CN110889842A - Method for detecting looseness of small cigarette pack cigarette label - Google Patents

Method for detecting looseness of small cigarette pack cigarette label Download PDF

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Publication number
CN110889842A
CN110889842A CN201911194928.7A CN201911194928A CN110889842A CN 110889842 A CN110889842 A CN 110889842A CN 201911194928 A CN201911194928 A CN 201911194928A CN 110889842 A CN110889842 A CN 110889842A
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image
detected
small
cigarette pack
gray level
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CN110889842B (en
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黄溢清
樊华
徐军
王凯
詹德清
欧立国
陈鹏
周明芳
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CHANGDE HONGTONG ELECTROMECHANICAL TECHNOLOGY Co Ltd
Changde Goldroc Printing Co ltd
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CHANGDE HONGTONG ELECTROMECHANICAL TECHNOLOGY Co Ltd
Changde Goldroc Printing Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/0006—Industrial image inspection using a design-rule based approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)

Abstract

The invention discloses a method for detecting the looseness of a small cigarette pack label, which comprises the steps of obtaining a pouring image of the small cigarette pack label to be detected, carrying out image preprocessing on the pouring image to obtain a characteristic image corresponding to the pouring image, carrying out gray level processing on the characteristic image to obtain a gray level image corresponding to the characteristic image, carrying out binarization processing on the gray level image to obtain a binarization image corresponding to the gray level image, and obtaining a detection result whether the looseness of the small cigarette pack label to be detected meets the standard or not according to the binarization image. Therefore, the method for detecting the looseness of the small box cigarette label, provided by the invention, can obtain a detection result whether the looseness of the small box cigarette label to be detected meets the standard or not only by acquiring the toppled image of the small box cigarette label to be detected after toppling, and performing image preprocessing, gray processing and binarization processing on the toppled image.

