サイバーリンク Company Overview

■ Details of Injection Attack Detection (IAD) < Protecting the Data Path from Image Capture to Face Recognition Engine > By monitoring the data path from the capture of facial images to the authentication process, we enhance the security of identity verification using smartphones and other devices by detecting attacks that inject counterfeit data by bypassing the camera module. < Protecting Each Layer of Applications, OS, and Camera > The injection attack detection of FaceMe SDK checks the status of each layer that constitutes identity verification and detects the following types of fraud and risks: - Detection of spoofing using virtual cameras and camera API hooks - Integrity verification of applications and FaceMe SDK - Measures against tampering, debugging, and analysis of applications - Detection of rooted Android devices and jailbroken iOS devices - Detection of execution in emulators and virtual environments - Continuous monitoring of device status in the background

■ Details of the FaceMe Security 8.9 Update 1. Optimized Flow for Face Image Registration Administrators can now send notifications for face image registration to the individuals being registered when entering user information. These individuals can access the registration page using the URL or QR code provided in the notification from their smartphones and follow the on-screen instructions to register their own face images. Key Features - Registration notifications via URL and QR code - Automated quality checks for face images - Support for approval and reshoot request flow by administrators - Support for bulk invitations via CSV 2. Support for Two-Factor Authentication with "Card + Face" The YouMe 500 facial recognition device from GIS now supports two-factor authentication (2FA) using "Card + Face." By combining card authentication with facial recognition, it reduces the risks of lending and fraudulent use that are difficult to prevent with card-only systems, enabling safer access control. This feature is suitable for use in high-security environments, including access control to critical areas, factories, research facilities, and data centers.

This time, the ACS-5000 is available as a facial recognition terminal compatible with FaceMe Security's add-on feature "Face Terminal," enabling access control management that combines "advanced anti-spoofing features" with high-speed facial recognition powered by edge AI. ■ Main Features 1. Accelerated Authentication Processing FaceMe Security is optimized for the MediaTek Genio 700's NPU, achieving faster facial recognition processing and reduced CPU load compared to processing solely on the CPU. It ensures stable authentication without delays even during peak times such as clocking in and out, contributing to alleviating congestion. 2. Advanced "Anti-Spoofing" Optimized for the IR + RGB camera mounted on the ACS-5000, it can quickly detect fraudulent authentication using photos, videos, or 3D masks within 0.6 seconds, ensuring reliable identity verification. 3. Door Control Without Additional Equipment FaceMe Security can directly control the digital I/O of the ACS-5000, allowing for the construction of an access control management system without the need for additional equipment. This simplifies system configuration and reduces implementation costs.