Digital Asset Feature Matching for NFT Ownership Verification
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Solution Overview
Problem
Users face difficulties in identifying and verifying the ownership of digital assets, especially non-fungible tokens (NFTs), due to challenges in finding accurate tokens, determining ownership, and distinguishing between original and copied assets, which complicates purchasing and registration processes.
Innovation Solution
An electronic device equipped with a processor that receives user input, obtains an analysis algorithm, extracts feature data, and communicates with a network to identify and output token information associated with the digital asset, enabling verification of ownership and registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search through various tokens to find the accurate token corresponding to a specific digital asset, then they can verify ownership, but the process becomes time-consuming and difficult
Solution Approach 1:
The patent introduces a search algorithm as an intermediary between the user and the token database. This algorithm automatically extracts feature data from digital assets, queries the blockchain, and returns matching tokens without requiring users to manually search through various tokens. The search algorithm acts as a mediator that handles the complex verification process, significantly reducing user effort and time while maintaining accurate ownership verification.
2Reliability
If users try to determine ownership and purchasing methods for digital assets, then they can make informed decisions, but the complexity of verification increases
Solution Approach 1:
The patent extracts the complex verification logic from the user's perspective and implements it through automated feature extraction and search algorithms. The system extracts feature data from digital assets using predefined algorithms, queries the blockchain for matching tokens, and presents simplified results to users. This extraction of verification complexity into automated system components maintains reliable ownership determination while presenting a simple user interface.
3Adaptability or versatility
If digital assets can be easily copied and changed, then creativity and flexibility are enhanced, but verifying ownership for copied assets becomes difficult
Solution Approach 1:
The patent applies preliminary action by extracting and storing feature data from digital assets before copying or modification occurs. The search algorithm uses these pre-extracted feature data as query parameters to identify and verify ownership of both original and copied assets. This preliminary extraction of identifying characteristics enables accurate verification even when assets are copied or modified, as the feature data remains a unique identifier that can be matched against blockchain records.
Data Source
AI summary
A method of an electronic device, includes: based on a user input for obtaining information on a digital asset being received, receiving, from a first network, an analysis algorithm corresponding to the digital asset; obtaining feature data corresponding to the digital asset based on the received analysis algorithm; transmitting, to the first network, the feature data; receiving, from the first network, token information corresponding to the feature data; and outputting information on the digital asset comprising the received token information.