Battery production line detection system and detection method

Abstract

The application belongs to the technical field of image data processing, and particularly relates to a battery production line detection system and a detection method. The battery production line detection system comprises a control module, a first visual detection device, a second visual detection device and a third visual detection device. The control module is configured to collect a gray scale image after point coating of a battery diaphragm through the first visual detection device, the second visual detection device and the third visual detection device. The control module is configured to adjust the gray scale image to identify a point coating feature in the gray scale image. The control module is further configured to compare the point coating feature with preset comparison parameters to determine whether there is a point coating defect. The application can reduce misjudgment and missed judgment, and improve the point coating defect identification precision by collecting a point coating image of a battery diaphragm and converting it into a corresponding gray scale image, adjusting the gray scale image and setting appropriate gray scale values, and adjusting preset comparison parameters in the image recognition process.

Description

Technical Field

[0001] This invention belongs to the field of image data processing technology, specifically relating to image analysis systems, and more particularly to a battery production line inspection system and inspection method. Background Technology

[0002] When industrial cameras identify painted spots in images, factors such as lighting angle, camera acquisition angle, and the position of the painted spot can cause differences in grayscale at different locations in the image during visual recognition. If the image recognition uses the same grayscale to identify all painted spots, some painted spots will be misjudged.

[0003] Therefore, there is an urgent need to develop a new battery production line testing system and method to solve the technical problem of misjudgment caused by grayscale deviation during the collection and identification of coating dots.

[0004] It should be noted that the information disclosed in this background section is only for understanding the background technology of the present application concept, and therefore, the above description is not considered to constitute prior art information. Summary of the Invention

[0005] This disclosure provides at least one battery production line testing system and testing method.

[0006] In a first aspect, embodiments of this disclosure provide a battery production line inspection system, comprising: a control module, a first vision inspection device, a second vision inspection device, and a third vision inspection device; wherein the first vision inspection device, the second vision inspection device, and the third vision inspection device are electrically connected to the control module; the control module is configured to acquire grayscale images of the battery separator after spot coating through the first vision inspection device, the second vision inspection device, and the third vision inspection device; the control module is configured to adjust the grayscale images to identify spot coating features in the grayscale images; the control module is further configured to compare the spot coating features with preset comparison parameters to determine whether spot coating defects exist.

[0007] In one optional embodiment, the first visual inspection device, the second visual inspection device, and the third visual inspection device have the same mechanical structure and each includes: a camera and a line scan LED light source; the line scan LED light source emits light to the battery separator so that the light is reflected or transmitted through the battery separator and then enters the camera, thereby the control module acquires the corresponding grayscale image.

[0008] In one optional implementation, the categories of preset comparison parameters include: dot particle threshold, background mask width, background mask height, lateral spacing of leaks, longitudinal spacing of leaks, lateral detection of sticky dots, longitudinal spacing of sticky dots, coating rate standard, coating rate deviation tolerance, grayscale threshold of dot, roundness threshold of dot, pixel threshold of dot, dot detection area, diameter standard of dot, lateral spacing standard of dot, longitudinal spacing standard of dot, diameter deviation tolerance, lateral spacing deviation tolerance, and longitudinal spacing deviation tolerance.

[0009] In one optional implementation, when the control module adjusts the grayscale image, the control module is configured to divide the grayscale image after the battery separator is dotted with grayscale to corresponding grayscale adjustment regions and interval regions; the control module is further configured to obtain the dynamic range value of each grayscale adjustment region and adjust the size of each grayscale adjustment region according to the dynamic range value; the control module is further configured to detect the proportion of each coating point on the boundary of each grayscale adjustment region in the corresponding grayscale adjustment region, so as to divide each coating point into the corresponding grayscale adjustment region or interval region; the control module is further configured to set corresponding standard reference grayscale values ​​for each grayscale adjustment region and interval region respectively, so as to detect the dotting parameters of the grayscale image.

[0010] In one optional implementation, the control module is configured to divide the grayscale image into corresponding grayscale adjustment regions and interval regions according to different grayscale thresholds, and the interval regions separate the grayscale adjustment regions.

