News classification
Contact us
- 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
Face recognition, face detection and photographing SDK
Face recognition, face detection and photographing SDK
Face recognition, face detection and photographing SDK
Face recognition, face detection and photo SDK product background
With the application of the deep learning method, the recognition rate of face recognition technology has been improved qualitatively, and the rate of face recognition has reached over 99%. Compared with other biometric identification techniques, face recognition technology has a unique advantage in practical application: direct acquisition through a camera, a non contact way to complete the recognition process, convenient and quick. At present, our face recognition technology has been applied in finance, education, scenic spots, transportation, social security and other fields.
Face recognition, face detection and photo SDK product introduction
Face recognition technology is divided into two parts:
The first step is the front face face detection and photo 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 face recognition. After taking the whole face image in the face detection and photo SDK link, the link identifies the face with the identity card and determines whether it is the same face.
Face detection and photograph SDK technology can operate on the mobile end platform, 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 platform of windows, Linux and so on.
SDK technology can be photographed through face recognition and face detection, which solves the risks and vulnerabilities of real name authentication.
Sales support:
Contact: Mr. Liao
Mobile phone: 13146317170
QQ:398017534
Mailbox: 398017534@qq.com
Face recognition, face detection and photo SDK product background
With the application of the deep learning method, the recognition rate of face recognition technology has been improved qualitatively, and the rate of face recognition has reached over 99%. Compared with other biometric identification techniques, face recognition technology has a unique advantage in practical application: direct acquisition through a camera, a non contact way to complete the recognition process, convenient and quick. At present, our face recognition technology has been applied in finance, education, scenic spots, transportation, social security and other fields.
Face recognition, face detection and photo SDK product introduction
Face recognition technology is divided into two parts:
The first step is the front face face detection and photo 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 face recognition. After taking the whole face image in the face detection and photo SDK link, the link identifies the face with the identity card and determines whether it is the same face.
Face detection and photograph SDK technology can operate on the mobile end platform, 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 platform of windows, Linux and so on.
SDK technology can be photographed through face recognition and face detection, which solves the risks and vulnerabilities of real name authentication.
Sales support:
Contact: Mr. Liao
Mobile phone: 13146317170
QQ:398017534
Mailbox: 398017534@qq.com