Face Recognition Web API Server FaceMe Platform

**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: - Compatible with Windows / Ubuntu x64 / Android - 2D cameras, 3D depth cameras, and IR + RGB cameras can be used through a single interface - Significantly reduces development burden while maintaining high-accuracy authentication

In the latest "Age Estimation Evaluation Test" conducted by NIST, the AI facial recognition engine "FaceMe" ranked 5th in the world. 【What is the NIST FATE Age Estimation Evaluation Test?】 The NIST FATE Age Estimation Evaluation Test is one of the international benchmarks for facial analysis technology conducted by the National Institute of Standards and Technology (NIST) in the United States, which evaluates the age estimation accuracy of AI algorithms using a large-scale facial image dataset. 【Evaluation Results of FaceMe】 - World Ranking: 5th Among 20 vendors worldwide, FaceMe ranked 5th, demonstrating top-class accuracy in an international competitive environment. - Mean Absolute Error (MAE): 2.87 years FaceMe's average error in estimated age is 2.87 years, with only a 0.35-year difference from the top-ranked algorithm, achieving world-class accuracy. *MAE (Mean Absolute Error): A numerical representation of the error in estimated age (the smaller the number, the higher the accuracy). *NIST conducted the evaluation using 1 million facial images of individuals aged 18 to 30.

In the Hanwha Vision showroom, only registered individuals can enter through high-precision facial recognition by FaceMe Security, achieving a strict access control system with a high level of security. ▶ Background and Details CyberLink and Hanwha Vision formed a partnership in 2023 to promote the seamless integration of the AI facial recognition security system "FaceMe Security" with Hanwha Vision's video management system "Wisenet WAVE," aiming to provide a multifunctional and advanced security system. With the opening of the Hanwha Vision showroom, a system for managing entry and exit that integrates Hanwha Vision's AI cameras with FaceMe Security has been implemented as a place to experience the technologies of both companies firsthand. - Authentication Camera: Hanwha Vision AI IR Wall Mount Camera (5MP AI IR Wall Mount Camera) - Facial Recognition System: CyberLink FaceMe Security - Main Features: Real-time detection of registered individuals' faces and automatic opening and closing of doors.

Details of the FaceMe Security 8.3 Update < Revamped UX for Action & Alert Rule Settings > Previously, individual settings were required for each action even within 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 set within 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.