Facial Template Verification for Secure Hands-Free Transactions
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Solution Overview
Problem
Current transaction systems do not adequately prevent illegitimate users from updating biometric information associated with user payment accounts, compromising the security of hands-free transactions.
Innovation Solution
A method and system for processing hands-free transactions using facial recognition, where a user's facial template is generated and associated with their account, and subsequent updates are verified by comparing new facial images against the existing template, ensuring that only authorized changes are made, thereby maintaining account security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If biometric information is allowed to be updated freely for hands-free transactions, then ease of operation is improved, but security is worsened
Solution Approach 1:
The system performs preliminary comparison of the new biometric data against the existing template before allowing any update. The facial recognition system generates a new template from the submitted image and compares it with the stored template to verify identity match, ensuring the user is authorized before permitting the update operation.
Solution Approach 2:
The system provides feedback by comparing the new biometric submission against the existing template and only permits updates when the comparison confirms identity authenticity. The system evaluates whether the new facial template matches the existing one and provides conditional approval based on this feedback, preventing unauthorized changes.
2Productivity
If facial recognition is implemented for hands-free transactions, then productivity is improved, but device complexity is worsened
Solution Approach 1:
The system creates a simplified digital copy (facial template) of the user's biometric data and stores it for quick comparison during transactions. Instead of performing complex real-time facial analysis during each transaction, the system uses the pre-generated template for rapid matching, significantly improving transaction speed while maintaining security.
Solution Approach 2:
The facial template is generated and stored in advance during account setup or first transaction. This preliminary action eliminates the need for complex real-time facial recognition processing during subsequent transactions, as the system only needs to compare against the pre-existing template, thereby improving productivity without adding ongoing complexity.
Data Source
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AI summary
An account management system establishes a facial template for a user based on an image. The user computing device, signed into a payment application at the merchant location, receives an identifier from a merchant beacon device to transmit to the account management system, which transmits payment tokens based on payment account data and facial templates to the merchant POS device for each user signed in at the merchant location. The merchant POS device identifies the user by comparing a captured image of the user against the received facial templates and transmits the payment token to an issuer system. At a later time, the account management system receives, from a user computing device, a subsequent user image and generates a subsequent facial template. If the difference of the subsequent facial template is less than a threshold from the existing facial template, the subsequent facial template is associated with the user account.