[0011] In one optional implementation, when the dynamic range value of any grayscale adjustment region is at a low dynamic range threshold, the control module is configured to expand the boundary of the grayscale adjustment region outwards into the interval region by a set distance; when the dynamic range value of any grayscale adjustment region is at a medium dynamic range threshold, the control module is configured to keep the boundary of the grayscale adjustment region unchanged; when the dynamic range value of any grayscale adjustment region is at a high dynamic range threshold, the control module is configured to shrink the boundary of the grayscale adjustment region inwards into the grayscale adjustment region by a set distance.

[0012] In one alternative implementation, when the dynamic range value is less than 20 dB, the dynamic range value is at a low dynamic range threshold; when the dynamic range value is not less than 20 dB and less than 50 dB, the dynamic range value is at a medium dynamic range threshold; and when the dynamic range value is not less than 50 dB, the dynamic range value is at a high dynamic range threshold.

[0013] In one alternative implementation, the distance is set to the diameter of the standard paint dot.

[0014] In one optional implementation, when any paint dot accounts for less than 30% of the corresponding grayscale adjustment area, the control module is configured to assign the paint dot to the interval area; when any paint dot accounts for not less than 30% of the corresponding grayscale adjustment area, the control module is configured to assign the paint dot to the grayscale adjustment area.

[0015] Secondly, this disclosure also provides a detection method using the battery production line detection system described above, which includes: a control module acquiring a grayscale image of the battery separator after spot coating through a first vision detection device, a second vision detection device, and a third vision detection device; the control module adjusting the grayscale image to identify spot coating features in the grayscale image; and the control module comparing the spot coating features with preset comparison parameters to determine whether there are spot coating defects.

[0016] The beneficial effects of this invention are that by acquiring battery separator dot coating images and converting them into corresponding grayscale images, adjusting the grayscale images and setting appropriate grayscale values, and adjusting preset comparison parameters during image recognition, it is possible to reduce false judgments and missed judgments, thereby improving the accuracy of dot coating defect recognition.

[0017] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 A schematic block diagram of a battery production line testing system provided in this disclosure embodiment; Figure 2 A flowchart of a battery production line testing system provided in this disclosure embodiment; Figure 3 This is a schematic diagram showing the grayscale adjustment area before adjustment, as provided in an embodiment of this disclosure. Figure 4This is a schematic diagram showing an adjusted grayscale area provided in an embodiment of this disclosure.

[0021] In the picture: 1. Grayscale adjustment area; 2. Interval area; 3. Dots. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] The terminology used herein is for the purpose of describing specific exemplary configurations only and is not intended to be limiting. As used herein, the singular articles “a,” “an,” and “the” may also be intended to include plural forms unless otherwise clearly stated herein. The terms “comprising,” “including,” and “having” are inclusive and thus specify the presence of features, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein should not be construed as requiring them to be performed in the specific order discussed or shown, unless specifically identified as such. Additional or alternative steps may be employed.

[0024] As used herein, the phrases “in one embodiment,” “according to one embodiment,” “in some embodiments,” etc., generally refer to the fact that a particular feature, structure, or characteristic following the phrase can be included in at least one embodiment of this disclosure. Therefore, a particular feature, structure, or characteristic can be included in more than one embodiment of this disclosure, such that these phrases do not necessarily refer to the same embodiment. As used herein, the terms “example,” “exemplary,” etc., are used to “serve as an example, instance, or illustration.” Any implementation, aspect, or design described herein as “example” or “exemplary” is not necessarily to be construed as preferred or superior to other implementations, aspects, or designs. Rather, the use of the terms “example,” “exemplary,” etc., is intended to present concepts in a specific manner.

[0025] Research has found that when industrial cameras identify painted spots in images, factors such as lighting angle, camera acquisition angle, and the location of the painted spots can cause differences in grayscale at different locations in the image during visual recognition. If the image recognition uses the same grayscale to identify all painted spots, some painted spots will be misidentified.

[0026] Based on the above research, this disclosure provides a battery production line inspection system and inspection method, which acquires battery separator dot coating images and converts them into corresponding grayscale images. By adjusting the grayscale images and setting appropriate grayscale values, and by adjusting preset comparison parameters during image recognition, false judgments and missed judgments can be reduced, thereby improving the accuracy of dot coating defect recognition.

