サイバーリンク List of News Articles

In this update, we have enabled 1:N facial recognition on compatible Axis cameras, eliminating the need for a video analysis workstation in the system configuration. Additionally, we have added new features such as centralized management across multiple locations using AWS cloud, as well as access control and attendance management. 【Main New Features】 ■ 1:N Facial Recognition on Axis Cameras Facial detection to facial recognition can be performed on compatible Axis cameras equipped with ARTPEC-9. This allows for a system configuration that does not require a GPU workstation, contributing to reduced installation and maintenance costs. ■ Centralized Management via AWS Cloud Personal information and authentication history are centrally managed in the cloud. This streamlines operations across multiple locations, such as retail stores and factories. ■ Integration with AI Agents Supports searching and summarizing facial recognition events using natural language, aiding in the efficiency of security operations. ■ Utilization for Access Control and BCP Measures Records of entry and exit through Face Terminal, as well as confirmation of attendees and their duration of stay. This can be used for visitor management in factories and data centers, as well as for confirming presence during emergencies.

■ 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.

■ FaceMe Security "Visitor Access Management" Main Features and Characteristics < Set Access Period for Each Visitor > - Individual settings for the dates and times visitors can enter - Access periods can be optimized according to the visitor's situation, whether for short visits or long stays. < Two Types of Authentication Methods to Accommodate Various Scenarios > ▶ Authentication via IP Camera - Enables authentication from a distance, achieving facial recognition without the need to disembark. ▶ Authentication via Facial Recognition Device (tablets, etc.) - Ideal for entry scenes such as reception or security posts. Can be flexibly utilized depending on the installation location and operation. - Allows for on-the-spot registration of facial information using the device, enabling smooth responses to sudden visits or unexpected guests. < Real-Time Notifications Supporting Security and Reception Operations > - Real-time notifications of visitor and employee classifications, authorization expiration, and authentication status. - Prevents delays and oversights in verification, balancing the reduction of security staff workload with enhanced security. These features resolve issues arising from visual checks, logbooks, and IC card operations, simultaneously achieving enhanced security and improved efficiency in reception and security operations.

**Improvement of Spoofing Prevention Accuracy and Performance** With FaceMe SDK 7.8, we enhance measures against increasingly sophisticated spoofing attacks by improving authentication accuracy and processing speed, thereby increasing the safety and reliability of facial recognition. - IR + RGB Spoofing Prevention: Detection accuracy improved by up to 35%, processing speed improved by up to 15% - 3D Spoofing Prevention: Detection accuracy improved by up to 56.8% for Intel RealSense D415 **Reducing Development Burden with the New Integrated API "FaceMe Authenticator"** We have integrated multiple processes that previously required individual implementation into a single API. Integrated Functions: - Face Detection + Feature Point Extraction + Spoofing Prevention + Authentication Processing Features: - Supports Windows / Ubuntu x64 / Android - Allows use of 2D cameras, 3D depth cameras, and IR + RGB cameras through a single interface - Significantly reduces development load while maintaining high-accuracy authentication