CN113552133B - Cell skirt edge cracking detection method and visual detection device - Google Patents

Cell skirt edge cracking detection method and visual detection device Download PDF

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CN113552133B
CN113552133B CN202110742201.9A CN202110742201A CN113552133B CN 113552133 B CN113552133 B CN 113552133B CN 202110742201 A CN202110742201 A CN 202110742201A CN 113552133 B CN113552133 B CN 113552133B
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不公告发明人
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Guangdong Lyric Robot Automation Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8806Specially adapted optical and illumination features
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T5/90Dynamic range modification of images or parts thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8806Specially adapted optical and illumination features
    • G01N2021/8841Illumination and detection on two sides of object
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

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Abstract

The application relates to the technical field of battery cell detection, in particular to a battery cell skirt edge cracking detection method and a visual detection device. Meanwhile, accurate and clear pictures can be acquired through the visual detection device and the battery cell image acquisition method, a stable positioning measurement function is realized, the cracking condition of the skirt edge of the battery cell can be accurately detected through the acquired images, the production quality of the battery cell is ensured, and the detection efficiency is improved.

Description

Cell skirt edge cracking detection method and visual detection device
Technical Field
The application relates to the technical field of battery cell detection, in particular to a battery cell skirt cracking detection method and a visual detection device.
Background
In the production process of the lithium battery, the edge folding forming treatment is required to be carried out on the skirt edge of the packaged soft package battery cell, and the situation that the skirt edge is cracked after being folded can occur after the skirt edge is bent, namely, the gap between the skirt edge and the battery cell main body after being folded is too large. Adopt artifical visual inspection's mode to choose out the defective products electricity core that the shirt rim ftractures among the prior art, however because the clearance between shirt rim and the electric core main part is less, artifical visual inspection exists the electric core that detects inaccurate, can't detect the fracture defective products, causes electric core to have the quality problems in the production process to lead to production efficiency to hang down.
Disclosure of Invention
In order to solve the technical problem, the application provides a method for detecting cracking of a battery cell skirt edge, which comprises the following steps:
s100, obtaining a gray level image of the battery cell, and obtaining an initial positioning following space of a top sealing angular point of the battery cell;
s200, obtaining a fine positioning following space of a top sealing angular point of the battery core;
s300, identifying a battery cell skirt line segment close to the top seal angular point through a battery cell gray level image, and obtaining n point positions of the skirt line segment;
s400, obtaining a side straight line of the cell main body close to the skirt line segment;
s500, calculating a distance value D from each point on the skirt line segment to the main body side line one by one according to the distance from the point to the line;
s600, comparing the distance value D with a set value A, judging that the battery cell is qualified if the distance value D is less than or equal to A, and judging that the battery cell is unqualified if the distance value D is greater than A.
The method has the advantages of being good in interactivity, strong in anti-interference capability, stable in detection system, stable in machine vision image processing logic and high in detection efficiency.
Preferably, in step S100, the grayscale image of the battery cell is matched with a preset battery cell template, and is subjected to a spot positioning method or an angle finding positioning method, so as to obtain an initial positioning following space of the top sealing angle point of the battery cell.
Preferably, in step S300, an image edge gray difference is obtained by an image gray difference method, so as to obtain n points of a battery cell skirt line segment. And then accurately acquiring n point positions of the battery cell skirt edge by an image gray difference method.
Preferably, the visual inspection device is used for acquiring an image of the battery cell, and includes a frame body for bearing the battery cell for inspection, bar-shaped light sources symmetrically installed on the frame body and located on two sides of the skirt of the battery cell, and a backlight source irradiated at the bottom of the battery cell, wherein an image device is arranged on the battery cell opposite to the other side of the backlight source. And then utilize the combination of 0 angle parallel stripe light of two sets of bar light sources and the backlight of backlight to the mode of combination light is beaten electric core shirt rim and main part limit dark, and then is beaten the gap between electric core shirt rim and the electric core main part limit bright, acquires clear electric core main part profile.
Preferably, the imaging device comprises two cameras which are arranged at intervals along the extension direction of the battery tab.
Preferably, the image device further comprises a protective sleeve sleeved on the periphery of the camera.
Preferably, the frame body is provided with a detection assembly for detecting the in-place state of the battery core.
