Image detection system for cigarette carton glue points

By designing the image detection system for the cigarette bar glue dots, and using the visual acquisition device and industrial control machine to recognize and detect the glue dot image, the problems of low efficiency and inaccurate detection of glue dot defects in the existing technology are solved, and more efficient and accurate glue dot detection is achieved, avoiding packaging quality problems and losses due to improper quality control.

CN120028333APending Publication Date: 2025-05-23CHINA TOBACCO HENAN IND CO LTD
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Patent Information

Application Number
CN202510257524.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-05
Publication Date
2025-05-23

AI Technical Summary

Technical Problem

The existing cigarette bar tape glue point defect detection requires a lot of manpower, resulting in low efficiency and inaccuracy, and it is impossible to effectively avoid packaging quality problems and losses caused by improper quality control.

Method used

An image detection system for cigarette bar tape glue dots is designed, including an industrial control machine, a visual acquisition device and a PLC controller. Through the visual acquisition device, the adhesive dots on both sides of the bar tape are collected. The industrial control machine recognizes and determines whether the spraying glue is qualified based on the glue dot image, and sends an unqualified signal to the PLC controller, and then sends a box removal signal to the original system of the packaging machine.

Benefits of technology

It improves the convenience and accuracy of cigarette barrel glue spot inspection, avoids packaging quality problems, and reduces losses caused by improper quality control.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention particularly discloses an image detection system for glue points of a cigarette carton. The image detection system comprises an industrial personal computer, a visual acquisition device and a PLC (Programmable Logic Controller), the visual acquisition device is used for carrying out image acquisition on the carton glue points on the two side surfaces of the carton; the industrial personal computer is in signal connection with the visual acquisition device and the PLC, and the PLC is in signal connection with the visual acquisition device so as to control photographing trigger pulses of the visual acquisition device; and the industrial personal computer is provided with an image detection algorithm so as to perform image recognition according to the glue point image acquired by the visual acquisition device and judge whether the sprayed glue is qualified or not, and if the sprayed glue is not qualified, an unqualified signal is sent to the PLC, so that the PLC sends a carton rejecting signal to an original machine system of the packaging machine. According to the invention, the convenience and accuracy of glue point detection of the cigarette carton can be improved, the packaging quality problem is avoided, and the loss caused by improper quality control is reduced.
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Description

Technical Field

[0001] The invention relates to the technical field of cigarette glue spot detection, and more specifically, to an image detection system for cigarette box glue spots. Background Art

[0002] When the paper strips pass through the glue spray nozzle of the YB618 high-speed packaging machine, the glue is evenly sprayed onto the sides of the paper strips through the nozzles. Under normal circumstances, the glue spray points formed on the paper strips are in the shape of continuous dots. However, due to the influence of various factors, five defects often occur during the glue spraying process: missing glue, insufficient glue spraying, excessive glue spraying, deviation in the glue spraying position, and irregular glue spraying shapes. These defects may cause the paper strips to be loosely bonded, and the bonding part of the paper strips may burst when the transparent paper outside the paper strips is opened; at the same time, glue overflow may also contaminate the paper strips. In addition, the irregularity of the glue spraying shape will cause uneven force on the bonding point, resulting in the defect of the paper strips opening without breaking at the sealing part of the paper strips. Therefore, it is of great significance to detect the glue points of cigarette paper strips conveniently and accurately. Summary of the invention

[0003] The present invention provides an image detection system for glue spots on cigarette cartons, which solves the problem that existing detection of glue spots on cigarette cartons requires a lot of manpower, resulting in low efficiency and inaccuracy. The system can improve the convenience and accuracy of glue spot detection on cigarette cartons, avoid packaging quality problems and reduce losses caused by improper quality control.

[0004] To achieve the above objectives, the present invention provides the following technical solutions:

[0005] An image detection system for glue spots on cigarette cartons, comprising: an industrial computer, a visual acquisition device and a PLC controller;

[0006] The visual acquisition device is used to acquire images of the strip box glue points on both sides of the strip box;

[0007] The industrial computer is respectively connected to the visual acquisition device and the PLC controller by signal, and the PLC controller is connected to the visual acquisition device by signal to control the photo-taking trigger pulse of the visual acquisition device;

[0008] The industrial computer is provided with an image detection algorithm to perform image recognition based on the glue dot images collected by the visual acquisition device and determine whether the glue spraying is qualified. If the glue spraying is unqualified, an unqualified signal is sent to the PLC controller, so that the PLC controller sends a strip box rejection signal to the original system of the packaging machine.

