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

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 a person's characteristics from appearance information other than the face. This allows for the identification of individuals based on external 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 movement and time. This makes it particularly effective for efficiently 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 text recognition. It enhances review accuracy, reduces risks associated with forgery and theft, and simplifies and speeds up the application process. 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," in 2024. As part of these efforts, we have aimed to obtain "ISO/IEC 27701," which sets requirements for the management and protection of personally identifiable information (PII), to demonstrate our strong commitment to privacy protection and further enhance the trust in our facial recognition engine. ■Proving Our Commitment to Personal Information 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.

< Update of FaceMe SDK 7.2 > ▶ Improved performance of anti-spoofing features ✓ Processing speed of 2D anti-spoofing features increased by up to 3 times ・Maintains detection accuracy of anti-spoofing features using RGB cameras on PCs, smartphones, and tablets while increasing processing speed by up to 3 times. ✓ Detection accuracy of IR + RGB anti-spoofing features improved by 67%, with processing speed increased by 2.3 times ・Ensures high detection accuracy even in environments susceptible to external light. ・Target devices: Miyakawa Manufacturing Knoctoi Lite, Union UBio-X Pro ▶ Major update to deepfake detection capabilities ✓ Detection accuracy of deepfakes increased to a maximum of 95.5% ・Adopts a newly trained DNN AI model ・Sets two levels of accuracy models: Standard / Fast ▶ Added functionality to detect attributes and clothing from appearance information ✓ Added functionality to detect age, gender, clothing, etc., from appearance information other than the face ・Enables acquisition of attribute information usable for marketing statistics, even in cases where face information is difficult to obtain.