adding that it was "shameful" that South Wales police had chosen to press ahead with handheld facial recognition systems even as it faced a court challenge over the technology.


Facial Recognition Used by Wales Police Has 90 Percent False Positive Rate

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Thousands of attendees of the 2017 Champions League final in Cardiff, Wales were mistakenly identified as potential criminals by facial recognition technology used by local law enforcement. According to the Guardian, the South Wales police scanned the crowd of more than 170,000 people who traveled to the nation's capital for the soccer match between Real Madrid and Juventus. The cameras identified 2,470 people as criminals. Having that many potential lawbreakers in attendance might make sense if the event was, say, a convict convention, but seems pretty high for a soccer match. As it turned out, the cameras were a little overly-aggressive in trying to spot some bad guys.