
Eight arrested over conspiracy to destroy Ulez cameras
A co-ordinated operation conducted by the force has seen six men and two women arrested on suspicion of conspiracy to commit criminal damage.
One of the men is also alleged to have been involved in threatening and harassing the team sent to repair a damaged camera.
The Met made the arrests at addresses in London, Windsor and on the Isle of Sheppey in the early hours of Wednesday.
The London arrests took place in Uxbridge, Ickenham, Northwood, Sutton and Eltham.
Those arrested remain in custody.
Searches are ongoing at the addresses but officers say they have already recovered items related to the alleged offending.
Superintendent Paul Thomas, of the Met's Roads and Transport Policing Command, said: 'There is a big difference between lawful protest and plotting to destroy or seriously damage property.
'Some may think of this sort of behaviour as a victimless crime, but when cameras are damaged or destroyed it creates dangerous hazards, risking collisions on the road in addition to disruption for motorists and residents.
'We take these offences very seriously and officers will continue working closely with Transport for London and other partners to identify and build a case against those responsible.
'Today's arrests are a significant development in what has been a long and complex investigation that is not yet over.
'I would appeal to anyone who has information about plans to target Ulez cameras to come forward.'
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Daily Mail
28 minutes ago
- Daily Mail
How watching facial recognition cameras help police pluck wanted criminals off the street made me realise only those with something to hide need fear them, writes DAVID JONES
Residents of London will doubtless be disturbed to learn that, as of last Tuesday, 11,000 wanted serious criminals were walking free on the capital's streets because they hadn't been tracked down and arrested. Rapists and robbers, ruthless gang members and drug dealers. Augmenting that alarming statistic, also at liberty are 5,000 convicted criminals considered sufficiently dangerous to have had their movements restricted by the courts: paedophiles, serial stalkers and the like. An unusually tall beanpole of a man who appears to be in his late 20s or early 30s, Ahmed (whose name has been changed) is in the former category. Legalities prevent me from revealing his alleged offences, but were he to be tried and found guilty he would face a lengthy jail sentence. 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In policing, as in other walks of life, cutting-edge technology is increasingly replacing the need for plodding detective work, and as he sauntered along Uxbridge Road, he had been photographed by live facial recognition (LFR) cameras mounted on the pavement. Almost instantly, his picture was fed into a computer whose biometric software measured his facial features – eyes, nose, mouth – and positively matched his image with one of the above-mentioned 11,000 alleged criminals, named on a 'watchlist' drawn up that day by the Met. This triggered a bleep on the mobile phones of the team of ten officers stationed on the street, ready to make arrests. Meanwhile, in a nearby police van, a surveillance expert was assessing Ahmed's profile – name, date of birth, alleged offences, whether he posed a potential danger – and radioing this information to the team. She also watched him on a screen so she could direct the officers swiftly to him. It was an undeniably slick operation. According to one of the LFR team, on average it takes the Met 17.5 officer hours to track down a suspect by 'old school' policing methods; that is, of course, if they are caught at all. Yet, as I saw, Ahmed, a potential danger to the public, had been identified and held in a matter of seconds. First introduced experimentally in policing almost a decade ago, LFR is being relied on increasingly, not only by the Met, which has pioneered it along with South Wales Police, but by a mounting number of regional forces across the country. In addition to the streets, it has been deployed at major sporting events such as Six Nations rugby, football matches and F1 races, at pop concerts and even in busy seaside resorts, serving both as a deterrent to crime and a means of identifying and arresting culprits. 