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- Add: No. 9, North Fourth Ring Road, Haidian District, Beijing. It mainly includes face recognition, living detection, ID card recognition, bank card recognition, business card recognition, license plate recognition, OCR recognition, and intelligent recognition technology.
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Identification of bank card, ID card identification new case - readily borrow
Readily borrow APP kind of integration of my ID card identification SDK and bank card identification SDK, used to enhance the user experience APP. After the user registration for real name authentication, only through the phone camera to scan ID card, you can automatically identify.
Readily borrow APP kind of integration of my ID card identification SDK and bank card identification SDK, used to enhance the user experience APP. After the user registration for real name authentication, only through the phone camera to scan ID card, you can automatically identify.
Bind the bank card, simply sweep to automatically identify the bank card number, card quickly.
Readily borrow is a data innovation of mobile Internet products based on, developed by Shenzhen Hua Ao Data Technology Co., Ltd. launched dedicated to provide users with the most convenient and efficient mobile financial services, combined with the mobile Internet technology, is committed to solve the young people petty cash needs, using advanced data analysis techniques, automatic recognition and cross validation for a user to submit information, achieve personal credit evaluation online, the user through the readily borrow app anywhere you can get petty cash service, enjoy the personal credit for life to bring the convenience.
Readily borrow the core team include analysis of the data modeling, data mining, mobile Internet, finance team, team members have profound financial and Internet technology background, worked in domestic and foreign well-known Internet and financial enterprises. The data analysis of the core members of the team modeling by Oxford University Dr., Facebook data scientists, have rich data analysis and modeling of actual combat experience; large team of data mining mainly from Oracle, IBM and other companies, with years of big data distributed computing and processing experience; mobile Internet team from the domestic well-known Internet companies, have rich mobile Internet product development and operating experience; financial business experts from the country's top Internet financial company, we on big data and Internet banking has a near obsession with passion. .
Bind the bank card, simply sweep to automatically identify the bank card number, card quickly.
Readily borrow is a data innovation of mobile Internet products based on, developed by Shenzhen Hua Ao Data Technology Co., Ltd. launched dedicated to provide users with the most convenient and efficient mobile financial services, combined with the mobile Internet technology, is committed to solve the young people petty cash needs, using advanced data analysis techniques, automatic recognition and cross validation for a user to submit information, achieve personal credit evaluation online, the user through the readily borrow app anywhere you can get petty cash service, enjoy the personal credit for life to bring the convenience.
Readily borrow the core team include analysis of the data modeling, data mining, mobile Internet, finance team, team members have profound financial and Internet technology background, worked in domestic and foreign well-known Internet and financial enterprises. The data analysis of the core members of the team modeling by Oxford University Dr., Facebook data scientists, have rich data analysis and modeling of actual combat experience; large team of data mining mainly from Oracle, IBM and other companies, with years of big data distributed computing and processing experience; mobile Internet team from the domestic well-known Internet companies, have rich mobile Internet product development and operating experience; financial business experts from the country's top Internet financial company, we on big data and Internet banking has a near obsession with passion. .