Cigarette package appearance defect identification method, device and cigarette package production system

Abstract

The present disclosure relates to a method and device for identifying appearance defects of cigarette packages, and a cigarette package production system, wherein the method for identifying appearance defects of cigarette packages includes: obtaining a cigarette package image taken by a visual inspection component; comparing the time required for multiple inspection tools to judge cigarette package defects based on the cigarette package image with the upper limit of the processing time allowed by the machine; and adjusting the usage of multiple inspection tools when the required time exceeds the upper limit of the processing time and the number of cigarette packages rejected by a specific inspection tool is less than a preset number.

Description

Technical Field

[0001] The present disclosure relates to the technical field of cigarette pack production, and in particular to a method and device for identifying appearance defects of cigarette packs, and a cigarette pack production system. Background Art

[0002] Currently in cigarette packaging workshops, various defects may occur after transparent paper packaging is completed, but there is currently no effective means to detect and identify them. In addition, the packaging speed of cigarette packs in the packaging machine is relatively fast, and the idle time between adjacent cigarette packs is very short, which also makes defect identification very difficult. This can easily lead to defective cigarette packs being mixed into the finished product, bringing quality risks. Summary of the Invention

[0003] The present disclosure provides a method and device for identifying appearance defects of cigarette packages, and a cigarette package production system, which can improve the appearance quality of finished cigarette packages.

[0004] According to a first aspect of the present disclosure, a method for identifying appearance defects of cigarette packages is provided, comprising:

[0005] Acquire a cigarette package image captured by a visual inspection component;

[0006] Compare the time required by multiple current inspection tools to determine cigarette pack defects based on cigarette pack images with the upper limit of the processing time allowed by the corresponding machine;

[0007] When the required time exceeds the upper limit of the processing time and the number of cigarette packs rejected by a specific detection tool is less than the preset number, the usage of multiple detection tools is adjusted.

[0008] In some embodiments, the steps of multiple detection tools determining cigarette package defects based on cigarette package images include:

[0009] In the case that any inspection tool detects that there is a defect in the cigarette package image, it is determined that there is a defect in the cigarette package, and the inspection tool used to detect the defect is located.

[0010] In some embodiments, the step of determining that the number of cigarette packs rejected by a specific detection tool is less than a preset number and adjusting the use of multiple detection tools includes:

[0011] Obtaining the detection tool corresponding to each rejected cigarette pack within the most recent first preset time period;

[0012] From all the detection tools, the detection tools that have not detected cigarette package defects within the first preset time period are screened out, that is, the detection tools with cigarette package quantities less than the preset number are eliminated, and a message suggesting the deletion of the detection tool is issued.

[0013] In some embodiments, the step of determining that the number of cigarette packs rejected by a specific detection tool is less than a preset number and adjusting the use of multiple detection tools includes:

[0014] During the preset second time period, if the number of cigarette packs detected by a certain detection tool is less than the preset number, an alarm will be issued and a query will be made in the historical defect image library to judge the appearance of the rejected cigarette packs. If the cigarette pack defects are caused by false detection, the detection tool can be deleted; if the rejected cigarette packs do have appearance defects, the system's judgment on the necessity of the detection tool will be blocked, and the detection tool will be retained to perform the detection.

[0015] In some embodiments, cigarette package images with different types of defects are classified and stored in different folders through judgment by a neural network.

[0016] In some embodiments, different defect types of cigarette packets are inspected by at least some of the multiple inspection tools.

[0017] In some embodiments, the cigarette package defect type includes at least one of a printing defect, a trademark paper damage defect, a glue overflow defect, and a cigarette package wrinkle defect.

[0018] In some embodiments,

[0019] The print skew defect is detected by two detection tools, color area and width. When the color area of ​​the print area reaches the preset area and the width of the print area reaches the preset width, the print is judged to be normal; when the color area of ​​the print area reaches the preset area but the width of the print area does not reach the preset width, it is judged that there is a print skew defect; when the color area of ​​the print area does not reach the preset area and the width of the print area does not reach the preset width, it is judged that there is a print missing defect; and / or

[0020] The label paper damage defect is detected by a color recognition detection tool. If a color change occurs and it is the color of the lining paper, it is determined that the label paper damage defect exists; and / or

[0021] Glue overflow defects are detected using color recognition and edge detection tools. Glue overflow defects are identified when a strong white color appears with an edge near the underside of the seal paper; and / or

[0022] The cigarette pack wrinkle defect is detected by color recognition and edge detection tools. When white appears and multiple edges appear in the preset smooth and flat area, it is determined that the cigarette pack wrinkle defect exists.

