NFT Asset Fingerprinting for Similar Digital Copy Verification
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Solution Overview
Problem
Existing methods fail to distinguish between original and slightly modified digital assets, leading to potential undetected copies that diminish the perceived uniqueness and value of digital assets.
Innovation Solution
A method involving the generation of an NFT associated with a digital asset by applying transformation and fingerprint methods to highlight its main technical characteristics, allowing detection of exact or slightly modified copies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital assets are stored with full information to maintain integrity and uniqueness, then the authenticity and originality can be verified, but the computational load and storage requirements increase significantly
Solution Approach 1:
The patent extracts only the essential technical characteristics from the complete digital asset data by applying transformation methods. These extracted features form a condensed representation that retains enough information for authenticity verification while dramatically reducing computational requirements for storage and comparison operations.
Solution Approach 2:
The patent transforms the digital asset from its original high-dimensional form into a lower-dimensional feature space through mathematical transformations. This parameter transformation maintains the essential characteristics needed for verification while reducing the complexity and computational burden of subsequent operations.
2Measurement precision
If transformation methods are applied to reduce information to detect copies, then the detection capability improves, but the complexity of the verification process increases
Solution Approach 1:
The patent applies transformation methods in advance to extract and store the essential features of digital assets before verification is needed. This preliminary processing creates a standardized feature representation that simplifies subsequent comparison operations, making the verification process more efficient despite the initial transformation complexity.
Solution Approach 2:
The patent introduces transformation methods as an intermediary step between the original digital asset and the verification process. This intermediary transformation converts complex asset data into a standardized feature space, enabling simpler and more efficient comparison operations while maintaining detection accuracy.
3Reliability
If NFTs store detailed information about digital assets to prove originality, then the uniqueness can be demonstrated, but the risk of undetected similar copies increases
Solution Approach 1:
The patent replaces direct comparison of complete digital asset data with comparison of transformed feature representations. This substitution uses mathematical transformations to convert the verification problem into a more manageable form that maintains sensitivity to similarities while reducing computational complexity.
Data Source
AI summary
A method is proposed for generating an NFT associated with a digital asset. Such method comprises: —obtaining (S410) an initial NFT comprising information identifying the digital asset; —obtaining (S420) transformation information representative of at least one transformation method delivering a transformed digital asset when applied to the digital asset, the transformation method reducing the amount of information present in the digital asset for having the transformed digital asset representative of at least one technical characteristic of the digital asset; —updating (S440) the information of the initial NFT delivering the NFT associated with the digital asset, the updated information comprising the transformation information.