[0009] Preferably, it also includes: a photoelectric coupler;

[0010] The PLC controller is connected to the photoelectric coupler signal, and the photoelectric coupler is connected to the original system signal of the packaging machine;

[0011] When the glue spraying is unqualified, the PLC controller controls the photoelectric coupler to send a strip rejection signal to the packaging machine original system, so that the packaging machine original system controls the rejection mechanism to reject the defective strip box.

[0012] Preferably, it also includes: a display screen;

[0013] The display screen is connected to the industrial computer by signal, and the display screen is provided with a human-computer interaction interface, and displays the glue point images and detection results collected by the visual collection device in real time.

[0014] Preferably, the visual acquisition device comprises: an industrial camera, an image acquisition card and a light source;

[0015] The industrial camera is respectively connected to the image acquisition card and the light source by signal, the image acquisition card is connected to the industrial computer by signal, and the light source is connected to the PLC controller by signal;

[0016] The image acquisition card is used to convert the image taken by the industrial camera into a digital image.

[0017] Preferably, two groups of industrial cameras are arranged at the left and right ends of the strip box to respectively take real-time photos of the three glue points at each end of the strip box.

[0018] Preferably, the light source is provided with a light source controller, which is signal-connected to the PLC controller. The light source controller adjusts the brightness of the light source and controls the lighting of the light source according to a photo trigger pulse sent by the PLC controller.

[0019] Preferably, it also includes: an alarm device;

[0020] The industrial computer is connected to the alarm device by signal, and the industrial computer controls the alarm device to sound an alarm when the glue spraying is unqualified.

[0021] Preferably, the alarm device includes at least any one of the following: an indicator light, a buzzer and an audible and visual alarm.

[0022] Preferably, the industrial computer performs image recognition on the glue dot image through an image detection algorithm and determines whether it is qualified, including:

[0023] Performing color space conversion on the glue spot image to separate the glue spot from the background;

[0024] Binarizing the glue spot image and performing an open operation on the image to remove burr points;

[0025] Extract the glue dot contour and determine whether the glue dot contour exists. If not, the glue dot is missing and the glue spraying is unqualified. If yes, calculate the ratio of the glue dot contour area to the standard value.

[0026] Determine whether the area ratio exceeds the set range. If not, it is determined that the glue spraying amount is too large or too small and the glue spraying is unqualified. If yes, it is determined that the glue spraying is qualified.

[0027] Preferably, the calculation of the area ratio of the glue point contour area to the standard value includes:

[0028] The area ratio of the connected domain within the contour and the circumscribed circle area of ​​the standard glue point is calculated.

[0029] The present invention provides an image detection system for glue spots on cigarette cartons. The image of the glue spots on both sides of the cartons is collected by a visual acquisition device. The industrial computer performs image recognition and determines whether the glue spraying is qualified according to the glue spot image. If not, an unqualified signal is sent to the PLC controller, and then a carton rejection signal is sent to the original system of the packaging machine. The existing problem of glue spot defect detection of cigarette cartons, which requires a lot of manpower, causes low efficiency and inaccuracy, can be solved, and the convenience and accuracy of glue spot detection of cigarette cartons can be improved, thereby avoiding packaging quality problems and reducing losses caused by improper quality control. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the specific embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below.

[0031] Figure 1 The present invention is a schematic diagram of an image detection system for glue spots on a cigarette carton.

[0032] Figure 2 The present invention provides a flowchart of image detection of glue spots on a cigarette box. DETAILED DESCRIPTION

[0033] In order to enable persons skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and implementation modes.

[0034] In view of the problem that the current detection of glue spots on cigarette cartons requires a lot of manpower, resulting in low efficiency and inaccuracy, the present invention provides an image detection system for glue spots on cigarette cartons, which solves the problem that the existing detection of glue spots on cigarette cartons requires a lot of manpower, resulting in low efficiency and inaccuracy. The system can improve the convenience and accuracy of glue spot detection on cigarette cartons, avoid packaging quality problems and reduce losses caused by improper quality control.

[0035] like Figure 1As shown, a system for detecting glue spots on cigarette cartons includes: an industrial computer, a visual acquisition device, and a PLC controller. The visual acquisition device is used to acquire images of the glue spots on both sides of the cartons. The industrial computer is signal-connected to the visual acquisition device and the PLC controller, respectively, and the PLC controller is signal-connected to the visual acquisition device to control the photo trigger pulse of the visual acquisition device. The industrial computer is provided with an image detection algorithm to perform image recognition based on the glue spot images acquired by the visual acquisition device and determine whether the glue spraying is qualified. If the glue spraying is unqualified, an unqualified signal is sent to the PLC controller, so that the PLC controller sends a carton rejection signal to the original system of the packaging machine.

