Coating Surface Imaging for Reproducible Defect Characterization
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Solution Overview
Problem
Current methods for evaluating coating surface quality are subjective, time-consuming, and lack reproducibility, making it difficult to predict whether a coating composition will produce an acceptable quality coating on a specific substrate.
Innovation Solution
A method and system for characterizing coating surface defects using a digital image processing program that identifies and quantifies defects, providing a reproducible, objective, and fast evaluation of coating surface quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual assessment by employees is used to evaluate coating surface quality, then human experience and judgment can be applied, but the assessment is subjective, time-consuming, and lacks reproducibility
Solution Approach 1:
The patent replaces the manual visual assessment system with an automated image processing system. A camera captures images of coating surfaces, and computer algorithms automatically analyze these images to detect and classify defects. This substitution eliminates human subjectivity and time constraints while maintaining or improving assessment accuracy through consistent, repeatable measurement criteria.
Solution Approach 2:
The patent creates digital copies (images) of the coating surfaces that can be analyzed without requiring direct human visual inspection. These digital representations allow for repeated analysis, archiving, and comparison, enabling precise measurement of coating quality while significantly reducing the time required for evaluation.
2Reliability
If manual visual assessment is used, then coating surface quality can be evaluated, but the results vary strongly from person to person making comparison difficult
Solution Approach 1:
The patent replaces the variable human assessment system with a standardized automated image processing system. The same camera and analysis algorithms are applied consistently across all coating surfaces, eliminating inter-observer variability. The system uses objective numerical criteria for defect detection and classification, ensuring that assessments are reproducible regardless of who operates or monitors the system.
Solution Approach 2:
The patent transforms the subjective visual assessment into objective quantitative parameters. Defects are characterized by measurable properties such as area, shape, position, and intensity, which are extracted through image processing. These numerical parameters provide a consistent basis for comparison across different coating surfaces and enable reliable quality assessment without the variability inherent in human judgment.
3Productivity
If automated image processing is used to characterize coating surface defects, then assessment becomes reproducible, objective, and fast, but requires digital image processing capability and defect-identification programs
Solution Approach 1:
The patent replaces slow manual assessment with automated image processing, achieving rapid evaluation of coating surfaces. The system captures images with a camera and immediately processes them through algorithms that detect and classify defects, providing results in seconds rather than minutes or hours. This dramatically increases productivity while the required complexity is confined to the processing system, which can be integrated into existing manufacturing workflows.
Data Source
AI summary
A method for qualitative and/or quantitative characterization of a coating surface is provided, comprising:providing a program recognizing coating surface defect types;determining, by the program, whether a camera(s) coupled to the program is within a predefined distance range and/or within a predefined image acquisition angle range relative to a currently presented coating surface;depending on the determination:generating a feedback signal indicative of whether adjustment of the position of the camera(s) is within predefined distance range and/or within the predefined image acquisition angle range; and/orautomatically adjusting the relative distance of the camera and and/or automatically adjusting the angle of the camera;enabling the camera to acquire an image of the coating surface only when the camera(s) is/are within the predefined distance range and/or image acquisition angle range;processing the digital image for recognizing coating surface defects; andoutputting a characterization of the coating surface.