CN110470217B - Method for detecting ending state of battery cell - Google Patents
Method for detecting ending state of battery cell Download PDFInfo
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- CN110470217B CN110470217B CN201910736502.3A CN201910736502A CN110470217B CN 110470217 B CN110470217 B CN 110470217B CN 201910736502 A CN201910736502 A CN 201910736502A CN 110470217 B CN110470217 B CN 110470217B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
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Abstract
The application provides a detection method of a battery cell ending state, which is used for detecting a battery cell positioned on a winding needle, and the detection method comprises the following steps: acquiring an image of a battery cell on a winding needle; acquiring data of the battery cell according to the image; judging whether the data of the battery cell is within a preset range; and determining whether the cell tail is bad according to the judgment result. The detection method of the electric core ending state can detect the ending state after the electric core is wound, can detect badness in time so that an operator can intervene in time, avoids badness in batches, and in addition, detects or disassembles the electric core through X rays in a later stage to detect, so that the detection process is simpler and more effective in time, the yield is promoted, the missed detection is prevented, and the product quality is improved.
Description
Technical Field
The application relates to the field of battery manufacturing, in particular to a method for detecting a cell ending state.
Background
At present, no method for effectively detecting the ending state of the battery cell exists in the industry, and the ending battery cell size is possibly poor due to the problems of inaccurate ending cutting, no tension after cutting, inconsistent cutting positions of a positive electrode plate and a negative electrode plate and the like. After the roll needle of winder overturns, before electric core left the roll needle, current detecting system can not carry out effectual detection, can only detect or disassemble the back at electric core through X ray in the later stage and detect, and can not realize on-line measuring, can not in time intervene bad problem, cause electric core bad in batches easily for battery finished product yield greatly reduced.
Disclosure of Invention
The application provides a method for detecting a cell ending state.
The application provides a detection method of a battery cell ending state, which is used for detecting a battery cell positioned on a winding needle, and the detection method comprises the following steps: acquiring an image of a battery cell on a winding needle;
acquiring data of the battery cell according to the image; judging whether the data of the battery cell is within a preset range; and determining whether the cell tail is bad according to the judgment result.
Further, acquiring data of the battery cell according to the image includes: judging the category of the image; acquiring data of the battery cell according to the category of the image; the image comprises a cell front image and a cell back image.
Further, the determining the category of the image includes: recording the acquired first image as a first image; recording the acquired second image as a second image; and one of the first image and the second image is an image of the front side of the battery core, and the other image is an image of the back side of the battery core.
Further, the determining the category of the image includes: judging whether a boundary exists in the image or not; when a boundary exists in the image, determining the image as a front image of the battery cell; when no boundary exists in the image, determining the image as a reverse image of the battery cell; wherein the boundary line extends in a length direction of the image.
Further, determining whether a boundary exists in the image includes: acquiring a local area in an image; judging whether a boundary exists in the local area; wherein the width of the local area is greater than half of the width of the image.
Further, the determining the category of the image includes: selecting a first detection area and a second detection area in the image; acquiring a difference value between the brightness of the first detection area and the brightness of the second detection area; when the difference value is larger than a preset threshold value, determining that the image is a battery cell front image; when the difference value is smaller than a preset threshold value, determining that the image is a reverse image of the battery cell; the first detection area and the second detection area are respectively positioned on two sides of a central line of the image, and the central line is parallel to the length direction of the image.
Further, the battery cell comprises a positive plate, a negative plate and a diaphragm positioned between the positive plate and the negative plate; the data of the battery core comprise a first distance between the edge of the diaphragm and the edge of the negative plate, a second distance between the edge of the diaphragm and the edge of the positive plate, and a third distance between the edge of the positive plate and the edge of the negative plate, wherein the edges are boundary lines perpendicular to the length direction of the image.
Further, the cell front image comprises a first area and a second area which are arranged in a direction perpendicular to the length direction, the first area comprises an edge of a first diaphragm and an edge of the positive plate, the second area comprises an edge of a second diaphragm and an edge of the negative plate, and the edges of the first diaphragm and the second diaphragm are collinear and form the edge of the diaphragm; acquiring data of the battery cell, including: when the image is a positive image of the battery core, acquiring a first coordinate of the edge of the negative plate in the length direction, a second coordinate of the edge of the positive plate in the length direction, and a third coordinate of the edge of the diaphragm in the length direction; calculating the first distance, the second distance and the third distance according to the first coordinate, the second coordinate and the third coordinate; wherein the third coordinate is a coordinate of an edge of the first diaphragm or a coordinate of an edge of the second diaphragm.