Preferably, the height adjusting device further comprises an adjusting assembly for adjusting the height of the shelf body; the adjusting assembly comprises a plurality of guide posts which are arranged with the frame body in a sliding manner and a fixing block for fixing the frame body and the guide posts; and an adjusting screw is arranged on any one guide post.
Preferably, the imaging device further comprises a calibration board for measuring the distance between the two cameras. The photos shot by the two cameras can be calculated through the calibration plate, and then the photos are combined to form a complete battery cell image.
A cell image acquisition method based on the visual detection device comprises the following steps:
a100, closing two groups of strip-shaped light sources, turning on a backlight source and irradiating the backlight source to the bottom of the battery cell, and shooting the top of the battery cell by an image device to obtain a first image;
and A200, opening two groups of strip light sources, opening a backlight source, shooting the top of the battery core by the image equipment, and obtaining a second image. The product image is obtained by the cell image obtaining method, the standard deviation of the size range of the product is not more than 1 pixel, and therefore the stable positioning measurement function can be realized, and the size of the product can be accurately detected.
Compared with the prior art, the beneficial effect of this application is: this application is through obtaining electric core image, through n position and the fitting electric core side straight line that obtains the shirt rim line segment, realizes detecting the problem of judging whether there is the fracture in the shirt rim through the distance that detects shirt rim to electric core main part side, uses this method to improve and detects the accuracy, possesses that the interactivity is good, the interference killing feature is strong, detecting system is stable, the stable advantage of machine vision image processing logic, detection efficiency is high. Meanwhile, accurate and clear pictures can be acquired through the visual detection device and the battery cell image acquisition method, a stable positioning measurement function is realized, the cracking condition of the skirt edge of the battery cell can be accurately detected through the acquired images, the production quality of the battery cell is ensured, and the detection efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments of the present application or the prior art will be briefly described below. It should be apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained by those skilled in the art without inventive exercise.
Fig. 1 is a flow chart of a method for detecting cracking of a cell skirt in an embodiment of the present application;
FIG. 2 is a schematic view of a visual inspection apparatus according to an embodiment of the present application;
FIG. 3 is a second image obtained by the vision inspection device according to the embodiment of the present application;
fig. 4 is a first image obtained by the visual inspection apparatus according to the embodiment of the present application.
FIG. 5 is a schematic structural diagram of a visual inspection apparatus according to an embodiment of the present application;
FIG. 6 is a schematic structural diagram of an adjustment assembly according to an embodiment of the present application;
fig. 7 is a schematic view of a frame structure of a visual inspection apparatus according to an embodiment of the present application.
Reference numerals
10. A frame body; 11. a detection component; 12. an adjustment assembly; 121. a guide post; 122. a fixed block; 123. adjusting screws; 124. a linear bearing; 125. a guide sleeve; 20. a backlight source; 30. a strip light source; 40. an imaging device; 41. and (6) a protective sleeve.
Detailed Description
In the following description, numerous implementation details are set forth in order to provide a thorough understanding of the present invention. It should be understood, however, that these implementation details should not be taken to limit the application. That is, in some embodiments of the present application, such practical details are not necessary. In addition, some conventional structures and components are shown in simplified schematic form in the drawings for the sake of simplicity.
It should be noted that all the directional indicators in the embodiment of the present application, such as up, down, left, right, front, and back … …, are only used to explain the relative position relationship between the components, the motion situation, etc. in a specific posture as shown in the drawing, if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in this application are for descriptive purposes only, not specifically referring to the order or sequence, nor are they intended to limit the application, but merely to distinguish components or operations described in the same technical terms, and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In addition, technical solutions between the embodiments may be combined with each other, but must be based on the realization of the technical solutions by a person skilled in the art, and when the technical solutions are contradictory to each other or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope claimed in the present application.
For a further understanding of the invention, its features and effects, reference is made to the following examples, which are set forth in detail in conjunction with the accompanying drawings:
in order to solve the above technical problem, this embodiment provides a method for detecting cracking of a battery cell skirt, as shown in fig. 1, including the following steps:
s100, obtaining a gray level image of the battery cell, and obtaining an initial positioning following space of a top sealing angular point of the battery cell;
