Facial Recognition Bill Splitting for Faster Value Transfer
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Solution Overview
Problem
Existing methods for transferring money or making payments require manual input of payment or transfer amounts and recipient information, which can be inconvenient and prone to errors, especially when splitting bills among multiple individuals.
Innovation Solution
A method and device using a two-way camera and touchscreen to facilitate transactions by displaying users or objects, allowing users to swipe between images to initiate transfers or payments, eliminating the need for manual input of information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual input of recipient information and presentation of payment devices is required, then transaction security is maintained, but transaction convenience and speed deteriorate
Solution Approach 1:
The system performs preliminary actions by capturing images of users and objects in advance, storing their identifying features, and pre-establishing account associations. When a transaction is initiated, the system automatically recognizes the users and objects through camera input, retrieves their information from storage, and processes the transaction without requiring manual input of recipient details or presentation of payment devices.
Solution Approach 2:
The system creates visual copies (images) of users and objects, which are then used as identifiers for transaction processing. Instead of requiring physical payment devices or manual entry of information, the system captures and processes transactions based on visual copies obtained through camera input, enabling faster and more convenient transactions.
2Adaptability or versatility
If multiple payment devices are required for splitting bills among multiple individuals, then payment flexibility is improved, but device complexity and operation difficulty increase
Solution Approach 1:
The system merges multiple payment operations into a single unified process. Instead of requiring multiple individuals to present separate payment devices for splitting bills, the system captures images of all users, automatically identifies them, determines their respective payment shares, and processes the split payment through a single transaction flow, reducing complexity while maintaining flexibility.
Solution Approach 2:
The system provides universal functionality for handling various payment scenarios (single payer, multiple payers, bill splitting, direct payments) through a single integrated platform. The same camera-based recognition and automated processing mechanism serves all payment types, eliminating the need for different procedures or multiple payment devices for different payment scenarios.
3Ease of operation
If manual input of recipient information is required, then transaction accuracy is ensured, but ease of operation deteriorates
Solution Approach 1:
The system creates and stores visual copies (images) of users and objects, extracting identifying features from these copies. When processing transactions, the system captures new images, compares them against stored copies, and automatically identifies the correct recipients and payers. This visual copying and matching process eliminates manual input requirements while maintaining high accuracy through image recognition and feature comparison.
Solution Approach 2:
The system implements feedback mechanisms where captured images are compared against stored reference images, and the recognition results are verified before processing transactions. The system provides feedback on identified users and objects, allowing for confirmation or correction, thereby ensuring information accuracy while maintaining operational simplicity through automated recognition.
Data Source
AI summary
A user device includes a display, a camera, and an application. The application is structured to: receive first image data of a first user from a first input of the camera; receive second image data of a second user from a second input of the camera; receive a payment amount of a bill; detect a location of the first user; determine a recommended division of the payment amount of the bill based on the first user, the second user, and the location; receive a first value of the payment amount owed by the first user and a second value of the payment amount owed by the second user; and initiate a transfer of funds from a first user account associated with the first user based on the first value and from a second user account associated with the second user based on the second value.