Augmented Reality Ecosystem for Rights Management
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Solution Overview
Problem
Current augmented reality systems lack a comprehensive ecosystem for fully valuing augmented reality assets and respecting user rights, particularly in transactions and interactions within virtual and physical spaces.
Innovation Solution
An augmented reality aesthetic interface ecosystem that allows users to create, edit, and display augmented reality design elements, blending virtual objects with real-world images in real-time, using a server cluster to manage ownership, display preferences, and viewer profiles, ensuring secure and rights-respecting interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a comprehensive ecosystem for managing augmented reality assets and user rights is implemented, then user rights protection and asset valuation are improved, but system complexity increases
Solution Approach 1:
The system segments AR assets into distinct classes (visual assets, spatial assets, auditory assets, etc.) with specific attributes and rights associated with each class. This segmentation allows for granular management of user rights and asset valuation while maintaining overall system organization and reducing complexity through structured categorization.
Solution Approach 2:
The server acts as an intermediary between users, managing asset registration, rights verification, and transaction coordination. By centralizing these functions on the server, the system protects user rights and ensures proper asset valuation without requiring complex peer-to-peer verification mechanisms, thus reducing overall system complexity.
2Measurement precision
If multiple classes of augmented reality assets with different attributes and rights are managed, then asset valuation accuracy is improved, but data management complexity increases
Solution Approach 1:
Each AR asset class (visual, spatial, auditory, etc.) is assigned specific attributes and rights tailored to its nature. For example, visual assets have display rights and visual attributes, while spatial assets have placement rights and spatial coordinates. This local quality approach enables accurate valuation for each asset type while maintaining a unified management framework.
Solution Approach 2:
The server implements a universal data management structure that handles multiple asset classes through a common interface and framework. Despite the diversity of asset types and their specific attributes, the server provides unified registration, validation, and transaction management, reducing data management complexity through standardized processes.
3Adaptability or versatility
If real-time blending of virtual objects with real-world images is performed, then immersive experience is improved, but processing speed requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing AR assets in optimized formats with pre-calculated spatial relationships and blending parameters. When AR experiences are executed, the server quickly retrieves pre-processed assets and applies them to real-world images, reducing real-time processing requirements while maintaining high immersive quality.
Data Source
AI summary
A method for generating a ruled augmented reality platform and associated ecosystem to allow the expressive power of augmented reality to be lived as an overlay onto the physical world and be experienced by a plurality of users in any physical space according to rules. The ecosystem allows for the democratization and facilitation of publishing and adorning via AR to an open platform where users can create, edit, own, view, buy, sell etc. a plurality of unique augmented reality virtual objects and aesthetic or utilitarian design elements. Further, the method allows for simultaneously and specifically managing displaying of design elements in the augmented reality space according to rules which reflect rights, regulations and preferences for displaying these design elements to the users within the confines of a geolocation.