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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
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- Email: 398017534@qq.com
Human face photograph similarity contrast identification technology, living detection and authentication technology
Human face photograph similarity contrast identification technology, living detection and authentication technology
Human face photograph similarity contrast identification technology, living detection and authentication technology
Human face photograph similarity contrast identification technology, live detection, authentication technology, product background
With the application of the depth learning method, the recognition rate of human face image similarity contrast recognition technology has been improved qualitatively. At present, our face image similarity contrast recognition rate has reached 99%. Face image similarity comparison recognition technology and other biometric technology than eat with natural, unique advantages in practical application: can be obtained directly through the camera, non-contact way to complete the identification process, convenient and quick. At present, our face image similarity contrast recognition technology has been applied in finance, education, scenic spots, travel, social security and other fields.
Human face photograph similarity contrast identification technology, living detection, authentication technology, product brief introduction
The technique of human face photograph similarity comparison is mainly divided into two parts:
The first part is the front face detection and authentication technology, which mainly supports the Android and IOS platforms, and ensures the operation of real live faces by blinking, mouth opening, shaking head and nod.
Through the human face photograph similarity comparison, the recognition technology and the live detection, the authentication technology, has solved the real name authentication link risk and the loophole truly.
Sales support:
Contact: Mr. Liao
Mobile phone: 13146317170
QQ:398017534
Mailbox: 398017534@qq.com
Human face photograph similarity contrast identification technology, live detection, authentication technology, product background
With the application of the depth learning method, the recognition rate of human face image similarity contrast recognition technology has been improved qualitatively. At present, our face image similarity contrast recognition rate has reached 99%. Face image similarity comparison recognition technology and other biometric technology than eat with natural, unique advantages in practical application: can be obtained directly through the camera, non-contact way to complete the identification process, convenient and quick. At present, our face image similarity contrast recognition technology has been applied in finance, education, scenic spots, travel, social security and other fields.
Human face photograph similarity contrast identification technology, living detection, authentication technology, product brief introduction
The technique of human face photograph similarity comparison is mainly divided into two parts:
The first part is the front face detection and authentication technology, which mainly supports the Android and IOS platforms, and ensures the operation of real live faces by blinking, mouth opening, shaking head and nod.
The second part is the background face image similarity comparison recognition technology, the link through the whole face image authentication technology in part by in vivo detection, scanning identification ID, Id take to the head, face and face the scene on the ID card to compare identification, to determine whether it is the same face.
Through the human face photograph similarity comparison, the recognition technology and the live detection, the authentication technology, has solved the real name authentication link risk and the loophole truly.
Sales support:
Contact: Mr. Liao
Mobile phone: 13146317170
QQ:398017534
Mailbox: 398017534@qq.com