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However, since it means thousands of ordinary citizens are being filmed without their knowledge as they go about their daily lives, and having their photos run through databases, there are inevitably strong concerns in some quarters. The more so because, as yet, there are no specific laws or regulations governing LFR. In deciding the rights and wrongs of its usage, the courts must turn to human rights, privacy and equality legislation. Decrying it as an intrusion on civil liberties that will have a 'chilling' and dystopian effect on society, pressure groups such as Big Brother Watch and Liberty are calling for an outright ban. They point to scientific studies which have shown that facial recognition technology can unfairly discriminate against black and Asian people, as well as transgender groups and even women. The reasons for this are complex, but broadly centre on algorithms which can make it more difficult for the system to distinguish between the facial features of people in those categories. In one grimly ironic case last year, Shaun Thompson, 39, a respected black community worker, was wrongly flagged up as a criminal after being filmed at London Bridge station. Distressingly held for 30 minutes under threat of arrest, Mr Thompson was actually returning home from Croydon after a voluntary anti-knife crime shift. He is now taking legal action. However, the likely accuracy of a LFR match is measured by a score, and independent experts say such mistakes are far more likely to occur when the threshold is set at, or below, 0.600 to include a greater number of people. Mindful of this, the Met uses a threshold of 0.640, which makes such mistakes rare. So much so that, as of last Tuesday, they say, only seven people had been misidentified this year. Against this, 1,042 alerts had proved to be accurate. Moreover, proponents counterbalance Mr Thompson's case with another, which shows how facial recognition cameras can be crucial in preventing crime as well as solving it. In May, paedophile David Cheneler, 73, who has served nine years for child-sex offences, appeared in court for breaching the conditions of an order banning him being alone with a minor. The court heard how LFR cameras filmed Cheneler walking hand-in-hand with a six-year-old girl, whom he had picked up from school 'as a favour' after befriending her mother. When police stopped him, they were a long way from her home and he was hiding a penknife in his belt, but he claimed they had mistakenly 'caught the wrong bus'. For breaching the order, he was jailed for two years. But among dozens of MPs and peers – from across the political spectrum – there remains much scepticism. Appalled to learn that Essex Police used it to monitor spectators at last year's Clacton Airshow, Nigel Farage criticised the force, remarking: 'I don't want to live in China. I don't want to be tracked wherever I go.' Other critics range from former Tory Cabinet minister David Davis to Lib Dem leader Sir Ed Davey and socialist Diane Abbott. Yet Shadow Home Secretary Chris Philp – the MP for Croydon – is very much in favour. Labour's policing minister Dame Diana Johnson, for her part, has launched a consultation exercise and is expected to set out government plans for the cameras' use later this year. It was against this background, and one presumes in the interest of transparency, that the Met allowed me to observe LFR in action last Tuesday afternoon. I expected the cameras to be hidden from public view, but found them mounted on unmissably tall tripods perched on the pavement. As for the van containing all the gadgetry, that was pillar-box red and also stood out a mile, parked outside a busy Costa Coffee outlet on Uxbridge Road. Wouldn't a touch of subterfuge have been more advisable, given that passing criminals might just walk the other way, sharpish? 'People always ask me why we don't do this more covertly, but we can't,' replied the LFR team leader, a sergeant dressed down in shorts and shades. 'It would cause ructions. We've got so many people criticising this. They think we're up to all sorts of things. We operate in a way that causes minimum suspicion.' The Met has two LFR teams, deployed four times a week to hotspots identified from crime data. The rough average is five arrests per five-hour deployment. When the cameras start rolling, they capture the facial features of everyone who comes within their range – about 20 metres. These are then run through the watchlist. After the biometric software measures 28 facial features, including the head size, it converts this into digital data, like a human bar-code. Anyone whose features match those of someone on the watchlist to the 'threshold' degree of probability sets off the phone alert and is stopped. Traditional policing kicks in, and a decision must be made on whether to arrest them or simply make checks and send them on their way. Fugitives trying to evade detection by concealing their faces or wearing disguises should be warned. Recent experiments have proved the latest software capable of matching the facial characteristics of people in surgical masks. It can also link people with photographs taken decades ago, so the appearance of wrinkles and grey hair is no protection. (When I was invited to test the system by walking past the camera, it instantly threw up a rock-solid positive match with the grainy press picture I provided). 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Daily Mirror
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Daily Mail
an hour ago
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