Transparent Display Purity Evaluation System
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Solution Overview
Problem
Current methods for evaluating the quality of transparent displays are inadequate, as existing standards like haze and clarity do not accurately assess the display's ability to present video information and background scenes simultaneously, leading to difficulties in selecting suitable displays for various applications.
Innovation Solution
A new evaluation system and method using a purity metric, calculated by measuring luminance through a circle white and black pattern, which accounts for diffraction and scattering effects, providing a standard that accurately reflects the transparent display's quality in presenting both video information and background scenes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing evaluation standards (haze and clarity) are used, then measurement can be performed, but the evaluation does not accurately reflect the display's ability to present video information and background scenes simultaneously
Solution Approach 1:
The patent introduces a new evaluation parameter called 'purity' that specifically measures the display's ability to present both video information and background scenes simultaneously. This parameter change addresses the inadequacy of existing standards by focusing on the dual-functionality requirement of transparent displays, thereby improving measurement precision for the specific application scenario.
Solution Approach 2:
The patent employs a standardized test setup with specific patterns (circle white pattern, full white pattern, full black pattern) and measurement conditions as intermediaries to objectively evaluate display quality. This intermediary measurement system bridges the gap between subjective user experience and objective quantification, enabling accurate assessment of the display's dual-presentation capability.
2Measurement precision
If a new purity metric is introduced to accurately evaluate transparent display quality, then evaluation accuracy improves, but measurement and calculation complexity increases
Solution Approach 1:
The patent segments the evaluation process into distinct measurement steps: measuring luminance of the circle white pattern, measuring luminance of full white/black patterns, calculating purity using a specific formula, and comparing against reference values. This segmentation breaks down the complex purity metric evaluation into manageable, standardized steps, reducing operational complexity while maintaining high measurement precision.
Solution Approach 2:
The patent defines purity as a specific parameter calculated from luminance measurements using a standardized formula. By transforming the abstract concept of 'display quality' into a concrete, calculable parameter with clear measurement procedures, the patent achieves high evaluation accuracy without excessive complexity, as the parameter change provides a focused measurement target.
3Ease of operation
If existing evaluation methods are used, then the process is simple, but they fail to differentiate display qualities that matter to users viewing background scenes through the display
Solution Approach 1:
The patent changes the evaluation parameter from general optical properties (haze, clarity) to a application-specific parameter (purity) that directly measures the display's ability to maintain background scene visibility while presenting video information. This parameter change enables differentiation of display qualities that matter to users without significantly complicating the measurement process.
Solution Approach 2:
The patent creates a self-contained evaluation system where the purity metric and its measurement procedure are fully defined within the standard. The system serves itself by providing both the measurement methodology and the evaluation criterion, eliminating the need for external or subjective assessment while maintaining ease of operation through standardized procedures.
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 purity metric effectively assesses the transparent display's ability to present clear video information and background scenes, offering a standardized evaluation that is proportional to the observer's experience, unlike previous methods which failed to accurately differentiate display qualities.
Implementation Method 1
which accounts for diffraction and scattering effects
Implementation Method 2
which accounts for diffraction and scattering effects
Data Source
AI summary
A system for evaluating a quality of a transparent display, the system including: a background including any one of a full white pattern, a full black pattern, and a circle white pattern; a light detector positioned a first distance away from the background to measure luminance of the full white pattern, the full black pattern and the circle white pattern; and a circle transparent pattern displayed on the transparent display by passing light from at least one of the full white pattern, the full black pattern and the circle white pattern, further the transparent display is positioned between the background and the light detector and at a second distance away from the light detector, further a purity of the transparent display is calculated based on luminance of the full white pattern, the full black pattern, and the circle white pattern as measured by the light detector through the transparent display.