Battery Electrode Insulation Coating Defect Detection by Region Segmentation
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Solution Overview
Problem
Conventional methods for detecting defects on battery electrode plates have low detection accuracy and are limited to the coating stage, failing to effectively manage damage during the conveying process and unable to accurately bind data with specific electrode plates.
Innovation Solution
A method that involves obtaining an electrode plate image, determining the insulation coating and tab regions, and performing defect detection on the insulation coating region to identify defects before the electrode plate combination, using image processing techniques such as full-image edge finding and connected component extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image sensors are used to capture images for defect detection, then the detection process can be implemented, but the detection accuracy remains low
Solution Approach 1:
The patent segments the electrode plate image into multiple distinct regions (insulation coating region, tab region, active substance coating region, edge region) and applies different detection strategies to each region. This segmentation allows for more precise defect detection in critical areas while maintaining overall detection reliability.
Solution Approach 2:
The patent performs preliminary actions by first determining the boundaries and regions of the electrode plate before conducting defect detection. The insulation coating region and tab region are identified and defined in advance, allowing the detection algorithm to focus on specific areas with appropriate criteria, thereby improving both accuracy and reliability.
2Productivity
If defect detection is performed only at the coating stage, then the process is simple, but damage during conveying cannot be effectively managed
Solution Approach 1:
The patent creates a universal defect detection system that can detect defects at multiple stages (coating stage and conveying stage) using the same image processing framework. The system identifies insulation coating defects, tab defects, and active substance coating defects, making it multi-functional and applicable throughout the production process, thereby improving both productivity and reliability.
3Measurement precision
If general defect detection is performed without region-specific analysis, then the detection process is fast, but detection accuracy is low
Solution Approach 1:
The patent applies local quality by using different detection criteria and analysis methods for different regions of the electrode plate. The insulation coating region, tab region, and active substance coating region each have their own specific detection parameters and thresholds, allowing for high precision defect detection in each area while managing system complexity through modular region-based processing.
Data Source
AI summary
Method and apparatus for detecting a defect on an insulation coating on a battery electrode plate are disclosed. The method includes: obtaining an electrode plate image obtained by photographing an electrode plate, where the electrode plate image includes at least one complete electrode plate; determining an insulation coating region and a tab region in the electrode plate image; determining a defect detection region in the insulation coating region in the electrode plate image based on the insulation coating region and the tab region; and performing defect detection on the defect detection region to obtain a defect detection result. The method implements detection on the insulation coating on the electrode plate before combination, and can detect whether a defect exists in the insulation coating region.