Based on deep learning neural network face recognition technology, living detection and recognition

Based on the deep learning neural network face recognition technology, the living detection and identification product background

As the deep learning method of the application, based on the deep learning neural network recognition rate of face recognition technology has improved quality, at present our company based on deep learning neural network face recognition rate has reached 99%. Face recognition technology based on the deep learning neural network with other than eat, biometric identification technology in the practical application has natural advantage: original directly obtained through the camera, can not contact way to complete identification process, convenient and quick. At present, our company based on deep learning neural network face recognition technology has been applied in finance, education, scenic spot, travel, social security and other fields.

Based on the deep learning neural network face recognition technology, the living detection and identification product profile

The technology of face recognition based on deep learning neural network is divided into two parts:

The first part is the detection and recognition of the front-end face, which mainly supports android and ios platform, and in the front of the front, through the combination of winking, opening mouth, shaking head, nodding, etc., to ensure the operation is real living human face.

The second part is the background based on deep learning neural network face recognition technology, the link through the in vivo after the whole face image detection identification step, by scanning identification id again, after get the id card image, to compare the field face and id card on the face recognition, judge whether it is with a human face.

The living detection and recognition technology can operate on the mobile platform and provide the SDK of android and ios platform. Because the algorithm is so large, it needs to be deployed on the server side, which currently supports mainstream platforms such as Windows and Linux.

Based on deep learning neural network face recognition technology and living detection technology, it is very good to solve the risk and vulnerability of real-name certification.

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