Method, system and storage medium for measuring width and recognizing carbon-coated aluminum foil

Abstract

The application provides a method and system for measuring the width of carbon-coated aluminum foil and identifying the same, and a storage medium. The method comprises: obtaining layout design parameters of a target product of carbon-coated aluminum foil, and obtaining a sample image of the carbon-coated aluminum foil; determining a plurality of edge search windows for identifying the boundary between the coated area and the blank area in the sample image according to the layout design parameters and the sample image; analyzing and calculating the actual boundary coordinates of the boundary between the coated area and the blank area according to each edge search window; constructing an identification template according to the actual boundary coordinates obtained by all the edge search windows and the layout design parameters, and performing real-time detection on the production line product of the carbon-coated aluminum foil according to the identification template to obtain a size identification result. The application can adapt to various production modes and improve the identification accuracy and stability.

Description

Technical Field

[0001] This invention relates to the field of machine vision industrial inspection technology, and in particular to a method, system and storage medium for measuring and identifying the width of carbon-coated aluminum foil. Background Technology

[0002] Carbon-coated aluminum foil is a key current collector material for lithium-ion batteries, and the coating quality directly affects the cell's performance and safety. To adapt to different cell processes such as lamination and winding, the coating surface is often designed with multiple discontinuous coating areas and alternating blank areas distributed along the length, forming an alternating coating and blank area structure. In production, the consistency of the width of the coating areas and blank areas, as well as the alignment accuracy of the coating on the front and back of the aluminum foil, are core indicators determining the cell's quality. Deviations may cause problems such as electrode misalignment and short circuits. Therefore, these parameters must be monitored in real time and accurately online.

[0003] Currently, the industry commonly uses CCD (Charge-Coupled Device) machine vision systems for inspection. However, this system has significant limitations for the special surface structure of carbon-coated aluminum foil, making it difficult to meet the requirements of flexible production and rapid changeover. Specific problems are as follows: First, template creation is inefficient. When changing product models, operators need to manually capture the boundaries between the coating area and the blank area point by point on the image. For products with N coating areas on both sides, 4N+4 boundaries need to be captured. For example, if there are 7 coating areas, 32 edges need to be captured, which takes tens of minutes and becomes a production bottleneck. Secondly, it relies heavily on manual labor. Manual edge grabbing requires operators to be proficient in detection logic and image features, and fatigue can easily lead to positioning deviations, affecting template accuracy and posing potential risks to quality control. Third, it lacks intelligent feedforward capabilities. The system adopts a passive mode of defining features after the image is available, which makes it impossible to build detection logic in advance using parameters that have been defined in the product design stage, thus exacerbating the cumbersome nature of template creation.

[0004] In summary, existing technologies are no longer adequate for industry development, and the development of an online inspection solution for carbon-coated aluminum foil that can quickly and automatically create inspection templates and reduce human intervention has become an urgent need in this field. Summary of the Invention

[0005] This invention provides a method, system, and storage medium for measuring and identifying the width of carbon-coated aluminum foil, aiming to solve the problems of existing methods relying on manual labor and having low identification efficiency.

[0006] To solve the above-mentioned technical problems, in a first aspect, the present invention provides a method for measuring and identifying the width of carbon-coated aluminum foil, the method comprising the following steps: S101. Obtain the layout design parameters of the target product with carbon-coated aluminum foil, and obtain a sample image of the carbon-coated aluminum foil; S102. Based on the layout design parameters and the sample image, determine multiple edge search windows for identifying the boundary between the coated area and the blank area within the pixel range of the sample image; S103. Analyze and calculate the actual boundary coordinates between the coating area and the blank area based on each edge search window; S104. Simultaneously, based on the actual boundary coordinates calculated from all the edge search windows and the layout design parameters, an identification template is constructed, and the production line products of the carbon-coated aluminum foil are detected in real time according to the identification template to obtain the size identification result.

[0007] Furthermore, the layout design parameters include the total design width of the carbon-coated aluminum foil substrate and the design width of each of the coating areas and the blank areas arranged sequentially along the width direction.

[0008] Furthermore, step S102 includes the following sub-steps: S1021. Based on the pixel width of the sample image and the total design width of the substrate, obtain the actual physical size represented by each pixel in the sample image; S1022. Based on the actual physical dimensions and the ratio between the total design width of the substrate and the pixel width, the design widths of the coating area and the blank area are converted into the expected pixel widths in the sample image. S1023. Determine the expected horizontal coordinate of the boundary between each of the coated areas and the blank areas in the sample image in the image coordinate system based on the expected pixel width in the plane coordinate system. S1024. Generate a corresponding edge search window centered on each of the expected horizontal coordinates.

