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FaceMe® The World’s Top Cross-Platform AI Facial Recognition Engine
Computex d&i awards 2019

CyberLink is a world leader in facial recognition and face attributes technologies. The deep neural network-based FaceMe® AI facial recognition engine has ranked amongst the fastest, most precise algorithms in the MegaFace Challenge and NIST’s Face Recognition Vendor Test *, with an accuracy rate (True Acceptance Rate) of 98.5% and an error rate (False Accept Rate) as low as 10-6. FaceMe® delivers precision results that are ideal for edge-computing security systems, and person identification solutions as part of smart cities, retail, offices, and homes.

FaceMe® is a powerful AI enabled facial recognition engine with cross platform SDK (Software Development Kit), allowing system integrators and solution providers to easily integrate precise facial recognition and facial attribute detection to their applications. FaceMe® is compatible Windows, Linux, Android and iOS platforms under multiple hardware configurations.

What can FaceMe® Offer?

  • Face Detection

    Generate high-precision face location rectangles from faces detected within an image. Each can be stored for further analysis and referencing.

  • Face Landmarks

    Pinpoint up to 106 high-key facial points, allowing developers to create animated 3D models.

  • Face Recognition

    Quickly identify individuals from a database based on face detection results.

  • Face Attributes

    Analyze face attributes, including age, gender, emotion, and head pose.

Detection Results

1 face has been detected, which got an unique face ID.

{{ctrl.chosenFaceDetect.detectResultList.length - 1}} faces have been detected. Each of them got an unique face ID.

Age
Gender
Emotion
Face pose

Solutions Spotlight

  • Smart City

    Integrate facial recognition and people tracking (face re-identification) technologies with surveillance camera systems, and enhance security monitoring in smart cities.

  • Smart Retail

    Detect gender, age, emotions and head pose to understand customer demographics and behaviors for precision marketing. Moreover, ensure retail workers are notified upon the arrival of VIP customers through facial recognition and people identification.

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  • Smart Office

    Integrate facial recognition to door access systems to securely control and track employee and visitor access to offices and restricted facilities.

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  • Smart Home

    Combine facial recognition and emotion detection for a more personalized and sociable robot in smart homes.

Why CyberLink FaceMe® ?

  • Highly Accurate and Fast

    Internationally Recognized by Renowned Institutions

    Based on a deep neural network, FaceMe has an accuracy rate (TAR, True Acceptance Rate) of 98.5%. FaceMe® ranks amongst the fastest, most precise facial recognition engines in both the MegaFace Challenge and NIST’s Face Recognition Vendor Test (FRVT).

    TrueTheaterTM Enhancement

    CyberLink’s unique TrueTheatherTM visual enhancement technology improves image quality in the pre-processing phase. This alone increases the accuracy rate by 11.65%.
    *Images are taken in 550 Lux environment.

  • Secure Anti-Spoofing

    Multiple methods of anti-spoofing technology 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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  • Optimized for Cross-Platform Solutions

    Built for Windows, Linux, Android, and iOS platforms, FaceMe® is the ideal for cross-platform development solution. Its usage and deployment spans various applications, such as door security systems, digital signage, kiosks, POS systems, and Android/iOS-based apps.

  • Flexible for Edge Devices & Servers

    With flexible settings to control speed, accuracy and CPU processing, FaceMe is optimized for servers and edge computing devices in various scenarios with different hardware configurations.

    To meet the diverse demands of mainstream and high-end AIoT and services, developers can also choose to enable GPU acceleration harnessing OpenVINO™, NVIDIA CUDA, Jetson, ARM, and more to speed up deep-learning algorithms including. With OpenVINO™ acceleration enabled, the speed of FaceMe’s facial recognition is improved by 500%.

* Source:
1. MegaFace Challenge/ FaceScrub Results/ Verification,November, 2018
2. NIST:Ongoing Face Recognition Vendor Test (FRVT), April, 2019
Results shown from NIST do not constitute an endorsement of any particular system, product, service, or company by NIST. Speed ranking is only among the top 20 vendors

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