Further, acquiring a first coordinate of the edge of the negative plate in the length direction includes: acquiring sub-coordinates of a plurality of points on the edge of the negative plate; and calculating the average value of the plurality of sub-coordinates as the first coordinate.
Further, the cell reverse side image includes the edge of the diaphragm, the edge of the positive plate, and the edge of the negative plate, and acquires data of the cell, including: when the image is a reverse image of the battery core, acquiring a first coordinate of the edge of the negative plate in the length direction, a second coordinate of the edge of the positive plate in the length direction, and a third coordinate of the edge of the diaphragm in the length direction; and calculating the first distance, the second distance and the third distance according to the first coordinate, the second coordinate and the third coordinate.
The detection method of the electric core ending state can detect the ending state after the electric core is wound, can detect badness in time so that an operator can intervene in time, avoids badness in batches, and in addition, detects or disassembles the electric core through X rays in a later stage to detect, so that the detection process is simpler and more effective in time, the yield is promoted, the missed detection is prevented, and the product quality is improved.
Drawings
Fig. 1 is a schematic structural diagram of a battery cell according to the present application.
Fig. 2 is a schematic flow chart of the method for detecting the end state of the battery cell according to the present application.
Fig. 3 is a schematic diagram of a front image of a cell according to the present application.
Fig. 4 is a schematic diagram of a reverse side image of a cell according to the present application.
FIG. 5 is a flowchart illustrating an embodiment of determining a category of an image according to the present application.
FIG. 6 is a flowchart illustrating another embodiment of the present application for determining a category of an image.
FIG. 7 is a flowchart illustrating another embodiment of the present application for determining the category of an image.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the description and in the claims does not indicate any order, quantity, or importance, but rather is used to distinguish one element from another. Also, the use of the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. "plurality" or "a number" means two or more. Unless otherwise indicated, "front", "rear", "lower" and/or "upper" and the like are for convenience of description and are not limited to one position or one spatial orientation. The word "comprising" or "comprises", and the like, means that the element or item listed as preceding "comprising" or "includes" covers the element or item listed as following "comprising" or "includes" and its equivalents, and does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 to 7, the present application provides a method for detecting a cell ending state, where the method includes: acquiring an image of a battery cell on a winding needle; acquiring data of the battery cell according to the image; judging whether the data of the battery cell is within a preset range; and determining whether the cell tail is bad according to the judgment result.
Referring to fig. 1, the battery cell of the present embodiment is a flat battery cell, and includes a positive plate 1, a negative plate 2, and a diaphragm 3 located between the positive plate and the negative plate, where the positive plate 1, the diaphragm 3, the negative plate 2, and the diaphragm 4 are sequentially stacked, and the diaphragm 3 is used to ensure that the positive plate 1 and the negative plate 2 are insulated from each other. In this embodiment, the brightness of the diaphragm 3, the negative plate 2, and the positive plate 1 is sequentially reduced (or the gray scale is sequentially increased), and the data of the battery cell is acquired based on the brightness difference of the three, so as to determine whether the battery cell has a bad ending. Of course, the battery cell further includes a positive electrode tab and a negative electrode tab, which are not shown in fig. 1.
Referring to fig. 4, the method for detecting a cell ending state in this embodiment includes:
step S1: and acquiring an image of the battery cell on the winding needle.
Optionally, after the winding of the electrical core is completed and the electrical core does not leave the winding needle of the winding machine, the image of the electrical core is acquired through the camera system, and the subsequent image recognition and processing are processed by the processing system.
Step S2: and acquiring the data of the battery cell according to the image.
For a cell of a flat battery, the image acquired by the camera system may be an image of the front side of the cell or an image of the back side of the cell, that is, the image includes an image of the front side of the cell and an image of the back side of the cell. Referring to fig. 2 and fig. 3, the images of the front and back sides of the cell are different, the image of the front side of the cell includes a boundary (actually, a cut line) extending along the length direction X of the image, the two sides of the boundary are respectively a positive plate 1 with lower brightness and a negative plate 2 with medium brightness, and the image of the back side of the cell does not have such a boundary. In addition, the cell front side image and the cell back side image each show a boundary line extending in the width direction Y of the positive electrode sheet 1, the negative electrode sheet 2, and the separator 3. Therefore, the type of the image needs to be determined first, and then the data of the battery cell is acquired according to the type of the image. For a cylindrical battery, the cell is cylindrical, so the visible surface of the cell can be understood as the front surface of the cell, and the invisible other surface of the cell is the back surface of the cell.
