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H5 face recognition, H5 in vivo detection
H5 face recognition, H5 in vivo detection
H5 face recognition, H5 in vivo detection
H5 face recognition, H5 in vivo detection product background
With the application of the deep learning method, the recognition rate of H5 face recognition technology has been improved qualitatively. At present, the H5 face recognition rate has reached more than 99%. Compared with other biometric recognition technologies, H5 face recognition technology has its own unique advantages in practical applications: it can be directly accessed by the camera, and the recognition process can be completed in a non-contact manner, which is convenient and quick. At present, our H5 face recognition technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
H5 face recognition, H5 in vivo detection product introduction
H5 face recognition technology is mainly divided into two parts:
The first step is the front-end face H5 live detection, which mainly supports android and ios platforms. At the front end, through the combination of blinking, opening, shaking, nodding, etc., the operation is guaranteed to be a real living face.
The second step is the background H5 face recognition. After obtaining the whole face image in the H5 live detection link, the link will identify the ID card by scanning, and after taking the ID card avatar, the person on the scene and the person on the ID card will be The face is compared and identified to determine whether it is the same face.
H5 live detection technology can be calculated on the mobile platform, providing android, ios platform SDK; because the face comparison algorithm is very computationally intensive, it needs to be deployed on the server side, currently supports windows, linux and other mainstream platforms.
Through H5 face recognition and H5 live detection technology, the risks and loopholes in the real-name authentication link are solved very well.
H5 face recognition, H5 in vivo detection product background
With the application of the deep learning method, the recognition rate of H5 face recognition technology has been improved qualitatively. At present, the H5 face recognition rate has reached more than 99%. Compared with other biometric recognition technologies, H5 face recognition technology has its own unique advantages in practical applications: it can be directly accessed by the camera, and the recognition process can be completed in a non-contact manner, which is convenient and quick. At present, our H5 face recognition technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
H5 face recognition, H5 in vivo detection product introduction
H5 face recognition technology is mainly divided into two parts:
The first step is the front-end face H5 live detection, which mainly supports android and ios platforms. At the front end, through the combination of blinking, opening, shaking, nodding, etc., the operation is guaranteed to be a real living face.
The second step is the background H5 face recognition. After obtaining the whole face image in the H5 live detection link, the link will identify the ID card by scanning, and after taking the ID card avatar, the person on the scene and the person on the ID card will be The face is compared and identified to determine whether it is the same face.
H5 live detection technology can be calculated on the mobile platform, providing android, ios platform SDK; because the face comparison algorithm is very computationally intensive, it needs to be deployed on the server side, currently supports windows, linux and other mainstream platforms.
Through H5 face recognition and H5 live detection technology, the risks and loopholes in the real-name authentication link are solved very well.