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Face biometric authentication
Face biometric authentication
Face recognition, face recognition
Face recognition, face recognition product background
With the application of the deep learning method, the recognition rate of face recognition technology has been improved qualitatively. At present, the face recognition rate has reached more than 99%. Compared with other biometric recognition technologies, 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 face recognition technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Face recognition, face biometric certification product introduction
Face recognition technology is mainly divided into two parts:
The first step is the front-end face and face biometric authentication, which mainly supports the 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 recognition. After obtaining the whole face image in the face biometric authentication section, the link will identify the ID card by scanning, and after getting 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.
The face biometric authentication 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 recognition and face biometric authentication technology, the risks and loopholes in the real-name authentication link are solved very well.
Face recognition, face recognition product background
With the application of the deep learning method, the recognition rate of face recognition technology has been improved qualitatively. At present, the face recognition rate has reached more than 99%. Compared with other biometric recognition technologies, 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 face recognition technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Face recognition, face biometric certification product introduction
Face recognition technology is mainly divided into two parts:
The first step is the front-end face and face biometric authentication, which mainly supports the 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 recognition. After obtaining the whole face image in the face biometric authentication section, the link will identify the ID card by scanning, and after getting 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.
The face biometric authentication 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 recognition and face biometric authentication technology, the risks and loopholes in the real-name authentication link are solved very well.