Referring to fig. 5, in an embodiment, the determining the category of the image includes:
substep S211: the first image acquired is recorded as the first image.
Substep S212: and recording the acquired second image as a second image.
The first image is a positive image or a negative image of the battery core, and the second image is a negative image or a positive image of the battery core. It will be appreciated that the category of one of the images is determined, and the category of the other image is also determined.
Please refer to fig. 6: in another embodiment, determining the category of the image comprises:
substep S221: and judging whether a boundary exists in the image.
Optionally, the substep S221 further comprises: acquiring a local area L in the image, and judging whether a boundary exists in the local area L, wherein the width of the local area L is greater than half of the width of the image.
In this embodiment, the ratio of the widths of the positive plate region and the negative plate region is close to 1, and since the width of the local region is greater than half of the width of the image, it can be ensured that the local region necessarily includes a boundary (if the image is a cell front image). In other embodiments, the width of the local region L may also be reduced or increased as appropriate according to the different ratio of the positive plate region to the negative plate region on the front surface of the battery cell. The width of an image is understood to be the dimension of the image in the Y-direction and the length of the image is the dimension of the image in the X-direction.
Substep S222: when a boundary exists in the image, determining the image as a front image of the battery cell; and when no boundary exists in the image, determining the image as the reverse image of the battery core.
Referring to fig. 7, in another embodiment, the determining the category of the image includes:
s231: and selecting a first detection area M and a second detection area N in the image.
The first detection area M and the second detection area N are respectively positioned on two sides of a central line of the image, the central line is parallel to the length direction of the image, and the central line can be approximately determined according to image recognition.
S232: and acquiring the difference value between the brightness of the first detection area M and the brightness of the second detection area N.
Optionally, the processing system obtains the brightness of the first detection area M and the brightness of the second detection area N according to the images, and performs difference calculation.
S233: when the difference value is larger than a preset threshold value, determining that the image is a battery cell front image; and when the difference value is smaller than a preset threshold value, determining the image as a reverse image of the battery cell.
If the first detection area M and the second detection area N are respectively an anode plate area and a cathode plate area, the difference value is a relatively large value due to the brightness difference between the anode plate and the cathode plate; if the first detection area M and the second detection area N are both positive electrode plate areas, the difference is 0 or close to 0 (possibly due to detection errors or slight color difference of the material). The predetermined threshold is a value close to 0, and the specific value can be determined by experiment.
The cell front image includes a first area a and a second area B (when the image is the cell front image, the first detection area M is a part of the first area a, and the second detection area is a part of the second area B) arranged in a width direction Y (perpendicular to the length direction X), the first area a represents a part of the positive electrode sheet 1 and the first separator 31, and thus includes an edge of the first separator and an edge of the positive electrode sheet, the second area B represents a part of the negative electrode sheet 2 and the second separator 32, and thus includes an edge of the second separator and an edge of the negative electrode sheet, and the edge of the first separator and the edge of the second separator are collinear and form an edge of the separator.
Optionally, the data of the battery cell includes a first distance a between the edge of the separator and the edge of the negative electrode plate, a second distance b between the edge of the separator and the edge of the positive electrode plate, and a third distance c between the edge of the positive electrode plate and the edge of the negative electrode plate, where the edges are boundary lines perpendicular to the length direction of the image, and in this embodiment, the edges are boundary lines on the left side of the image; in other embodiments, the right boundary line is also possible.
Optionally, the image is coordinated in the length direction X. When the image is a cell front image, acquiring a first coordinate x1 of an edge of the negative electrode sheet in the length direction, a second coordinate x2 of the edge of the positive electrode sheet in the length direction, and a third coordinate x3 of the edge of the separator in the length direction, and calculating the first distance a, the second distance b, and the third distance c according to the first coordinate x1, the second coordinate x2, and the third coordinate x3 to obtain a first distance a | x1-x3|, a second distance b | x2-x3|, and a third distance c | x1-x2|, where the edge is a boundary line of each element in the length direction perpendicular to the image, and the third coordinate x3 may be a coordinate of the edge of the first separator or a coordinate of the edge of the second separator. Since the edge of the positive electrode sheet, the edge of the negative electrode sheet, and the edge of the separator all extend in the Y direction, the first coordinate, the second coordinate, and the third coordinate may be understood as the abscissa of any point on the edge of the positive electrode sheet, the edge of the negative electrode sheet, and the edge of the separator.
