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

FaceMe®

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 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
    1.6 Million 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.

  • Programming Languages

    C++
    C#
    Python
    Java
    Objective-C
  • 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 facial recognition Ambarella

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

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

    Liveness Detection​​

    • Anti-spoofing with 2D cameras​​
    • Anti-spoofing with 3D depth cameras​
    • Deepfake Detection
  • facial recognition with masks and mask detection icon

    Masked Face Recognition

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

    • Detect people using body shape​
    • Person attribute recognition, including age, gender, clothing type, clothing color, and accessories

Outstanding AI Technology

  • man with accurate ai facial recognition vector overlay
  • Highly Accurate

    Based on the test by NIST's Face Recognition Technology Evaluation (FRTE), 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 FRTE.

  • two female faces in a side by side facial recognition anti-spoofing vector comparison
  • NIST Age Estimation Benchmark

    FaceMe® demonstrated outstanding age estimation accuracy with a Mean Absolute Error (MAE) value of 3.282 in NIST's latest Face Analysis Technology Evaluation (FATE) Age Estimation & Verification.

  • 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 3D depth-of-field, smartphone and tablet 2D, and also IR+RGB infrared camera lenses.

    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 98.21% accuracy rate even if they are wearing a mask. It enables instantaneous and hygienic touchless biometric recognition.

  • female wearing a face mask and successfully authenticating with facial recognition
  • Person Attribute Recognition

    Detect person attributes such as age, gender, and clothing without face recognition. This allows for the search and tracking of specific individuals, such as lost persons or suspicious individuals.

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. For more information on the latest trends in facial recognition applications.

  • Smart Security & Access Control

    smart security ai cctv camera icon
    • Facial recognition access control devices
    • Facial recongition cameras
    • Identify suspicious activity
    • 2D/3D liveness detection
  • Smart Office

    smart facility ai facial recognition factory icon
    • Access control management
    • Employee attendance management
    • Access control to restricted areas
    • Two-factor authentication
  • Smart Finance & eKYC

    smart banking ai facial recognition financial institution icon
    • Digital onboarding eKYC
    • ID card comparison KYC
    • ATM facial recognition withdrawal
    • Anti-spoofing and deepfake video detection

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

  • How to Choose the Best Facial Recognition Solution: 7 Success Factors
    How to Choose the Best Facial Recognition Solution: 7 Success Factors
    Learn more about selecting the best facial recognition solution for your needs
    2024/12/12
  • FaceMe® SDK Retail Case Study - CAC Corporation Integration FaceMe® into POS terminal
    FaceMe® SDK Retail Case Study - CAC Corporation Integration FaceMe® into POS terminal
    Japanese CAC Corporation has implemented FaceMe® AI facial recognition technology for use in its unmanned store " Ministop Pocket".
    2022/10/31
    PDF(0.4MB)
    Download
  • FaceMe SDK Brochure
    FaceMe SDK Brochure
    The World’s Top Cross-Platform AI Facial Recognition Engine
    2025/03/31
    PDF(4.5MB)
    Download

Contact the FaceMe Team