CN117630009A - Inner frame paper defect detection method and device - Google Patents

Inner frame paper defect detection method and device Download PDF

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Publication number
CN117630009A
CN117630009A CN202311571277.5A CN202311571277A CN117630009A CN 117630009 A CN117630009 A CN 117630009A CN 202311571277 A CN202311571277 A CN 202311571277A CN 117630009 A CN117630009 A CN 117630009A
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CN
China
Prior art keywords
inner frame
frame paper
image
detection
defect
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CN202311571277.5A
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Chinese (zh)
Inventor
胡涛
徐国现
李乾
杨荣
冯琰
李云
李春华
阳绍龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hongyun Honghe Tobacco Group Co Ltd
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Hongyun Honghe Tobacco Group Co Ltd
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Application filed by Hongyun Honghe Tobacco Group Co Ltd filed Critical Hongyun Honghe Tobacco Group Co Ltd
Priority to CN202311571277.5A priority Critical patent/CN117630009A/en
Publication of CN117630009A publication Critical patent/CN117630009A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36—Sorting apparatus characterised by the means used for distribution
    • B07C5/361—Processing or control devices therefor, e.g. escort memory
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan 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
    • G01N2021/8887—Scan 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
    • 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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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The application discloses a method and a device for detecting defects of inner frame paper, wherein the method comprises the following steps: receiving images of the tobacco bale acquired on a tobacco bale track outside an outlet of the folding turret; determining an actual detection window in the image of the tobacco bale; extracting texture features in an actual detection window, and judging whether the tobacco packet has an inner frame paper defect or not based on the texture features; if the inner frame paper defects exist, the original machine removing mechanism is controlled to remove the tobacco packages with the inner frame paper defects. According to the method, the detection system is arranged on the tobacco bale track at the outer side of the outlet of the folding turret, so that the tail end detection is realized, the accuracy of the inner frame paper defect detection is improved, and the defect rate of products is reduced.

