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Android ios face recognition, mobile phone live detection
Android ios face recognition, mobile phone live detection
Android ios face recognition, mobile phone live detection
Android ios face recognition, mobile phone live detection product background
In recent years, with the maturity of artificial intelligence neural networks, the recognition rate of Android ios face recognition technology has been qualitatively improved. At present, the Android ios face recognition rate has reached more than 99%. Compared with other biometric recognition technologies, Android ios 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 Android iOS face recognition technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Android ios face recognition, mobile phone live detection product introduction
Android ios face recognition technology is mainly divided into two parts:
Android ios face recognition in the background, this part obtains the whole face image through the live detection part of the mobile phone, and then scans and recognizes the ID card, obtains the ID card avatar, and then carries the face on the face and the face on the ID card. Compare the identification and judge whether it is the same face.
The front-end face mobile phone body detection, mainly supports android, ios platform, in the front end through blinking, open mouth, shaking his head, nodding and other combined actions to ensure that the operation is a real living face.
Through Android ios face recognition and mobile phone live detection technology, the risks and vulnerabilities in the real-name authentication link are solved very well.
Mobile phone live detection technology can be used in the mobile platform to provide android, ios platform SDK; because the face comparison algorithm is very large, it needs to be deployed on the server side, currently supports windows, linux and other mainstream platforms.
sales support:
Contact: Mr. Liao
Mobile Phone: 1314 631 7170
QQ: 398017534
E-mail: 398017534@qq.com
----Official website: www.sjocr.com
Android ios face recognition, mobile phone live detection product background
In recent years, with the maturity of artificial intelligence neural networks, the recognition rate of Android ios face recognition technology has been qualitatively improved. At present, the Android ios face recognition rate has reached more than 99%. Compared with other biometric recognition technologies, Android ios 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 Android iOS face recognition technology has been applied in the fields of finance, education, scenic spots, travel, social security and so on.
Android ios face recognition, mobile phone live detection product introduction
Android ios face recognition technology is mainly divided into two parts:
Android ios face recognition in the background, this part obtains the whole face image through the live detection part of the mobile phone, and then scans and recognizes the ID card, obtains the ID card avatar, and then carries the face on the face and the face on the ID card. Compare the identification and judge whether it is the same face.
The front-end face mobile phone body detection, mainly supports android, ios platform, in the front end through blinking, open mouth, shaking his head, nodding and other combined actions to ensure that the operation is a real living face.
Through Android ios face recognition and mobile phone live detection technology, the risks and vulnerabilities in the real-name authentication link are solved very well.
Mobile phone live detection technology can be used in the mobile platform to provide android, ios platform SDK; because the face comparison algorithm is very large, it needs to be deployed on the server side, currently supports windows, linux and other mainstream platforms.
sales support:
Contact: Mr. Liao
Mobile Phone: 1314 631 7170
QQ: 398017534
E-mail: 398017534@qq.com
----Official website: www.sjocr.com