[0036] Specifically, the glue spot images of the glue sprayed on the strip boxes collected by the visual acquisition device are transmitted to the industrial computer for image detection algorithm to determine whether the glue spot images meet the production requirements. If they meet the production requirements, the system will send a qualified signal to the original machine system, and the unit will operate normally; otherwise, the system will mark the non-compliant product image and send a strip box rejection signal to the original machine system, and the original machine system will execute the rejection instruction. The system uses visual inspection technology to accurately detect whether the glue spots on the strip boxes are missing, offset, etc., and reject defective strip boxes without interrupting the production process, thereby realizing the detection and rejection of defective products. It can improve the convenience and accuracy of glue spot detection on cigarette strip boxes, avoid packaging quality problems and reduce losses caused by improper quality control.

[0037] The system also includes: a photoelectric coupler; the PLC controller is connected to the photoelectric coupler signal, and the photoelectric coupler is connected to the packaging machine original system signal; when the glue spraying is unqualified, the PLC controller controls the photoelectric coupler to send a strip rejection signal to the packaging machine original system, so that the packaging machine original system controls the rejection mechanism to reject the defective strip box.

[0038] In actual applications, the photoelectric coupler model is TRS24VDC 1C0, which is installed between the PLC controller and the original machine system to perform photoelectric isolation on the original machine control system, and does not affect or interfere with the original machine system during data collection.

[0039] The system also includes: a display screen; the display screen is connected to the industrial computer signal, the display screen is provided with a human-computer interaction interface, and displays the glue point image and detection result collected by the visual collection device in real time.

[0040] In practical applications, the industrial computer can use the TPC-315-R5UE-TD model to store, process, analyze and transmit the image data taken by the camera. At the same time, if continuous rejection occurs, the abnormal signal will be sent to the system to realize the glue spraying adjustment, alarm and shutdown functions. It is equipped with a high-definition display screen to display the human-computer interaction interface. Users can optimize the detection and control accuracy parameters of the acquisition system in real time through the display screen. Through monitoring and feedback of the glue spraying operation status, users can analyze and process the equipment causes of the defective products through defective product pictures. When continuous rejection occurs, the system sends the rejection reason signal directly to the original machine system by the industrial computer, and the original machine system controls the glue spraying system to adjust and return the result to the industrial computer. If the defect still exists, the industrial computer sends an alarm and shutdown signal to the original machine system.

[0041] Furthermore, the visual acquisition device includes: an industrial camera, an image acquisition card and a light source; the industrial camera is respectively connected to the image acquisition card and the light source signal, the image acquisition card is connected to the industrial computer signal, and the light source is connected to the PLC controller signal; the image acquisition card is used to convert the image taken by the industrial camera into a digital image.

[0042] In practical applications, industrial cameras can use Hikvision MV-CH050-10UC series 5-megapixel USB3.0 area array cameras.

[0043] Furthermore, two groups of industrial cameras are arranged at the left and right ends of the strip box to respectively take real-time photos of the three glue points at each end of the strip box.

[0044] Furthermore, the light source is provided with a light source controller, which is signal-connected to the PLC controller. The light source controller adjusts the brightness of the light source and controls the lighting of the light source according to a photo trigger pulse sent by the PLC controller.

[0045] In practical applications, the PLC controller may be a SIEMENS S7-200 model, which is used to trigger the industrial camera and light source to capture images of the glue dots on the strip box.

[0046] The system also includes: an alarm device; the industrial computer is connected to the alarm device by signal, and the industrial computer controls the alarm device to alarm when the glue spraying is unqualified.

[0047] Furthermore, the alarm device includes at least any one of the following: an indicator light, a buzzer, and an audible and visual alarm.

[0048] Furthermore, the industrial computer performs image recognition on the glue dot image through an image detection algorithm and determines whether it is qualified, including:

[0049] Performing color space conversion on the glue spot image to separate the glue spot from the background;

[0050] Binarizing the glue spot image and performing an open operation on the image to remove burr points;

[0051] Extract the glue dot contour and determine whether the glue dot contour exists. If not, the glue dot is missing and the glue spraying is unqualified. If yes, calculate the ratio of the glue dot contour area to the standard value.

[0052] Determine whether the area ratio exceeds the set range. If not, it is determined that the glue spraying amount is too large or too small and the glue spraying is unqualified. If yes, it is determined that the glue spraying is qualified.

[0053] Furthermore, the calculation of the area ratio of the glue point contour area to the standard value includes: calculating the area ratio of the area of ​​the connected domain within the contour and the area of ​​the circumscribed circle of the standard glue point.