[0023] According to a second aspect of the present disclosure, a device for identifying appearance defects of cigarette packages is provided, which is used to execute the method for identifying appearance defects of cigarette packages of the above embodiment.

[0024] According to a third aspect of the present disclosure, a cigarette pack production system is provided, comprising:

[0025] The cigarette package appearance defect recognition device of the above embodiment;

[0026] The first conveying member and the second conveying member extend along the first direction and are spaced apart along the first direction;

[0027] a forming wheel disposed between the first conveying member and the second conveying member along a first direction, the forming wheel having a plurality of stations, and performing transparent paper wrapping at an entrance station close to the first conveying member; and

[0028] A visual inspection component used to capture images of cigarette packages.

[0029] In some embodiments, the visual inspection component includes:

[0030] The first visual component is located in the upper area of ​​the forming wheel near the station of the first conveying component and is used to capture the appearance image of the cigarette pack just entering the forming wheel;

[0031] a second visual component, provided in an area above the forming wheel near the station of the second conveying component, for capturing an image of the appearance of a cigarette pack about to leave the forming wheel; and

[0032] The third visual component is arranged in the lower area of ​​the forming wheel near the workstation of the second conveying component, and is used to capture the appearance image of the cigarette pack that is about to leave the forming wheel.

[0033] The method for identifying appearance defects of cigarette packages in the disclosed embodiments can, when the time required for multiple detection tools to identify cigarette package defects exceeds the requirement, promptly determine the necessity of the existence of each detection tool, so as to adjust the configuration of the multiple detection tools, thereby shortening the time required to identify the appearance defects of a single cigarette package, so that the time point of identifying the defect is earlier than the time when the next cigarette package is delivered, thereby preventing missed judgments or misjudgments, thereby ensuring the reliability and accuracy of the removal of defective cigarette packages. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0035] Figure 1 Schematic diagram of the structure of some embodiments of the cigarette pack production system disclosed in the present invention.

[0036] Figure 2Schematic diagram of the flow of some embodiments of the method for identifying appearance defects of cigarette packages disclosed herein.

[0037] Figure 3 This is a schematic diagram of the interface when the cigarette package appearance inspection is normal (printing is normal).

[0038] Figure 4 This is a schematic diagram of the interface for detecting abnormal appearance of cigarette packages (missing prints).

[0039] Figure 5 This is a schematic diagram of the interface for detecting abnormal appearance of cigarette packages (skewed printing).

[0040] Description of Reference Numerals

[0041] 1. First conveying component; 2. Second conveying component; 3. Forming wheel; 4. Cigarette pack; 5. First visual component; 6. Second visual component; 7. Third visual component; 8. Controller. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is in no way intended to limit the present disclosure and its application or use. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without carrying out creative work are within the scope of protection of the present disclosure.

[0043] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0044] In the description of the present disclosure, it should be understood that the terms "center", "lateral", "longitudinal", "front", "back", "left", "right", "up", "down", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present disclosure and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the scope of protection of the present disclosure.

[0045] In the description of the present disclosure, it should be understood that the use of words such as "first" and "second" to limit components is only for the convenience of distinguishing the corresponding components. Unless otherwise stated, the above words have no special meaning and therefore cannot be understood as limiting the scope of protection of the present disclosure.

[0046] The present disclosure provides a method for identifying appearance defects of cigarette packages. In some embodiments, referring to Figure 1 and Figure 2 ,include:

[0047] Step 110: Acquire a cigarette package image captured by a visual inspection component;

[0048] Step 120: Compare the time required by the current plurality of inspection tools to determine cigarette package defects based on cigarette package images with the upper limit of the processing time allowed by the corresponding machine;

[0049] Step 130: When the required time exceeds the upper limit of the processing time and the number of cigarette packs rejected by the specific detection tool is less than the preset number, the usage of the multiple detection tools is adjusted.

