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不同业务场景需要多种不同的人脸识别算法

各个供应商分别提供人脸识别SDK，算法性能
参差不齐，人脸底库重叠

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Response plan/overall architecture

Yuncong self-developed biometric recognition algorithms, including facial recognition, lip recognition, and live body detection, supporting identity verification in scenarios such as Bank of China mobile banking, online banking, ATM face swiping withdrawals, and smart counters, providing a convenient and secure remote account opening experience, effectively reducing account opening risks, and strengthening internal bank controls.

By using facial recognition combined with passwords and SMS verification codes, cardless transactions can be achieved, with strong real name authentication to prevent others from stealing user funds. At the same time, cardless transactions can improve the user experience.
The existing staff manually verifies user identities with a recognition rate of about 72%, while our facial recognition technology reaches over 99.8% and can improve audit efficiency. On the other hand, we use facial recording of user transactions to prevent users from repudiation
Using "face cards" instead of other media can effectively prevent theft and cloning, and can record clock in, patrol time, location, and people, enhancing security protection.
The use of facial comparison verification technology combined with traditional security passwords, RFID cards, and fingerprint methods can prevent staff from stealing other people's passwords, RFID cards, and colluding with fingerprint sleeves.

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Business Hours: 9:30-18:00 (Beijing time) from Monday to Friday

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Guangdong ICP No. 15087156 CloudWalk Technology Co., Ltd.

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