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Face recognition, automatic detection of human face
Face recognition, automatic detection of human face
Face recognition, automatic detection of human face
Face recognition, automatic detection of product background in vivo
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 98%. 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 and automatic detection of human face
Face recognition technology is divided into two parts:
The first step is the automatic detection of human face in front of the face, 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 obtaining the whole face image in the automatic detection link of the human face, the link identifies the face with the identity card and determines whether it is the same face.
Human face automatic detection technology can operate on the mobile terminal platform and provide the Android and IOS platform SDK. Because the computation of face alignment 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 face recognition and automatic face detection technology, the risks and vulnerabilities of 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
Face recognition, automatic detection of product background in vivo
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 98%. 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 and automatic detection of human face
Face recognition technology is divided into two parts:
The first step is the automatic detection of human face in front of the face, 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 obtaining the whole face image in the automatic detection link of the human face, the link identifies the face with the identity card and determines whether it is the same face.
Human face automatic detection technology can operate on the mobile terminal platform and provide the Android and IOS platform SDK. Because the computation of face alignment 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 face recognition and automatic face detection technology, the risks and vulnerabilities of 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