AR Token Metadata Segmentation and Automation
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Solution Overview
Problem
Augmented reality systems face slow adoption due to lack of compelling interactive content and sole-user experiences, preventing groups from simultaneous participation, and distributed ledgers require significant processing resources and energy for maintaining token ownership records.
Innovation Solution
Implementing a multi-user augmented reality environment where users interact with physical components locally while viewing remote interactions, using a separate database for metadata storage to reduce the data load on ledgers, and employing automated visual code generation to quickly and accurately create tokens without manual errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed ledger is used to maintain token ownership records, then security and verification of token ownership is improved, but processing resources and energy consumption increase significantly
Solution Approach 1:
The patent segments the data storage function by separating metadata storage from the distributed ledger. The ledger only stores token identifiers and ownership records, while a separate centralized database stores the large metadata files. This segmentation reduces the data load on the ledger, minimizing processing resources and energy consumption while maintaining security and verification capabilities.
Solution Approach 2:
The patent extracts the metadata storage function from the distributed ledger system. Large metadata files containing token information are stored in a separate centralized database, while only essential ownership records remain on the ledger. This extraction reduces the computational burden on ledger nodes, lowering energy consumption while preserving the integrity of ownership verification.
2Ease of operation
If manual data entry is used to create tokens, then customization and control are improved, but time consumption and error rates increase
Solution Approach 1:
The patent replaces the manual mechanical process of data entry with an automated computational system. A token generation module automatically creates tokens by retrieving data from arrays and generating corresponding metadata files and physical tokens. This substitution dramatically increases productivity while maintaining accuracy through systematic automated processes.
Solution Approach 2:
The system enables self-service token creation through automated processes that generate tokens without human intervention. The token generation module automatically populates token data from predefined arrays, creates metadata files, and produces physical tokens, eliminating the need for manual data entry while ensuring consistency and accuracy across all tokens.
3Adaptability or versatility
If a virtualized environment is implemented, then multi-user interaction and engagement are improved, but system complexity increases
Solution Approach 1:
The patent uses copying to create virtual representations of physical tokens in a digital environment. The augmented reality module generates virtual copies of physical tokens that users can interact with remotely, allowing multiple users to engage with the same token simultaneously. This copying approach enables multi-user interaction without requiring complex physical infrastructure at each user location.
Solution Approach 2:
The patent introduces an augmented reality module as an intermediary between physical tokens and users. This module captures images of physical tokens, generates virtual representations, and displays them through mobile devices, creating a bridge that enables remote multi-user interaction. The intermediary simplifies the system architecture by handling the complexity of virtualization centrally while maintaining simple user interfaces.
Data Source
AI summary
In some aspects, the disclosure is directed to methods and systems for generating an augmented reality environment. An application executing on a computing device may receive a real-time video feed. The application may present the real-time video feed on a display of the computing device. The application may identify an image on a physical token from the real-time video feed. The application may select an animation from a set of one or more animations based on the identified image. The application may add the animation to the real-time video feed at an animation position above the physical token. The application may present the real-time video feed with the added animation.


