{"id":5200,"date":"2017-06-09T07:52:56","date_gmt":"2017-06-09T14:52:56","guid":{"rendered":"https:\/\/www.privateinternetaccess.com\/blog\/?p=5200"},"modified":"2021-07-30T04:50:50","modified_gmt":"2021-07-30T11:50:50","slug":"uk-police-arrest-man-picked-crowd-real-time-automatic-facial-recognition-system","status":"publish","type":"post","link":"https:\/\/www.privateinternetaccess.com\/blog\/uk-police-arrest-man-picked-crowd-real-time-automatic-facial-recognition-system\/","title":{"rendered":"UK police arrest man picked out from the crowd in real time by automatic facial recognition system"},"content":{"rendered":"

An automatic facial scanning system has been used in Wales to spot a man wanted by the UK police<\/a>, who was then arrested. Believed to be the first of its kind in the country, the arrest follows an earlier announcement by the South Wales police force that that it would be introducing NEC\u2019s NeoFace Watch<\/a> automatic facial recognition system. Cameras are mounted on the roof of a police vehicle<\/a> to allow surrounding crowds to be scanned for suspects in real time:<\/p>\n

\n

\u201cThis facial recognition technology will enable us to search, scan and monitor images and video of suspects against offender databases, leading to the faster and more accurate identification of persons of interest. The technology can also enhance our existing CCTV network in the future by extracting faces in real time and instantaneously matching them against a watch list of individuals, including missing people. We are very cognisant of concerns about privacy and we are building in checks and balances into our methodology to reassure the public that the approach we take is justified and proportionate.\u201d<\/p>\n<\/blockquote>\n

The UK is famous for having a very high number of CCTV cameras. At the beginning of 2015, there were six million of them<\/a>, in a country whose population is 65 million \u2013 that is, one surveillance camera for every 10 people. So it\u2019s no surprise the UK police are keen to harness automatic facial recognition systems to spot people they are seeking. An earlier trial of large-scale facial recognition took place during a music festival in 2015, when 100,000 visitors were scanned<\/a>. Something similar<\/a> had been carried out by the Boston police at a local music festival in the wake of the 2013 Boston marathon bombing.<\/p>\n

The UK police are rolling out facial recognition to other surveillance systems. For example, the license plate of every car driving into London has been recorded and stored for some time. But the same cameras also capture images of the drivers, so automatic facial recognition allows the identities of many entering the city<\/a> to be established.<\/p>\n

One reason why the UK police are actively exploring large-scale facial recognition systems is that they have a huge database of images to draw on. In July 2016, there were 19 million images in its \u201ccustody images\u201d store \u2013 that is, people they have arrested or questioned \u2013 of which 16 million are already included in its facial recognition system.<\/a><\/p>\n

It\u2019s not just the police that are turning to such technology. A couple of years ago, the BBC reported on how a commercial CCTV system was being extended to include facial recognition to spot known shoplifters<\/a>:<\/p>\n

\n

\u201cUntil now, Facewatch has provided local groups of businesses with a way to share their CCTV images of shoplifters and other potential offenders.<\/p>\n

It is now giving shops the ability to generate alerts if a face recognition system matches individuals in the shared pictures to customers in their stores\u201d<\/p>\n<\/blockquote>\n

Although little remarked upon, the use of this technology seems to be widespread: a 2015 survey of 150 retail executives suggested that a quarter of all British shops use facial recognition systems<\/a> in this way.<\/p>\n

Perhaps the most serious threat to privacy from automatic facial recognition comes from the fact that people are taking and sharing so many images of themselves that it is easy to acquire them to create vast databases. Thanks to Edward Snowden, we know that the NSA has been doing that<\/a> for a while, as the New York Times reported in 2014:<\/p>\n

\n

\u201cThe agency intercepts \u201cmillions of images per day\u201d \u2014 including about 55,000 \u201cfacial recognition quality images\u201d \u2014 which translate into \u201ctremendous untapped potential,\u201d according to 2011 documents obtained from the former agency contractor Edward J. Snowden. While once focused on written and oral communications, the N.S.A. now considers facial images, fingerprints and other identifiers just as important to its mission of tracking suspected terrorists and other intelligence targets, the documents show.<\/p>\n

\u201cIt\u2019s not just the traditional communications we\u2019re after: It\u2019s taking a full-arsenal approach that digitally exploits the clues a target leaves behind in their regular activities on the net to compile biographic and biometric information\u201d that can help \u201cimplement precision targeting,\u201d noted a 2010 document.\u201d\u00a0<\/span><\/p>\n<\/blockquote>\n

Other Snowden documents published by the Guardian show that the UK\u2019s GCHQ is also harvesting images of people<\/a>, this time derived from webcam traffic:<\/p>\n

\n

\u201cGCHQ files dating between 2008 and 2010 explicitly state that a surveillance program codenamed Optic Nerve collected still images of Yahoo webcam chats in bulk and saved them to agency databases, regardless of whether individual users were an intelligence target or not.<\/p>\n

In one six-month period in 2008 alone, the agency collected webcam imagery \u2013 including substantial quantities of sexually explicit communications \u2013 from more than 1.8 million Yahoo user accounts globally.\u201d<\/p>\n<\/blockquote>\n

It\u2019s not even necessary to resort to these clandestine methods in order to create huge databases \u2013 an option only available to national spy services with plentiful resources and extensive surveillance capabilities. Thanks to the widespread use of social media, there are now huge public stores of images and associated identities that can be harvested for automatic facial recognition services. Rick Falkvinge wrote<\/a> about one last year called FindFace<\/a>, later described by The Guardian<\/a> as follows:<\/p>\n

\n

\u201cIt works by comparing photographs to profile pictures on Vkontakte, a social network popular in Russia and the former Soviet Union, with more than 200 million accounts. In future, the designers imagine a world where people walking past you on the street could find your social network profile by sneaking a photograph of you, and shops, advertisers and the police could pick your face out of crowds and track you down via social networks.\u201d<\/p>\n<\/blockquote>\n

As technology advances, and people post ever-more pictures of themselves and their friends online, so the success rate of being able to identify correctly a random face in the crowd will increase. As Rick rightly noted, four years ago, we are fast approaching the point where outside anonymity no longer exists<\/a>. By then, arrests as a result of automatic face recognition systems scanning CCTV feeds everywhere to pick out faces in the crowd will have become routine, as will \u201cpredictive policing\u201d that aims to spot people before they commit a crime<\/a>.<\/p>\n

Featured image by South Wales Police<\/a>.<\/p>\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

An automatic facial scanning system has been used in Wales to spot a man wanted by the UK police, who was then arrested. Believed to be the first of its kind in the country, the arrest follows an earlier announcement by the South Wales police force that that it would be introducing NEC\u2019s NeoFace Watch … Continue reading “UK police arrest man picked out from the crowd in real time by automatic facial recognition system”<\/span><\/a><\/p>\n","protected":false},"author":20,"featured_media":5201,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_stopmodifiedupdate":true,"_modified_date":"","footnotes":""},"categories":[12,1,130,1941],"tags":[535,536,127,264,537],"class_list":["post-5200","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-security","category-news","category-governments","category-surveillance","tag-cctv","tag-facial-recognition","tag-nsa","tag-police","tag-snowden"],"yoast_head":"\nUK police arrest man picked out from the crowd in real time by automatic facial recognition system<\/title>\n<meta name=\"description\" content=\"An automatic facial scanning system has been used in Wales to spot a man wanted by the UK police, who was then arrested. 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