Face Recognition Web API Server FaceMe Platform

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.

Taskal Time-Card is a cloud-based attendance management system that allows clocking in and out using facial recognition simply by installing an app on an iPad or smartphone, currently providing services to over 1,000 companies. Taskal Time-Card previously used facial recognition APIs from other companies, but by switching to CyberLink's FaceMe Platform, the accuracy and speed of facial recognition have significantly improved. 【 Features of the Facial Recognition Attendance Management System "Taskal Time-Card" 】 < Hands-free clocking in and out with facial recognition > ■ Just by looking at the screen, clocking in is completed in about 0.5 seconds, achieving stress-free authentication. < Easy to implement > ■ No specialized equipment is required; you can start using it simply by downloading the app on an iPad. < Supports remote work and telecommuting > ■ Employees can clock in from anywhere using facial recognition by simply downloading the app on their smartphones. < Multifunctional yet easy to operate > ■ With simple and versatile features such as clocking in and out, attendance management, paid leave management, application approval, and alert notifications, it has an easy-to-understand interface that anyone can operate easily.