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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.
- Tel: 13146317170 廖经理
- Fax:
- Email: 398017534@qq.com
Private OCR bank card identification
OCR private bank card to identify the server version of the bank card OCR software, the software can be deployed in client private server (private local server or in the cloud server can be), the app and business systems can be through the web service interface calls the identification service, terminal equipment is only responsible for shooting image upload, upload to deployed OCR private bank card recognition software servers to identify, after the completion of the identification back again the standard XML data.
Private OCR bank card identification
OCR private bank card to identify the server version of the bank card OCR software, the software can be deployed in client private server (private local server or in the cloud server can be), the app and business systems can be through the web service interface calls the identification service, terminal equipment is only responsible for shooting image upload, upload to deployed OCR private bank card recognition software servers to identify, after the completion of the identification back again the standard XML data. The whole process of recognition and I do not have any interaction, both in the enterprise's own server to complete recognition. Private OCR bank card recognition software currently supports Windows, Linux and other mainstream server operating system.
Private OCR bank card identification
Private OCR bank card to identify the main features of the function:
1. The OCR private bank card recognition software can identify various bank card savings cards, credit cards, card comprising a card plane and convex.
2 recognition time is fast: identify a bank card speed is less than 1 second, including the entire network switching process can be completed in 2 seconds.
3 support multi process identification method: can be deployed in the same server, multiple service version of OCR identification software, and support multi process at the same time identification.
4 support load balancing, automatic distribution.
5 to provide a variety of interface calls: at present WebService, Service Rest, Http, and other interface methods.
Part of the success of the case:
Sales support:
Contact: Liao Renjun
Mobile phone: 13146317170
E-Mail:398017534@qq.com
OCR private bank card to identify the server version of the bank card OCR software, the software can be deployed in client private server (private local server or in the cloud server can be), the app and business systems can be through the web service interface calls the identification service, terminal equipment is only responsible for shooting image upload, upload to deployed OCR private bank card recognition software servers to identify, after the completion of the identification back again the standard XML data. The whole process of recognition and I do not have any interaction, both in the enterprise's own server to complete recognition. Private OCR bank card recognition software currently supports Windows, Linux and other mainstream server operating system.
Private OCR bank card identification
Private OCR bank card to identify the main features of the function:
1. The OCR private bank card recognition software can identify various bank card savings cards, credit cards, card comprising a card plane and convex.
2 recognition time is fast: identify a bank card speed is less than 1 second, including the entire network switching process can be completed in 2 seconds.
3 support multi process identification method: can be deployed in the same server, multiple service version of OCR identification software, and support multi process at the same time identification.
4 support load balancing, automatic distribution.
5 to provide a variety of interface calls: at present WebService, Service Rest, Http, and other interface methods.
Part of the success of the case:
Sales support:
Contact: Liao Renjun
Mobile phone: 13146317170
E-Mail:398017534@qq.com