Description

Method for detecting looseness of small cigarette pack cigarette label
Technical Field
The invention relates to the technical field of package detection, in particular to a method for detecting the looseness of small cigarette pack labels.
Background
The cigarette label is a trademark of a cigarette product and is commonly called a cigarette case. The small-box cigarette labels are usually stacked before being packaged, and are not loose enough due to insufficient distance between the cigarette labels or ink adhesion, so that when the cigarette labels are extracted on a packaging machine, the cigarette labels below can be taken away by the cigarette labels above, namely, the situation of taking more cigarettes in the single-sheet absorbing process can be realized.
At present, manual appearance is mainly adopted in China to detect the looseness of small cigarette pack labels, and unqualified products with the cigarette labels obviously not loose enough are selected. However, manual detection is easily affected by subjective consciousness, the accuracy of detection is difficult to guarantee, the efficiency of manual detection is low, and the informatization management of product quality cannot be realized.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for detecting the looseness of small cigarette pack labels, which can improve the detection efficiency of the looseness of small cigarette pack labels and ensure the detection accuracy.
The invention provides a method for detecting the looseness of a small-box cigarette label, which comprises the following steps:
acquiring a dumping image of the small cigarette pack to be detected;
performing image preprocessing on the toppling image to obtain a characteristic image corresponding to the toppling image;
carrying out gray level processing on the characteristic image to obtain a gray level image corresponding to the characteristic image;
carrying out binarization processing on the gray level image to obtain a binarization image corresponding to the gray level image;
and obtaining a detection result whether the looseness of the small cigarette pack to be detected meets the standard or not according to the binary image.
Preferably, the acquiring of the pouring image of the small cigarette pack to be detected includes:
dumping the small cigarette pack to be detected to a fixed angle;
irradiating the small box cigarette label to be detected after being poured by a light source;
and acquiring a dumping image of the small cigarette pack to be detected by a camera.
Preferably, the image preprocessing on the pouring image to obtain a feature image corresponding to the pouring image includes:
and performing one or more of image abnormity discrimination, image filtering, brightness correction, geometric correction and region-of-interest detection on the toppled image to obtain a characteristic image corresponding to the toppled image.
Preferably, the performing gray scale processing on the feature image to obtain a gray scale image corresponding to the feature image includes:
and replacing RGB (R, G and B) in the characteristic image with RGB (Gray, Gray and Gray) by a formula of Gray ═ R + G + B)/3 to obtain a Gray level image corresponding to the characteristic image.
Preferably, the binarizing the grayscale image to obtain a binarized image corresponding to the grayscale image includes:
and carrying out binarization processing on the gray level image, setting the gray level value of all pixel points, which is less than or equal to a set binarization threshold value, to be 0, and setting the gray level value of the pixel points, which is greater than the set binarization threshold value, to be 1, so as to obtain the binarization image corresponding to the gray level image.
Preferably, the obtaining of the detection result whether the looseness of the small cigarette pack label to be detected meets the standard according to the binary image includes:
traversing each pixel point according to the binary image, and counting the number of continuous pixel points with the gray value of 1;
if the number of the continuous pixel points is larger than a set number threshold value, determining that the looseness of the small box cigarette label to be detected does not meet the standard;
and if the condition that the number of the continuous pixel points is larger than the set number threshold value does not exist, judging that the looseness of the small box cigarette pack to be detected meets the standard.
Preferably, the light source is a strip light source, and the strip light source is located on the side face of the small cigarette pack to be detected.
Preferably, the camera is positioned right above the small cigarette pack to be detected.
The method for detecting the looseness of the small cigarette pack label comprises the steps of obtaining a pouring image of the small cigarette pack label to be detected, conducting image preprocessing on the pouring image to obtain a characteristic image corresponding to the pouring image, conducting gray level processing on the characteristic image to obtain a gray level image corresponding to the characteristic image, conducting binarization processing on the gray level image to obtain a binarization image corresponding to the gray level image, and obtaining a detection result whether the looseness of the small cigarette pack label to be detected meets the standard or not according to the binarization image. Therefore, the method for detecting the looseness of the small cigarette pack cigarette label provided by the embodiment of the invention can obtain the detection result whether the looseness of the small cigarette pack cigarette label to be detected meets the standard or not only by acquiring the toppled image of the small cigarette pack cigarette label to be detected after toppling, and performing image preprocessing, gray processing and binarization processing on the toppled image.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a method for detecting the looseness of a small cigarette pack label according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another method for detecting the looseness of a small cigarette pack label according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or be indirectly disposed on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings that is solely for the purpose of facilitating the description and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be considered as limiting the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only 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 one or more of that feature. In the description of the present application, the meaning of a plurality of or a plurality of is two or more unless specifically limited otherwise.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for understanding and reading the contents disclosed in the specification, and are not used for limiting the conditions that the present application can implement, so the present invention has no technical significance, and any structural modification, ratio relationship change or size adjustment should still fall within the scope of the technical content disclosed in the present application without affecting the efficacy and the achievable purpose of the present application.
