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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
Human image recognition SDK, face living SDK
Human image recognition SDK, face living SDK
Human image recognition SDK, face living SDK
Human image recognition SDK, face living SDK product background
With the application of the deep learning method, the recognition rate of SDK technology has been improved. At present, the recognition rate of SDK has reached over 99%. Compared with other biometric identification techniques, image recognition SDK has a unique natural advantage in practical applications: direct acquisition through a camera, a non contact way to complete the recognition process, convenient and quick. At present, our SDK technology has been applied in the fields of finance, education, scenic spots, travel and social security.
Human image recognition SDK, face living SDK product profile
The image recognition SDK technology is divided into two parts:
The first step is the front-end face human face SDK, which mainly supports the Android and IOS platform. In the front end, the face is operated as a real living face by blinking, opening the mouth, shaking the head, and nodding the head.
The second step is the background image recognition SDK. After obtaining the whole face image in the SDK link of the human face, the link identifies the face with the identity card and determines whether it is the same face after the identification card is scanned and the ID card is taken.
Human face SDK technology can operate on the mobile end platform and provide Android and IOS platform SDK. Because the computation of face comparison algorithm is very large, it needs to be deployed on the server side and currently supports the mainstream platforms such as windows, Linux and so on.
Through the identification of SDK and the live SDK technology, the risks and vulnerabilities of the real name authentication link are well solved.
Sales support:
Contact: Mr. Liao
Mobile phone: 13146317170
QQ:398017534
Mailbox: 398017534@qq.com
Official net: www.sjocr.com
Human image recognition SDK, face living SDK product background
With the application of the deep learning method, the recognition rate of SDK technology has been improved. At present, the recognition rate of SDK has reached over 99%. Compared with other biometric identification techniques, image recognition SDK has a unique natural advantage in practical applications: direct acquisition through a camera, a non contact way to complete the recognition process, convenient and quick. At present, our SDK technology has been applied in the fields of finance, education, scenic spots, travel and social security.
Human image recognition SDK, face living SDK product profile
The image recognition SDK technology is divided into two parts:
The first step is the front-end face human face SDK, which mainly supports the Android and IOS platform. In the front end, the face is operated as a real living face by blinking, opening the mouth, shaking the head, and nodding the head.
The second step is the background image recognition SDK. After obtaining the whole face image in the SDK link of the human face, the link identifies the face with the identity card and determines whether it is the same face after the identification card is scanned and the ID card is taken.
Human face SDK technology can operate on the mobile end platform and provide Android and IOS platform SDK. Because the computation of face comparison algorithm is very large, it needs to be deployed on the server side and currently supports the mainstream platforms such as windows, Linux and so on.
Through the identification of SDK and the live SDK technology, the risks and vulnerabilities of the real name authentication link are well solved.
Sales support:
Contact: Mr. Liao
Mobile phone: 13146317170
QQ:398017534
Mailbox: 398017534@qq.com
Official net: www.sjocr.com