News reports and opinion columns about face recognition are appearing everyday. To some of us, the term sounds overly intrusive. It even makes people shrink back into their seats or shake their head in disgust, picturing a present-day dystopia. Yet to others, face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crime.

What are the facts about face recognition? Which side is right? Well, there is no definitive answer because, as with all powerful tools, it all depends on who uses it. Face recognition can, in fact, be used in an immoral or controversial manner. But, it can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence. 

Concerns of facial recognition

With the increased facial recognition applications, people’s concerns over the technology continuously appear throughout news channels and social media. Some of the concerns include:

  • Privacy: Alex Perry of Mashable sums up his and most other peoples’ privacy concerns with face recognition technology when he wrote, “The first and most obvious reason why people are unhappy about facial recognition is that it's unpleasant by nature. Increasing government surveillance has been a hot-button issue for many, many years, and tech like Amazon's Rekognition software is only making the dystopian future feel even more real”.
  • Accuracy: People are worried about the possibilities of inaccurate face detection, which could result in wrongful identification or criminalisation.
  • Awareness: Face recognition software allows the user to upload a picture of anyone, regardless of whether that person knows of it. An article posted on The Conversation states, “There is a lack of detailed and specific information as to how facial recognition is actually used. This means that we are not given the opportunity to consent to the recording, analysing and storing of our images in databases. By denying us the opportunity to consent, we are denied choice and control over the use of our own images

Debunking concerns 

The concerns with privacy, accuracy, and awareness are all legitimate and valid concerns. However, let us look at the facts and examine the reasons why face recognition, like any other technology, can be responsibly used:

  • Privacy concerns: Unlike the fictional dystopian future where every action, even in one’s own home, is monitored by a centralised authority, the reality is that face recognition technology only helps the security guard monitoring public locations where security cameras are installed. There is fundamentally no difference between a human security guard at the door and an AI-based software in terms of recognising people on watchlist and not recognising those who are not. The only difference is that the AI-based face recognition software can do so at a higher speed and without fatigue. Face recognition software only recognises faces that the user has put in the system, which is not every person on the planet, nor could it ever be.
  • Accuracy concerns: It is true that first-generation face recognition systems have a large margin for error according to studies in 2014. However, as of 2020, the best face recognition systems are now around 99.8% accurate. New AI models are continuously being trained with larger, more relevant, more diverse and less biased datasets. The error margin found in face recognition software today is comparable to that of a person, and it will continue to decrease as we better understand the limitations, train increasingly better AI and deploy AI in more suitable settings.
  • Awareness concerns: While not entirely comforting, the fact is that we are often being watched one way or another on a security camera. Informa showed that in 2014, 245 million cameras were active worldwide, this number jumped to 656 million in 2018 and is projected to nearly double in 2021. Security camera systems, like security guards, are local business and government’s precaution measures to minimise incidents such as shoplifting, car thefts, vandalism and violence. In other words, visitors to locations with security systems have tacitly agreed to the monitoring in exchange for using the service provided by those locations in safety, and visitors are indeed aware of the existence of security cameras. Face recognition software is only another layer of security, and anyone who is not a security threat is unlikely to be registered in the system without explicit consent.

The benefits

In August 2019, the NYPD used face recognition software to catch a rapist within 24 hours after the incident occurred. In April 2019, the Sichuan Provincial Public Security Department in China, found a 13-year-old girl using face recognition technology. The girl had gone missing in 2009, persuading many people that she would never be found again.

Face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crimeIn the UK, the face recognition system helps Welsh police forces with the detection and prevention of crime. "For police it can help facilitate the identification process and it can reduce it to minutes and seconds," says Alexeis Garcia-Perez, a researcher on cybersecurity management at Coventry University. "They can identify someone in a short amount of time and in doing that they can minimise false arrests and other issues that the public will not see in a very positive way". In fact, nearly 60% Americans polled in 2019 accept the use of face recognition by law enforcement to enhance public safety. Forbes magazine states that “When people know they are being watched, they are less likely to commit crimes so the possibility of facial recognition technology being used could deter crime”.

Saving time 

One thing that all AI functions have been proven to achieve better results than manual security is speed. NBC News writes, “Nearly instantaneously, the program gives a list of potential matches loaded with information that can help him confirm the identity of the people he’s stopped - and whether they have any outstanding warrants. Previously, he’d have to let the person go or bring them in to be fingerprinted”.

Facial recognition can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence With AI, instead of spending hours or days to sift through terabytes of video data, the security staff can locate a suspect within seconds. This time-saving benefit is essential to the overall security of any institution, for in most security threat situations, time is of the utmost importance. Another way in which the technology saves time is its ability to enable employees (but not visitors) to open doors to their office in real time with no badge, alleviating the bottleneck of forgotten badge, keycode or password.

Saving money

A truly high-performance AI software helps save money in many ways. First, if the face recognition software works with your pre-existing camera system, there is no need to replace cameras, hence saving cost on infrastructure. Second, AI alleviates much of the required manual security monitoring 24/7, as the technology will detect people of interest and automatically and timely alert the authorities. Third, by enhancing access authentication, employees save time and can maximise productivity in more important processes.

The takeaway

AI-enabled face recognition technology has a lot of benefits if used correctly. Can it be abused? Yes, like all tools that mankind has made from antiquity. Should it be deployed? The evidence indicates that the many benefits of this complex feature outweigh the small chance for abuse of power. It is not only a step in the right direction for the security industry but also for the overall impact on daily lives. It helps to make the world a safer place. 

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Author profile

Jacob Gannon Marketing Specialist, IronYun

Jacob Gannon is a marketing specialist at IronYun, a next-generation artificial intelligence video surveillance software company. In his time there, he has successfully helped organise and launch several high-level marketing projects. Jacob received his bachelor’s degree in Communication from the prestigious University of Connecticut in 2020, where he learned the many skills required to strategically and effectively communicate through different platforms in business and marketing.

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