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Android offline face recognition
Android offline face recognition
Android offline face recognition, face in vivo authentication
Android offline face recognition, face live authentication product background
With the application of depth learning method, the recognition rate of Android offline face recognition technology has been improved substantially. At present, the recognition rate of Android offline face has reached more than 99%. Compared with other biometrics recognition technologies, Android offline face recognition technology has a natural and unique advantage in practical applications: it can be directly obtained through the camera, and the recognition process can be completed in a non-contact manner, convenient and fast. At present, our company's Android offline face recognition technology has been applied to finance, education, scenic spots, travel, social security and other fields.

Android offline face recognition, face live certification product introduction
Android offline face recognition technology is mainly divided into two parts:
The first step is the front-end face authentication, mainly support android, IOS platform, in the front-end by blinking, mouth opening, shaking, nodding and other combined actions to ensure that the operation of the real live face.
The second step is Android off-line face recognition, which acquires the whole face image through the face living authentication link, then scans and identifies the ID card, gets the ID card head, compares the scene face with the face on the ID card, and determines whether it is the same face.
Face authentication technology can be operated on the mobile platform, providing Android, IOS platform SDK; because face alignment algorithm has a large amount of computation, it needs to be deployed on the server side, currently supporting mainstream platforms such as windows, linux.
Through the Android offline face recognition and face living authentication technology, very good solution to the real name authentication link risks and vulnerabilities.
Android offline face recognition, face live authentication product background
With the application of depth learning method, the recognition rate of Android offline face recognition technology has been improved substantially. At present, the recognition rate of Android offline face has reached more than 99%. Compared with other biometrics recognition technologies, Android offline face recognition technology has a natural and unique advantage in practical applications: it can be directly obtained through the camera, and the recognition process can be completed in a non-contact manner, convenient and fast. At present, our company's Android offline face recognition technology has been applied to finance, education, scenic spots, travel, social security and other fields.

Android offline face recognition, face live certification product introduction
Android offline face recognition technology is mainly divided into two parts:
The first step is the front-end face authentication, mainly support android, IOS platform, in the front-end by blinking, mouth opening, shaking, nodding and other combined actions to ensure that the operation of the real live face.
The second step is Android off-line face recognition, which acquires the whole face image through the face living authentication link, then scans and identifies the ID card, gets the ID card head, compares the scene face with the face on the ID card, and determines whether it is the same face.
Face authentication technology can be operated on the mobile platform, providing Android, IOS platform SDK; because face alignment algorithm has a large amount of computation, it needs to be deployed on the server side, currently supporting mainstream platforms such as windows, linux.
Through the Android offline face recognition and face living authentication technology, very good solution to the real name authentication link risks and vulnerabilities.