Facial recognition technology is becoming increasingly prevalent in our everyday lives, with many of us using the technology every time we use our face to unlock our smartphone – a study found that we use our phones around 52 times per day. Whilst it has transformed how we access our phones, facial recognition technology is also being used in a number of industries outside of tech to improve the service that companies provide customers with. If you're a company that isn't adopting the use of facial recognition, it's time to start researching into it before you get left behind. Devices recognise their users by scanning facial features and shapes – specific contours and individual unique features help the likes of smartphones recognise users and open certain settings up on phones. For example, many banking apps now allow users to login to their internet banking through the use of their face – this, in some ways, is far safer than the previous ways of using online banking which would either include an individual code or a series of questions to answer that only the user would know.
Facial recognition technology has dominated discussions in technology circles for some time now. Faced with increased surveillance in public spaces, it has become imperative for stakeholders to have some input on future deployments of these novel technologies. More importantly, the general public should have some degree of understanding of facial recognition and how it's being used today. Facial recognition is a term used to refer to technologies used to analyze and recognize faces from video recordings and still images. Advancements in image processing and AI have enabled today's computer to read even the subtlest details in the human face like eyelashes to differentiate people.
Facial recognition is making inroads into more aspects of our daily lives – and a majority of Americans seem to be okay with that. As a survey by the Center for Data Innovation shows, most Americans agree with the use of the technology in a security context. Less people would like to see facial recognition used in stores. Still, 49.1 percent agreed to its use if it was proving beneficial to catching shoplifters. Only 44.9 percent of respondents said they were okay with a deregulated use of the technology if it wasn't tied to a specific security scenario.
Recently San Francisco passed – in an 8-to-1 vote -- a ban on local agencies to use facial recognition technologies. The move is likely not to be a one-off either. Other local governments are exploring similar prohibitions, so as to deal with the potential Orwellian risks that the technology may harm people's privacy. "In the mad dash towards AI and analytics, we often turn a blind eye to their long-range societal implications which can lead to startling conclusions," said Kon Leong, who is the CEO of ZL Technologies. Yet some tech companies are getting proactive.
The researchers have shown how it's possible to perturb facial recognition with patterned eyeglass frames. Researchers have developed patterned eyeglass frames that can trick facial-recognition algorithms into seeing someone else's face. The printed frames allowed three researchers from Carnegie Mellon to successfully dodge a facial-recognition system based on machine-learning 80 percent of the time. Using certain variants of the frames, a white male was also able to fool the algorithm into mistaking him for movie actress Milla Jovovich, while a South-Asian female tricked it into seeing a Middle Eastern male. A look at some of the best IoT and smart city projects which aim to make the lives of citizens better.