Description

Inner frame paper defect detection method and device
Technical Field
The application relates to the technical field of cigarette detection, in particular to a method and a device for detecting defects of inner frame paper.
Background
According to the technological process, the FOCKE350 type hard box packaging machine mainly comprises a cigarette feeding processing system, an inner lining paper feeding system, an inner frame paper feeding system, a label paper feeding system, a cigarette wrapping and packaging forming system and the like, wherein the inner frame paper relates to the processes of cutting separation, wrapping movement, folding movement, transferring movement and the like. Under the action of centrifugal force and friction force, the inner frame paper is possibly missing, moves downwards, is damaged, is askew and the like, and even the defective cigarette packet such as cutting edge burrs and the like of the inner frame paper appears. The inner frame paper is mainly used for positioning the box cover after the cover is turned over to form the hard box, is an appearance which can be perceived by consumers directly, and is important for maintaining the brand image of cigarettes, so that how to prevent cigarettes with defects of the inner frame paper from flowing into a finished product warehouse is an important subject of equipment, process and quality work.
In the prior art, due to the compactness of the FOCKE350 type structure and the sealing performance of the electric control system, the workload of installing and program controlling the inner frame paper monitoring device is huge, so that the position and the surface quality of the inner frame paper cannot be monitored before the cigarette packet is formed, but the inner frame paper is detected before the inner frame paper positioner on the folding turret (such as on the station 4 in fig. 1) in two ways: judging whether the inner frame paper exists or not by adopting a color code sensor and distinguishing the reflected light intensity of the inner frame paper and the inner lining paper; visual imaging is adopted to detect the shape and the position of the inner frame paper.
However, the above detection only reduces the number of defects of the inner frame paper, mainly because the inner frame paper which is detected to be qualified before the inner frame paper positioner still needs to pass through the inner frame paper positioner, the rotary folder and the second movable folding guide rail procedure on the folding turret, and the second movable folding guide rail procedure determines the final position of the inner frame paper in the tobacco bale, so the above monitoring mode belongs to middle monitoring and is not end monitoring. If the problems of inner frame paper loss, scraping and the like occur in the running process of equipment behind the inner frame paper positioner, the quality of products can be guaranteed only by means of manual self-checking in a large amount in a downstream process, and the accuracy and the efficiency are poor.
Disclosure of Invention
The application provides a method and a device for detecting defects of inner frame paper, wherein a detection system is arranged on a tobacco bale track at the outer side of an outlet of a folding turret, so that tail end detection is realized, the accuracy of inner frame paper defect detection is improved, and the defect rate of products is reduced.
The application provides a method for detecting defects of inner frame paper, which comprises the following steps:
receiving images of the tobacco bale acquired on a tobacco bale track outside an outlet of the folding turret;
determining an actual detection window in the image of the tobacco bale;
extracting texture features in an actual detection window, and judging whether the tobacco packet has an inner frame paper defect or not based on the texture features;
if the inner frame paper defects exist, the original machine removing mechanism is controlled to remove the tobacco packages with the inner frame paper defects.
Preferably, detection notches are symmetrically arranged on two sides of the cigarette packet track, a lighting device and an image acquisition device are respectively arranged outside two sides of the cigarette packet track, the image acquisition device is opposite to the detection notches, and an included angle between a connecting line of the lighting device and the detection notches and the cigarette packet track is an acute angle, so that an included angle is formed between a projection of a side edge of the detection notch, which is close to the lighting device, and the upper edge of the cigarette packet on an image of the cigarette packet;
the cut end part of the inner frame paper is positioned in the middle of the top surface of the cigarette packet and is tilted upwards to form an arc section, and the end part of the inner frame paper is positioned in the shooting range of the image acquisition equipment.
Preferably, the method for judging whether the tobacco bale has the inner frame paper defect based on the texture features specifically comprises the following steps:
if texture features are not detected in the actual detection windows of the images on the two sides, judging that the cigarette packet has the defect of no inner frame paper.
Preferably, before extracting the texture feature in the actual detection window, the method further comprises: converting the image into a gray image, and adopting guide filtering to carry out filtering pretreatment on the gray image.
Preferably, an image of the tobacco bale confirmed to be normal is used as the image template.
The application also provides an inner frame paper defect detection device, which comprises an image receiving module, a window determining module, a defect detection module and a control module;
the image receiving module is used for receiving the image of the tobacco bale acquired on the tobacco bale track between the folding turret and the gluing device;
the window determining module is used for determining an actual detection window in the image of the cigarette packet;
the defect detection module is used for extracting texture features in the actual detection window and judging whether the tobacco packet has an inner frame paper defect or not based on the texture features;
the control module is used for controlling the original machine removing mechanism to remove the tobacco packages with the inner frame paper defects when the inner frame paper defects exist.
Preferably, detection gaps are symmetrically arranged on two sides of the cigarette packet track, the image acquisition equipment of the lighting device is respectively arranged outside two sides of the cigarette packet track, the image acquisition equipment is opposite to the detection gaps, and an included angle between a connecting line of the lighting device and the detection gaps and the cigarette packet track is an acute angle, so that an included angle is formed between a projection of a side edge of the detection gap, which is close to the lighting device, and the upper edge of the cigarette packet on an image of the cigarette packet;
the cut end part of the inner frame paper is positioned in the middle of the top surface of the cigarette packet and is tilted upwards to form an arc section, and the end part of the inner frame paper is positioned in the shooting range of the image acquisition equipment.
