Electrode Coating Inspection Using Brightness Histogram Overlap Detection
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Solution Overview
Problem
Existing methods fail to accurately inspect the coating state of insulation materials on electrodes in secondary batteries, leading to potential short circuits due to inadequate coverage, which can be exacerbated by temperature changes.
Innovation Solution
A system and apparatus using a brightness distribution estimation model, such as a Gaussian mixture model, to analyze the coating state by generating a brightness histogram from inspection images, identifying overlapping sections of electrode active and insulation materials, and determining coating defects based on reference points and width measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inspection methods are used to check coating state, then the inspection process is simple, but the accuracy in estimation of overlapping section is insufficient
Solution Approach 1:
The patent replaces traditional mechanical/optical inspection methods with a computational approach using brightness distribution estimation models. The system captures images of the coating and uses image processing algorithms to generate brightness histograms, which are then analyzed by trained models to estimate overlapping sections accurately. This substitution of mechanical inspection with computational analysis resolves the contradiction by achieving high measurement precision through software-based methods rather than complex hardware modifications.
Solution Approach 2:
The patent transforms the inspection problem from direct visual assessment to analysis of brightness distribution parameters. By converting image data into brightness histograms and analyzing statistical parameters (mean, standard deviation, skewness, kurtosis) of the brightness distribution, the system achieves accurate estimation of overlapping sections. This parameter transformation approach allows precise measurement without increasing physical device complexity.
2Measurement precision
If multiple inspection methods are combined to improve coating inspection accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent creates a universal inspection system that can handle multiple coating inspection tasks through a single integrated platform. The brightness distribution estimation model serves multiple functions: it can inspect different types of coatings, analyze various overlapping patterns, and adapt to different base plate configurations. This multi-functionality approach allows the system to achieve high measurement precision across diverse applications without proportionally increasing device complexity, as one versatile system replaces what would otherwise require multiple specialized inspection devices.
3Measurement precision
If image processing algorithms are used to analyze coating brightness distribution, then the estimation accuracy of overlapping sections improves, but the quality uniformity of captured images becomes more critical
Solution Approach 1:
The patent incorporates feedback mechanisms in the form of brightness distribution analysis. By examining the statistical characteristics of brightness distribution across the image, the system can identify variations in image quality and compensate for them through the estimation algorithm. The feedback from brightness histogram analysis allows the system to maintain accurate overlapping section estimation even when there are minor variations in image capture quality, thus resolving the contradiction between estimation accuracy and image quality uniformity requirements.
Data Source
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Figure 2B~3A
Figure 3B
AI summary
The present disclosure relates to a system and apparatus for inspecting a coating state and an operation method thereof. The operation method of the apparatus for inspecting a coating state according to an embodiment of the present disclosure may include: using a photographing module, photographing at least a partial area of a base plate which comprises a first area coated with a first material and a second area not coated with the first material, wherein a partial area of the first material and a partial area of the second area 31b are coated with a second material, to obtain an inspection image; generating a brightness histogram related to a brightness of the inspection image based on a pre-trained brightness distribution estimation model; and estimating an overlapping section where the second material and the first material are overlapped based on the generated brightness histogram.