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ONLINE FACE is an AI-powered identity verification infrastructure designed to ensure trust and integrity in digital education.
Guided by the concept "Design the Next Learning," the system redefines how education is delivered, verified, and trusted in a digital society.
As online learning expands globally, maintaining fairness and authenticity in certification and training systems has become a critical challenge. Conventional e-learning platforms rely on static ID and password authentication, making it difficult to confirm whether the actual user is present and properly engaged.
ONLINE FACE addresses this issue through patented technologies developed across Japan, the United States, Taiwan, and other regions. It integrates facial recognition, multi-device synchronization, and randomized AI authentication, which continuously verifies user identity at unpredictable intervals. This prevents impersonation, inattentive participation, and fraudulent behavior during sessions.
The system is actively implemented in legally required national training programs under Japanese government authorities, including the National Police Agency, Ministry of Land, Infrastructure, Transport and Tourism, and Ministry of Health, Labour and Welfare. These applications include driver's license education, instructor certification, and various safety and compliance training programs.
Additionally, the platform features a patented identity registration process that securely matches facial data with official identification documents, automatically discarding sensitive data after verification. Upon completion, tamper-proof digital certificates are issued using blockchain-based authentication, ensuring credibility and traceability.
By achieving in-person level reliability within a fully digital environment, ONLINE FACE establishes a new standard for online education and positions itself as a next-generation social infrastructure for secure and scalable learning.
Credits
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Schumanndesign
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Architectural Design - Conceptual
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