Transparent Display Image Recognition System for Visibility Optimization
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Solution Overview
Problem
Transparent displays face challenges in image recognizability and viewing quality due to background luminance and complexity, which affect the visibility of displayed information.
Innovation Solution
An image recognition system and method that captures background images, identifies candidate sub-areas, processes them to generate display information, calculates color ranking scores, and adjusts display information accordingly to ensure optimal visibility by adding color features if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If information is displayed on a transparent display, then the transparency function is utilized, but the recognizability of display information decreases due to background interference
Solution Approach 1:
The patent applies local quality by analyzing different background regions and assigning different color adjustments to different display areas. The system divides the display area into multiple regions, each with its own background characteristics, and optimizes the color of displayed information locally for each region to ensure recognizability while maintaining transparency.
Solution Approach 2:
The patent changes color parameters (hue, saturation, brightness) of the displayed information based on background conditions. The system calculates color similarity between display information and background, then adjusts color parameters dynamically to maximize contrast and recognizability while preserving the transparent display's transparency function.
2Illumination intensity
If background luminance is high or background color/lines are complex, then transparency is maintained, but image-viewing quality and recognizability are significantly reduced
Solution Approach 1:
The patent dynamically adjusts color parameters of displayed information based on background luminance and complexity. When background luminance is high or complexity is increased, the system modifies hue, saturation, and brightness parameters to ensure the display information remains distinguishable from the background.
Solution Approach 2:
The system implements feedback by continuously evaluating the color similarity between display information and background, then using this evaluation to adjust color parameters. This closed-loop approach ensures that recognizability is maintained under varying background conditions while preserving transparency.
Data Source
AI summary
An information-display method for use in a transparent display is provided. The method includes the steps of: capturing a background image of the transparent display, recognizing a target object from the background image and obtaining candidate background image sub-areas around the target object; processing the candidate background image sub-areas and generating candidate display information corresponding to each background image sub-area; calculating a color ranking score for each piece of candidate display information on each candidate background image sub-area; determining display information and a corresponding background image sub-area; determining whether the color ranking score of the display information satisfies a predetermined condition; if so, directly displaying the display information on the background image sub-area of the transparent display; if not, adding a color feature on the display information, and displaying the display information and the color feature on the background image sub-area of the transparent display.