Portable Coating Test Analysis System Using Image Comparison
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Solution Overview
Problem
Current methods for evaluating coating adhesion and tensile strength are subjective and time-consuming, leading to inconsistent results due to reliance on visual estimation, which can significantly impact product acceptance or rejection, especially when readings are near classification limits.
Innovation Solution
A portable electronic system with a camera, memory, processor, and display, equipped with a hood and lamp, captures and compares images of a test surface to accurately determine the percentage of coating removed, providing a quick and consistent measure by selecting appropriate testing standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visual estimation method is used to classify coating removal, then the testing process remains simple and quick, but measurement precision and consistency deteriorate significantly
Solution Approach 1:
The patent replaces the manual visual estimation method with an automated image processing system. A camera captures images of the test surface, and image analysis software automatically measures the coating removal percentage by comparing pixel values and areas, eliminating human subjectivity while maintaining quick testing throughput.
Solution Approach 2:
The patent creates a digital copy (image) of the test surface and analyzes it computationally. By capturing the visual information and processing it through algorithms that compare pre-test and post-test images, the system achieves precise measurement without physically measuring each pixel manually.
2Device complexity
If manual visual classification is used, then device complexity is low, but reliability of test results deteriorates due to technician variability
Solution Approach 1:
The patent replaces the human eye and manual classification process with an automated image analysis system. The camera captures objective visual data, and computational algorithms consistently measure coating removal percentages, eliminating technician variability and improving result reliability while keeping the device relatively simple.
Solution Approach 2:
The system provides objective, quantifiable feedback by calculating specific percentage values for coating removal. The image analysis software processes visual information and returns precise numerical results that can be directly compared against acceptance criteria, eliminating subjective judgment.
3Measurement precision
If quantitative image analysis is implemented, then measurement precision improves, but device complexity and setup requirements increase
Solution Approach 1:
The patent uses a standard camera and image processing software that can be applied to various coating thicknesses and test conditions. The same basic system architecture works for different coating types and test standards, reducing the need for specialized equipment while maintaining precise measurement capability.
Solution Approach 2:
By using digital imaging and computational analysis, the patent achieves precise measurement without requiring complex physical measurement devices. The camera creates a digital copy of the surface, and software algorithms perform the quantitative analysis, simplifying the overall system compared to traditional optical measurement instruments.
4Productivity
If subjective visual assessment is used, then the testing process remains fast, but time consumption increases when readings are near classification limits
Solution Approach 1:
The patent replaces subjective visual assessment with automated image analysis that objectively measures coating removal percentages. The system quickly processes images and provides precise numerical results, eliminating the time-consuming process of subjective evaluation for borderline cases and enabling rapid, objective determination of pass/fail status.
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 enables precise and consistent evaluation of coating tests, reducing variability between technicians and improving accuracy, making it easier to set up and use in the field while allowing for multiple testing standards.
Implementation Method 1
a camera, a memory, a processor and a display screen... At least one lamp may be fixed with an inside surface of the hood and is adapted to project light towards the open bottom side thereof
Implementation Method 2
At least one lamp may be fixed with an inside surface of the hood and is adapted to project light towards the open bottom side thereof
Data Source
AI summary
A system for analyzing a coating test on a test surface with a portable electronic device includes a hood that is at least partially open at a bottom side thereof and fixable with the portable electronic device at an opposing top side thereof. At least one lamp is fixed with an inside surface of the hood and is adapted to project light towards the open bottom side thereof. A software application is resident on a memory of the portable electronic device that directs a processor of the portable electronic device to at least a) capture an image of an original color input area (CIA) of the test surface as a reference, b) capture an image of an area of interest (AOI) of the test surface, and c) compare the AOI to the CIA to determine a percentage of the coating that has been removed in the test.