As mentioned in the background section, the poor looseness of the small cigarette labels can lead to the fact that the upper cigarette label takes away the lower cigarette label when the cigarette label is picked up on the packing machine, i.e. there is a situation of taking more in the process of picking up a single cigarette label.
In view of this, the present invention provides a method for detecting the looseness of a small cigarette label, and please refer to fig. 1, a flow chart of the method for detecting the looseness of a small cigarette label provided by the embodiment of the present invention includes:
and S110, acquiring a pouring image of the small cigarette pack to be detected.
It should be noted that, in the case of a small stack of cigarette labels, the cigarette labels should be evenly distributed with a certain distance after being poured. Therefore, the looseness of the small cigarette pack can be detected by detecting the side state of the small cigarette pack after the small cigarette pack is toppled.
In this embodiment, can acquire the image of empting after waiting to detect the capsule cigarette pack and topple over through image acquisition device, wherein, the image of empting that acquires is the color image.
And S120, carrying out image preprocessing on the toppling image to obtain a characteristic image corresponding to the toppling image.
In this embodiment, because the acquired toppling image includes image noise, an image with shooting abnormality, and the like, the abnormal image needs to be identified and subjected to denoising, and the toppling image may be preprocessed by using frequency domain filtering to obtain a feature image corresponding to the toppling image.
And S130, carrying out gray level processing on the characteristic image to obtain a gray level image corresponding to the characteristic image.
In this embodiment, in order to reflect the morphological features of the image, the feature image is subjected to grayscale processing to obtain a grayscale image corresponding to the feature image, so as to prepare for further image analysis.
And S140, carrying out binarization processing on the gray level image to obtain a binarization image corresponding to the gray level image.
In this embodiment, the grayscale image is binarized to obtain a binarized image corresponding to the grayscale image, so that the image recognition efficiency is improved.
S150, obtaining a detection result whether the looseness of the small cigarette pack to be detected meets the standard or not according to the binary image.
As can be seen from the above, in the method for detecting the looseness of the small cigarette pack label provided by the embodiment of the present invention, the toppling image of the small cigarette pack label to be detected is obtained, the image preprocessing is performed on the toppling image, the characteristic image corresponding to the toppling image is obtained, the gray level processing is performed on the characteristic image, the gray level image corresponding to the characteristic image is obtained, the binarization processing is performed on the gray level image, the binarization image corresponding to the gray level image is obtained, and the detection result whether the looseness of the small cigarette pack label to be detected meets the standard or not is obtained according to the binarization image. Therefore, the method for detecting the looseness of the small cigarette pack cigarette label provided by the embodiment of the invention can obtain the detection result whether the looseness of the small cigarette pack cigarette label to be detected meets the standard or not only by acquiring the toppled image of the small cigarette pack cigarette label to be detected after toppling, and performing image preprocessing, gray processing and binarization processing on the toppled image.
Referring to fig. 2, a schematic flow chart of another method for detecting the looseness of a small cigarette pack label according to an embodiment of the present invention includes:
s210, pouring the small cigarette pack to be detected to a fixed angle.
In this embodiment, in order to guarantee the accuracy of looseness testing result, can use devices such as motor drive rotary cylinder to make the small box cigarette pack all empty to fixed angle each time. Wherein, the fixed angle is preset and can be determined by a plurality of tests.
S220, irradiating the small box cigarette pack to be detected after pouring by a light source.
In this embodiment, in order to obtain a clear image, after the to-be-detected small cigarette pack is tilted to a fixed angle, the to-be-detected small cigarette pack is tilted by using light source irradiation.
Specifically, the light source is a strip light source and is positioned on the side surface of the small cigarette pack to be detected. The strip-shaped light source is positioned on the side face of the small cigarette pack to be detected, so that the acquired side face image is clearer, and the side face state of the small cigarette pack after dumping is conveniently detected.
And S230, acquiring a pouring image of the small cigarette pack to be detected by the camera.
In this embodiment, after the light source irradiates the fallen small cigarette pack to be detected, the camera is used to acquire the falling image of the small cigarette pack to be detected.
Specifically, the camera is positioned right above the small cigarette pack to be detected. The camera located right above the small cigarette pack to be detected can ensure that the pouring image is collected and is a complete pouring image of the small cigarette pack, and the distance between the small cigarette packs is convenient to identify.
And S240, carrying out image preprocessing on the toppling image to obtain a characteristic image corresponding to the toppling image.
And S250, carrying out gray level processing on the characteristic image to obtain a gray level image corresponding to the characteristic image.
S260, carrying out binarization processing on the gray level image to obtain a binarization image corresponding to the gray level image
And S270, obtaining a detection result whether the looseness of the small cigarette pack to be detected meets the standard or not according to the binary image.
Specifically, on the basis of the above embodiment, in an embodiment of the present invention, the image preprocessing is performed on the pouring image to obtain a feature image corresponding to the pouring image, and the method specifically includes:
and performing one or more of image abnormity discrimination, image filtering, brightness correction, geometric correction and region-of-interest detection on the toppled image to obtain a characteristic image corresponding to the toppled image.
In this embodiment, frequency domain filtering may be used to perform image preprocessing on the toppled image, such as image anomaly determination, image filtering, brightness correction, geometric correction, region-of-interest detection, and the like, so as to perform general denoising while reducing the signal intensity of moire fringes.
Further, on the basis of the foregoing embodiment, in an embodiment of the present invention, performing gray-scale processing on the feature image to obtain a gray-scale image corresponding to the feature image specifically includes:
and replacing RGB (R, G and B) in the characteristic image by RGB (Gray, Gray and Gray) through a formula Gray ═ R + G + B)/3 to obtain a Gray level image corresponding to the characteristic image.