the image equipment through the visual detection device acquires a cell gray image, as shown in fig. 3, the visual detection device utilizes two 0-angle parallel strip lights to combine backlight, darken the cell skirt and the main body edge in a combined light mode, further lighten the gap between the cell skirt and the main body edge of the cell, acquire a clear cell main body outline, match the cell gray image with a preset cell template, establish a reference position, and can also position the battery angular point through a spot tool or an angle finding tool, and further acquire a cell top seal angular point initial positioning following space. Obtaining the initial positioning following space of the top sealing angular point of the battery cell, wherein the skirts of the battery cell are formed on the left side and the right side of the battery cell, so that cracking detection needs to be performed on the skirts on the left side and the right side at the same time, and the detection modes of the skirts on the left side and the right side are the same, so that the embodiment takes the detection of the cracking condition of the left skirt as an example for explanation.
S200, fitting the angular points through a least square method to obtain a fine positioning following space of the top seal angular points of the battery cell;
and fitting the angular points of the battery cell main body contour top seal by a least square method, and then accurately positioning the battery cell top seal left corner to obtain a following space for accurately positioning the battery cell top seal left corner.
S300, identifying a battery cell skirt line segment close to a top seal angular point through a battery cell gray level image, and obtaining n point positions of the battery cell side skirt line segment;
the method comprises the steps of obtaining image edge gray level difference through an image gray level difference method, identifying an electric core left side skirt edge line segment, finding n point positions with uniform electric core left side skirt edge line segment equidistance, wherein the number of the point positions is at least more than 3, the number of the point positions comprises two end points of the line segment and a middle point of the line segment, the specific point taking number can be set according to the size and the model of a product, and the more the number of the point positions, the more the detection result is accurate.
S400, fitting a straight line by a least square method to obtain a left/right side straight line of the cell main body;
and fitting a straight line to the outline of the battery cell main body by using a least square method, and obtaining the straight line of the left side edge of the battery cell main body.
S500, calculating the distance value D from each point on the left/right skirt line segment to the straight line on the left/right side of the main body one by one according to the distance from the point to the straight line;
and calculating the distance value D from each point position on the left skirt line segment to the straight line of the side edge of the battery cell main body according to the distance from the point to the straight line, and further obtaining a plurality of distance values D.
S600, comparing the distance value D with a set value A, judging that the battery cell is qualified if the distance value D is less than or equal to A, and judging that the battery cell is unqualified if the distance value D is greater than A.
The method comprises the steps of presetting a maximum value A in a system, comparing distance values D from each skirt point position to the side edge of a cell main body with a set value A, if one distance value D is larger than A, indicating that the skirt is cracked, judging that the cell is unqualified, picking out defective cells, and if each distance value D is smaller than or equal to A, judging that the cell is qualified. And then realize detecting the problem of judging whether the shirt rim has the fracture through detecting the distance of shirt rim to electric core main part side, use this method to improve and detect the accuracy, possess that the interactivity is good, the interference killing feature is strong, detecting system is stable, machine vision image processing logic is stable advantage, detection efficiency is high.
In order to accurately acquire an image of an electrical core, as shown in fig. 2 and fig. 5, this embodiment provides a visual inspection apparatus for acquiring an image of an electrical core, including a frame body 10 for bearing a horizontal electrical core, bar light sources 30 symmetrically installed on the frame body 10 and located at two sides of a skirt of the electrical core, and a backlight 20 irradiated at the bottom of the electrical core, where an imaging device 40 is located on the other side of the electrical core, where the other side is opposite to the backlight 20.
As shown in fig. 7, a detection assembly 11 for detecting that the battery cell is in place is disposed on the frame body 10, the detection assembly 11 may be a correlation optical fiber sensor, and after the battery cell is placed on the frame body 10, the detection assembly 11 detects that the battery cell is placed in place, and then the imaging device 40 starts to shoot the battery cell.
Specifically, to the great electric core of model size, a camera equipment is difficult to acquire the picture of whole electric core, and for this reason, image equipment 40 includes two cameras that set up along the extending direction interval of battery tab, and the interval of two cameras is 100mm, and image equipment 40 still includes the calibration board that is used for measuring two camera distances, can calculate the photo that two cameras were taken out and then make up and form complete electric core image through the calibration board. In order to protect the lens of the camera, a protective sleeve 41 is sleeved on the camera, and the lens is prevented from being damaged due to collision.
