Cell Assembly Tab Inspection Using Reference Edge Lines
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Solution Overview
Problem
Current methods for inspecting the tab appearance of cell assemblies in battery production are inefficient and lack accuracy, leading to potential defects in battery quality and safety.
Innovation Solution
A method and apparatus utilizing computer vision technology to inspect tab appearance by determining root corners, side edges, and reference edge lines in images of cell assemblies, enhancing inspection accuracy through binarization processing, template matching, and linear fitting, thereby improving the detection of defects in tab alignment and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement or inspection using a special gauge is used, then the inspection process is simple, but the inspection efficiency is low and accuracy is insufficient
Solution Approach 1:
The patent replaces manual measurement and special gauge inspection with a computer vision system that uses image processing algorithms to automatically detect and measure tab appearance defects. The system captures images of cell assemblies and uses software-based analysis to determine root corners, side edges, and reference edge lines, eliminating the need for mechanical measurement tools while significantly improving both accuracy and efficiency.
Solution Approach 2:
The patent creates a digital copy (image) of the cell assembly tab region and performs all inspection operations on this digital representation rather than on the physical object. By working with image data and calculated coordinate information, the system achieves precise measurement without physical contact, improving both inspection accuracy and operational efficiency.
2Reliability
If manual inspection methods are used, then the equipment complexity is low, but the quality product rates are reduced due to insufficient inspection accuracy
Solution Approach 1:
The patent replaces simple manual inspection with an automated computer vision system that uses image processing and coordinate calculation algorithms. The system captures images, processes them through binarization, and calculates precise geometric parameters (root corners, side edges, reference lines) to automatically determine inspection results, thereby improving reliability through consistent, error-free automated measurement.
Solution Approach 2:
The inspection system performs self-service by automatically capturing images, processing them through the inspection algorithm, calculating all necessary geometric parameters, and determining inspection results without human intervention. The system uses its own captured image data to complete the entire inspection process, ensuring consistent quality and eliminating human error.
3Productivity
If computer vision technology is implemented, then inspection accuracy and efficiency are enhanced, but the device complexity increases
Solution Approach 1:
The patent replaces complex manual inspection processes with an automated computer vision system that, while technologically advanced, streamlines the overall process. The system automatically captures images, processes them through standardized algorithms, and produces inspection results without requiring complex manual operations, thereby improving productivity despite the introduction of automated technology.
Solution Approach 2:
The inspection system is designed with universal applicability, using the same image capture and processing methodology for different cell assembly types. The system can handle various tab configurations by adjusting the inspection parameters and reference line calculations, making the complex technology adaptable to multiple applications and reducing the need for multiple specialized systems.
Data Source
AI summary
A method and an apparatus for inspecting tab appearance of cell assembly, an electronic device, a non-transitory computer-readable storage medium, and a computer program product are provided. The method includes: obtaining an image for inspection that includes a background region and a cell assembly image region, where the cell assembly image region includes a body zone and a plurality of tab stacking regions, each tab stacking region adjoining a top edge or a bottom edge of the body zone; determining each root corner of the plurality of tab stacking regions in the image for inspection; determining two side edges of the body zone in the image for inspection; determining at least one reference edge line in the image for inspection based on the two side edges of the body zone in the image for inspection; and determining result information of the tab appearance inspection based on each root corner of the plurality of tab stacking regions in the image for inspection and the at least one reference edge line.