There are thousands of faces which we see every day. We see those faces from different angles and from different screens as well. We see them from desktops, mobiles, tablets, social media, and many other platforms. We see human faces so often, that we don’t consider this thing that how our brain processes the human faces. Technology goes one hand further; we teach artificial intelligence how to verify human faces. The use of biometric technology to identify faces is one of the most commonly used technologies today.
Now, it is possible from advanced technology to identify faces with the help of artificial intelligence. All the images are recorded in a digital frame where AI matches them with the database. There is a significant difference between face verification and face recognition. Facial recognition is used in the streets and in public spaces to identify the faces of the criminals who are involved in street crimes. Most people have serious objections to the street face recognition system because most of the systems are implemented without taking the concern of people.
It is a system in which artificial intelligence creates the map of the face and compares it with an ID card or the photo to check whether a real person is present or not. The face verification process is done during the awareness of a user. Artificial intelligence captures the characteristics of the face and identifies the faces despite makeup and change in looks. The system works by applying 30,000 invisible points to the face, three – dimensional map of the face is created. The system also works at night. The system is also trying to identify faces even when the shape of the nose and chin is changed due to makeup. Everyone is trying to improve the system to recognize faces even in the masks.
Face verification is used in banks, financial institutions, health institutions, and many other institutions where there is a need for an identity verification process. Many companies ask users to upload their selfies and pictures of documents. However, this process is not reliable with KYC and AML regulations. For the high-risk industry, this is not possible because of the low level of reliability and security. The face verification process can be improved by using a remote identity verification process – on video. Recording of the whole process allows the system to identify different actions and suspicious activities of the users and how he fills all the steps of the process. Most importantly it adds confidence in the customer service team. Both AI verification and operation verification are key to success in the verification process. The company should remember that AI can make mistakes so human judgment is also important in the identity verification process.
How efficient are facial recognition systems? Algorithms that are used to detect face verification have constantly improved their performance in the past. In 2014, the error rate of best AI face verification was 4.1%. However, in 2020 it has been efficiently reduced to 0.08%. However, most of the experts have argued that errors should be constantly decreased and factors which are controlling the effectiveness of the results can increase the risk of the errors. It should be mentioned that algorithms of face verification are much better than face recognition because of the different environmental constraints. Face verification is done in the control environment where users know that they have to look directly into the camera and should remain still, other than facial recognition which is a difficult process.
One of the safe and effective procedures during identity verification is the use of biometric features. One of the most reliable methods for identifying a user is by examining the blood vessel system, or iris of the eyes of the users. Every person has an individual blood vessel system and iris of their eyes which forms the basis of Face Verification features.
Biometric face verification is much easier and that’s why this technology is used in most airports and financial institutions with the support of live video verification and almost 93% of them will incorporate this technology by 2023.
Face verification technology is important for us because it increases the sense of security. The future of Face verification technology relies on the rapid development of technology and algorithms.
Now, AI needs human control but in the future, it will be able to work even during the environmental constraints