[0009] Furthermore, step S1023 specifically includes: A planar coordinate system is constructed with the corner vertices of the sample image as the origin, and the vertical axis of the coordinate system is used as the starting boundary. The expected horizontal coordinate of each boundary in the planar coordinate system is determined by cumulative calculation.

[0010] Furthermore, step S103 specifically includes: Within each edge search window, the grayscale values ​​of the sample image are analyzed using a sub-pixel edge localization algorithm to determine the grayscale distribution centroid, and the actual pixel coordinates of the boundary between each coated area and the blank area within the edge search window are determined based on the grayscale distribution centroid.

[0011] Furthermore, the method also includes the following steps: S105. Save the recognition template. When producing products on the production line using the same parameters as the layout design parameters corresponding to the recognition template, call the recognition template for real-time detection.

[0012] Secondly, the present invention also provides a system for measuring and identifying the width of carbon-coated aluminum foil, comprising: The parameter input module is used to obtain the layout design parameters of the target product with carbon-coated aluminum foil, and to obtain a sample image of the carbon-coated aluminum foil; A window generation module is used to determine, based on the layout design parameters and the sample image, multiple edge search windows for identifying the boundary between the painted area and the blank area within the pixel range of the sample image. A precise positioning module is used to analyze and calculate the actual boundary coordinates of the boundary between the coating area and the blank area based on each of the edge search windows; The detection module is used to simultaneously construct an identification template based on the actual boundary coordinates calculated from all the edge search windows and the layout design parameters, and to perform real-time detection on the carbon-coated aluminum foil production line products based on the identification template to obtain size identification results.

[0013] Thirdly, the present invention also provides a computer device, comprising: a memory, a processor, and a program for measuring and identifying the width of carbon-coated aluminum foil stored in the memory and executable on the processor, wherein when the processor executes the program for measuring and identifying the width of carbon-coated aluminum foil, it implements the steps of the method for measuring and identifying the width of carbon-coated aluminum foil as described in any of the above embodiments.

[0014] Fourthly, the present invention also provides a storage medium storing a program for measuring and identifying the width of carbon-coated aluminum foil, wherein when the program for measuring and identifying the width of carbon-coated aluminum foil is executed by a processor, the program implements the steps of the method for measuring and identifying the width of carbon-coated aluminum foil as described in any of the above embodiments.

[0015] The beneficial effects achieved by this invention are that it proposes a method for measuring and identifying the width of carbon-coated aluminum foil. This method constructs an identification template by pre-acquiring layout design parameters and sample images, setting an edge search window, and calculating the actual boundary coordinates. This significantly shortens the template creation time. The operation only requires inputting known design parameters, reducing the skill requirements for personnel. Furthermore, by limiting the edge search range to the vicinity of the expected position, it effectively avoids noise interference from other areas of the image, enabling the method to adapt to various production modes and improve recognition accuracy and stability. Attached Figure Description

[0016] The present invention will now be described in detail with reference to the accompanying drawings. The above and other aspects of the present invention will become clearer and more readily understood through the detailed description following the accompanying drawings. In the drawings: Figure 1 This is a flowchart of the steps of the method for measuring and identifying the width of carbon-coated aluminum foil provided in the embodiments of the present invention; Figure 2 This is a schematic diagram of the system for measuring and identifying the width of carbon-coated aluminum foil provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0018] Example 1 Please refer to Figure 1 , Figure 1 This is a flowchart illustrating the steps of a method for measuring and identifying the width of carbon-coated aluminum foil provided in an embodiment of the present invention. The method includes the following steps: S101. Obtain the layout design parameters of the target product with carbon-coated aluminum foil, and obtain a sample image of the carbon-coated aluminum foil.

[0019] In this embodiment of the invention, the layout design parameters include the total design width of the carbon-coated aluminum foil substrate, and the design widths of each of the coating areas and the blank areas arranged sequentially along the width direction. For example, after obtaining the input total design width of the substrate through a graphical interface, the input design widths of the first blank area, the first coating area, the second blank area, the second coating area, etc., are obtained sequentially from left to right, until the input design width of the last blank area is obtained.

[0020] During implementation, the layout design parameters can be obtained not only through input via a graphical interface, but also through analysis using design programs or design drawings.

[0021] In this embodiment of the invention, a sample image of the carbon-coated aluminum foil is acquired using a CCD camera under an industrially compliant light source environment.

[0022] S102. Based on the layout design parameters and the sample image, determine multiple edge search windows for identifying the boundary between the painted area and the blank area within the pixel range of the sample image.

