Light Control Sheet Optical State Evaluation via Image Analysis
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Solution Overview
Problem
Current evaluation methods for the optical state of light control sheets lack precision and versatility, particularly in determining the optical state and detecting abnormalities in light control sheets used in various applications, such as digital signage and emergency windows, where stability and reproducibility are crucial.
Innovation Solution
A method and device for calculating an evaluation index representing the optical state of light control sheets through image analysis, where an evaluation image is captured and processed using techniques like grayscaling, fast Fourier transform, and frequency analysis to determine the degree of obscuring caused by the light control sheet, allowing for real-time monitoring and correction of the optical state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If haze measurement according to JIS K 7136: 2000 is used to evaluate optical state, then evaluation standard is established, but measurement precision and reliability are insufficient for detecting abnormalities
Solution Approach 1:
The patent replaces traditional mechanical/optical haze measurement instruments with image processing technology. By capturing images through the light control sheet and analyzing them computationally, the system achieves precise optical state evaluation without requiring complex specialized measurement equipment. The image processing approach substitutes physical measurement devices with digital analysis methods.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the light control sheet and the evaluation process. Instead of directly measuring optical properties with complex instruments, the system uses captured images as an intermediate representation to infer the optical state, enabling indirect but accurate measurement through computational analysis.
2Reliability
If multiple evaluation methods are used to improve reliability, then abnormality detection capability is enhanced, but device complexity increases
Solution Approach 1:
The patent merges multiple evaluation approaches into a unified image processing system. By combining color space conversion, histogram analysis, and various image processing techniques into a single integrated system, it achieves reliable abnormality detection without requiring multiple separate devices or methods. The consolidation of functions into one system maintains reliability while reducing overall complexity.
Solution Approach 2:
The patent creates a universal evaluation system that can assess multiple optical properties simultaneously through a single image processing framework. The system can evaluate transparency, opacity, color characteristics, and detect abnormalities all through the same image capture and processing pipeline, eliminating the need for specialized equipment for each measurement type.
3Stability of the object's composition
If real-time monitoring is implemented, then stability control is improved, but processing time and computational load increase
Solution Approach 1:
The patent performs preliminary processing by converting images to grayscale and generating histograms before detailed analysis. These preprocessing steps organize the data in advance, making subsequent abnormality detection and optical state evaluation faster and more efficient. The preliminary organization of image data reduces the computational burden during real-time monitoring.
Solution Approach 2:
The patent extracts only the essential features from captured images for analysis, such as histogram distributions and color space values, rather than processing the entire image data set. By extracting only the relevant characteristics needed for optical state evaluation, the system reduces computational load and processing time while maintaining evaluation accuracy.
Data Source
AI summary
The present disclosure provides an evaluation index calculation device, an evaluation index calculation method, and an evaluation index calculation program which are capable of diversifying an evaluation index representing an optical state of a light control sheet. The evaluation index calculation device acquires an evaluation image of an imaging target in a predetermined environment, captured via a light control sheet, and calculates a degree of obscuring caused by the light control sheet in the evaluation image, as an evaluation index, through image analysis of the evaluation image.