Preferably, the defect detection module is used for judging that the cigarette packet has the defect of no inner frame paper when texture features are not detected in the actual detection windows of the images on two sides.
Preferably, the inner frame paper defect detection device further comprises an image preprocessing module, wherein the image preprocessing module is used for converting an image into a gray image and adopting guide filtering to perform filtering preprocessing on the gray image.
Preferably, the in-frame paper defect detection device further comprises a template determination module for taking an image of the tobacco bale confirmed to be normal as an image template.
Other features of the present application and its advantages will become apparent from the following detailed description of exemplary embodiments of the present application, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic view of a folding turret;
FIG. 2 is a schematic diagram of a system for detecting defects of inner frame paper according to the present disclosure;
fig. 3 is a schematic diagram of a detection notch of a tobacco bale track provided in the present application;
FIG. 4 is a flowchart of a method for detecting defects of inner frame paper provided by the present application;
FIG. 5 is a schematic view of an image obtained based on the in-frame paper defect detection system shown in FIG. 3;
FIGS. 6A-6D show examples of image templates and images with different in-frame paper defects;
fig. 7 is a block diagram of the inner frame paper defect detecting device provided by the application.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and apparatus should be considered part of the specification.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
The application provides a method and a device for detecting defects of inner frame paper, wherein a detection system is arranged on a tobacco bale track at the outer side of an outlet of a folding turret, so that tail end detection is realized, the accuracy of inner frame paper defect detection is improved, and the defect rate of products is reduced. In addition, in the application, the industrial personal computer automatically generates defect types and automatically counts the number of the same defect types and outputs the defect types, so that equipment management staff and repair staff can know the equipment.
As shown in fig. 2 and 3, the inner frame paper defect detection system of the present application is disposed on a pack rail 200 outside the exit (station 7 in fig. 1) of the folding turret 100, before the gluing device. A tobacco bale drying and conveying mechanism 300 is further arranged at the downstream of the tobacco bale track 200, and a waste bin 400 is arranged at the tobacco bale drying and conveying mechanism 300. Each pack 500 is positioned on the pack rail 200 by the push target 210. The two sides of the cigarette packet track 200 are symmetrically provided with detection notches 220, and the detection notches 220 are provided with in-place detection switches 30.
As one example, the in-place detection switch 30 is a fiber optic sensor.
The lighting device 20 and the image acquisition device 10 are respectively arranged outside two sides of the cigarette packet track 200, and the image acquisition device 10 is opposite to the detection notch 220. When the cigarette packet moves in the track and blocks the light of the in-place detection switch 30, the industrial personal computer controls the lighting device 20 and the image acquisition equipment 10 to perform image acquisition in a matched mode, and the image is transmitted to the image processing unit of the industrial personal computer through the USB port. The line connecting the illumination device 20 and the detection notch 220 forms an acute angle with the packet track 200, so that a projection 610 of the side (right side in fig. 3) of the detection notch 220 near the illumination device 20 on the image of the packet 500 forms an angle with the upper edge of the packet 600, as shown in fig. 5. In this way, in the image, the top surface of the tobacco bale forms a straight line AB, one projected edge line forms a straight line CD, and the intersection point of the two forms a J. In fig. 5, the right side of the pack is a corner portion (i.e., opening portion) 620 and the left side is the bottom of the pack.
When the cigarette packet 500 is located on the cigarette packet track 200, the cut end part of the inner frame paper is located on the middle of the top surface of the cigarette packet 500 and is tilted upwards to form an arc section, and the end part of the inner frame paper is located in the shooting range of the image acquisition equipment. Thus, as shown in fig. 5, in the image, the middle of the top surface of the pack 600 has an arc-shaped section, and the highest point of the arc-shaped section is Q.
Based on the above, as shown in fig. 4, the method for detecting the defect of the inner frame paper provided by the present application includes:
s410: images of the packets acquired on the packet track outside the exit of the folding turret are received.
S420: an actual detection window in the image of the tobacco bale is determined.
As an embodiment, based on the above inner frame paper defect detection system, determining an actual detection window in an image of a tobacco packet specifically includes:
s4201: identifying a first straight line corresponding to the edge of the top surface of the tobacco bale in the actually measured image and a second straight line corresponding to projection, and taking an intersection point of the first straight line and the second straight line as a first intersection point J1 (x 1, y 1); and identifying a third straight line corresponding to the edge of the top surface of the tobacco bale in the image template and a fourth straight line corresponding to the projection, and taking an intersection point of the third straight line and the fourth straight line as a second intersection point J0 (x 0, y 0).
As one example, an image of a tobacco packet confirmed to be normal is used as an image template, as shown in fig. 6A.
If the images on two sides of the cigarette packet do not detect the first intersection point, the fact that the cigarette packet has no inner frame paper defect is judged, and possible reasons are that the original machine equipment receives the cigarette packet without inner frame paper and label paper when signals such as empty heads, replacement of an aluminum foil paper disc, replacement of the inner frame paper disc and the like.
S4202: a floating vector v=j1-j0= (x 1-x0, y1-y 0) is determined based on the coordinates of the first intersection point J1 and the coordinates of the second intersection point J0.
S4203: and moving a standard detection window (the coordinates of which are the coordinates of the detection window in the image template) according to the floating vector V, and obtaining the coordinates of an actual detection window corresponding to the actually measured image so as to eliminate the influence of the position change caused by the jitter of the cigarette packet on the image.
S430: and extracting texture features in the actual detection window, and judging whether the cigarette packet has an inner frame paper defect or not based on the texture features.
As one embodiment, texture features within the actual detection window are extracted based on the law texture extraction algorithm.
