Face-swiping payment relies on core artificial intelligence technology to reduce labor costs

There is a large market for face payment. Face payment is a mobile payment trend. Its arrival will make the entire retail industry more convenient and faster to serve customers. Alipay will promote it, and it will surely replace QR codes in the near future, just like QR codes. The same code replaces cash. Mobile payment has gradually been accepted by consumers. For new things, everyone was waiting and watching at the beginning, just like the beginning of mobile payment, and the same is true for later aggregate payments.

When consumers are accustomed to swiping their faces like they were used to scanning QR codes, the first wave of dividends are still those entrepreneurs who follow the trend and actively embrace change. But once the new things solve the pain points of merchants and consumers, then the new things will surely develop in general. Face-swiping payment, smart medical care, smart campus, smart bank, catering, supermarket, hotel, non-sense parking lot, various scene solutions, software customization development, payment equipment wholesale, please Baidu "Zhangyou Electronic Wei" for details

Face-swiping payment relies on AI core technology to reduce labor costs and improve business efficiency of merchants. With mobile payment big data solutions as the core, a comprehensive digital upgrade of consumer groups, commodities, scenes, terminals and other elements in offline retail scenes will help merchants realize unmanned cashiers, improve shop space utilization, and divert customers And reduce labor costs.

Everyone should know that WeChat and Alipay’s facial payment products have been widely recognized in the market. Alipay launched the facial payment dragonfly and WeChat launched the frog. These two products can be said to be very practical. Convenient and light, it lowers a very large entry threshold for merchants.

Face brushing is a biometric recognition technology based on human facial feature information. It uses a video camera or camera to collect images or video streams containing human faces, and automatically detects and tracks the human face in the image, and then detects A series of related technologies for facial recognition of human faces, usually also called portrait recognition and facial recognition.

With the rapid development of computer technology, face brushing has also become one of the relatively mature technologies in the field of artificial intelligence. It has become an artificial intelligence technology that has been applied earlier in addition to speech recognition, especially in an overall environment like my country. The support of data, the richness of application scenarios behind the market, and the accumulation of technology have accelerated the landing of facial recognition.

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Origin blog.csdn.net/shuimengan8/article/details/113347390