Author: Zen and the Art of Computer Programming
With the development of social economy, people rely more and more on computer technology to solve various problems. As one of the ways to realize human wisdom, artificial intelligence (AI) is leading the technological revolution and improving our work efficiency, quality of life and happiness index. With the continuous advancement of artificial intelligence technology, face recognition is becoming more and more important. Face recognition can automatically identify the facial features of the face from the image, and perform identity verification, behavior analysis, etc., which can help enterprises quickly and accurately locate users or consumers. In recent years, face recognition technology has been widely used. In banks, stock exchanges, insurance companies, retail, telecom operators and other industries, face recognition technology is widely used for user authentication and risk identification. According to incomplete statistics, more than one billion US dollars of wealth in the world has flowed to the face recognition system. In the financial field, face recognition technology is also in a booming stage. In 2017, the U.S. Congress passed the "Payment and Settlement Face Recognition Act", requiring all financial institutions to establish a payment and settlement face recognition mechanism and incorporate it into the financial security system. At the same time, major financial institutions have successively introduced policy implementation measures to promote the implementation of face recognition technology. Up to now, nearly a thousand companies and government departments have implemented relevant policies, including Visa, MasterCard, AMEX, JCB, etc. In September 2019, the European Commission issued the General Data Protection Regulation, which aims to regulate the collection, use and sharing of personal information. One of the key words involved is face recognition. In addition, because face images in medical health records are highly sensitive to privacy and personal privacy, face recognition technology has also become an important means of collecting and processing patient information. In these industries and fields, the implementation of face recognition technology will take time to accumulate. However, compared with other technologies, its impact on improving the quality of financial services, saving manpower and material resources, promoting innovation, and reducing costs far exceeds that of other technologies. So, after understanding the basics of facial recognition technology, let's take a look at how it can be applied to improve the effectiveness of financial operations.