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


The World’s Top AI Facial Recognition Engine

Top 10 in both NIST FRVT 1:1 & 1:N

What is FaceMe® SDK

  • 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.

  • See how it works Download Brochure

Top Listed in NIST FRVT 1:1 & 1:N

  • nist logo
  • 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)

    NIST FRVT 1:1 Leaderboard, VISA Category, 3/9/2023
  • VISA, Border 1:N

    Investigation Mode
    Database: 1.6M People

    True Acceptance Rate (TAR)

    NIST FRVT 1:N Leaderboard, VISA Border Category, 2/9/2021

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.

  • Programming Languages

  • Operating Systems

    facial recognition Windows facial recognition Linux facial recognition Android facial recognition iOS facial recognition Nvidia_JetPack
  • AI Inference Engines

    facial recognition OpenVINO facial recognition TensorFlow facial recognition TensorRT facial recognition CoreML facial recognition SNPE
  • SoC & IoT Platforms

    facial recognition Nvidia_Jetson facial recognition Nvidia facial recognition Intel facial recognition iOS facial recognition ARM facial recognition Intel_Core facial recognition nxp facial recognition qualcomm

FaceMe® SDK Key Features

  • facial recognition icon

    Face Recognition

    • Face detection
    • Facial template extraction
    • Face search
    • Face compare & match
  • computer vision analytics detection icon

    Age, Gender, and Emotion Detection

    • Gender
    • Age
    • Facial expression
    • Head orientation
  • facial recognition anti-spoofing icon


    • Anti-spoofing with 2D cameras​
    • Anti-spoofing with 3D depth cameras​
    • Detect deepfake videos
  • facial recognition with masks and mask detection icon

    Face with Masks

    • Mask detection
    • Facial recognition through masks – TAR up to 98.21%

Outstanding AI Technology

  • man with accurate ai facial recognition vector overlay
  • 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 false match rate (at 1E-6 FMR). It ranks among the most precise and fastest facial recognition engines in the NIST FRVT.

  • two female faces in a side by side facial recognition anti-spoofing vector comparison
  • 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 mainstream 3D cameras as well as 2D cameras on phones and tablets.

    Watch Video
  • female wearing a face mask and successfully authenticating with facial recognition
  • Facial Recognition When Wearing a Mask

    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.

Use Cases and Applications:

  • System Integrators
  • Developers

Deploying FaceMe®

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.

  • Smart Security

    smart security ai cctv camera icon
    • Time & attendance
    • Access control
    • Smart ID kiosk
    • Smart pharmacy
  • Smart Facility

    smart facility ai facial recognition factory icon
    • Door access system and identification
    • Event-based alert system
    • ID authentication for machinery use
    • Field entry clearance
  • Smart Retail

    • Transaction authentication
    • Customer demographics
    • Customer personalization
    • Access control and authentication
    • Loss prevention
  • Smart Banking

    smart banking ai facial recognition financial institution icon
    • Identity verification
    • Fraud prevention
    • Transaction authentication
    • Forensic investigation

Integrating FaceMe®

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.

  • Hardware

    • Industrial computers
    • Workstations
    • Servers
    • Embedded systems
  • Surveillance and Access Control

    • IP cameras, Smart cameras
    • Video management systems
    • Automated doors and turnstiles
    • Time attendance systems
  • Retail and Financial

    • POS terminals and kiosks
    • Digital signage
    • Customer loyalty programs
    • ATMs
  • Other IoT/ AIoT

    • Mobile devices
    • Smart homes & buildings
    • Factories and production lines

Market Insights & Downloads

  • Facial Recognition AIoT Applications You Need to Know
    Facial Recognition AIoT Applications You Need to Know
    Learn about Top Facial Recognition Use Cases in AIoT (Artificial Intelligence of Things)
  • FaceMe® SDK Case Study -  Leading Construction Workforce Management Platform
    FaceMe® SDK Case Study - Leading Construction Workforce Management Platform
    FaceMe® SDK streamlines construction site time and attendance when integrated into leading construction workforce management platform
  • FaceMe SDK Brochure
    FaceMe SDK Brochure
    The World’s Top Cross-Platform AI Facial Recognition Engine
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