Preferably, before extracting the texture feature in the actual detection window, the method further comprises: converting the image into a gray image, and adopting guide filtering to carry out filtering pretreatment on the gray image.
As one embodiment, determining whether a tobacco packet has an inner frame paper defect based on texture features includes:
q1: and judging whether texture defects exist in the actual detection window or not based on a support vector machine (Support Vector Machines, SVM) classification algorithm.
Q2: if the area of the texture defect identified on one side or both sides of the tobacco bale exceeds a first threshold value, judging that the inner frame paper of the tobacco bale is damaged or the surface of the inner frame paper is marked. If the area of the texture defect identified on one or both sides of the packet exceeds a second threshold (greater than the first threshold), then the packet is determined to be free of inner frame paper, as illustrated in fig. 6D. And if the areas of the inner frame paper texture defects on the two sides of the cigarette packet are within a first threshold value, executing Q3.
Q3: and detecting the highest point Q (x, y) of the arc-shaped section in the actual detection window based on a corner matching algorithm. If the ordinate y of the highest point is smaller than the lower ordinate value of the skew or larger than the upper ordinate value of the skew, it is determined that the inner frame paper has a skew defect, as an example shown in fig. 6C. If the ordinate y of the highest point is equal to the ordinate of the first intersection point J1, and the abscissa x of the highest point is greater than the downward-moving maximum abscissa (for example, 1 mm). If the inner frame paper moves downwards, the abscissa is shifted towards the folding angle direction, and the defect of the inner frame paper moving downwards of the cigarette packet is judged, as shown in an example given in fig. 6B. And if the ordinate y of the highest point is greater than or equal to the ordinate value of the first intersection point J1 and the abscissa of the highest point is smaller than the downward-moving maximum abscissa, executing Q4.
Q4: and identifying whether the cutting edge of the inner frame paper in the actually measured image has a protruding part, and if so, judging that the cutting edge has burrs. If the burr area of the left side or the right side of the cigarette packet exceeds the set value, judging that the cigarette packet has the defect that the burrs of the inner frame paper exceed the standard. Otherwise, the tobacco bale is a normal tobacco bale.
As one example, a Blob (Binary large object) analysis algorithm is employed to identify burs.
S440: if the inner frame paper defects exist, the original machine removing mechanism is controlled to remove the tobacco packages with the inner frame paper defects.
The inner frame paper is not damaged, or has surface indentations, and has skew, downset and burr exceeding defects.
Specifically, when the industrial personal computer judges that the cigarette packet has the inner frame paper defect, the shift register molding is called: and when the high-level signal of the optical fiber sensor is received and added to 5 from 0, the industrial personal computer outputs the high-level signal to the electromagnetic valve of the FOCKE350 discharge port, so that the original machine removing mechanism is started to act, and defective cigarette packets are removed.
Based on the above, the inner frame paper defect detection device provided by the application. As shown in fig. 7, the in-frame paper defect detection apparatus includes an image receiving module 710, a window determining module 720, a defect detecting module 730, and a control module 740.
The image receiving module 710 is used for receiving images of the tobacco bale acquired on the tobacco bale track between the folding turret and the gluing device.
The window determination module 720 is configured to determine an actual detection window in the image of the tobacco bale.
The defect detection module 730 is configured to extract texture features in the actual detection window, and determine whether the tobacco packet has an inner frame paper defect based on the texture features.
The control module 740 is used for controlling the original machine removing mechanism to remove the tobacco packages with the inner frame paper defects when the inner frame paper defects exist.
Preferably, the two sides of the cigarette packet track are symmetrically provided with detection gaps, the two sides of the cigarette packet track are respectively provided with an image acquisition device of a lighting device, the image acquisition devices are opposite to the detection gaps, and an included angle between a connecting line of the lighting device and the detection gaps and the cigarette packet track is an acute angle, so that an included angle is formed between a projection of a side edge of the detection gap, which is close to the lighting device, and the upper edge of the cigarette packet on an image of the cigarette packet.
The cut end part of the inner frame paper is positioned in the middle of the top surface of the cigarette packet and is tilted upwards to form an arc section, and the end part of the inner frame paper is positioned in the shooting range of the image acquisition equipment.
Preferably, the endo frame paper defect detection device further comprises an image preprocessing module 750, wherein the image preprocessing module 750 is used for converting an image into a gray image, and filtering preprocessing is performed on the gray image by adopting guide filtering.
Preferably, the in-frame paper defect detecting apparatus further includes a template determining module 760, and the template determining module 760 is configured to take an image of the tobacco bale confirmed to be normal as an image template.
Preferably, the defect detection module 730 includes a texture defect recognition module 7301 and a determination module 7302, wherein the texture defect recognition module 7301 is configured to determine whether a texture defect exists in an actual detection window based on an SVM classification algorithm. The judging module 7302 is used for judging whether the cigarette packet has inner frame paper and whether the inner frame paper has breakage or surface indentation according to the area of the texture defect.
Preferably, the defect detection module 730 further includes a highest point detection module 7303, where the highest point detection module 7303 is configured to detect a highest point of the arc segment in the actual detection window based on a corner matching algorithm. The judging module 7302 is configured to judge whether there is a downward movement or a skew defect of the inner frame paper of the tobacco packet according to the coordinates of the highest point.
Preferably, the defect detecting module 730 further includes a burr identifying module 7304, and the burr identifying module 7304 is used for identifying whether a protruding portion exists at a cutting edge of the inner frame paper in the actually measured image. The judging module 7302 is configured to judge whether the inner frame paper of the tobacco packet has a burr exceeding defect according to the burr area.
Although specific embodiments of the present application have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present application. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present application. The scope of the application is defined by the appended claims.

