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CyberLink AI face recognition engine CES debut, recognition rate as high as 98.41%

  AI technology developer CyberLink will showcase its world's top cross-platform AI face recognition engine FaceMe, smart retail, smart access control and smart city applications at the 2019 Consumer Electronics Show (CES 2019), which will be held next week. FaceMe is the world's top cross-platform AI face recognition engine. It is built with deep neural network learning algorithms and has a correct recognition rate of 98.41%. It is recognized by the world-famous MegaFace Challenge face recognition challenge and is ranked as the most accurate face recognition technology in the world. one.

CyberLink will showcase the diverse FaceMe smart lifestyle app in CES 2019. In the smart retail field, through the integration of FaceMe face recognition engine electronic billboards or information service stations and other terminal devices, real-time access to the visitor's gender, age and mood, and further statistical analysis of customer traffic and residence time, let the service staff Customized sales response for different users.

For the FaceMe access control application, the site also displays high security bio-anti-counterfeiting technology. FaceMe can accurately identify real people's identity through 3D sensing, effectively eliminate the illegal use of big-headed or facial dynamic film, and cooperate with strategic hardware partners to provide users with the most reliable software and hardware integrated face recognition solution.

CyberLink CEO Huang Yixiong said that FaceMe is an AI face recognition engine that supports cross-platform and easy to import systems or services. It can provide a personalized user experience in different application domains, and quickly create secure smart retail and customers. Analyze the system and master the business opportunities.

FaceMe not only supports mainstream operating systems such as Windows, Linux, Android and iOS, but also has Edge Computing integration advantages. The AIoT device can transfer data processing from the cloud to the edge without relying on the cloud server, greatly improving the speed of face recognition. It can be applied to electronic billboards, customer relationship management systems (CRM), information service stations, access control security systems, home care robots, etc., to help system manufacturers create cross-platform, hardware and software integrated face recognition solutions.