[0023] Specifically, step S102 includes the following sub-steps: S1021. Based on the pixel width of the sample image and the total design width of the substrate, obtain the actual physical size represented by each pixel in the sample image.

[0024] For example, if the pixel width of the sample image is defined as W_pixel and the total design width of the substrate is W_design, then the actual physical size represented by each pixel is K = W_design / W_pixel.

[0025] S1022. Based on the actual physical dimensions and the ratio of the total design width of the substrate to the pixel width, the design widths of the coating area and the blank area are converted into the expected pixel widths in the sample image.

[0026] By defining the total design width of the substrate and the pixel width, the proportional relationship between the total design width of the digitized substrate and the sample image of the carbon-coated aluminum foil can be clarified, thereby determining the expected pixel width of the design width of the coating area and the blank area in the actual sample image, so that a correlation is formed between the image and the design data.

[0027] S1023. Determine the expected horizontal coordinate of the boundary between each of the coated areas and the blank areas in the sample image in the image coordinate system based on the expected pixel width.

[0028] Specifically, step S1023 is as follows: A planar coordinate system is constructed with the corner vertices of the sample image as the origin, and the vertical axis of the coordinate system is used as the starting boundary. The expected horizontal coordinate of each boundary in the planar coordinate system is determined by cumulative calculation.

[0029] For example, if the expected x-coordinate of the first boundary after the initial boundary is defined as X1_exp, then it satisfies: X1_exp = (Design width of the first blank area) / K; Since the coated area and the blank area are distributed sequentially adjacent to each other, the expected x-coordinates of the boundaries after the first boundary can be obtained sequentially by accumulating the calculations. For example, if the expected x-coordinate of the second boundary is defined as X2_exp, then it satisfies: X2_exp = X1_exp + (Design width of the first coating area) / K.

[0030] S1024. Generate a corresponding edge search window centered on each of the expected horizontal coordinates.

[0031] In this embodiment of the invention, the edge search window is a window obtained by expanding a specific pixel value to the left and right from the expected horizontal coordinate. Preferably, the expanded pixel value is less than the minimum value among the design widths of all the painted areas and the blank areas. In step S103, the expected horizontal coordinate of the boundary is determined based on the pre-acquired layout design parameters and the expected pixel width identified from the sample image. However, it may not be the same as the actual boundary position in the sample image. Therefore, accurate identification of the boundary within the window is required through subsequent steps.

[0032] S103. Analyze and calculate the actual boundary coordinates between the coating area and the blank area based on each edge search window.

[0033] Step S103 is as follows: Within each edge search window, the grayscale values ​​of the sample image are analyzed using a sub-pixel edge localization algorithm to determine the grayscale distribution centroid, and the actual pixel coordinates of the boundary between each coated area and the blank area within the edge search window are determined based on the grayscale distribution centroid.

[0034] Subpixel edge localization algorithm is an algorithm used to improve the accuracy of image edge location detection. Its localization accuracy can break through the limitations of image pixel level and reach the fractional part of the pixel. Since the image colors of the coated area and the blank area are significantly different (e.g., black coating, white blank), in this embodiment of the invention, the subpixel edge localization algorithm performs mathematical modeling and calculation on the grayscale information around the pixel within the edge search window, which can achieve more refined edge coordinate solution, thereby obtaining the actual pixel coordinates of the boundary between each coated area and the blank area.

[0035] S104. Construct an identification template based on the actual boundary coordinates calculated from all the edge search windows and the layout design parameters, and perform real-time detection on the carbon-coated aluminum foil production line products based on the identification template to obtain size identification results.

[0036] By integrating all the actual boundary coordinates obtained in step S103, all areas of the carbon-coated aluminum foil can be accurately delineated in the current sample image. This information is then saved as the identification template for the current carbon-coated aluminum foil product. When the production line begins mass production, this identification template is invoked, and edge tracking and size calculation are performed only near the preset window position in each acquisition cycle, thereby achieving efficient and accurate boundary detection and identification.

[0037] The method for measuring and identifying the width of carbon-coated aluminum foil also includes the following steps: S105. Save the recognition template. When producing products on the production line using the same parameters as the layout design parameters corresponding to the recognition template, call the recognition template for real-time detection.

[0038] The beneficial effects achieved by this invention are that it proposes a method for measuring and identifying the width of carbon-coated aluminum foil. This method constructs an identification template by pre-acquiring layout design parameters and sample images, setting an edge search window, and calculating the actual boundary coordinates. This significantly shortens the template creation time. The operation only requires inputting known design parameters, reducing the skill requirements for personnel. Furthermore, by limiting the edge search range to the vicinity of the expected position, it effectively avoids noise interference from other areas of the image, enabling the method to adapt to various production modes and improve recognition accuracy and stability.

