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As surveillance and facial recognition technologies have become more popular across the globe, some authorities have felt the need to legislate.
San Francisco legislators recently voted to ban the public use of facial recognition technology. Similar steps have been taken in Oakland and Somerville, Massachusetts amid a wider national debate over online privacy.1
While there can be negative connotations surrounding the ethical nature of the technology, Newton global equities portfolio manager, Paul Markham, is more optimistic. He thinks more positive applications can found for this technology and believes it is area of rich potential for software and electronic component manufacturers.
”While there have been reports of potential abuses of facial recognition in some more authoritarian emerging market regimes, there are also some far more benign applications for this technology. “Many airports are now widely using facial recognition to speed up passport checks and some smartphone apps employ similar technology which allows users to unlock their phones via their facial image.”
At a household level Markham points to some ingenious uses for facial recognition, such as video doorbells which can scan the image of callers and match them against visitors permitted access. At a retail consumer level he also sees rich potential for this technology in creating more targeted advertising.
“In the future, electronic advertising boards and pillars could include facial and mood recognition technology or gauge the age, broad socio-economic profile or even mood of people viewing them,” he says.
“Whether the viewer is a well-dressed woman or a teenage boy wearing a hoodie, the display unit could change the adverts it shows to better suit the audience. This type of device could become a common feature in shopping malls of the future.”
The main beneficiaries of this technology, he believes, will be microchip and software manufacturers and data and internet service providers. However, he points out that facial recognition technology continues to face practical problems and potential glitches.
“The more images of a person that are gathered and stored the more accurate facial recognition systems identifying them in real life should be. That said, they are far from fool proof."
“Viewing an individual in profile can make them hard to identify and poor lighting and crowd shots can also limit the effectiveness of facial recognition systems."
“Although thermal recognition and other additional checks can help, 100% accuracy of identification with these systems is some way off. There have even been reports of identical twins using facial recognition systems to unlock each other’s smart phones."2
While Markham believes law abiding citizens have little to fear from CCTV and facial recognition technology, he also points out that while criminal detection technology may lead the way, hackers, criminals and other disruptors are rarely far behind in developing techniques and technologies to neutralize them.
Markham points to the development of devices criminals can use to mask their faces from electronic identification. Examples of this include specially designed infra-red wired glasses.
US and Chinese scientists at the University of Shanghai have also developed an ‘identity stealing’ baseball cap they claim can fool facial recognition cameras into thinking the wearer is someone else.3
Markham adds: “Facial recognition fooling technology is really just another iteration of the standard cat and mouse game played between security and hackers and criminals and the police. However fast technology moves, the ways of breaking it or hacking it are never far behind.”
In the UK, what started as a close circuit TV (CCTV) revolution in the 1990s is increasingly embracing facial recognition technologies.
In theory, these services - which are used to identify known individuals against an existing computer database - can help the police and intelligence services pinpoint known criminals, apprehend potential offenders and prevent crime.
In practice their use has proved more problematic. Fears of a ‘Big Brother’ style society with constant TV monitoring of individuals have preoccupied civil liberty groups concerned with the blanket use of CCTV ever since its introduction.
In London alone there are now over 420,000 CCTV cameras installed4 - with various plans to upgrade these for facial recognition and other uses and introduce so-called smart cameras in more public and private spaces.5
To put this into context, in 2018 New York City had around 18,000 surveillance cameras.6
Commenting on the likely future of facial recognition technology Markham says: “As the technology behind this improves we are likely to find more and more everyday uses for it. Despite some ethical concerns from civil liberties groups, governments will also probably continue to use and develop these systems, ostensibly for security purposes.
“Given the ongoing and broadly held concerns over terrorism and crime – and barring some serious backlash over the use of facial recognition systems- it is also doubtful any government would be willing to legislate in a way that would block their own ability to use it,” he concludes.
1 Boston Globe. Somerville City Council passes facial recognition ban. June 17, 2019.
2 Time. Could an 'Evil Twin' Trick Your iPhone's Facial Recognition? September 13, 2017.
3 Daily Mail. The identity-stealing baseball cap that uses infrared light to fool facial recognition cameras into thinking you're someone else. March 21, 2018.
4 Brookings. Number of CCTV cameras in 2017.
5 FT. Dragnet surveillance. August 02, 2019.
6 Security Today. New Surveillance cameras to bolster security in NYC. October 29, 2018
The technology sector involves special risks, such as the faster rate of change and obsolescence of technological advances, and has been among the most volatile sectors of the stock market.
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