Artificial intelligence has revamped face recognition technology. From auto-tagging photos on social media to track people down through street cams, facial recognition technology has come a long way. Now it has become one of the best methods to perform identity verification. Facial recognition is a system of verifying an individual through their photo or video. Nothing makes the verification process more accurate than the face verification process and facial recognition, integrated with artificial intelligence has revamped the identity verification industry. Before we dive into how to face verification works, first let’s look at the detail of what artificial intelligence is.
What is Artificial Intelligence?
Artificial intelligence is the intelligence of the machine. It is the ability of the machine to think and work like a human without constant human supervision. Artificial intelligence has halved the workload of humans by performing lengthy tasks on its own.
How artificial intelligence works is that it uses machine learning and the training of models. The machine learns through historical data and then work through the predictions and possibilities based on the pattern of previous data. Various scenarios are provided to training models to form the algorithm and then it does not require specific instructions each time, it can work on the basis of its algorithm. The best ability of AI is that even mistakes help with the training models. AI is now integrated into facial recognition and it can now perform a seamless face verification process without constant human supervision.
How Face Verification Works through AI-Powered Facial Recognition?
The person’s face is scanned through AI-powered facial recognition and it is matched with the photo on the identity document of the individual. The liveness detection test will analyze the facial features of the end-user. Through the image or video sent, it can detect that if a person is physically present or not. If an attempt to spoof an attack occurs the system will detect it and the verification will become unsuccessful. 3D-depth perception is a deep analysis of a person’s face through their skin texture and facial points. If a fraudster is using a fake to impersonate someone else, AI-powered face recognition will detect it.
Application of AI-powered Face Recognition
It is expected that the facial recognition market will expand from 4 billion in 2017 to $7.7 billion in 2022. Facial recognition can be used for various applications.
Following is the list of organizations that can benefit from facial recognition:
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Airports
With the help of facial recognition, people coming in and out of the country can be monitored. Criminals that are on the run can be caught through this technology. Travelers can now get quickly verified and onboard the plane without wasting any time. They can get their face verification efficiently through AI-powered face recognition.
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Mobile Phone devices
The phone companies have now applied facial recognition as a part of the security measures of cell phone devices. People have important data stored in their cell phones. If fallen into wrong hands, it can become a cause of identity theft. In order to keep the cell phone secure, face verification is done to unlock the phones.
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Education Sectors and Offices
Face verification can be applied by universities and offices as a way of marking everyday attendance. It’s like hitting two birds with one stone. The student and the employee can get their identity verified in order to ensure security while the organizations will not have to go through the tedious process of marking everyone’s attendance.
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Social Media
Now, social media like Facebook and Instagram can automatically tag pictures by just recognizing the face of the person in the photos.
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Retail
The retail industry is the major target of fraudsters and identity thieves. Business organizations in this industry are also required to perform customer verification before dealing with any customer. The AI-powered facial recognition can help them carry out a face verification process of all their shoppers and ensure that their identity is not stolen and they will not defraud through chargebacks. This technology has helped the retailers to remain compliant with the law as well.
