Multi-Mode Payment Control With Crypto Validation Feedback
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Solution Overview
Problem
Users often need to carry multiple payment devices (debit, credit, and cryptocurrency) for different transactions, and conventional systems do not provide real-time environmental impact analysis of purchases, leading to inefficient and uninformed decision-making.
Innovation Solution
A multi-functionality payment device with selectable debit, credit, and cryptocurrency options, integrated with machine learning for real-time environmental impact analysis and blockchain validation, providing recommendations based on transaction data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users carry multiple payment devices (debit card, credit card, cryptocurrency device) to support different transaction types, then payment versatility is improved, but device complexity and user burden increase
Solution Approach 1:
The patent combines multiple payment functionalities (debit card, credit card, cryptocurrency processing) into a single multi-function payment device. The device includes multiple selectable options that allow users to switch between different payment modes, eliminating the need to carry multiple separate payment devices while maintaining full payment versatility.
Solution Approach 2:
The payment device is designed with universal functionality to handle various transaction types through a single device. It includes debit option, credit option, and cryptocurrency option, allowing one device to perform multiple payment functions that previously required separate devices.
2Loss of information
If conventional payment systems are used without environmental impact analysis, then transaction processing simplicity is maintained, but information completeness for informed decision-making deteriorates
Solution Approach 1:
The system incorporates environmental impact analysis that provides feedback to users about the environmental consequences of their transactions. The machine learning model evaluates transaction data and generates environmental impact scores, which are then communicated back to users to inform their payment decisions.
Solution Approach 2:
The system performs environmental impact analysis in advance of the user's decision-making process. The machine learning model pre-evaluates potential transactions based on historical data and transaction patterns, preparing environmental impact information before the user needs to make a payment decision.
3Adaptability or versatility
If cryptocurrency transaction processing is added to conventional payment devices, then payment versatility is improved, but operational complexity and user difficulty increase
Solution Approach 1:
The system acts as an intermediary between the user and the complex cryptocurrency processing infrastructure. The multi-function payment device handles the complexity of cryptocurrency transactions internally, presenting a simplified interface to users that resembles conventional payment methods while managing blockchain validation and cryptocurrency processing in the background.
Data Source
AI summary
Arrangements for providing multi-functionality device control functions are provided. In some aspects, a request for transaction may be received by a computing platform. The request may include transaction details including selection of a mode of processing, received from a payment device. The computing platform may determine whether the selected mode of payment is crypto currency. If so, the transaction details may be transmitted to a peer-to-peer network for validation of the transaction. If the transaction is validated, a new block, corresponding to the validated transaction, may be generated and added to a blockchain and the transaction may be processed. In some examples, additional details of the transaction may be received and the additional details and the transaction details may be input to a machine learning model. Upon execution of the model, an environmental impact score associated with the transaction and a recommendation may be determined and transmitted to the user.


