Just as we have become accustomed to scanning QR code payments, more and more offline face-swiping payment devices are quietly changing our payment habits. For facial payment applications, offline application risks are relatively controllable, and the conditions for pilot applications are basically available. The domestic third-party payment industry is dominated by the two giants of Alipay and WeChat Pay. With the two companies actively promoting face payment, the entire industry will quickly follow up, including upstream equipment manufacturers, downstream acquiring service agencies and Other competitors in the industry.
It is encouraged by regulation and recognized in the market. As one of the two giants of facial payment, Alipay also expressed optimism that facial recognition is a more technological and futuristic payment experience. It is also an interaction between people and devices. It will bring a lot of opportunities for application innovation. This is the difference between it and the QR code. In essence, it is a system that serves the offline market.
Behind the advent of the era of brushing faces is the rapid development and evolution of technology. The latest data shows that the highest level of global face recognition algorithms can achieve a false alarm rate of one in ten million. Compared with the same period last year, the performance of global face recognition has improved. Face-swiping payment, smart medical care, smart campus, smart bank, restaurants, supermarkets, hotels, non-sense parking lots, solutions for various scenarios, and software customized development.
At present, the development of face recognition technology in our country has been relatively mature. It has been promoted by more and more companies to the field of security access control. With the continuous development and improvement of face recognition technology, it has been in the campus, The scope of applications in finance, community, transportation, face-scanning payment and other industries is also expanding.
The engineering application of face recognition began in the 1960s. After more than 50 years of development, face recognition technology has made major breakthroughs, and many classic algorithms and face libraries have appeared one after another. At present, the highest accuracy rate of the face recognition system can reach 99.5%, while the accuracy rate of recognition by the human eye under the same conditions is only 97.52%, and the accuracy rate of face recognition has been more accurate than that of the naked eye.
In the Internet plus environment, the degree of social and economic integration continues to increase. Various forms of online business models such as O2O, P2P, B2C, and B2B are emerging one after another. The important supporting technology platform for network operations is online payment, and face recognition technology is used as a network An important guarantee for payment security is widely used in corporate and personal fields.