Transaction Verification System Using Multi-Sensor AI Corroboration
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Solution Overview
Problem
Existing transaction validation systems fail to reliably verify compliance with agreed-upon terms and norms in real-time, particularly in critical scenarios like medication administration and industrial operations, leading to potential errors or losses.
Innovation Solution
A system utilizing sensors, a database, and AI algorithms to analyze data from multiple sources, including human-provided and sensor-generated data, to verify compliance by identifying anomalies and corroborating data from different sensors, and generating alerts for non-compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors and AI algorithms are used to verify compliance, then reliability of transaction verification is improved, but device complexity increases
Solution Approach 1:
The system divides the verification task into multiple independent sensor modules (first sensor, second sensor, third sensor) each capturing specific aspects of the transaction. The AI algorithm then processes these segmented data streams separately before integrating them for final compliance verification, reducing the complexity of any single component while improving overall reliability.
Solution Approach 2:
The patent combines data from multiple sensors and multiple AI algorithms into a unified verification system. The processor integrates information from the first sensor, second sensor, and third sensor, cross-validating their outputs to determine compliance. This merging approach increases reliability through redundancy while managing complexity through centralized processing.
2Measurement precision
If real-time data analysis from multiple sensors is performed, then compliance verification accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary data processing by capturing and pre-processing data from multiple sensors during the transaction execution. The AI algorithm continuously analyzes sensor outputs in real-time, preparing verification decisions ahead of time so that when compliance determination is needed, the analysis is already complete or can be quickly finalized.
Solution Approach 2:
The verification system operates continuously during the transaction, with the processor constantly receiving and analyzing data streams from multiple sensors. This continuous analysis ensures that compliance verification is always current and accurate without requiring periodic interruptions, maintaining both high accuracy and efficient processing time through uninterrupted operation.
Data Source
AI summary
A method and system for validating compliance with the terms of a transaction, includes gathering sensor and human-sourced data and analyzing and grading the data for compliance with each element and with the transaction as a whole.