CyberLink is a world leader in facial recognition and face attribute technologies. FaceMe® is a highly accurate AI engine – ranked one of the best in the NIST Face Recognition Vendor Test (VISA and WILD tests). Through constant innovation, we ensure our technology meets the highest accuracy and security standards, for deployments across a wide range of industries and use cases. For over 20 years, CyberLink has built a stellar reputation in the IT industry for its R&D leadership.
FaceMe® is uniquely positioned to integrate edge-based AI facial recognition into a wide range of IoT and AIoT solutions. FaceMe® 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.
FaceMe® provides system integrators with fast, flexible, and precise facial recognition SDK solutions. The convenient interface supports HTTP, C#, and C++ making it both friendly and flexible to deploy FaceMe® across a wide range of scenarios, including: security, access control, public safety, smart retail and home protection.
Generate highly precise location for faces detected in a video stream or image
Extract facial features and identify individuals from a database
Instantly analyze face attributes, including age, gender, mood and head orientation
TrueTheater™ technology improves image quality in pre-processing phase, enhancing accuracy by 11.65%
Provide secure and accurate liveness detection to protect against biometric fraud with 3D and 2D cameras
Identify individuals even if they are wearing a mask and monitor who is wearing a mask or notLearn More
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 the NIST’s Face Recognition Vendor Test (FRVT).
Built for Windows, Linux, Android, and iOS, FaceMe® is ideal for cross-platform solutions. It can be deployed across various applications, such as door security systems, digital signage, kiosks, POS systems, Android/iOS-based apps, and hybrid environments.
With flexible settings to control speed, accuracy and CPU processing, FaceMe® is optimized for servers and edge computing devices in various scenarios and hardware configurations.
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 TrueTheather™ 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 it is a requirement. The feature is so accurate it can also detect if a mask isn't properly covering someone's nose and mouth. A real-time notification can be sent with U Alerts whenever someone is not complying.
FaceMe®'s update algorithm provides the ability to accurately recognize a person's identity, 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.Watch Video
Combining U Alerts with FaceMe® enables automated notifications to mobile devices and PCs. When, for example, a registered visitor or VIP, a person of interest or even an intruder’s face is captured by a camera, U Alerts can send a message with a picture and short video recording to the relevant hosts, employees, or security guards, so they can take immediate action. U Alerts is derived from CyberLink’s U Messenger, a comprehensive business communications solution.
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.