Taking the first coordinate as an example, the sub-coordinates of a plurality of points on the edge of the negative electrode sheet can be obtained; and calculating the average value of the plurality of sub-coordinates, wherein the average value is used as the first coordinate. Compared with the method of only taking one point, the average value of the points can represent the edge of the negative plate more, so that the method has higher reference value and is beneficial to improving the detection accuracy. Similarly, the second coordinate and the third coordinate may be obtained in a similar manner.
When the image is a cell reverse image, acquiring a first coordinate x1 of the edge of the negative plate in the length direction, a second coordinate x2 of the edge of the positive plate in the length direction, and a third coordinate x3 of the edge of the diaphragm in the length direction; and calculating the first distance a, the second distance b and the third distance c according to the first coordinate x1, the second coordinate x2 and the third coordinate x3 to obtain a first distance a ═ x1-x3|, a second distance b ═ x2-x3|, and a third distance c ═ x1-x2 |.
Step S3: and judging whether the data of the battery cell is within a preset range.
In one embodiment, it is determined that a first distance a, a second distance b, and a third distance c of a certain surface of a battery cell are within corresponding preset ranges, respectively; in another embodiment, it may also be determined whether the first distance a, the second distance b, and the third distance c of the front image of the electrical core are within the corresponding preset ranges, and whether the first distance a, the second distance b, and the third distance c of the back image of the electrical core are within the corresponding preset ranges; in other embodiments, other parameters of the battery cell, such as the length of the positive electrode sheet, the length of the negative electrode sheet, the length of the separator, and the like, may also be obtained, where the lengths refer to the dimension in the image length direction X.
Step S4: and determining whether the cell tail is bad according to the judgment result.
Optionally, if the first distance a, the second distance b and the third distance c are all within the corresponding preset ranges, the ending is considered to be qualified; on the contrary, if any one of the first distance a, the second distance b and the third distance c is out of the corresponding preset range, it may be determined that the cell tail is bad.
If the cell tail is bad, an alarm prompt, such as at least one of an optical prompt and an acoustic prompt, can be sent out through a PLC system in communication connection with the image detection system. The operator can intervene manually in time, and the closed-loop feedback system can adjust in a closed-loop mode according to the alarm prompt.
The detection method of the electric core ending state can detect the ending state after the electric core is wound, can detect badness in time so that an operator can intervene in time, and avoids the badness in batches, in addition, the detection method is simpler and more effective in time for later-stage X-ray detection or disassembly of the electric core detection, and is more rapid and accurate for visual inspection, so that the electric core production process is in a better controllable state, the yield is favorably improved, the missed inspection is prevented, and the product quality is improved.
Although the present application has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application, and all changes, substitutions and alterations that fall within the spirit and scope of the application are to be understood as being covered by the following claims.
Claims (7)
1. A method for detecting the ending state of a battery cell is used for detecting the battery cell on a winding needle, and is characterized by comprising the following steps:
acquiring an image of a battery cell on a winding needle;
acquiring data of the battery cell according to the image;
judging whether the data of the battery cell is within a preset range;
determining whether the cell tail is bad according to the judgment result;
the acquiring data of the battery cell according to the image includes:
judging the category of the image;
acquiring data of the battery cell according to the category of the image;
the image comprises a cell front image and a cell back image;
the judging the category of the image comprises the following steps:
selecting a first detection area and a second detection area in the image;
acquiring a difference value between the brightness of the first detection area and the brightness of the second detection area;
when the difference value is larger than a preset threshold value, determining that the image is a battery cell front image; when the difference value is smaller than a preset threshold value, determining that the image is a reverse image of the battery cell;
the first detection area and the second detection area are respectively positioned on two sides of a central line of the image, and the central line is parallel to the length direction of the image.
2. The detection method according to claim 1, wherein the battery cell comprises a positive plate, a negative plate and a diaphragm positioned between the positive plate and the negative plate;
the data of the battery core comprise a first distance between the edge of the diaphragm and the edge of the negative plate, a second distance between the edge of the diaphragm and the edge of the positive plate, and a third distance between the edge of the positive plate and the edge of the negative plate, wherein the edges are boundary lines perpendicular to the length direction of the image.
3. The detection method according to claim 2, wherein the cell front image includes a first region and a second region arranged in a direction perpendicular to the length direction, the first region includes an edge of the first separator and an edge of the positive electrode sheet, the second region includes an edge of the second separator and an edge of the negative electrode sheet, and the edges of the first separator and the second separator are collinear and form an edge of the separator;
acquiring data of the battery cell, including:
when the image is a positive image of the battery core, acquiring a first coordinate of the edge of the negative plate in the length direction, a second coordinate of the edge of the positive plate in the length direction, and a third coordinate of the edge of the diaphragm in the length direction;
calculating the first distance, the second distance and the third distance according to the first coordinate, the second coordinate and the third coordinate;
wherein the third coordinate is a coordinate of an edge of the first diaphragm or a coordinate of an edge of the second diaphragm.
