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Face Recognition Technology – Complete Automation Of Security Systems

by ahsanali

Although face recognition technology has existed since the 1960s, the trends of today require the automation of security systems. This is why face recognition technology is becoming the preferred way of authentication in businesses and other financial institutions.

Face recognition technology has many uses in various organizations, with offices using it simply for authentication of employees at entry points and banks for their digital platforms. This is because it’s the safest and easiest way of authentication. When other security measures such as passwords and PINs are forgotten and often hacked, face recognition continues to provide secure authentication.

How Does Facial Recognition Work?

The facial recognition technology of today uses biometrics and AI technology to detect and verify the unique characteristics of a face. Face recognition technology and the incorporated algorithms allow the cross-matching of captured details from the face with the photo of the person on their identity documents.

Using this method, facial recognition replaces the old methods of manual identity screening and the need to carry identity documents. This makes it very popular among organizations because they are provided with an efficient means of authentication. Face recognition technology helps secure business operations by filtering out those who steal others’ identities in order to benefit themselves. 

With digital platforms comes the risk of online identity fraud because faking identity in this case is easier. However, face recognition technology has helped overcome these kinds of crimes with the use of advanced biometrics.

As part of KYC (know your customer) processes implemented in business, face recognition technology allows online customer authentication. This process involves the person showing both their face and their identity document to the camera simultaneously. 

Face verification technology automates the security systems through a complex process incorporating AI and various technologies. 

  • Face detection

The initial process is face detection, in which the person’s face is detected using biometrics and matched with their ID document.

  • Liveness detection

Since fraudsters are becoming smarter, face detection alone would not be enough. Liveness detection is a technology that detects unique gestures and motions in the face. Liveness detection helps in determining the difference between a live person in front of the camera and a tampered image or video, hence making it impossible for fraudsters to manipulate the system.

  • 3D depth perception

In addition to liveness detection, 3D depth perception takes face recognition technology to the next level. It completely eradicates the possibility of criminals using photoshop and deep fake software to fake someone’s identity. 3D depth perception makes calculations on data collected from contours and edges of the face and provides accurate verification.

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Uses of Face Verification

Face recognition technology is assumed to be inefficient when it comes to the verification of individuals from different ethnicities. Artificial intelligence systems use algorithms and previously saved information to keep learning and become better with time. As face recognition technology is now used all over the world, it’s becoming efficient with every passing day.

Face recognition technology also finds uses in the travel industry, with airports implementing it for secure passenger verification. This is because there is a lot of crime associated with airports such as money laundering and drug trafficking. Face recognition not only prevents these crimes but also provides passengers an easy and efficient way to get through the verification process. The use of documents for manual verification is now being replaced by face verification technology.

Businesses also use face recognition technology to secure the transactions and operations for their customers. Also, mobile phones use face recognition technology for unlocking and other secure processes. The digital platforms of e-commerce and fintech companies use this technology to secure the online environment, hence gaining the trust of their customers. Apart from these, police departments use face recognition technology to identify criminals.

Threats To Security In Businesses

There are some regulatory authorities that do not allow the use of face recognition technology. Businesses in these situations are at constant risk of identity fraud and the resulting crimes. The major concern is the security of customers’ information. It’s a tricky business to stay updated and know what the fraudsters might come up with.  Read more about Hike Messenger for Pc

A scam called credential stuffing is used to gain unauthorized access to business accounts by breaching data. Also, replay attack scam involves the fraudster showing the fake ID document repeatedly in order to fool the authorities.

Final Words

To wrap it up, businesses converting to digital platforms face an increasing need for online security measures, and no other technology provides better authentication than face recognition technology. It gives them the tool for providing secure experiences to their customers, while having the convenience of an accurate and time efficient security solution.

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