Optical Tone Payment Tokens via Spiking Neural Networks

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Solution Overview

Problem

Current digital payment systems face challenges in security, flexibility, customization, parental control, interoperability, environmental impact, and inefficient transaction validation, with a lack of robust integration of blockchain technology and user-friendly applications.

Innovation Solution

A system utilizing optical tones, neuromorphic computing, and blockchain technology for secure, flexible, and customizable transactions, employing Convolutional Neural Networks for facial recognition, Spiking Neural Networks for data processing, and smart contracts for automated transaction execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional authentication methods are used, then the system is simple to implement, but security against sophisticated cyber threats is insufficient

Engineering Contradiction:
ImprovesecurityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines multiple authentication technologies (biometric recognition, behavioral analysis, device fingerprinting, location verification) into a composite authentication system. This multi-layered approach integrates different security mechanisms that work together to provide robust protection against sophisticated cyber threats while maintaining manageable system complexity through modular architecture.

Inventive Principle:
Principle #40Composite materials

2Adaptability or versatility

If rigid payment structures are used, then the system is easy to manage, but flexibility for ad hoc and variable payments is limited

Engineering Contradiction:
Improvepayment flexibilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic payment structures that allow users to create flexible payment plans with variable amounts, frequencies, and conditions. The system adapts to different payment scenarios (recurring payments, one-time payments, split payments) through programmable smart contracts that can be customized without requiring complex manual configuration, achieving both flexibility and ease of management.

Inventive Principle:
Principle #15Dynamics

3Productivity

If manual transaction validation is used, then the system is simple to operate, but transaction processing speed is slow

Engineering Contradiction:
Improvetransaction validation speedVSAvoidvalidation system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual transaction validation with automated validation systems using machine learning models and smart contracts. These systems automatically verify transaction authenticity, check compliance with payment terms, and execute payments without human intervention, dramatically increasing processing speed while the modular architecture keeps system complexity manageable.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Reliability

If physical payment instruments are used, then the system is simple to understand, but environmental impact is negative and security is compromised

Engineering Contradiction:
ImprovesecurityVSAvoiddigital system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces physical payment instruments (cash, cards) with digital payment tokens and cryptographic authentication mechanisms. This substitution eliminates the environmental impact of producing and disposing of physical instruments while providing enhanced security through cryptographic protection and multi-factor authentication, making the digital system both secure and environmentally sustainable.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250328876A1Custom Payment Tokens for Payments by Using Optical Tones and Neuromorphic Spiking Neural Networks
Publication Date: 2025.10.23 BANK OF AMERICA CORP
  • US20250328876A1 patent drawing
  • US20250328876A1 patent drawing
  • US20250328876A1 patent drawing

AI summary

Digital payment systems and methods leveraging optical tones, blockchain technology, and neuromorphic computing to enhance transaction security and flexibility are disclosed. By initiating transactions with unique optical tones generated through mobile IoT applications, payment instructions are encoded into visually encrypted signals, ensuring high security from the outset. Multi-Factor Authentication (MFA), including advanced facial recognition via Convolutional Neural Networks (CNNs), authenticates users, while Spiking Neural Networks (SNNs) process and filter the optical tones, focusing on pertinent transaction details. The system utilizes blockchain oracles and smart contracts for validating transactions and automating the execution of payment instructions, respectively. A novel aspect of this invention is the ability to generate custom payment tokens, either embedded within optical tones or as separate entities, to facilitate specific transactions. This approach not only significantly enhances the security of digital payments but also introduces unprecedented flexibility in managing financial transactions, setting spending limits, and executing recurring payments.