Cathode Electrode Plate Defect Detection in Composite Material Strips
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Solution Overview
Problem
The production yield of laminated battery cell assemblies is low due to defects in the cathode electrode plate during the lamination process, leading to waste of production materials.
Innovation Solution
A method, apparatus, and system for defect detection of a cathode electrode plate of a composite material strip using computer vision technology, which involves obtaining a continuous image, intercepting image segments, and performing detection on the cathode electrode plate body region to identify defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If continuous image acquisition and defect detection are implemented during lamination, then production yield increases and material waste reduces, but device complexity and detection difficulty increase
Solution Approach 1:
The continuous image is divided into multiple image segments corresponding to different electrode plate regions. Each segment is processed independently to detect defects in specific areas, making the detection system more manageable and less complex while maintaining high productivity through parallel processing of multiple segments
Solution Approach 2:
The cathode electrode plate body region is extracted from the image segment by removing the separator region and background region. This extraction focuses the detection on the critical area where defects most impact production yield, reducing the complexity of analyzing entire images while maintaining detection effectiveness
2Manufacturing precision
If comprehensive defect detection is performed on the cathode electrode plate, then manufacturing precision improves, but detection difficulty and time increase
Solution Approach 1:
Different detection strategies are applied to different regions: the cathode electrode plate body region undergoes comprehensive defect detection, while the separator and background regions are removed or given less intensive processing. This localized approach maintains high manufacturing precision for critical areas without unnecessarily increasing detection difficulty across the entire image
Solution Approach 2:
The image segment is pre-processed by removing the separator region and background region before defect detection. This preliminary action isolates the cathode electrode plate body region, making the subsequent defect detection more straightforward and less difficult while maintaining comprehensive coverage of the critical area
Data Source
AI summary
A method for defect detection of a cathode electrode plate of a composite material strip includes obtaining a continuous image of the composite material strip; intercepting at least one image segment from the continuous image of the composite material strip, where the image segment includes a cathode electrode plate body region; and performing detection on the cathode electrode plate body region.