Face Recognition Technology: The Better Future To Combat Frauds

People are always very perceptive when talking about Artificial Intelligence and have huge opinions about what it can bring for us in the future. The present world is suffering from a global pandemic and shifting towards an online future. And with digitalization, online frauds always come for free. To stand in line with these modern demands, we need a solution that is fast, secure, adaptable, and practical. One good answer to these modern queries is a face verification solution. From enhancing the security of the KYC, boosting the onboarding process, and preventing online frauds and scams, face recognition technology can be used everywhere. Adding Face Recognition technology is a beneficial approach in launching safe checks against fraudsters.

Is Deceiving A Computer Easy?

People may think that fooling a computer is easy. Especially in face recognition technology, a person can hold a picture, wear makeup and use a mask to fool the computer. I can pick where this is coming from. 

In sci-fi movies, we mostly see a geeky guy, wearing a black hoodie, coding on the black screen of his fancy computer, constantly trying to hack an organization, and exclaiming, “hurrah, I finally got into the system!”. The real-life scenario is far more complex than that. First, in real life people aren’t hacking with HTML, the fact you mostly have noticed in many action movies, second, hacking isn’t fancy.

It’s not that fast typing race you see in those movies. So be no fool! The AI power we have at the current moment is far better than what it has been before and it is way more difficult to deceive a computer in reality than what they show in those action movies. Because the field of AI is constantly in change, the control of Artificial Intelligence in security departments is no joke now. Data scientists and cybersecurity experts are always in a continuous struggle to provide control against the forging attempts and enhance the privacy aspects of the system. 

Facial Verification: A convenience in the airports

Face verification can be very beneficial in the airline industry. Airports have always been a target of cyber attacks and many such incidents have been record already. The addition of face recognition technology on login credentials can provide access to only authorized people.Block the attackers with harmful motives. Moreover, passengers have to stand in long lines in airports to get their check-in process done. Adding a face verification solution can speed up the customer onboarding process in airports.

Facial Recognition Benefits KYC

KYC, short-termed for Know Your Customer, is not something we can easily neglect when laying the foundation of an organization. The reputation of an organization relies solely upon its customers because the whole system is run through them. If the clients joining are fraudsters, then there isn’t much hope that that organization will flourish properly.

read more: googelecom

These fake customers can come with an ulterior motive that can resultantly harm the organization, for example. A customer opening an account in a bank for money laundering. So to ensure the credibility of the users, we need a mechanism where we can validate the identities of our customers and ensure that they are what they claim.

Online Face Verification Can Prevent Cheating In Online Classes

Pandemic resulted in the disaster of our education system. Since students cannot attend the classrooms physically, online classes are introduce. What mostly happens in online exams is that the real student pays the unrolled people to access the link and take the exam under their names. This is cheating and most of the time, teachers aren’t even aware of it. If we can introduce a system where students have to verify their identities before taking an exam or joining a class. Then the educational institutes can help control these forms of cheating and other online class trolling events attempted by students for the sake of fun.

How Does Face Recognition Really Work? 

The facial recognition machine learning verifies and confirms the identity of the individual. It maps the face of the person and captures his features with 3D mapping. Furthermore, it evaluates the skin texture and the depth of the features of the person. The addition of liveness detection of the individual defies all the spoofing attempts. The scan facial feature of the user is then compared against the official picture attached with the authentic government documents i.e. identity cards. The system gives results based on the accuracy output generated by the comparison of these two pictures.

Leave a Reply