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Mobile terminal off-line face recognition algorithm
Mobile terminal off-line face recognition algorithm
Mobile offline face recognition algorithm, live detection API
Mobile offline face recognition algorithm, live detection API product background
With the application of the deep learning method, the recognition rate of the mobile-side offline face recognition algorithm technology has been qualitatively improved. At present, the mobile-side offline face recognition algorithm rate has reached more than 99%. Compared with other biometric recognition technologies, the mobile-end offline face recognition algorithm has a unique advantage in practical applications: the direct acquisition by the camera can complete the recognition process in a non-contact manner, which is convenient and quick. At present, our mobile offline face recognition algorithm technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Mobile offline face recognition algorithm, live detection API product introduction
The mobile-side offline face recognition algorithm 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 mobile terminal offline face recognition algorithm. After obtaining the entire face image in the live detection API link, the link identifies the ID card by scanning, and after obtaining the ID card avatar, the scene face and the ID card are obtained. The upper face is compared and identified 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 mobile-side offline face recognition algorithm and the living body detection API technology, the risks and loopholes in the real-name authentication link are solved very well.
sales support:
Contact: Mr. Liao
Mobile Phone: 1314 631 7170
QQ: 398017534
E-mail: 398017534@qq.com
----Official website: www.sjocr.com
Mobile offline face recognition algorithm, live detection API product background
With the application of the deep learning method, the recognition rate of the mobile-side offline face recognition algorithm technology has been qualitatively improved. At present, the mobile-side offline face recognition algorithm rate has reached more than 99%. Compared with other biometric recognition technologies, the mobile-end offline face recognition algorithm has a unique advantage in practical applications: the direct acquisition by the camera can complete the recognition process in a non-contact manner, which is convenient and quick. At present, our mobile offline face recognition algorithm technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Mobile offline face recognition algorithm, live detection API product introduction
The mobile-side offline face recognition algorithm 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 mobile terminal offline face recognition algorithm. After obtaining the entire face image in the live detection API link, the link identifies the ID card by scanning, and after obtaining the ID card avatar, the scene face and the ID card are obtained. The upper face is compared and identified 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 mobile-side offline face recognition algorithm and the living body detection API technology, the risks and loopholes in the real-name authentication link are solved very well.
sales support:
Contact: Mr. Liao
Mobile Phone: 1314 631 7170
QQ: 398017534
E-mail: 398017534@qq.com
----Official website: www.sjocr.com