Facial Recognition Payment System for Payee Identification
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Solution Overview
Problem
Current payment transaction systems require manual entry of payee information, which can be inconvenient, especially when users are on the go or lack access to an information entry device, necessitating a more efficient method for identifying and making payments.
Innovation Solution
A system and method utilizing facial recognition to identify payees by analyzing and storing facial profiles of frequently paid individuals, allowing users to make payments by selecting or taking pictures of payees, with the system continuously learning and improving recognition based on user input and transaction history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual entry of payee information is used, then payment transactions can be completed, but user convenience deteriorates when users are on the go or lack access to an information entry device
Solution Approach 1:
The patent replaces the mechanical keyboard input system with an optical recognition system using facial recognition technology. The camera captures facial images and the system automatically identifies payees through pattern recognition algorithms, eliminating the need for manual typing or device interaction.
Solution Approach 2:
The system performs automatic payee identification without requiring user input. The facial recognition system independently captures images, processes them through recognition algorithms, and presents identified payees for selection, making the system self-sufficient in the identification task.
2Productivity
If facial recognition is implemented, then payment transaction speed improves, but system complexity increases due to facial profile storage and recognition mechanisms
Solution Approach 1:
The system performs facial profile creation in advance during setup or initial interactions. Facial profiles are stored in a database before actual payment transactions occur, so during payment the system only needs to perform quick matching against pre-created profiles rather than analyzing raw images from scratch.
Solution Approach 2:
The system creates simplified facial profile representations (feature vectors, landmark coordinates, or compressed image data) that serve as copies of the original facial data. These profiles are stored and used for rapid comparison during transactions, reducing processing complexity.
Data Source
AI summary
A system or method is provided to facilitate a payment transaction by utilizing facial recognition to identify the payee of the payment transaction. In particular, the system may remember a particular list of individuals to which a user has been or are frequently making payments. The facial profiles of the individuals in the particular list may be stored and referenced for identification. When the user is ready to transfer money to any of the frequent payees, the user may use any of the payee's pictures locally, anywhere on social platforms, or just by clicking the person. After the image is selected for payment, the system may analyze the image to match the image with existing face profiles of respective frequent payees. Once the payee is identified, the system may process the payment to the identified payee.