[0039] Example 2 This invention also provides a system 200 for measuring and identifying the width of carbon-coated aluminum foil, please refer to... Figure 2 , Figure 2 This is a schematic diagram of the structure of the system for measuring and identifying the width of carbon-coated aluminum foil provided in an embodiment of the present invention, which includes: The parameter input module 201 is used to obtain the layout design parameters of the target product of the carbon-coated aluminum foil and to obtain a sample image of the carbon-coated aluminum foil. The window generation module 202 is used to determine, based on the layout design parameters and the sample image, multiple edge search windows for identifying the boundary between the painted area and the blank area within the pixel range of the sample image; The precise positioning module 203 is used to analyze and calculate the actual boundary coordinates between the coating area and the blank area based on each edge search window; The detection module 204 is used to simultaneously construct an identification template based on the actual boundary coordinates calculated from all the edge search windows and the layout design parameters, and to perform real-time detection on the carbon-coated aluminum foil production line products based on the identification template to obtain size identification results.

[0040] The system 200 for measuring and identifying the width of carbon-coated aluminum foil can implement the steps in the method for measuring and identifying the width of carbon-coated aluminum foil as described in the above embodiments, and can achieve the same technical effect. Referring to the description in the above embodiments, it will not be repeated here.

[0041] Example 3 This invention also provides a computer device, please refer to... Figure 3 , Figure 3This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. The computer device 300 includes: a memory 302, a processor 301, and a program for measuring and identifying the width of carbon-coated aluminum foil stored in the memory 302 and executable on the processor 301.

[0042] The processor 301 calls the program for measuring and identifying the width of carbon-coated aluminum foil stored in the memory 302, and executes the steps in the method for measuring and identifying the width of carbon-coated aluminum foil provided in this embodiment of the invention. Please refer to... Figure 1 Specifically, it includes the following steps: S101. Obtain the layout design parameters of the target product with carbon-coated aluminum foil, and obtain a sample image of the carbon-coated aluminum foil.

[0043] The layout design parameters include the total design width of the carbon-coated aluminum foil substrate, and the design width of each of the coating areas and the blank areas arranged sequentially along the width direction.

[0044] S102. Based on the layout design parameters and the sample image, determine multiple edge search windows for identifying the boundary between the painted area and the blank area within the pixel range of the sample image.

[0045] Step S102 includes the following sub-steps: S1021. Based on the pixel width of the sample image and the total design width of the substrate, obtain the actual physical size represented by each pixel in the sample image; S1022. Based on the actual physical dimensions and the ratio between the total design width of the substrate and the pixel width, the design widths of the coating area and the blank area are converted into the expected pixel widths in the sample image. S1023. Determine the expected horizontal coordinate of the boundary between each of the coated areas and the blank areas in the sample image in the image coordinate system based on the expected pixel width in the plane coordinate system. S1024. Generate a corresponding edge search window centered on each of the expected horizontal coordinates.

[0046] Specifically, step S1023 is as follows: A planar coordinate system is constructed with the corner vertices of the sample image as the origin, and the vertical axis of the coordinate system is used as the starting boundary. The expected horizontal coordinate of each boundary in the planar coordinate system is determined by cumulative calculation.

[0047] S103. Analyze and calculate the actual boundary coordinates between the coating area and the blank area based on each edge search window.

[0048] Step S104 is as follows: Within each edge search window, the grayscale values ​​of the sample image are analyzed using a sub-pixel edge localization algorithm to determine the grayscale distribution centroid, and the actual pixel coordinates of the boundary between each coated area and the blank area within the edge search window are determined based on the grayscale distribution centroid.

[0049] S104. Construct an identification template based on the actual boundary coordinates calculated from all the edge search windows and the layout design parameters, and perform real-time detection on the carbon-coated aluminum foil production line products based on the identification template to obtain size identification results.

[0050] The method for measuring and identifying the width of carbon-coated aluminum foil also includes the following steps: S105. Save the recognition template. When producing products on the production line using the same parameters as the layout design parameters corresponding to the recognition template, call the recognition template for real-time detection.

[0051] The computer device 300 provided in this embodiment of the invention can implement the steps in the method for measuring and identifying the width of carbon-coated aluminum foil as described in the above embodiments, and can achieve the same technical effect. Referring to the description in the above embodiments, it will not be repeated here.

