3D Object Tokenization on Distributed Ledger
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack a comprehensive solution for integrating physical objects into the digital world and leveraging distributed ledger technology, restricting seamless interaction in virtually immersive environments.
Innovation Solution
A system that models objects by generating a three-dimensional (3D) digital twin based on a content dataset and capture event parameters, then tokenizing this data on a distributed ledger to create a non-fungible token (NFT) that embeds metadata, pointers to capture event parameters, and a pointer to the 3D object file.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical objects are integrated into the digital world using traditional systems, then digital representations can be created, but the integration lacks security, transparency, and immutability
Solution Approach 1:
The patent introduces a distributed ledger as an intermediary layer between physical objects and digital representations. This mediator provides the security, transparency, and immutability required for reliable digital twins while maintaining a manageable system architecture through standardized tokenization processes
Solution Approach 2:
The system creates digital copies (tokens) of physical objects that encapsulate their essential characteristics and metadata. These digital twins are stored on the distributed ledger, providing secure and immutable representations without requiring complex integration systems
2Measurement precision
If comprehensive metadata is collected and stored for each object, then authentication and provenance tracking improve, but data storage and processing requirements increase
Solution Approach 1:
The patent extracts and stores only the essential metadata required for authentication and provenance tracking on the distributed ledger, while the actual object data is stored off-chain. This approach maintains high authentication accuracy while minimizing data volume requirements
Solution Approach 2:
The system nests metadata within token structures that reference external data storage locations. This allows comprehensive metadata to be organized and accessed efficiently without increasing on-chain storage requirements, as the token structure contains only essential pointers and attributes
Data Source
AI summary
Systems, methods, and computer-readable storage media to model objects. One method includes receiving, from an application of a user device, a content dataset of an object and capture event parameters of a capture event of the object, generating a three-dimensional (3D) object file based on the content dataset, wherein the 3D object file is a digital twin of the object, corresponding with one or more characteristics of the object, storing the 3D object file and the capture event parameters in a data repository, generating a token including a metadata object based on broadcasting the 3D object file, the content dataset, and the capture event parameters to a distributed ledger, wherein the metadata objects embeds, into the token, the metadata of the object, a pointer to the capture event parameters, and a pointer to the 3D object file, and storing the token at a digital wallet address of a wallet storage.