[0050] Steps 110 to 130 are performed sequentially. After being wrapped in transparent paper, cigarette packages may exhibit various defects. This requires the use of multiple detection tools based on the package image to identify these defects. Controller 8 can incorporate various detection tools for targeted identification. These detection tools are also known as detection methods. For example, common defects found in soft-pack cigarette packages include skewed printing, damaged label paper, glue overflow, and wrinkled packages.

[0051] For example, the rated operating speed of a medium-speed packaging machine is currently 400 packs / minute, while that of a high-speed machine is 600 packs / minute. Therefore, the visual inspection component in each process takes a photo of each cigarette pack and uploads it, while the controller 8 identifies defects on the pack. The processing time for this process is closely related to the settings of the inspection tool. For example, for a medium-speed packaging machine, the upper limit of the allowed time is 150ms, while for a high-speed packaging machine, the upper limit of the allowed time is 100ms. Adding a new inspection tool increases the processing time. Furthermore, the larger the inspection range of the inspection tool, the longer the processing time. When the time required to identify visual defects on each cigarette pack exceeds the upper limit of the processing time allowed for the machine, the accuracy and reliability of defective pack rejection will be affected, and there may even be a risk that defective packs will be misplaced during rejection and enter the finished product. The upper limit of the allowed processing time can be the maximum processing time multiplied by a preset percentage. For example, the preset percentage can be 70%, 80%, 90%, etc.

[0052] When the number of cigarette packs rejected by a specific detection tool is less than a preset number, the usage of multiple detection tools is adjusted. Specifically, the detection tools that have no obvious or no detection effect during the identification process can be deleted.

[0053] This embodiment can timely judge the necessity of the existence of each detection tool when the time required for multiple detection tools to identify cigarette package defects exceeds the requirement, that is, when it is approaching the processing time limit, so as to adjust and screen the configuration of multiple detection tools. On the basis of not affecting the accuracy of identifying cigarette package appearance defects, the time required to identify the appearance defects of a single cigarette package is shortened, so that the time point of identifying the defect is earlier than the time when the next cigarette package is delivered, thereby preventing missed judgments or misjudgments, thereby ensuring the reliability and accuracy of the removal of defective cigarette packages, and further improving the appearance quality of the finished cigarette packages, providing effective full-line cigarette package appearance quality control for each machine and process in the workshop.

[0054] In some embodiments, the step of using multiple detection tools to determine cigarette package defects based on cigarette package images in step 120 includes:

[0055] In the case that any inspection tool detects that there is a defect in the cigarette package image, it is determined that there is a defect in the cigarette package, and the inspection tool used to detect the defect is located.

[0056] For each cigarette package, there may be multiple inspection tools that detect a single defect or multiple defects at the same time. However, as long as a certain inspection tool detects a defect from the cigarette package image, it is determined that the cigarette package has an appearance defect, and the inspection tool that detected the defect is located. The inspection tool that detected the defect can also be displayed.

[0057] In some embodiments, the step of determining in step 130 that the number of cigarette packs rejected by a specific detection tool is less than a preset number and adjusting the use of multiple detection tools includes:

[0058] Obtaining the detection tool corresponding to each rejected cigarette pack within the most recent first preset time period;

[0059] From all the detection tools, the detection tools that have not detected cigarette package defects within the first preset time period are screened out, that is, the detection tools with cigarette package quantities less than the preset number are eliminated, and a message suggesting the deletion of the detection tool is issued.

[0060] For example, the first preset time period can be one week. During this period, among all the rejected cigarette packs, it is determined which detection tool detected the defect of each rejected cigarette pack. If a certain detection tool is not used in these rejected cigarette packs, it is considered that the necessity of the detection tool is low, and a message is issued to recommend deleting the detection tool. Whether to delete it in the end depends on the operator.

[0061] This embodiment can promptly delete detection tools that contribute less to defect judgment, thereby shortening the time required to identify the appearance defects of a single cigarette package, so that the time point of identifying the defect is earlier than the time when the next cigarette package is delivered, preventing missed judgments or misjudgments, thereby ensuring the reliability and accuracy of defective cigarette package removal, and further improving the appearance quality of the finished cigarette package.

