Biometric Age Verification vs. Age Estimation: A Technical Explainer
Blog post from Didit
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Biometric age verification and age estimation are two distinct methods used to determine a user's age, each with specific applications and regulatory implications. Age estimation employs AI and machine learning to quickly assess an approximate age from a selfie without requiring sensitive personal information, making it suitable for low-risk scenarios where legal proof of age is not necessary. In contrast, biometric age verification provides a definitive age confirmation by linking a live individual to their government-issued ID, meeting stringent regulatory requirements for age-restricted services. Didit's FSM-certified biometric age verification method includes identity document capture, biometric face matching with liveness checks, and streamlined re-authentication, ensuring compliance and security. Platforms may benefit from using both methods in tandem, employing age estimation for initial low-friction screening and transitioning to biometric verification when legal proof of age is required, thereby balancing user experience with compliance needs.
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