Facial recognition is a technology that automatically identifies (recognises who is in the photo) or verifies (confirms that the person in the photo is that person) a person in a photo, video or in person. Neural networks are used for recognition, which can read and analyse the unique features of a person’s face and then check them against the database.
Such technologies are beginning to be used everywhere and even online casinos, about which you can read online casinos reviews.
The first experiments in machine facial recognition were conducted in the 1960s by Woody Bledsoe, an artificial intelligence researcher at the University of Texas at Austin. His working group created a database of 800 pictures of people in different angles. The scientists then marked the faces with 46 coordinate points, using a prototype of a modern tablet. Using a special algorithm, the system deployed the faces at different angles, zooming in and out. In the second stage, the algorithm used 22 measurements, acting on Bayesian decision theory – so that the overall conclusion was as accurate as possible. In the end, the system developed by Bledsoe coped 100 times faster than a human.
The technology is based on two neural networks:
Huge databases of people’s faces are used to train neural networks. The neural network input tells it who the face belongs to, and then it is trained to give the most accurate results. After learning from millions of different people, the neural network begins to recognise new faces – ones that were not in the database.
Criminals, police and intelligence agencies use automated biometric identification systems (ABIS) to find criminals, prove crimes and prevent them – such as terrorist attacks or document fraud.
Facial recognition cameras are used for security at public events, for security checks at airports, and for access control at various organisations. The systems help find missing children, disoriented adults or people being held captive.
Facial recognition in hospitals and nursing homes helps track whether patients are taking their medication and monitor their condition through a special monitor. Neural networks are even able to detect genetic diseases by facial characteristics – such as DiGeorgey syndrome – and assess the overall condition of the patient.
Facial recognition technology helps identify customers and prevent fraud during in-store purchases, analyse customer behaviour and optimise service so that it sells more.
Online biometrics can be used to open an account and obtain credit, as well as to withdraw money from an ATM. For example, China’s KFC and America’s Amazon Go have “pay by the face”. In Russia, there are plans to introduce biometrics at all major banks instead of regular identification.
Services based on facial recognition help during online learning: they make sure that students do not get distracted during exams, do not cheat and do not use verbal cues.
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