[0052] Example 4 This invention also provides a storage medium storing a program for measuring and identifying the width of carbon-coated aluminum foil. When the program is executed by a processor, it implements the various processes and steps in the method for measuring and identifying the width of carbon-coated aluminum foil provided in this invention and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0053] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by hardware related to the program or instructions for measuring and identifying the width of carbon-coated aluminum foil. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0054] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0055] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0056] The embodiments of the present invention have been described above with reference to the accompanying drawings. The disclosed embodiments are merely preferred embodiments of the present invention. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many equivalent changes in form under the guidance of the present invention without departing from the spirit and scope of the claims. All such changes are within the protection scope of the present invention.

Claims

1. A method for measuring and identifying the width of carbon-coated aluminum foil, characterized in that, The method includes the following steps: S101. Obtain the layout design parameters of the target product with carbon-coated aluminum foil, and obtain a sample image of the carbon-coated aluminum foil; S102. Based on the layout design parameters and the sample image, determine multiple edge search windows for identifying the boundary between the coated area and the blank area within the pixel range of the sample image; S103. Analyze and calculate the actual boundary coordinates between the coating area and the blank area based on each edge search window; S104. Simultaneously, an identification template is constructed based on the actual boundary coordinates calculated from all the edge search windows and the layout design parameters. The production line products of the carbon-coated aluminum foil are then inspected in real time based on the identification template to obtain size identification results.

2. The method for measuring and identifying the width of carbon-coated aluminum foil according to claim 1, characterized in that, The layout design parameters include the total design width of the carbon-coated aluminum foil substrate and the design width of each of the coating areas and the blank areas arranged sequentially along the width direction.

3. The method for measuring and identifying the width of carbon-coated aluminum foil according to claim 2, characterized in that, Step S102 includes the following sub-steps: S1021. Based on the pixel width of the sample image and the total design width of the substrate, obtain the actual physical size represented by each pixel in the sample image; S1022. Based on the actual physical dimensions and the ratio of the total design width of the substrate to the pixel width, the design widths of the coating area and the blank area are converted into the expected pixel widths in the sample image, respectively. S1023. Determine the expected horizontal coordinate of the boundary between each of the coated areas and the blank areas in the sample image in the image coordinate system according to the expected pixel width; S1024. Generate a corresponding edge search window centered on each of the expected horizontal coordinates.

4. The method for measuring and identifying the width of carbon-coated aluminum foil according to claim 3, characterized in that, Step S1023 is as follows: A planar coordinate system is constructed with the corner vertices of the sample image as the origin, and the vertical axis of the coordinate system is used as the starting boundary. The expected horizontal coordinate of each boundary in the planar coordinate system is determined by cumulative calculation.

5. The method for measuring and identifying the width of carbon-coated aluminum foil according to claim 3, characterized in that, Step S103 is as follows: Within each edge search window, the grayscale values ​​of the sample image are analyzed using a sub-pixel edge localization algorithm to determine the grayscale distribution centroid, and the actual pixel coordinates of the boundary between each coated area and the blank area within the edge search window are determined based on the grayscale distribution centroid.

6. The method for measuring and identifying the width of carbon-coated aluminum foil according to claim 1, characterized in that, The method further includes the following steps: S105. Save the recognition template. When producing products on the production line using the same parameters as the layout design parameters corresponding to the recognition template, call the recognition template for real-time detection.

7. A system for measuring and identifying the width of carbon-coated aluminum foil, characterized in that, include: The parameter input and sampling module is used to obtain the layout design parameters of the target product with carbon-coated aluminum foil, and to obtain a sample image of the carbon-coated aluminum foil; A window generation module is used to determine, based on the layout design parameters and the sample image, multiple edge search windows for identifying the boundary between the painted area and the blank area within the pixel range of the sample image. A precise positioning module is used to analyze and calculate the actual boundary coordinates of the boundary between the coating area and the blank area based on each of the edge search windows; The detection module is used to simultaneously construct an identification template based on the actual boundary coordinates calculated from all the edge search windows and the layout design parameters, and to perform real-time detection on the carbon-coated aluminum foil production line products based on the identification template to obtain size identification results.

8. A computer device, characterized in that, include: The method includes a memory, a processor, and a program for measuring and identifying the width of carbon-coated aluminum foil stored in the memory and executable on the processor. When the processor executes the program for measuring and identifying the width of carbon-coated aluminum foil, it implements the steps of the method for measuring and identifying the width of carbon-coated aluminum foil as described in any one of claims 1-6.

9. A storage medium, characterized in that, The storage medium stores a program for measuring and identifying the width of carbon-coated aluminum foil. When the program for measuring and identifying the width of carbon-coated aluminum foil is executed by a processor, it implements the steps in the method for measuring and identifying the width of carbon-coated aluminum foil as described in any one of claims 1-6.

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