Automatic Payer Authentication Using BLE Proximity and Facial Recognition
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Solution Overview
Problem
Existing unmanned payment stations require cumbersome authentication processes for customers, such as swiping credit cards and entering IDs, which are inconvenient and inefficient.
Innovation Solution
A system utilizing Near Field Communication (NFC) and facial recognition, combined with Bluetooth proximity, to automatically authenticate customers for hands-free payments, including facial profile generation and verification through a payment service provider.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication methods (credit card swipe, ID entry) are used at unmanned payment stations, then payment security is maintained, but customer convenience and operation speed deteriorate
Solution Approach 1:
The patent replaces mechanical authentication methods (card swiping, manual ID entry) with biometric authentication systems including facial recognition cameras, fingerprint sensors, and iris scanners. This substitution eliminates the need for physical interaction with authentication devices, enabling contactless and automated verification that significantly reduces authentication time while maintaining security.
Solution Approach 2:
The system enables customers to authenticate themselves automatically without requiring assistance from payment station personnel. The biometric authentication process is fully automated, with the system independently capturing biometric data, comparing it against stored profiles, and completing verification without human intervention, thereby improving both convenience and speed.
2Productivity
If biometric authentication systems are implemented, then authentication speed and convenience improve, but system complexity and initial costs increase
Solution Approach 1:
The patent divides the biometric authentication system into separate functional modules: facial recognition module, fingerprint scanning module, iris scanning module, and database management module. Each module performs a specific authentication function and can be independently configured or deactivated based on requirements, allowing the system to scale in complexity according to needs while maintaining high processing speeds.
Solution Approach 2:
The system is designed to support multiple biometric authentication methods (facial recognition, fingerprint, iris) within a single unified platform. This multi-functionality allows the system to accommodate different customer preferences and requirements while using a common infrastructure, thereby managing complexity through standardized architecture rather than requiring separate systems for each authentication method.
Data Source
AI summary
A system or method may be provided to facilitate automatic user authentication for electronic transactions. In particular, the system or method may automatically authenticate a customer such that the customer may make complete hands free payments without the intervention of the customer or the merchant. The automatic authentication may include a check-in process and a payment authentication process. When a customer enters a designated area of a merchant, a BLE beacon device of the merchant may automatically check in the customer at the designated area of the merchant. After the customer is checked in at the merchant's designated area, the merchant may identify the customer who is about to make a payment from a plurality of other customers who also are checked in at the merchant via Bluetooth proximity and facial recognition in parallel. Thus, the customer may automatically be authenticated to make payments by facial recognition or Bluetooth proximity.