[0027] The shortcomings of the above solutions are the result of the inventor's practical experience and careful research. Therefore, the discovery process of the above problems and the solutions proposed in this disclosure below should be considered as the inventor's contribution to this disclosure.

[0028] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0029] The following detailed description of some embodiments of the present invention is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0030] like Figures 1 to 4 As shown, at least one embodiment provides a battery production line inspection system, comprising: a control module, a first vision inspection device, a second vision inspection device, and a third vision inspection device; wherein the first vision inspection device, the second vision inspection device, and the third vision inspection device are electrically connected to the control module; the control module is configured to acquire grayscale images of the battery separator after spot coating through the first vision inspection device, the second vision inspection device, and the third vision inspection device; the control module is configured to adjust the grayscale images to identify spot coating features in the grayscale images; the control module is further configured to compare the spot coating features with preset comparison parameters to determine whether spot coating defects exist.

[0031] In at least one embodiment, by acquiring a battery separator dot-coating image and converting it into a corresponding grayscale image, adjusting the grayscale image and setting an appropriate grayscale value, and adjusting preset comparison parameters during image recognition, false judgments and missed judgments can be reduced, thereby improving the accuracy of dot-coating defect recognition.

[0032] In at least one embodiment, the first visual inspection device, the second visual inspection device, and the third visual inspection device have the same mechanical structure and each includes: a camera and a line scan LED light source; the line scan LED light source emits light to the battery separator so that the light is reflected or transmitted through the battery separator and then enters the camera, thereby the control module acquires the corresponding grayscale image.

[0033] Specifically, in the first vision inspection device, both the camera and the line scan LED light source are positioned facing the front of the battery separator.

[0034] Specifically, in the second vision inspection device, both the camera and the line scan LED light source are positioned facing the back of the battery separator.

[0035] Specifically, in the third vision inspection device, the camera and the line scan LED light source are located on both sides of the battery separator, respectively.

[0036] Specifically, the first vision detection device and the second vision detection device can acquire images of light reflection from both sides of the battery separator.

[0037] Specifically, the third-vision inspection device can acquire images after the battery separator is transmitted through it.

[0038] In at least one embodiment, the categories of preset comparison parameters include: dot particle threshold, background mask width, background mask height, lateral spacing of leaks, longitudinal spacing of leaks, lateral detection of sticky dots, longitudinal spacing of sticky dots, coating rate standard, coating rate deviation tolerance, grayscale threshold of dot 3, roundness threshold of dot 3, pixel threshold of dot 3, detection area of ​​dot 3, diameter standard of dot 3, lateral spacing standard of dot 3, longitudinal spacing standard of dot 3, diameter deviation tolerance, lateral spacing deviation tolerance, and longitudinal spacing deviation tolerance.

[0039] Specifically, the dot-coated particle threshold is used to detect particles. This threshold is adaptive based on product film detection. When the image contrast is low, it is set to 5-10, and when the contrast is high, it is set to 15-20. When viewing the defect thumbnail, the mouse is used to move the black dot 3 to obtain a grayscale value, and the background of the uncoated dot 3 is also obtained. The difference between the two is the contrast. If the input of this value is too high, it will cause false detection, and if it is too low, it will cause missed detection.

[0040] Specifically, the background mask width and background mask height are used to estimate the height and width of the background mask. Input the center distance between two adjacent smear points 3 in pixels. When viewing the defect thumbnail, the horizontal and vertical center distance in pixels is obtained by subtracting the pixel value of the center of the previous smear point 3 from the pixel value of the center of the next smear point 3. Input this value into the background mask height and background mask width. The background mask width and background mask height can be set to 8, but are not limited to this setting.

[0041] Specifically, the particle spacing size of coating point 3 is determined by how many intervals there are no other material points around each material point, which is then considered a leak. The difference between the center distance pixel and the diameter pixel is input. When viewing the defect miniature image, the diameter pixel is obtained by subtracting the pixel values ​​on both sides of coating point 3. The value obtained by subtracting the diameter pixel from the center distance pixel is the input value for the horizontal and vertical spacing of the leak point. A small value makes it easy to miss the leak, while a large value makes it easy to misjudge.