4. The detection method according to claim 3, wherein obtaining first coordinates of the edge of the negative electrode sheet in the length direction comprises:
acquiring sub-coordinates of a plurality of points on the edge of the negative plate;
and calculating the average value of the plurality of sub-coordinates as the first coordinate.
5. The detection method according to claim 3, wherein the cell reverse side image comprises an edge of the separator, an edge of the positive plate and an edge of the negative plate,
acquiring data of the battery cell, including:
when the image is a reverse image of the battery core, acquiring a first coordinate of the edge of the negative plate in the length direction, a second coordinate of the edge of the positive plate in the length direction, and a third coordinate of the edge of the diaphragm in the length direction;
and calculating the first distance, the second distance and the third distance according to the first coordinate, the second coordinate and the third coordinate.
6. A method for detecting the ending state of a battery cell is used for detecting the battery cell on a winding needle, and is characterized by comprising the following steps:
acquiring an image of a battery cell on a winding needle;
acquiring data of the battery cell according to the image;
judging whether the data of the battery cell is within a preset range;
determining whether the cell tail is bad according to the judgment result;
the acquiring data of the battery cell according to the image includes:
judging the category of the image;
acquiring data of the battery cell according to the category of the image;
the image comprises a cell front image and a cell back image;
the judging the category of the image comprises the following steps: judging whether a boundary exists in the image or not;
when a boundary exists in the image, determining the image as a front image of the battery cell; when no boundary exists in the image, determining the image as a reverse image of the battery cell;
wherein the boundary line extends in a length direction of the image.
7. The detection method of claim 6, wherein determining whether a boundary exists in the image comprises:
acquiring a local area in an image;
judging whether a boundary exists in the local area;
wherein the width of the local area is greater than half of the width of the image.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130025760A (en) * | 2011-09-02 | 2013-03-12 | 엘지전자 주식회사 | Position correction apparatus for secondary battery manufacturing system and method thereof |
| CN108180826A (en) * | 2017-12-20 | 2018-06-19 | 深圳湾新科技有限公司 | A kind of detection device and detection method on lithium battery coiling winding layer boundary |
| CN109273733A (en) * | 2018-09-10 | 2019-01-25 | 无锡先导智能装备股份有限公司 | Battery core automatic deviation correction ending system and battery core automatic deviation correction ending method |
| CN109685789A (en) * | 2018-12-24 | 2019-04-26 | 广州超音速自动化科技股份有限公司 | The battery core surface gummed paper detection method and device of view-based access control model detection |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2947026B2 (en) * | 1993-10-27 | 1999-09-13 | 富士電気化学株式会社 | How to detect battery label winding misalignment |
| CN102853785B (en) * | 2012-04-25 | 2015-08-19 | 浙江大学 | Contactless bamboo silk pros and cons identification system and discrimination method |
| CN105091765B (en) * | 2015-05-15 | 2017-09-26 | 浙江工业大学 | A kind of method of discrimination of cage retainer positive and negative |
| CN107255452B (en) * | 2017-04-20 | 2019-07-09 | 浙江工业大学 | Double LED light formula retainer front and back sides image-recognizing method |
| CN107402219A (en) * | 2017-08-21 | 2017-11-28 | 苏州巨智能装备有限公司 | Battery core apparent visual detection device and its detection method |
| CN107490754B (en) * | 2017-09-22 | 2019-12-03 | 湘南学院 | A method of detection exchange 110V-LED chip |
-
2019
- 2019-08-09 CN CN201910736502.3A patent/CN110470217B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130025760A (en) * | 2011-09-02 | 2013-03-12 | 엘지전자 주식회사 | Position correction apparatus for secondary battery manufacturing system and method thereof |
| CN108180826A (en) * | 2017-12-20 | 2018-06-19 | 深圳湾新科技有限公司 | A kind of detection device and detection method on lithium battery coiling winding layer boundary |
| CN109273733A (en) * | 2018-09-10 | 2019-01-25 | 无锡先导智能装备股份有限公司 | Battery core automatic deviation correction ending system and battery core automatic deviation correction ending method |
| CN109685789A (en) * | 2018-12-24 | 2019-04-26 | 广州超音速自动化科技股份有限公司 | The battery core surface gummed paper detection method and device of view-based access control model detection |
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