FaceMe® SDK, a cross-platform facial recognition engine, is uniquely positioned to integrate edge-based AI facial recognition into a wide range of IoT and AIoT solutions. FaceMe® SDK is optimized to run on most hardware configurations, from high-end workstations to low-power chipsets typically used in IoT devices. It is compatible with Windows, Linux, Android and iOS systems.
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FaceMe® SDK is top ranked in both NIST FRVT 1:1 and 1:N. In 1:1, FaceMe® provides up to 99.83% TAR (with FMR at 1E-6), which is ideal for use cases like eKYC and 2-factor authentication. In 1:N, FaceMe® reached 99.73% TAR in VISA Border investigation mode, ideal for use cases like security and surveillance.
VISA 1:1
False Match Rate (FMR)
0.000001 (1E-6)
True Acceptance Rate (TAR)
99.83%
VISA, Border 1:N
Investigation Mode
Database: 1.6M People
True Acceptance Rate (TAR)
99.73%
CyberLink’s accurate and reliable AI facial recognition engine, FaceMe®, can be leveraged and deployed to a variety of IoT devices including high-end workstations, PC’s, mobile devices, digital signage, access control devices, POS systems, and kiosks. It’s versatile and supports major operating systems, AI inference engines, and multiple edge computing platforms. FaceMe® SDK processing speeds can also be accelerated with NVIDIA RTX GPU’s.
Based on the test by NIST's Face Recognition Vendor Test (FRVT), FaceMe® achieves a 99.83% True Acceptance Rate (TAR) at an ultra-low one-in-a-million false match rate (at 1E-6 FMR). It ranks among the most precise and fastest facial recognition engines in the NIST FRVT.
Multiple anti-spoofing technologies provide highly secure, accurate liveness detection to protect against biometric fraud, e.g. replay attack and print attack. FaceMe® supports anti-spoofing with mainstream 3D cameras as well as 2D cameras on phones and tablets.
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FaceMe®'s updated algorithm provides the ability to accurately recognize a person's identity with up to 98% accuracy rate even if they are wearing a mask. It enables instantaneous and hygienic touchless biometric recognition.
Facial recognition can enhance security, identify potentially fraudulent activities and help loss prevention. FaceMe®’s cross-platform SDK and flexible architecture enable an easy deployment in any environment.
FaceMe® supports a variety of operating systems and AI inference engines. It is designed to run on mainstream processors and is optimized to take advantage of GPU / VPU hardware acceleration. FaceMe®’s flexible and scalable architecture provides hardware and software developers the tools to create customized facial recognition solutions and experiences.
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