[0062] In some embodiments, the step of determining in step 130 that the number of cigarette packs rejected by a specific detection tool is less than a preset number and adjusting the use of multiple detection tools includes:

[0063] During the preset second time period, if the number of cigarette packs detected by a certain detection tool is less than the preset number, an alarm will be issued and a query will be made in the historical defect image library to judge the appearance of the rejected cigarette packs. If the cigarette pack defects are caused by false detection, the detection tool can be deleted; if the rejected cigarette packs do have appearance defects, the system's judgment on the necessity of the detection tool will be blocked, and the detection tool will be retained to perform the detection.

[0064] For example, the preset quantity may be 5 packs, and the process of searching the historical defect image library and confirming that the cigarette packs to be removed do have defects may be executed by the controller 8 or by an operator.

[0065] This embodiment can judge the detection tool that identifies defective cigarette packs but in small numbers within a preset second time period. If the detection tool detects accurately, it means that although the detection tool identifies a small number of defective cigarette packs, it is still necessary to retain it. The necessity of the detection tool will not be judged every time subsequently, so as to reduce the difficulty of the detection tool necessity judgment logic; if the detection tool makes a false detection, the detection tool will be deleted to shorten the time required to identify the appearance defects of a single cigarette pack.

[0066] In some embodiments, cigarette package images with different types of defects are classified and stored in different folders through judgment by a neural network.

[0067] This embodiment, when a cigarette package defect is identified, directly locates the folder corresponding to the defect, allowing for image comparison and determining the accuracy of the inspection results. This neural network positioning improves the accuracy and efficiency of defect location. After each defective cigarette package is identified by the inspection tool, an image of the defective package's appearance is stored in a corresponding folder for further training of the neural network.

[0068] In some embodiments, different cigarette packet defect types are detected using at least some of the multiple detection tools. Each defect type can be detected using one, two, or more detection tools based on its characteristics. Some detection tools can be reused for different defect types.

[0069] In some embodiments, the cigarette package defect type includes at least one of a printing defect, a trademark paper damage defect, a glue overflow defect, and a cigarette package wrinkle defect.

[0070] In some embodiments, printing defects are detected by two detection tools: color area and width. Figure 3 As shown, when the color area of ​​the printing area reaches the preset area and the width of the printing area reaches the preset width, the printing is judged to be normal and "Current detection: OK" is displayed; Figure 4 As shown in the figure, if the color area of ​​the printed area does not reach the preset area and the width of the printed area does not reach the preset width, it is determined that there is a print missing defect and "Current detection: NG" is displayed; Figure 5 As shown, when the color area of ​​the printed area reaches the preset area but the width of the printed area does not reach the preset width, it is determined that there is a printing skew defect; "Current detection: NG" is displayed.

[0071] This embodiment takes into account that when a print skew defect occurs, the print width and color area are both reduced. More seriously, when a print omission defect occurs, the print width and color area are even smaller. Therefore, during testing, a score is generated based on the judgment results of each detection tool. A higher score indicates a closer approximation to a normal-looking cigarette pack. Through the combined judgment of these two detection tools, it is possible to accurately identify whether a cigarette pack has a print defect and specifically locate whether the defect is skew or omission, thereby better identifying the defect type and improving the production process.

[0072] In some embodiments, the trademark paper damage defect is detected by a color recognition detection tool. When a color change occurs and the color is the color of the liner paper, it is determined that the trademark paper damage defect exists.

[0073] In some embodiments, glue overflow defects are detected using color recognition and edge detection tools. A glue overflow defect is determined to exist when a dark white color appears and an edge appears near the underside of the seal paper (print). The overflowed glue appears dark white after solidification, and the overflow area is generally located on the underside of the seal paper.

[0074] This embodiment takes into account that if glue overflow occurs on the transparent paper, a thick white strip area will appear in the glue area, and a clear edge line will appear on the transparent paper. These two tools can accurately identify the glue overflow defect.