Claims (10)

1. A method for detecting defects of inner frame paper, comprising:
receiving images of the tobacco bale acquired on a tobacco bale track outside an outlet of the folding turret;
determining an actual detection window in the image of the tobacco bale;
extracting texture features in the actual detection window, and judging whether the tobacco packet has an inner frame paper defect or not based on the texture features;
if the inner frame paper defects exist, the original machine removing mechanism is controlled to remove the tobacco packages with the inner frame paper defects.
2. The method for detecting the defects of the inner frame paper according to claim 1, wherein detection gaps are symmetrically arranged on two sides of the cigarette packet track, a lighting device and image acquisition equipment are respectively arranged outside two sides of the cigarette packet track, the image acquisition equipment is opposite to the detection gaps, and an included angle between a connecting line of the lighting device and the detection gaps and the cigarette packet track is an acute angle, so that an included angle is formed between a projection of a side edge of the cigarette packet, which is close to the detection gaps of the lighting device, and the upper edge of the cigarette packet on an image of the cigarette packet;
the cut inner frame paper end is positioned in the middle of the top surface of the tobacco bale and is tilted upwards to form an arc section, and the inner frame paper end is positioned in the shooting range of the image acquisition equipment.
3. The method for detecting an in-frame paper defect according to claim 1, wherein determining whether the tobacco bale has an in-frame paper defect based on the texture features, specifically comprises:
if texture features are not detected in the actual detection windows of the images on the two sides, judging that the cigarette packet has the defect of no inner frame paper.
4. The method of claim 1, further comprising, prior to extracting texture features within the actual inspection window: converting the image into a gray image, and carrying out filtering pretreatment on the gray image by adopting guide filtering.
5. A method of inspecting a paper defect in an inner casing according to claim 3, wherein the image of the tobacco bale confirmed to be normal is used as an image template.
6. The inner frame paper defect detection device is characterized by comprising an image receiving module, a window determining module, a defect detection module and a control module;
the image receiving module is used for receiving the images of the tobacco packages collected on the tobacco package track between the folding turret and the gluing device;
the window determining module is used for determining an actual detection window in the image of the tobacco packet;
the defect detection module is used for extracting texture features in the actual detection window and judging whether the tobacco packet has an inner frame paper defect or not based on the texture features;
the control module is used for controlling the original machine removing mechanism to remove the tobacco packages with the inner frame paper defects when the inner frame paper defects exist.
7. The inner frame paper defect detection device according to claim 6, wherein detection gaps are symmetrically arranged on two sides of the cigarette packet track, image acquisition equipment of illumination devices are respectively arranged outside two sides of the cigarette packet track, the image acquisition equipment is opposite to the detection gaps, and an included angle between a connecting line of the illumination devices and the detection gaps and the cigarette packet track is an acute angle, so that an included angle is formed between a projection of a side edge of the cigarette packet, which is close to the detection gaps of the illumination devices, and the upper edge of the cigarette packet on an image of the cigarette packet;
the cut inner frame paper end is positioned in the middle of the top surface of the tobacco bale and is tilted upwards to form an arc section, and the inner frame paper end is positioned in the shooting range of the image acquisition equipment.
8. The endo frame paper defect detection apparatus according to claim 6, wherein the defect detection module is configured to determine that the cigarette packet has an endo frame paper defect when no texture feature is detected within an actual detection window of the image on both sides.
9. The endo frame paper defect detection device of claim 6, further comprising an image preprocessing module for converting the image into a gray scale image and filtering the gray scale image using guided filtering.
10. The in-line paper defect detection apparatus according to claim 8, further comprising a template determination module for taking an image of a tobacco bale confirmed to be normal as an image template.
CN202311571277.5A 2023-11-22 2023-11-22 Inner frame paper defect detection method and device Pending CN117630009A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311571277.5A CN117630009A (en) 2023-11-22 2023-11-22 Inner frame paper defect detection method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311571277.5A CN117630009A (en) 2023-11-22 2023-11-22 Inner frame paper defect detection method and device

Publications (1)

Publication Number Publication Date
CN117630009A true CN117630009A (en) 2024-03-01

Family

ID=90033136

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311571277.5A Pending CN117630009A (en) 2023-11-22 2023-11-22 Inner frame paper defect detection method and device

Country Status (1)

Country Link
CN (1) CN117630009A (en)

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