[0042] Specifically, the particle spacing size for sticky spots is the range within which each particle's size is considered a sticky spot. The input is (pixel diameter / 2 + 2 to 3 pixels). To view the defect thumbnail, the input value is (pixel diameter / 2 + 2 to 3 pixels). Note: a smaller value makes it easier to miss a spot, while a larger value makes it easier to misjudge.

[0043] Specifically, when there are false positives for leaks and adhesions, the factors are: 1. Image contrast and threshold mismatch; 2. Leak interval too small; 3. Adhesion interval too small. The method to determine the source is to first increase both sets of intervals to 30-40 to eliminate factor 1, then increase one set of leak intervals and adhesion intervals while keeping the other set unchanged to determine whether the source is a leak or adhesion, and increase the corresponding interval accordingly.

[0044] Specifically, during the diameter detection of coating point 3, the diameter of coating point 3 is output and a curve trend graph is plotted. When the diameter exceeds the limit, it is considered a defect and a defect graph is output.

[0045] Specifically, when detecting the lateral or longitudinal spacing of the coating point 3, the center distance between the coating points 3 is output and a curve trend graph is output. If the distance exceeds the standard, it is considered a defect.

[0046] Specifically, coverage detection refers to the proportion of the area covered by a single camera spot 3 to the entire camera detection area.

[0047] In at least one embodiment, please refer to Figure 2 When the control module adjusts the grayscale image, it is configured to divide the grayscale image after the battery separator is coated into corresponding grayscale adjustment regions 1 and interval regions 2. The control module is also configured to acquire the dynamic range value of each grayscale adjustment region 1 and adjust the size of each grayscale adjustment region 1 according to the dynamic range value. The control module is also configured to detect the proportion of each coating point 3 on the boundary of each grayscale adjustment region 1 in the corresponding grayscale adjustment region 1, so as to divide each coating point 3 into the corresponding grayscale adjustment region 1 or interval region 2. The control module is also configured to set corresponding standard reference grayscale values ​​for each grayscale adjustment region 1 and interval region 2, so as to detect the coating parameters of the grayscale image.

[0048] Specifically, by adjusting the size of each grayscale adjustment area 1, the boundaries of each grayscale adjustment area 1 can be adjusted according to the dynamic illumination range, and corresponding standard reference grayscale values ​​can be set. This allows each grayscale adjustment area 1 and the interval area 2 to be set with appropriate grayscale values, thereby making the feature recognition of the coating point 3 more accurate, reducing the probability of missed detection and false detection, and improving detection accuracy.

[0049] In at least one embodiment, the control module is configured to divide the grayscale image into corresponding grayscale adjustment regions 1 and interval regions 2 according to different grayscale thresholds, and the interval regions 2 separate each grayscale adjustment region 1.

[0050] Specifically, the acquired images are first converted into grayscale images. The grayscale images can be divided into corresponding grayscale adjustment regions 1 and interval regions 2 according to different grayscale thresholds, so as to achieve initial segmentation of the grayscale images. Fine precision is not required, and pixels with consistent brightness can be quickly divided into one region.

[0051] In at least one embodiment, when the dynamic range value of any grayscale adjustment region 1 is at a low dynamic range threshold, the control module is configured to expand the boundary of the grayscale adjustment region 1 outward to the interval region 2 by a set distance; when the dynamic range value of any grayscale adjustment region 1 is at a medium dynamic range threshold, the control module is configured to keep the boundary of the grayscale adjustment region 1 unchanged; when the dynamic range value of any grayscale adjustment region 1 is at a high dynamic range threshold, the control module is configured to shrink the boundary of the grayscale adjustment region 1 inward to the grayscale adjustment region 1 by a set distance.

[0052] Specifically, dynamic range (DR) refers to the range of light intensity captured by a camera.

[0053] Specifically, by adjusting the range of grayscale adjustment area 1 through dynamic range values, each grayscale adjustment area 1 can be accurately divided, and each painted point 3 can be accurately divided into grayscale adjustment area 1 or interval area 2, which facilitates subsequent feature recognition of each painted point 3.

