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:N, FaceMe® provides up to 99.73 TAR in VISA Border investigation mode, which is ideal for use cases like border check and eKYC. In 1:1 WILD photo, FaceMe® reached 96.98% TAR (with FMR at 1E-5), ideal for use cases like security and surveillance.
No. 1 in 1:N
No. 6 when incl. China & Russia Vendors
VISA Border 1:N
Investigation Mode/1.6M DB
TAR: 99.73%
No. 1 in 1:1
No. 6 when incl. China Vendors
Wild Photo 1:1
FMR: 1E-5 (0.00001)
TAR: 96.98%
Based on machine learning and deep neural network, FaceMe® has an accuracy rate (TAR, True Acceptance Rate) of 99.7% at 10-4 FAR. It ranks amongst the most precise and fastest facial recognition engines in NIST's Face Recognition Vendor Test (FRVT).
To meet specific performance requirements of mainstream to high-end use cases, developers can choose to enable GPU acceleration, harnessing OpenVINO™, NVIDIA® CUDA™, Intel® Movidius™, Jetson™, ARM, and more to speed up deep-learning algorithms.
CyberLink’s unique TrueTheater™ visual enhancement technology improves image quality in the pre-processing phase and increases accuracy by 11.65%.
FaceMe® AI technology can identify individuals who are not wearing a mask, where required. The feature is so accurate it can also detect if a mask isn't properly covering someone's nose and mouth.
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.
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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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.
ContactOur team of experts will be happy to answer your questions and schedule a demo. Free evaluation versions of the FaceMe® are available to qualified contacts.