[0075] In some embodiments, the cigarette pack wrinkle defect is detected by color recognition and edge detection tools. When white appears and multiple edges appear in a preset smooth and flat area, it is determined that the cigarette pack wrinkle defect exists.

[0076] This embodiment takes into account that if the transparent paper of the cigarette package is wrinkled, the color of the scratches caused by the wrinkles on the surface of the cigarette package will change color to white, and edges will also appear. These two tools can accurately identify the wrinkle defects of the transparent paper of the cigarette package.

[0077] Secondly, the present disclosure provides a cigarette pack appearance defect recognition device for executing the cigarette pack appearance defect recognition method of the above embodiment.

[0078] Finally, the present disclosure provides a cigarette pack production system, such as Figure 1 As shown, in some embodiments, including:

[0079] The cigarette package appearance defect recognition device of the above embodiment;

[0080] The first conveying member 1 and the second conveying member 2 extend along a first direction x and are spaced apart along the first direction x, for conveying cigarette packets;

[0081] a forming wheel 3 disposed between the first conveying member 1 and the second conveying member 2 along a first direction x, the forming wheel 3 having a plurality of stations, and performing transparent paper wrapping at an entrance station close to the first conveying member 1; and

[0082] A visual inspection component used to capture images of cigarette packages.

[0083] The forming wheel 3 can be circular, with multiple stations spaced along the circumferential direction Y, distributed across the upper half of the forming wheel 3. The station near the first conveyor 1 is the entry station, and the station near the second conveyor 2 is the exit station. Cigarette packs 4 are wrapped in cellophane paper at the end of the first conveyor 1. The forming wheel 3 rotates along the circumferential direction Y to transfer the cigarette packs 4 from the first conveyor 1 to the second conveyor 2. A visual inspection component can be located near the forming wheel 3 to capture images of the cigarette packs. The controller 8 receives the captured images and identifies defects. If a defective pack is found, the rejection component is activated to remove it.

[0084] This embodiment can capture an image of the appearance of a cigarette package through a visual inspection component, so that defects of the cigarette package can be identified based on the image of the cigarette package by an inspection tool.

[0085] In some embodiments, the visual inspection component includes:

[0086] The first visual component 5 is provided in the upper area of ​​the forming wheel 3 near the station of the first conveying component 1 and is used to capture the appearance image of the cigarette pack just entering the forming wheel 3;

[0087] The second visual component 6 is provided in the upper area of ​​the forming wheel 3 near the station of the second conveying component 2 and is used to capture the appearance image of the cigarette pack about to leave the forming wheel 3; and

[0088] The third visual component 7 is provided in the lower area of ​​the forming wheel 3 near the station of the second conveying component 2 and is used to capture the appearance image of the cigarette pack that is about to leave the forming wheel 3.

[0089] For example, each of the aforementioned visual components can be a camera, etc. At the station where the forming wheel 3 is close to the first conveying member 1, there is installation space only above, so only the first visual component 5 is installed in the upper area to capture the appearance of the cigarette pack after it is wrapped in transparent paper at the entrance station. Because the transparent paper will be somewhat worn during the transportation of the cigarette pack on the forming wheel 3, visual components are also installed at the station where the forming wheel 3 is close to the second conveying member 2, and there is installation space above and below. The upper and lower areas of the exit station are respectively provided with a second visual component 6 and a third visual component 7 to capture the upper and lower surfaces of the cigarette pack 4, respectively, to obtain an all-round appearance image of the cigarette pack 4. Each of the aforementioned visual components can be tilted relative to the largest surface of the cigarette pack 4 to simultaneously capture images of the largest surface and adjacent surfaces.

[0090] The above are merely exemplary embodiments of the present disclosure and are not intended to limit the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present disclosure shall be included in the scope of protection of the present disclosure.

