Currently this AI looks at areas that may be targeted for crimes such as burglaries or joyriding, with the predicted hotspot information being sent direct to law enforcement smart phones in the field. This analytical software is being used in Glasgow, Britain’s first ‘smart city’, where Israeli company NICE Systems are running the CCTV/IPTV network analysing data from the 442 fixed HD surveillance cameras and 30 mobile units under a project called Community Safety Glasgow, apparently delivering Glasgow a more efficient traffic management system, identifying crime in the city and tracking individuals.
Whilst Glasgow City Council claim they are not currently utilising NICE System’s facial recognition capabilities, the new HD CCTV system being installed for the Future Cities Demonstrator initiative, funded by the Department of Business, Innovation and Skills via its quango the Technology Strategy Board, is still capable of tracking individuals within the city. A spokesperson from Glasgow City Council stated:
"A trial of NICE's video analytics is planned for later in the year . This involves Suspect Search which can be used to find missing children or vulnerable adults quickly, such as those with dementia, as well as tackling crime. Again it does not involve facial recognition or emotional intelligence.”
Nice Systems in Glasgow
As well as missing children and vulnerable adults presumably Suspect Search can also track suspects - the clue is in the name. No facial recognition. No surreptitiously taking and covertly using our biometrics, that’s okay then? So how does this tracking work? The software still has the same outcome as using facial biometrics - individuals can be identified, traced and tracked. According to NICE;
“Working with information about the entire body, from head to foot (clothes, accessories, skin, hair) enables faster and more accurate matches.”
Of course, because CCTV cameras are not at head height and persons of interest do not always have their face aimed at the camera, it could be the back or top of the head or the particular person could be wearing a cap, therefore analysing the whole body makes sense. Still the same outcome as using our biometrics, agencies being able to track us individually, covertly.
Moving surveillance cameras to a height that facial recognition software can operate seems to be where police agencies are moving towards. On March 9th Metropolitan Police Commissioner Sir Bernard Hogan-Howe called for surveillance cameras to be moved to head height;
“We‘ve got a strategy to encourage people to do with their cameras, is to move them down to eye level …facial recognition software has got better it means we can apply the software to the images of burglaries or robberies whatever, so we can compare those images with the images we take when we arrest people.”
Cameras previously situated out of reach to stop us from vandalising them, now appears not to be an issue. Clearly the police think we are sufficiently desensitised to them. Having cameras at head height enables facial recognition software to run behind whatever surveillance system is operating, which is precisely what West Midlands Police intend to run behind Birmingham’s HD CCTV network.
West Midlands Police have a Public Private Partnership (PPP) with multinational corporation Accenture “to revolutionise and streamline the way the force handles data, uses mobile and digital technology and interacts with social media and other organisations such as local authorities.” This includes running a facial recognition system called ‘Face in the crowd’ behind what the Association of Chief Police Officers (ACPO) call “the wealth of CCTV footage available” in Birmingham. Apparently ’Face in the Crowd’ is sold to us as a device purely for finding missing persons, much as ‘Suspect Search’ in Glasgow is primarily for missing children vulnerable adults. All for our safety of course.
Accenture also deliver facial recognition for police body worn cameras. Heading up the Accenture Police Services department is Managing Director Tim Godwin, former Deputy Commissioner of London's Metropolitan Police Service. His attitude towards this facial recognition used with police body camera is that:
“They [body cameras] are a good thing in my view, it gives you a lot of additional evidence, you have got facial recognition, you can actually link it directly to a case system so it’s really good”
How long before West Midlands Police start utilising a wider variety of Accenture’s products such as facial recognition body worn cameras? Would they tell the public if they did anyway? Maybe they would follow ACPO’s lead of using a facial recognition system since April 2014, accessing the Police National Database using 18 million of our photographs, a system that they have been developing since October 2012, and failing to inform anyone.
Quite where West Midlands Police are up to with their facial recognition technology is unclear however a Freedom of Information request to the police authority is due back from them by end March 2015.
With an ever increasing use of these technological analytical intelligences being used behind what is unchanged existing street furniture, essentially nothing outwardly changes for us. These systems are becoming more the norm, and why not if it is for the greater good as the police agencies state?
However each day they are used, they ‘learn’ more about how we behave; our mass movements as herds in cities and as individual humans. How long will it be before the systems begin predicting pre-crime in each one of us individually?
Where does the analytics stop? Will the machine scan parliament’s reams of legislation to analyse the particular crime that has been committed by an individual? Then perhaps the machine can scan court case histories, looking at the best conviction outcomes, advising police agencies specifically what crime has been committed and the optimum penalty. Could the machine ultimately analyse whether we are guilty or innocent?
These systems have the potential to create dizzying amounts of data sets about us. Being able to control our personal digital footprint is now a thing of the past as we move into an age of mass ubiquitous data harvesting.
by Pippa King
by Pippa King