In this embodiment, in order to balance that the components of three RGB channels have the same weight, a formula of Gray ═ R + G + B)/3 is adopted, and RGB (R, G, B) in the feature image is replaced with RGB (Gray ), so as to obtain a grayscale image corresponding to the feature image. Wherein Gray represents the Gray value of the Gray image, R represents the red pixel value in each pixel point in the surface image, G represents the green pixel value in each pixel point in the surface image, and B represents the blue pixel value in each pixel point in the surface image.
Further, on the basis of the foregoing embodiment, in an embodiment of the present invention, performing binarization processing on a grayscale image to obtain a binarized image corresponding to the grayscale image includes:
and (3) carrying out binarization processing on the gray level image, setting the gray level value of all pixel points, which is less than or equal to a set binarization threshold value, to be 0, and setting the gray level value of the pixel points, which is greater than the set binarization threshold value, to be 1, so as to obtain the binarization image corresponding to the gray level image.
In this embodiment, Otsu binarization may be used to perform binarization on the grayscale image, and set the grayscale values of all the pixel points that are less than or equal to the set binarization threshold to 0, and the grayscale values of the pixel points that are greater than the set binarization threshold to 1, so as to obtain a binarized image corresponding to the grayscale image. The binarization threshold value is preset and can be adjusted according to a plurality of test results.
Further, on the basis of the above embodiment, in an embodiment of the present invention, obtaining a detection result of whether the looseness of the small cigarette pack label to be detected meets the standard according to the binary image includes:
traversing each pixel point according to the binary image, and counting the number of continuous pixel points with the gray value of 1;
if the number of the continuous pixel points is larger than the set number threshold value, the looseness of the small cigarette pack to be detected is judged to be not in accordance with the standard;
and if the condition that the number of the continuous pixel points is larger than the set number threshold value does not exist, judging that the looseness of the small cigarette pack to be detected meets the standard.
In this embodiment, since the side profile of the small cigarette pack label has a darker color in the acquired dumping image, the gray value of the pixel point in the area where the small cigarette pack label is located is set to 1 in the acquired binary image. By traversing each pixel point, the number of continuous row pixel points or continuous column pixel points with the gray value of 1 is counted, and the condition that the looseness is not good due to adhesion of small cigarette packs can be identified. Specifically, if the number of the continuous row pixel points or the continuous column pixel points is larger than a set number threshold, determining that the looseness of the small box cigarette pack to be detected does not meet the standard; and if the condition that the number of the continuous pixel points is larger than the set number threshold value does not exist, judging that the looseness of the small cigarette pack to be detected meets the standard.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. A method for detecting the looseness of small cigarette pack labels is characterized by comprising the following steps:
acquiring a dumping image of the small cigarette pack to be detected;
performing image preprocessing on the toppling image to obtain a characteristic image corresponding to the toppling image;
carrying out gray level processing on the characteristic image to obtain a gray level image corresponding to the characteristic image;
carrying out binarization processing on the gray level image to obtain a binarization image corresponding to the gray level image;
and obtaining a detection result whether the looseness of the small cigarette pack to be detected meets the standard or not according to the binary image.
2. The method of claim 1, wherein said obtaining a pour image of a small cigarette pack label to be tested comprises:
dumping the small cigarette pack to be detected to a fixed angle;
irradiating the small box cigarette label to be detected after being poured by a light source;
and acquiring a dumping image of the small cigarette pack to be detected by a camera.
3. The method of claim 1, wherein the image preprocessing the pouring image to obtain a feature image corresponding to the pouring image comprises:
and performing one or more of image abnormity discrimination, image filtering, brightness correction, geometric correction and region-of-interest detection on the toppled image to obtain a characteristic image corresponding to the toppled image.
4. The method according to claim 3, wherein performing the grayscale processing on the feature image to obtain a grayscale image corresponding to the feature image comprises:
and replacing RGB (R, G and B) in the characteristic image with RGB (Gray, Gray and Gray) by a formula of Gray ═ R + G + B)/3 to obtain a Gray level image corresponding to the characteristic image.
5. The method according to claim 4, wherein the binarizing processing the grayscale image to obtain a binarized image corresponding to the grayscale image comprises:
and carrying out binarization processing on the gray level image, setting the gray level value of all pixel points, which is less than or equal to a set binarization threshold value, to be 0, and setting the gray level value of the pixel points, which is greater than the set binarization threshold value, to be 1, so as to obtain the binarization image corresponding to the gray level image.
6. The method according to claim 5, wherein the obtaining of the detection result whether the looseness of the small cigarette pack label to be detected meets the standard according to the binary image comprises:
traversing each pixel point according to the binary image, and counting the number of continuous pixel points with the gray value of 1;
if the number of the continuous pixel points is larger than a set number threshold value, determining that the looseness of the small box cigarette label to be detected does not meet the standard;
and if the condition that the number of the continuous pixel points is larger than the set number threshold value does not exist, judging that the looseness of the small box cigarette pack to be detected meets the standard.
7. The method according to claim 2, characterized in that the light source is a strip light source and the strip light source is located on the side of the small box cigarette pack to be detected.
8. The method according to claim 7, characterized in that said camera is positioned directly above said small box label to be detected.
CN201911194928.7A 2019-11-28 2019-11-28 Method for detecting loose degree of small box cigarette labels Active CN110889842B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111754490A (en) * 2020-06-28 2020-10-09 湖南红太阳光电科技有限公司 Graphite boat sheet-reversing detection method, device and system based on vision

