AI facial recognition engine 'FaceMe SDK' achieves world-class authentication accuracy.

Details of the FaceMe Security 8.3 Update < Revamped UX for Action & Alert Rule Settings > Previously, individual settings were required for each action even under the same rule. By completely overhauling the UI and UX, we have transformed the operation screen to allow for intuitive and efficient configuration. ▶ Key Update Points - Multiple actions (notifications, access control, VMS integration, etc.) can now be configured under a single rule. - The settings screen has been consolidated into a single page, allowing for an overview and editing of the entire configuration at a glance. < Enhanced Integration Features with Face Terminal (Facial Recognition Terminal) > FaceMe Security integrates with the MSK Knoctoi series (Standard/Lite), enabling door opening and closing based on facial recognition results without the need for additional devices. This update allows for detailed configuration of door opening and closing rules based on location, time of day, and groups of individuals, enabling more flexible access management tailored to on-site operations. ▶ Expected Implementation Scenarios - All employees can enter the entrance, while only administrators can enter specific areas at night, etc.

Update of FaceMe Platform 6.4 < New API - Person Attribute Recognition (PAR) > A new API called "Person Attribute Recognition (PAR)" has been added, which can recognize characteristics of individuals based on appearance information other than the face. This allows for the identification of individuals using visual features such as clothing and belongings, even in situations where the face is not visible or difficult to recognize. The following information can be detected: - Age (adult/child) - Gender - Clothing (long sleeve/short sleeve) - Clothing color - Presence of hats or bags < New API - Person Re-Identification (Re-ID) > Another new API, "Person Re-Identification (Re-ID)," can be used to match individuals captured by different cameras and identify the same person. By combining this with the aforementioned Person Attribute Recognition (PAR), it is possible to match the appearance information of a person detected by one camera with footage from another camera, allowing for the identification and tracking of their location and time. This makes it particularly effective for managing wide-area surveillance in places like shopping malls and train stations. Use cases: - Identifying the location of a lost child based on age and clothing information - Tracking suspicious individuals based on gender and belongings information

■Background Yuan Da Bank has adopted CyberLink's online identity verification solution, FaceMe eKYC, in the mobile application process for the "Yuan Da Securities Customer Exclusive Loan Plan" to provide more flexible, convenient, and secure loan services to its securities customers. ■Solution Details This solution integrates technologies for identity document and individual verification (1:1 comparison), authenticity verification of identity documents, fraud prevention, and AI OCR character recognition, enhancing review accuracy and reducing risks associated with forgery and theft, while simplifying and speeding up the application steps. As a result, users no longer need to visit a branch or make phone calls, allowing them to complete the entire application online, enabling loan limits to be established in as little as 15 minutes, significantly improving convenience. ■High-Precision Facial Recognition and Industry-Leading Fraud Prevention Features FaceMe's facial recognition engine achieved an exceptionally high authentication accuracy of 99.83% in the latest FATE test conducted by NIST. Additionally, the fraud prevention feature achieved a 100% fraud detection rate in tests conducted by NIST, earning a top rating and showcasing industry-leading technology.

■Background of Obtaining ISO 27701 Certification CyberLink's AI facial recognition engine, FaceMe, has been continuously strengthening its security management system, in addition to complying with GDPR (General Data Protection Regulation), and aims to obtain the international standard for information security management systems, "ISO/IEC 27001," by 2024. In these efforts, we have aimed to demonstrate a strong commitment to privacy protection and further enhance the reliability of our facial recognition engine by pursuing the acquisition of "ISO/IEC 27701," which establishes requirements for the management and protection of personally identifiable information (PII). ■Proving Commitment to Personal Data Protection with ISO 27701 Certification While ISO 27001 focuses on information security, ISO 27701 emphasizes the protection of users' personal information and compliance with privacy-related laws in various countries. By newly obtaining ISO 27701 certification, it has been recognized by a third-party organization that our company maintains high standards in both privacy protection and information security.