Authenticity Service Using Augmented Intelligence
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Solution Overview
Problem
Existing authenticity services are inefficient and time-consuming, particularly in the digital age where quick online transactions are expected, and there is a need to effectively utilize vast amounts of online data for authenticity analysis.
Innovation Solution
A system utilizing augmented intelligence and machine learning to analyze digital or physically represented assets for authenticity, incorporating user inputs and external data sources to determine the asset's authenticity and provide a confidence score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If authenticity services are performed in person, then measurement precision and reliability are improved, but time consumption and operational complexity increase
Solution Approach 1:
The patent replaces the mechanical/in-person authenticity verification process with an automated digital system that uses machine learning models, image processing algorithms, and database queries to determine asset authenticity, eliminating the need for physical presence while maintaining verification accuracy
Solution Approach 2:
The system creates and analyzes digital copies of physical assets through image capture and data extraction, allowing authenticity verification without handling the actual physical asset, thus reducing time consumption while maintaining measurement precision through digital analysis
2Measurement precision
If more data is collected for authenticity analysis, then measurement precision is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent divides the authenticity verification process into separate modular components: image capture module, data extraction module, machine learning analysis module, and database query module, allowing systematic processing of multiple data types without overwhelming complexity
Solution Approach 2:
The system introduces a machine learning model as an intermediary that processes and synthesizes multiple data sources (images, metadata, database records) into a unified authenticity determination, simplifying the complexity of analyzing diverse data types
Data Source
AI summary
A system for determining an authenticity of an asset includes one or more hardware processors. The system also includes a non-transitory memory, the non-transitory memory storing instructions that, when executed by the one or hardware processors, causes the one or more hardware processors to perform actions. The actions include receiving an asset, wherein the asset includes a digital asset or a digital representation of a physical asset. The actions also include receiving an input related to the asset to assist in determining the authenticity of the asset. The actions further include utilizing an augmented intelligence module to analyze the asset and to determine the authenticity of the asset based on the analysis of the asset and the received input.