Further, the distance between the two cameras and the upper surface of the battery core is 650mm, and the distance between the two groups of bar-shaped light sources 30 is 200mm. The distance between the backlight source 20 and the bottom of the battery cell is 50mm, and then the 0-angle parallel strip light of the two groups of strip light sources 30 is combined with the backlight of the backlight source 20, so that the battery cell skirt edge and the main body edge are darkened in a combined light mode, and then the gap between the battery cell skirt edge and the main body edge is lightened, a clear battery cell main body outline is obtained, through setting the distance parameters, the camera view range is 156mm × 117mm, the image theoretical precision is 0.028mm/pixel, and then the accurate positioning and detection functions are realized. The method comprises the following steps of (1) obtaining compatible cell size according to needs provided by a customer, wherein the maximum size of the cell length is 180mm, the short side of the visual field of a selected 2000 ten thousand cameras is 117mm, the two cameras are used in a matching way, and the single-pixel precision can be obtained by calculating according to the long side of the visual field and the resolution of the cameras: 117/3840=0.028mm/pixel, meeting the test requirements.
Wherein, to different electric core models, different electric core heights need to be selected, for this reason, as shown in fig. 6, be provided with adjusting part 12 on the support body 10, adjusting part 12 includes four guide posts 121 that slide to set up with support body 10, and the fixed block 122 that is used for fixed support body 10 and guide post 121, guide post 121 and support body 10 pass through linear bearing 124 and connect, and then support body 10 and guide post 121 can slide the setting relatively, realize reducing the friction between guide post 121 and support body 10 through linear bearing 124. An adjusting screw 123 and a guide sleeve 125 are arranged on any one guide column 121, and the guide sleeve 125 plays a guiding role. The fixed block 122 sets up on two of them guide posts 121, when adjusting the support body 10, loosens the bolt on the fixed block 122 earlier, through adjusting the adjusting screw 123 on one of them guide post 121, and then support body 10 and guide post 121 relative slip realize altitude mixture control, and after the adjustment was accomplished, realize fixed block 122 fixed support body 10 and guide post 121 through screwing up the bolt, realize carrying out altitude mixture control to the support body.
In order to achieve the purpose of obtaining a clear cell image, this embodiment further provides a cell image obtaining method, where the cell image obtaining method is based on the foregoing visual detection apparatus, and includes the following steps:
a100, turning off two groups of strip-shaped light sources 30, turning on a backlight source 20 and irradiating the bottom of the battery cell, and shooting the top of the battery cell by an image device 40 to obtain a first image;
turning on the backlight source 20 and turning off the two sets of bar light sources 30, wherein the backlight source 20 irradiates the bottom of the battery core, and the imaging device 40 shoots the top of the battery core to obtain a first image, as shown in fig. 4, the first image may be processed according to a least square method through the first image, so as to calculate the length and width dimensions of the battery and the tab edge distance.
A200, opening two groups of strip light sources 30, opening a backlight source 20, shooting the top of the battery cell by an image device 40, obtaining a second image, and detecting the cracking condition of the battery cell skirt by the battery cell skirt cracking detection method according to the second image to ensure accurate detection.
By using the visual detection device and the battery cell image acquisition method, a lighting test is performed in a laboratory, and the acquired picture is subjected to visual software processing, wherein the test result is as follows:
Figure BDA0003141737110000111
Figure BDA0003141737110000121
TABLE 1
As can be seen from table 1 above, in the product reference positioning condition in the electrical core image acquisition method, the standard deviation of the size data of number 1 is 0.0161, and the range is 0.067; the standard deviation of the size data of the serial number 2 is 0.0257, and the range is 0.118, so that the product size range and the standard deviation of the product image obtained by the visual detection device and the battery cell image obtaining method are not more than 1 pixel, a stable positioning measurement function can be realized, and the obtained image can accurately detect the size of the product.
In summary, in one or more embodiments of the present application, the present application implements obtaining n point locations of the skirt line segment and fitting a cell side straight line by processing the cell image, and implements detecting and determining whether the skirt cracks by detecting a distance from the skirt to a cell main body side. Meanwhile, accurate and clear pictures can be acquired through the visual detection device and the battery cell image acquisition method, a stable positioning measurement function is realized, the cracking condition of the skirt edge of the battery cell can be accurately detected through the acquired images, the production quality of the battery cell is ensured, and the detection efficiency is improved.
The above-described embodiments do not limit the scope of the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the above-described embodiments should be included in the protection scope of the technical solution.

