NFT Object Sensing and Virtual Image Display System
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Solution Overview
Problem
Current NFT information systems lack reliability in providing accurate and real-time NFT information in virtual and augmented reality environments, as they fail to effectively integrate NFT object sensing and information retrieval with virtual image display.
Innovation Solution
A system comprising a first server for generating virtual images, a second server for storing NFT information, and a display device that communicates with both servers, utilizing a sensing unit, image comparison processor, and display unit to concurrently display virtual images and NFT information, including AI models like deep neural networks for image comparison and real-time data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If NFT information is integrated with virtual image display in real-time, then user experience and information accuracy are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system is divided into distinct functional modules: a sensing unit for detecting NFT objects, a comparison unit with image comparison processor for matching objects with NFT information, a first server for generating virtual images, a second server for storing NFT information, and a display unit for concurrent display. This segmentation allows each component to specialize in specific tasks, improving overall system reliability while managing complexity through modular architecture.
Solution Approach 2:
The comparison unit acts as an intermediary between the sensing unit and the display unit, mediating the matching process between physical NFT objects and their digital information. The image comparison processor within the comparison unit serves as a mediator to verify object-NFT correspondence, ensuring information accuracy without requiring the entire system to handle all processing tasks simultaneously.
2Measurement precision
If image comparison algorithm is used to determine NFT information, then object identification accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
NFT information including original images is pre-stored in the second server before runtime operations. The system performs preliminary organization and categorization of NFT data, allowing the comparison unit to quickly retrieve and match information without performing complex computations during real-time object identification, thus reducing processing time while maintaining accuracy.
Solution Approach 2:
The system uses image comparison algorithms that work with copied or represented image data rather than performing exhaustive analysis of original high-resolution images. The comparison unit compares sensed object images with stored NFT images using efficient comparison techniques, achieving accurate identification with reduced computational overhead and faster processing speeds.
3Loss of information
If NFT information is constantly displayed, then information availability is improved, but user distraction and immersion in virtual environment deteriorate
Solution Approach 1:
The display unit dynamically adjusts NFT information display based on user interaction and system state. NFT information can be displayed in different modes: constantly visible, on-demand when objects are selected, or hidden when not needed. This dynamic display approach ensures information is available when required while minimizing distractions during immersive virtual reality experiences, allowing users to switch between full immersion and information retrieval as needed.
Data Source
AI summary
A non-fungible token (NFT) information providing system includes: a first server configured to generate a virtual image, a second server configured to store NFT information, and a display device configured to communicate with the first server and the second server. The display device includes a sensing unit configured to sense an NFT object, a comparison unit including an image comparison processor and configured to determine the NFT information corresponding to the NFT object, from the second server using image comparison algorithm implemented by the image comparison processor, and a display unit configured to display the virtual image and the NFT information.