[0054] In at least one embodiment, when the dynamic range value is less than 20 dB, the dynamic range value is at a low dynamic range threshold; when the dynamic range value is not less than 20 dB and less than 50 dB, the dynamic range value is at a medium dynamic range threshold; and when the dynamic range value is not less than 50 dB, the dynamic range value is at a high dynamic range threshold.

[0055] Specifically, a low dynamic range threshold means that the image contrast will not change significantly, and the grayscale adjustment area 1 is expanded, which makes the subsequent feature recognition of the painted point 3 more stable.

[0056] Specifically, the high dynamic range threshold indicates significant changes in image contrast. Shrinking the grayscale adjustment area 1 can reduce the error in subsequent feature recognition of the painted point 3.

[0057] In at least one embodiment, the distance is set to the diameter of the standard coating point 3.

[0058] Specifically, since the reference point is point 3, the distance is set to the diameter of the standard point 3, which can ensure small error and make reasonable use of computing power.

[0059] In at least one embodiment, please refer to Figure 3 , Figure 4 When any point 3 accounts for less than 30% of the corresponding grayscale adjustment area 1, the control module is configured to assign the point 3 to the interval area 2; when any point 3 accounts for more than 30% of the corresponding grayscale adjustment area 1, the control module is configured to assign the point 3 to the grayscale adjustment area 1.

[0060] Specifically, dividing each painted point 3 into the corresponding grayscale adjustment region 1 or interval region 2 can ensure that the input image quality meets the processing requirements, provide a basis for subsequent algorithm selection (e.g., low contrast needs to be enhanced), establish a processing benchmark, and facilitate tracking.

[0061] Based on the same technical concept, at least one embodiment also provides a detection method using the battery production line detection system described above, which includes: a control module acquiring a grayscale image of the battery separator after spot coating through a first vision detection device, a second vision detection device, and a third vision detection device; the control module adjusting the grayscale image to identify spot coating features in the grayscale image; and the control module comparing the spot coating features with preset comparison parameters to determine whether there are spot coating defects.

[0062] In summary, this invention acquires battery separator dot-coating images and converts them into corresponding grayscale images. By adjusting the grayscale images and setting appropriate grayscale values, and by adjusting preset comparison parameters during image recognition, it can reduce false positives and false negatives, thereby improving the accuracy of dot-coating defect recognition.

[0063] While this patent document contains numerous details, it should not be construed as limiting the scope of any invention or claim, but rather as a description of features of specific embodiments of a particular invention. Certain features described in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various functions described in the context of a single embodiment may also be implemented individually in multiple embodiments, or in any suitable sub-combination. Furthermore, although the foregoing features may be described as functioning in certain combinations, or even initially claimed to be so, in certain circumstances, one or more features from a combination of claims may be removed from the combination, and a combination of claims may refer to a sub-combination or a variation of a sub-combination.

[0064] Similarly, although the operations are described in a specific order in the accompanying drawings, this should not be construed as requiring the specific order or sequence shown to perform such operations, or all the described operations, in order to obtain the desired result. Furthermore, the separation of various system components in the embodiments of this patent document should not be construed as requiring such separation in all embodiments.

[0065] Only some implementations and examples are described; other implementations, enhancements, and variations can be made based on the content described and illustrated in this patent document.

[0066] While several embodiments are provided in this disclosure, it should be understood that the disclosed systems and methods may be embodied in many other specific forms without departing from the spirit or scope of this disclosure. The present examples are intended to be illustrative rather than restrictive and are not limited to the details given. For example, various elements or components may be combined or integrated into another system, or certain features may be omitted or not implemented.

[0067] In the embodiments provided herein, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the figures. For example, two consecutive blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified functions or actions, or using a combination of dedicated hardware and computer instructions.

[0068] Furthermore, without departing from the scope of this disclosure, the discrete or individual technologies, systems, subsystems, and methods described and illustrated in the various embodiments may be combined or integrated with other systems, modules, technologies, or methods. Other items shown or discussed as coupled may be directly connected or indirectly coupled or communicated via some interface, device, or intermediate component in an electrical, mechanical, or other manner. Those skilled in the art can identify other examples of changes, substitutions, and modifications without departing from the spirit and scope of this disclosure.