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6369912B1 (en) * 1998-01-23 2002-04-09 Minolta Co., Ltd. Image processing apparatus capable of applying line component to image
US20030047864A1 (en) * 2001-09-12 2003-03-13 Nobuyuki Nakamura Paper feed cassette provided with a size detection function
CN101109712A (en) * 2007-07-13 2008-01-23 广西中烟工业公司 Detecting device for defect of cigarette packer small box aluminum foil paper
CN109215048A (en) * 2018-09-21 2019-01-15 云南中烟工业有限责任公司 Pipe tobacco length determining method and system based on machine vision
CN109522767A (en) * 2017-09-18 2019-03-26 北京星河泰视特科技有限公司 One-dimension code short in size visual detection algorithm

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6369912B1 (en) * 1998-01-23 2002-04-09 Minolta Co., Ltd. Image processing apparatus capable of applying line component to image
US20030047864A1 (en) * 2001-09-12 2003-03-13 Nobuyuki Nakamura Paper feed cassette provided with a size detection function
CN101109712A (en) * 2007-07-13 2008-01-23 广西中烟工业公司 Detecting device for defect of cigarette packer small box aluminum foil paper
CN109522767A (en) * 2017-09-18 2019-03-26 北京星河泰视特科技有限公司 One-dimension code short in size visual detection algorithm
CN109215048A (en) * 2018-09-21 2019-01-15 云南中烟工业有限责任公司 Pipe tobacco length determining method and system based on machine vision

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
林明星 等: "跳汰机床层松散度的计算机检测系统" *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111754490A (en) * 2020-06-28 2020-10-09 湖南红太阳光电科技有限公司 Graphite boat sheet-reversing detection method, device and system based on vision
CN111754490B (en) * 2020-06-28 2023-08-08 湖南红太阳光电科技有限公司 Graphite boat film rewinding detection method, device and system based on vision

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