[0054] In one embodiment, after obtaining the glue dot image, the glue dot is detected to determine whether it meets the production requirements. The specific detection process is as follows: Figure 2 As shown. In the above detection process, the color space is converted to better separate the glue point from the background, and the OTUS binarization reduces the dimension of the image data, which is easy for the subsequent software analysis and calculation. The image opening operation is mainly used to remove some burrs in the image to obtain a higher quality image. The points where glue is sprayed on the packaging paper of the shot box through the glue nozzle are generally circular. It is only necessary to generate the minimum circumscribed circle of the outline of the glue spray point and calculate the area ratio of the circumscribed circle to the connected domain within the outline to know whether the glue spray point is close to a circle. If the ratio is too large, it means that the shape is irregular.

[0055] It can be seen that the present invention provides an image detection system for glue spots on cigarette cartons. The image of the glue spots on both sides of the cartons is collected by a visual acquisition device. The industrial computer performs image recognition based on the glue spot image and determines whether the glue spraying is qualified. If not, an unqualified signal is sent to the PLC controller, and then a carton rejection signal is sent to the original system of the packaging machine. The existing problem of glue spot defect detection of cigarette cartons, which requires a lot of manpower, causes low efficiency and inaccuracy, can be solved, and the convenience and accuracy of glue spot detection of cigarette cartons can be improved, thereby avoiding packaging quality problems and reducing losses caused by improper quality control.

[0056] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. An image detection system for glue spots on cigarette cartons, characterized in that: include: Industrial computers, visual acquisition devices and PLC controllers; The visual acquisition device is used to acquire images of the strip box glue points on both sides of the strip box; The industrial computer is respectively connected to the visual acquisition device and the PLC controller by signal, and the PLC controller is connected to the visual acquisition device by signal to control the photo-taking trigger pulse of the visual acquisition device; The industrial computer is provided with an image detection algorithm to perform image recognition based on the glue dot images collected by the visual acquisition device and determine whether the glue spraying is qualified. If the glue spraying is unqualified, an unqualified signal is sent to the PLC controller, so that the PLC controller sends a strip box rejection signal to the original system of the packaging machine.

2. The image detection system for glue spots on cigarette cartons according to claim 1, characterized in that: Also includes: Optocoupler; The PLC controller is connected to the photoelectric coupler signal, and the photoelectric coupler is connected to the original system signal of the packaging machine; When the glue spraying is unqualified, the PLC controller controls the photoelectric coupler to send a strip rejection signal to the packaging machine original system, so that the packaging machine original system controls the rejection mechanism to reject the defective strip box.

3. The image detection system for glue spots on cigarette cartons according to claim 2, characterized in that: Also includes: Display screen; The display screen is connected to the industrial computer by signal, and the display screen is provided with a human-computer interaction interface, and displays the glue point images and detection results collected by the visual collection device in real time.

4. The image detection system for glue spots on cigarette cartons according to claim 3, characterized in that: The visual acquisition device includes: an industrial camera, an image acquisition card and a light source; The industrial camera is respectively connected to the image acquisition card and the light source by signal, the image acquisition card is connected to the industrial computer by signal, and the light source is connected to the PLC controller by signal; The image acquisition card is used to convert the image taken by the industrial camera into a digital image.

5. The image detection system for glue spots on cigarette cartons according to claim 4, characterized in that: The two groups of industrial cameras are arranged at the left and right ends of the strip box to respectively take real-time photos of the three glue points at each end of the strip box.

6. The image detection system for glue spots on cigarette cartons according to claim 5, characterized in that: The light source is provided with a light source controller, which is connected to the PLC controller by signal. The light source controller adjusts the brightness of the light source and controls the lighting of the light source according to the photo trigger pulse sent by the PLC controller.

7. The cigarette box glue spot image detection system according to claim 6, characterized in that: Also includes: Alarm device; The industrial computer is connected to the alarm device by signal, and the industrial computer controls the alarm device to sound an alarm when the glue spraying is unqualified.

8. The image detection system for glue spots on cigarette cartons according to claim 7, characterized in that: The alarm device includes at least any one of the following: an indicator light, a buzzer and an audible and visual alarm.

9. The image detection system for glue spots on cigarette cartons according to claim 8, characterized in that: The industrial computer performs image recognition on the glue dot image through an image detection algorithm and determines whether it is qualified, including: Performing color space conversion on the glue spot image to separate the glue spot from the background; Binarizing the glue spot image and performing an open operation on the image to remove burr points; Extract the glue dot contour and determine whether the glue dot contour exists. If not, the glue dot is missing and the glue spraying is unqualified. If yes, calculate the ratio of the glue dot contour area to the standard value. Determine whether the area ratio exceeds the set range. If not, it is determined that the glue spraying amount is too large or too small and the glue spraying is unqualified. If yes, it is determined that the glue spraying is qualified.

10. The cigarette box glue spot image detection system according to claim 9, characterized in that: The calculation of the ratio of the glue point contour area to the standard value includes: The area ratio of the connected domain within the contour and the circumscribed circle area of ​​the standard glue point is calculated.

Citation Information

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