Learning System Using 3D Image Reconstruction for Engagement
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Solution Overview
Problem
Current learning methods lack engagement and interactive elements, making them less effective in encouraging users to focus and learn effectively, especially when involving two-dimensional imaging technologies.
Innovation Solution
A learning system and method utilizing an electronic device with a processor and display unit, combined with a frusto-pyramidal imaging frame, to reconstruct virtual 3D images by refracting image parts through transparent plates, where users can interact with the images and earn scores based on attention duration and correct answers, enhancing engagement and learning experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional two-dimensional imaging technology is used for learning, then the device complexity is low, but the user engagement and learning effectiveness deteriorate
Solution Approach 1:
The patent transforms two-dimensional image data into a three-dimensional virtual image displayed within a physical imaging frame. The processor generates 3D image data from 2D image data, and the imaging frame with transparent plates reconstructs the virtual 3D image in space, allowing users to interact with and observe objects from multiple angles, thereby significantly enhancing user engagement and learning effectiveness
Solution Approach 2:
The patent introduces an imaging frame with transparent plates as an intermediary between the display unit and the user. This imaging frame reconstructs the virtual 3D image by refracting light from the displayed image parts, creating an immersive learning experience that bridges the gap between traditional 2D displays and interactive 3D visualization
2Manufacturing precision
If the imaging frame is designed with precise geometric specifications, then the virtual 3D image reconstruction quality is improved, but the manufacturing precision requirements increase
Solution Approach 1:
The imaging frame is divided into multiple transparent plates (first transparent plate, second transparent plate, third transparent plate, fourth transparent plate), each positioned at specific locations and orientations. This segmentation allows for modular manufacturing and assembly, where each plate can be produced separately with standardized specifications, reducing overall manufacturing complexity while maintaining image reconstruction quality
Solution Approach 2:
The patent specifies precise geometric parameters for the imaging frame components, including the included angle of transparent plates (e.g., 45 degrees) and their positional relationships. By standardizing these parameters, the system achieves consistent 3D image reconstruction quality across different manufacturing batches while simplifying the manufacturing process through parameter standardization
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively encourages users to concentrate on virtual 3D images, providing an engaging learning experience and serving as an evaluation standard for learning outcomes by incorporating interactive elements and scoring mechanisms.
Implementation Method 1
the virtual 3D image of the target object is reconstructed in the inner space by refracting the image parts through the transparent plates, respectively
Data Source
AI summary
A learning method to be implemented by an electronic device including a processor and a display unit and cooperating with an imaging frame includes: storing a set of image data related to a virtual 3D image of an object, and a total score associated with the object; displaying, by the display unit, image parts respectively on display areas that surround a central area according to the set of image data, in a manner that the virtual 3D image of the object is reconstructed in the imaging frame when the imaging frame is placed on the display unit and corresponds to the central area in position; determining, by the processor, whether a time duration for which the display unit displays the image parts is not smaller than a predetermined time duration; and when affirmative, adding, by the processor, a learning score to the total score.