FaceMe® SDK - Cross-Platform Face Recognition Engine for AIoT/IoT Devices | CyberLink (2025)

• 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 FRTE 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.

• NIST FRTE 1:1

  1:1 Face Verification

  False Match Rate (FMR)
  0.000001(1 in 1 Million)

  True Acceptance Rate (TAR)
  99.83%

  VISA Category, 3/9/2023

• NIST FRTE 1:N

  1:N Face Search

  Database Size
  1.6Million People

  True Acceptance Rate (TAR)
  99.73%

  VISA-Border Category, Investigation Mode, 2/9/2021

• NIST FATE PAD

  Passive 2D Anti-spoofing

  True Rejection Rate (TRR)
  100%

  True Acceptance Rate (TAR)
  99%

  Video Convenience Category, 9/20/2023

Optimized for IoT / AIoT Devices: Versatile, Fast, Compatible

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.

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• Highly Accurate

  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 (1E-6) false acceptance rate (FAR). It ranks among the most precise and fastest facial recognition engines in the NIST FRVT.

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• Secure Anti-Spoofing

  Multiple anti-spoofing technologies provide highly secure, accurate liveness detection to protect against biometric fraud, e.g. print attacks, replay attacks, and deepfakes. FaceMe^® supports anti-spoofing with 3D depth-of-field, smartphone and tablet 2D, and also IR+RGB infrared camera lenses.

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• Facial Recognition When Wearing a Mask

  FaceMe^®'s updated algorithm provides the ability to accurately recognize a person's identity with up to 98.21% accuracy rate even if they are wearing a mask. It enables instantaneous and hygienic touchless biometric recognition.