Balancing strict identity verification and non-retention of documents for sharing services.
"ONLINE FACE" Sharing Service: Achieving strict identity verification while not retaining documents. No need to keep identity verification documents.
ONLINE FACE is an identity verification solution that can be utilized during the membership registration process for sharing services. When users upload a government-issued ID such as a driver's license, it automatically matches the face photo, name, date of birth, and other registered information. After the identity verification is successfully completed, the original image of the identification document used for verification is automatically deleted and not retained. This ensures a strict identity verification process while minimizing the risks associated with the retention and leakage of personal information. It balances strict identity verification with a design that does not retain sensitive information.
basic information
■Main Features: Upload a public identification document and match it with registered information such as facial photo, name, and date of birth. After successful identity verification, the original image of the identification document used for verification is automatically deleted and not retained. Necessary information, such as identity verification results, can be designed in accordance with laws and business requirements. ■Applicable Identification Documents: Driver's license, My Number card, passport, residence card, and others. ■Processing Flow: (1) Upload public identification document → (2) Automatic matching with registered information and facial photo → (3) Matching successful (identity verification completed) → (4) Automatic deletion of the original image of the identification document. ■Patent: Patent No. 7063508 (system that does not retain public identification document data after verification). ■Provision Format: System integration/API integration / Provision of identity verification function / License agreements / OEM / Joint development. ■Implementation Process: Understand current situation → Design application → PoC (verification) → Full-scale implementation (staged implementation utilizing existing member base is possible).
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Quotation (We will provide a proposal tailored to the implementation type and scale.)
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Model number/Brand name
ONLINE FACE
Applications/Examples of results
■Assumed Usage Scenario: During member registration for sharing services. While strict identity verification using identification documents is necessary, we envision a business that aims to minimize the risks of personal information retention and leakage by not long-term storing original images after verification. ■Applicable Areas: Car sharing, rental cars, finance and payment, human resources, real estate, accommodation, membership services, sharing services, telecommunications, online contracts, tickets and events, administrative procedures, account opening for web services. ■Implementation Achievements: We have a track record of implementation in environments requiring high reliability related to government, including the digital transformation (DX) of national qualifications and systems overseen by the National Police Agency, Ministry of Land, Infrastructure, Transport and Tourism, and Ministry of Health, Labour and Welfare (approximately 1,200 qualifications and over 1 million participants). ■Related Keywords: Sharing services, identity verification, public identification documents, identity verification documents, identity document verification, facial photo verification, automatic deletion, non-retention of original images, personal information leakage countermeasures, personal information leakage prevention, data minimization, ONLINE FACE. *For more details, please feel free to contact us.
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ONLINE FACE INC. is committed to realizing the super-smart society (Society 5.0) promoted by the government, striving for research and innovation in advanced digital technologies and artificial intelligence (AI), and providing high-value-added products and services for the next generation.