Claims

1. A method for identifying appearance defects of cigarette packages, characterized in that: include: Acquire a cigarette package image captured by a visual inspection component; Compare the time required by multiple current inspection tools to determine cigarette pack defects based on cigarette pack images with the upper limit of the processing time allowed by the corresponding machine; If the required time exceeds the upper limit of the processing time and the number of cigarette packs rejected by the detection tool is less than a preset number, adjusting the usage of the plurality of detection tools; The step of determining that the number of cigarette packs rejected by the detection tool is less than a preset number and adjusting the use of the plurality of detection tools includes: Obtaining the detection tool corresponding to each rejected cigarette pack within the most recent first preset time period; Screening out, from all the detection tools, those that have not detected cigarette pack defects within the first preset time period, i.e., removing the detection tools that have detected fewer than a preset number of cigarette packs, and issuing a message suggesting that the detection tools be removed; Among them, different defect types of cigarette packages are detected by at least some of the multiple detection tools. Each defect type can be detected by one, two or more detection tools according to its own characteristics. The cigarette package defect types include at least one of printing defects, trademark paper damage defects, glue overflow defects and cigarette package wrinkle defects.

2. The method for identifying appearance defects of cigarette packages according to claim 1, characterized in that: The steps for multiple inspection tools to determine cigarette package defects based on cigarette package images include: When any of the detection tools detects that there is a defect in the cigarette package image, it is determined that there is a defect in the cigarette package, and the detection tool used to detect the defect is located.

3. The method for identifying appearance defects of cigarette packages according to claim 1, characterized in that: The step of determining that the number of cigarette packs rejected by the detection tool is less than a preset number and adjusting the use of the plurality of detection tools includes: During the preset second time period, if the number of cigarette packs detected by a certain detection tool is less than the preset number, an alarm will be issued and a query will be made in the historical defect image library to judge the appearance of the rejected cigarette packs. If the cigarette pack defects are caused by false detection, the detection tool can be deleted; if the rejected cigarette packs do have appearance defects, the system's judgment on the necessity of the detection tool will be blocked, and the detection tool will be retained to perform the detection.

4. The method for identifying appearance defects of cigarette packages according to claim 1, characterized in that: Cigarette package images with different types of defects are classified and stored in different folders through neural network judgment.

5. The method for identifying appearance defects of cigarette packages according to claim 1, characterized in that: Print defects are detected using two detection tools: color area and width. If the color area of ​​the printed area reaches the preset area and the width of the printed area reaches the preset width, the print is determined to be normal; if the color area of ​​the printed area reaches the preset area but the width of the printed area does not reach the preset width, it is determined that there is a print skew defect; if the color area of ​​the printed area does not reach the preset area and the width of the printed area does not reach the preset width, it is determined that there is a print missing defect; and / or The label paper damage defect is detected by a color recognition detection tool. If a color change occurs and it is the color of the lining paper, it is determined that the label paper damage defect exists; and / or Glue overflow defects are detected using color recognition and edge detection tools. Glue overflow defects are identified when a strong white color appears with an edge near the underside of the seal paper; and / or The cigarette pack wrinkle defect is detected by color recognition and edge detection tools. When white appears and multiple edges appear in the preset smooth and flat area, it is determined that the cigarette pack wrinkle defect exists.

6. A device for identifying appearance defects of cigarette packages, characterized in that: Used to execute the cigarette package appearance defect recognition method according to any one of claims 1 to 5.

7. A cigarette pack production system comprising: The device for identifying appearance defects of cigarette packages according to claim 6; The first conveying component (1) and the second conveying component (2) extend along a first direction (x) and are arranged at intervals along the first direction (x); a forming wheel (3) disposed between the first conveying component (1) and the second conveying component (2) along the first direction (x), the forming wheel (3) having a plurality of stations, and performing transparent paper wrapping at an entrance station close to the first conveying component (1); and A visual inspection component used to capture images of cigarette packages.

8. The cigarette pack production system according to claim 7, characterized in that: The visual detection component includes: a first visual component (5) disposed in an upper area of ​​the forming wheel (3) near the workstation of the first conveying component (1) and used for capturing an image of the appearance of a cigarette pack that has just entered the forming wheel (3); a second visual component (6), provided in an area above the forming wheel (3) near the station of the second conveying component (2), and used for capturing an image of the appearance of a cigarette pack about to leave the forming wheel (3); and The third visual component (7) is provided in a lower area of ​​the forming wheel (3) near the workstation of the second conveying component (2) and is used to capture an image of the appearance of the cigarette pack that is about to leave the forming wheel (3).

Images