Battery Tab Counting via Pixel Framework Intersection Analysis
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Solution Overview
Problem
Existing methods for detecting tabs in battery production are inaccurate and fail to accurately detect the number of tabs, and fail to accurately detect the number of tabs, and fail to accurately detect the number of tabs, leading to misclassification of battery quality.
Innovation Solution
A method and device for detecting the number of tabs by determining the pixel value of a target pixel based on adjacent pixel values, using sums and lengths to accurately count tabs, even when they adhere to each other, and excluding glitches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image processing methods are used to detect tabs, then the detection process is simple, but the detection accuracy is low and tabs adhering to each other cannot be counted accurately
Solution Approach 1:
The patent segments the tab detection problem by identifying intersection points on the tab framework as key features. By dividing the tab structure into discrete intersection points and counting these points, the method achieves accurate tab counting even when tabs adhere to each other, resolving the contradiction between simple detection and accurate measurement.
2Measurement precision
If simple pixel counting methods are used, then the detection process is fast, but the results are inaccurate when tabs are stuck together
Solution Approach 1:
The patent performs preliminary processing by first identifying the tab framework and then locating intersection points on this framework before counting tabs. This preliminary action of establishing the framework and identifying key points enables accurate tab counting without requiring complex real-time analysis, thus maintaining detection speed while improving accuracy.
Solution Approach 2:
The patent replaces traditional mechanical pixel counting methods with a geometric approach based on intersection point analysis. By substituting the mechanical counting process with geometric feature detection on the tab framework, the method achieves both speed and accuracy in tab detection.
3Reliability
If conventional detection methods are applied, then the system is easy to operate, but it cannot distinguish between actual tab defects and detection errors
Solution Approach 1:
The patent employs feedback mechanisms by comparing the detected tab framework structure with expected tab configurations. The system uses the geometric relationships and intersection point patterns as feedback to verify detection results, enabling reliable distinction between actual defects and detection errors while maintaining operational simplicity through automated verification.
Data Source
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AI summary
An embodiment of this application provides a method and device for detecting the number of tabs to ensure accuracy of detecting the number of tabs. The method for detecting the number of tabs includes: determining a pixel value of a first target pixel based on a pixel value of at least one first adjacent pixel adjacent to a first target pixel on a tab framework, where the first adjacent pixel is an adjacent pixel of the first target pixel on a side in a first direction on the tab framework; and determining the number of tabs based on the pixel value of the first target pixel.