• UnionPay "Brush Payment", F3 Face Recognition Escort

    Not only Alipay and WeChat, UnionPay has also taken steps to start taking payments off mobile phones, welcoming the arrival of "brush payment". On December 10, UnionPay officially launched face-to-face payment. UnionPay cardholders can experience face-to-face payment services in multiple supermarkets in Beijing and Shanghai. The cardholder does not need to bring a bank card and mobile phone, and can complete the payment directly by "brushing the face". The entry of the UnionPay with the national font name is a great recognition of the payment by face brush.

    UnionPay "Brush Payment", F3 Face Recognition Escort

    Why does UnionPay implement "brush payment" when most people are skeptical of face recognition?

     

    Because "brush payment" is the same as "scan code payment", it is a trend of the times, and it is the product of the iteration of payment method updates. Utilizing advanced technologies such as artificial intelligence and big data, in terms of information protection, facial feature collection has been clearly authorized by customers, and the scope of data use has been strictly controlled. Payment tokenization, multi-party secure computing, decentralized storage and other technologies have been adopted to prevent information leakage, tampering and abuse. Establish a safety guarantee mechanism to protect the legitimate rights and interests of customers such as the right to know and property security.

    UnionPay "Brush Payment", F3 Face Recognition Escort

    UnionPay's "Face Brush" uses the Shenzhen Rakinda F3 face recognition terminal to escort the face brush. F3 uses dynamic dual-camera anti-counterfeiting, night infrared, RGB dual fill light face recognition equipment, 3D TOF face recognition technology, Effectively resist counterfeiting such as photos and videos; the device supports multi-mode verification of external QR code scanners and ID card readers, massive storage of thousands of people, fast recognition, and dynamic face detection and tracking recognition algorithms based on video streams. High accuracy. When the face database is 3000, the misrecognition rate is three ten thousandths. The 1: N recognition accuracy rate is 99.9%. Dynamic face detection and tracking recognition artificial intelligence algorithms based on video streams are used.

    UnionPay "Brush Payment", F3 Face Recognition Escort

    Rakinda Technologies Co., Ltd (SCANMAX as the only brand for New Retail Solution ) was established in 2000. We have offices in Guangzhou, Shenzhen, Xiamen, Suzhou,Chongqing and Beijing. RAKINDA(SCANMAX) is a company committed to the development and landing of new retail business with strongest R&D team. We own most professional sales team,  rich industry experience and excellent reputation over 19 years in this field.

     

    SCANMAX,as the global new retail solution provider, is a leading developer and manufacturer of super hardwares in UHF readers, inlays, tags and connectivity solutions of Internet of Things (IoT). Equipped with almost 20 years of experience in RFID and face recognition technology research. SCANMAX is fully dedicated to improving efficiency in applications such as ticketing system, identity management solution, supply chain management system, asset management and unmanned smart supermarket.

     

    With our professional service in this industry,our mature solution can make you grow faster and faster at the most appropriate cost .

     

    Welcome to join SCANMAX for bright future and booming business.


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