Claims (10)

1. The method for detecting cracking of the skirt edge of the battery cell is characterized by comprising the following steps of: the method comprises the following steps:
s100, obtaining a gray level image of the battery cell, and obtaining an initial positioning following space of a top sealing angular point of the battery cell;
s200, obtaining a fine positioning following space of a top sealing angular point of the battery core;
s300, identifying a battery cell skirt line segment close to the top seal angular point through a battery cell gray level image, and obtaining n point positions of the skirt line segment;
s400, obtaining a side straight line of the cell main body close to the skirt line segment;
s500, calculating a distance value D from each point on the skirt line segment to a side line of the cell main body one by one according to the distance from the point to the line;
s600, comparing the distance value D with a set value A, judging that the battery cell is qualified if the distance value D is less than or equal to A, and judging that the battery cell is unqualified if the distance value D is greater than A.
2. The method for detecting cracking of the cell skirt according to claim 1, wherein: in step S100, the grayscale image of the battery cell is matched with a preset battery cell template, or is subjected to a speckle localization method or an angle finding localization method, so as to obtain an initial localization following space of the top sealing angle point of the battery cell.
3. The method for detecting cracking of the cell skirt according to claim 1, wherein: in step S300, an image edge gray difference is obtained by an image gray difference method, and n points of a line segment at the skirt edge of the battery cell are obtained.
4. The method for detecting cracking of the cell skirt according to claim 1, wherein: the method comprises the steps that the cell gray level image in the step S100 is obtained through a visual detection device, the visual detection device comprises a frame body (10) used for bearing cell detection, strip-shaped light sources (30) which are symmetrically installed on the frame body (10) and located on two sides of a skirt edge of the cell, and a backlight source (20) irradiated to the bottom of the cell, and image equipment (40) is arranged on the other side, located on the cell, of the cell, and opposite to the backlight source (20).
5. The cell skirt cracking detection method of claim 4, wherein: the imaging device (40) comprises two cameras which are arranged at intervals along the extension direction of the battery pole lug.
6. The method for detecting cracking of the battery cell skirt according to claim 5, wherein: the image device (40) further comprises a protective sleeve (41) sleeved on the periphery of the camera.
7. The cell skirt cracking detection method of claim 4, wherein: the frame body (10) is provided with a detection assembly (11) for detecting the electric core in place.
8. The cell skirt cracking detection method of claim 4, wherein: the height of the rack body (10) is adjusted through an adjusting assembly (12); the adjusting assembly (12) comprises a plurality of guide columns (121) which are arranged with the frame body (10) in a sliding manner, and fixing blocks (122) which are used for fixing the frame body (10) and the guide columns (121); an adjusting screw (123) is arranged on any one guide column (121).
9. The method for detecting cracking of the battery cell skirt according to claim 5, wherein: the imaging device further comprises a calibration plate for measuring the distance between the two cameras.
10. The cell skirt cracking detection method of claim 4, wherein: the step of acquiring the cell grayscale image in step S100 by the visual inspection apparatus includes the following steps:
a100, closing two groups of strip-shaped light sources, turning on a backlight source and irradiating the backlight source to the bottom of the battery cell, and shooting the top of the battery cell by an image device to obtain a first image;
and A200, opening the two groups of strip-shaped light sources, opening the backlight source, shooting the top of the battery cell by the image equipment, and obtaining a second image.
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* Cited by examiner, † Cited by third party
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CN113744273B (en) * 2021-11-08 2022-02-18 武汉逸飞激光股份有限公司 Soft package battery cell edge folding detection method and device, electronic equipment and storage medium
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Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009040649A1 (en) * 2008-09-11 2010-05-20 Schott Ag Method and apparatus for generating digital frames of disc-shaped elements in a manufacturing process
JP2015059817A (en) * 2013-09-18 2015-03-30 トヨタ自動車株式会社 Secondary battery visual inspection method and secondary battery visual inspection device
US10127647B2 (en) * 2016-04-15 2018-11-13 Ecoatm, Llc Methods and systems for detecting cracks in electronic devices
CN110097540A (en) * 2019-04-20 2019-08-06 东莞中科蓝海智能视觉科技有限公司 The visible detection method and device of polygon workpeace
CN111189839A (en) * 2020-01-10 2020-05-22 广东利元亨智能装备股份有限公司 Single-camera detection device and single-camera detection method
CN111307818B (en) * 2020-02-25 2021-07-20 华南理工大学 Visual online detection method for laser welding spot of lithium battery tab
CN112858334B (en) * 2021-02-23 2023-09-01 蜂巢能源科技股份有限公司 Lithium battery pole piece detection method and device, storage medium and electronic equipment

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