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Face authentication, live detection
Face authentication, live detection
Face authentication, live detection API
Face authentication, live detection API product background
With the application of the deep learning method, the recognition rate of face authentication technology has been improved qualitatively. At present, the face authentication rate has reached more than 99%. Compared with other biometric recognition technologies, face authentication 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 face authentication technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Face authentication, live detection API product introduction
Face authentication technology is mainly divided into two parts:
The first step is the front-end human face detection API, 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 face authentication. After obtaining the whole face image in the live detection API link, the link will identify the ID card by scanning, and after taking the ID card avatar, the face and the face on the ID card will be Perform comparison recognition to determine whether it is the same face.
The live detection API technology can be operated on the mobile platform to provide the android and ios platform SDK. Since the face comparison algorithm has a very large amount of computation, it needs to be deployed on the server side, and currently supports mainstream platforms such as windows and linux.
Through the face authentication and live detection API technology, the risks and vulnerabilities in the real-name authentication link are solved very well.
Face authentication, live detection API product background
With the application of the deep learning method, the recognition rate of face authentication technology has been improved qualitatively. At present, the face authentication rate has reached more than 99%. Compared with other biometric recognition technologies, face authentication 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 face authentication technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Face authentication, live detection API product introduction
Face authentication technology is mainly divided into two parts:
The first step is the front-end human face detection API, 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 face authentication. After obtaining the whole face image in the live detection API link, the link will identify the ID card by scanning, and after taking the ID card avatar, the face and the face on the ID card will be Perform comparison recognition to determine whether it is the same face.
The live detection API technology can be operated on the mobile platform to provide the android and ios platform SDK. Since the face comparison algorithm has a very large amount of computation, it needs to be deployed on the server side, and currently supports mainstream platforms such as windows and linux.
Through the face authentication and live detection API technology, the risks and vulnerabilities in the real-name authentication link are solved very well.
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