Claims

1. A battery production line testing system, characterized in that, include: Control module, first vision inspection device, second vision inspection device and third vision inspection device; in The first visual detection device, the second visual detection device, and the third visual detection device are electrically connected to the control module, respectively. The control module is configured to acquire grayscale images of the battery separator after spot coating through a first vision detection device, a second vision detection device, and a third vision detection device. The control module is configured to adjust the grayscale image to identify dotted features in the grayscale image; The control module is also configured to compare the dot-paint features with preset comparison parameters to determine whether there are dot-paint defects. When the control module adjusts the grayscale image, the control module is configured to divide the grayscale image after the battery separator is dotted with grayscale to divide the corresponding grayscale adjustment area and interval area. The control module is also configured to acquire the dynamic range value of each grayscale adjustment region and adjust the size of each grayscale adjustment region according to the dynamic range value; The control module is also configured to detect the proportion of each paint dot on the boundary of each grayscale adjustment area in the corresponding grayscale adjustment area, so as to divide each paint dot into the corresponding grayscale adjustment area or interval area. The control module is also configured to set corresponding standard reference gray values ​​for each grayscale adjustment area and interval area to detect the dot painting parameters of the grayscale image. When the dynamic range value of any grayscale adjustment area is at a low dynamic range threshold, the control module is configured to expand the boundary of the grayscale adjustment area outward to the interval area at a set distance. When the dynamic range value of any grayscale adjustment region is within the medium dynamic range threshold, the control module is configured to keep the boundary of the grayscale adjustment region unchanged. When the dynamic range value of any grayscale adjustment area is at the high dynamic range threshold, the control module is configured to shrink the boundary of the grayscale adjustment area inward by a set distance. When any paint dot accounts for less than 30% of the corresponding grayscale adjustment area, the control module is configured to divide the paint dot into an interval area; When any point of application accounts for no less than 30% of the corresponding grayscale adjustment area, the control module is configured to assign the point of application to the grayscale adjustment area.

2. The battery production line testing system as described in claim 1, characterized in that, The first visual inspection device, the second visual inspection device, and the third visual inspection device have the same mechanical structure and each includes: Camera and line scanner with LED light source; The linear scanning LED light source emits light towards the battery separator, so that the light is reflected or transmitted through the battery separator and then enters the camera, thereby the control module acquires the corresponding grayscale image.

3. The battery production line testing system as described in claim 1, characterized in that, The preset comparison parameters include: dot particle threshold, background mask width, background mask height, horizontal spacing of leaks, vertical spacing of leaks, horizontal detection of sticky dots, vertical spacing of sticky dots, coating rate standard, coating rate deviation tolerance, grayscale threshold of dot, roundness threshold of dot, pixel threshold of dot, dot detection area, diameter standard of dot, horizontal spacing standard of dot, vertical spacing standard of dot, diameter deviation tolerance, horizontal spacing deviation tolerance, and vertical spacing deviation tolerance.

4. The battery production line testing system as described in claim 1, characterized in that, The control module is configured to divide the grayscale image into corresponding grayscale adjustment regions and interval regions according to different grayscale thresholds, and the interval regions separate each grayscale adjustment region.

5. The battery production line testing system as described in claim 1, characterized in that, When the dynamic range value is less than 20dB, the dynamic range value is at the low dynamic range threshold. When the dynamic range value is not less than 20dB and less than 50dB, the dynamic range value is in the middle dynamic range threshold. When the dynamic range value is not less than 50dB, the dynamic range value is at the high dynamic range threshold.

6. The battery production line testing system as described in claim 1, characterized in that, Set the distance to the diameter of the standard paint dot.

7. A testing method using the battery production line testing system as described in any one of claims 1-6, characterized in that, include: The control module acquires grayscale images of the battery separator after spot coating through a first vision detection device, a second vision detection device, and a third vision detection device. The control module adjusts the grayscale image to identify dotted features in the grayscale image; The control module compares the dot-paint features with preset comparison parameters to determine whether there are any dot-paint defects.

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