Printed matter quality detection method, device and system and storage medium
By adding position coded information to the printed material and collecting images for abnormal recognition, the problems of low manual detection efficiency and insufficient accuracy in the prior art are solved, and automatic precise positioning of abnormal parts of the printed image is realized.
Patent Information
- Application Number
- CN202510100581.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-22
- Publication Date
- 2025-05-13
AI Technical Summary
In the prior art, only the abnormal parts of the printed image of the printed material can be roughly positioned by manual means, which is inefficient and it is difficult to ensure the accuracy of detection.
By adding position code information to the multiple target patterns sequentially printed on the printed material, the image of the pattern to be detected is collected and the image is abnormally recognized. Based on the position encoding information, the position of the pattern to be detected in the printed material is determined, so as to accurately locate the abnormal parts of the printed image.
It realizes automatic detection of abnormal parts of printed images and precisely positioning of abnormal parts, improving detection efficiency and accuracy.
Smart Images
Figure CN119991808A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of detection, and in particular to a method, device, system and storage medium for detecting quality of printed matter. Background Art
[0002] As a major form of product packaging, printed materials have been widely used in many industries. During the production process, printed materials may have various defects such as misprinting, missing printing, ink spots, color difference, etc. These defects will affect the visual perception of the product, reduce customer satisfaction, and affect the brand effect of the product. In order to ensure that the quality of printed materials meets market regulations and customer expectations, it is necessary to add a quality inspection process during the production of printed materials. Traditional printed material quality inspection relies mainly on manual methods, which manually inspect the color and image quality of printed materials. Summary of the invention
[0003] The inventors have noticed that in the prior art, only the abnormal parts of the printed image of the printed product can be roughly located manually, which is not only inefficient but also difficult to ensure the accuracy of the detection.
[0004] Accordingly, the present disclosure provides a method for detecting the quality of printed products, which can automatically detect abnormal parts of printed images and accurately locate the abnormal parts of printed images.
[0005] In a first aspect of the present disclosure, a method for detecting quality of printed matter is provided, comprising: adding position coding information to an i-th target pattern among a plurality of target patterns printed sequentially on a printed matter to obtain a plurality of patterns to be detected, wherein the position coding information included in the i-th pattern to be detected is used to indicate the position of the i-th target pattern in the printed matter, 1≤i≤N, and N is the total number of target patterns; acquiring an image of the i-th pattern to be detected among the plurality of patterns to be detected; performing abnormality identification on the image of the i-th pattern to be detected; and in the case that an abnormality exists in the image of the i-th pattern to be detected, determining the position of the i-th pattern to be detected in the printed matter according to the position coding information in the image of the i-th pattern to be detected.
[0006] In some embodiments, the i-th pattern to be detected is removed from the printed product according to the position of the i-th pattern to be detected in the printed product.
[0007] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected includes at least one of the following abnormalities: a pull line in the image, a dirty spot in the image, and a misregistration defect in the image.
[0008] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected also includes that the position coding information in the i-th pattern to be detected includes at least one of the following abnormalities: dirty spots exist in the position coding information, misprint defects exist in the position coding information, and offset defects exist in the position coding information.
[0009] In some embodiments, the position encoding information includes a QR code.
[0010] In a second aspect of the present disclosure, a printed matter quality detection device is provided, comprising: an information adding module, configured to add position coding information to an i-th target pattern among a plurality of target patterns printed sequentially on a printed matter, so as to obtain a plurality of patterns to be detected, wherein the position coding information included in the i-th pattern to be detected is used to indicate the position of the i-th target pattern in the printed matter, 1≤i≤N, N being the total number of target patterns; an acquisition module, configured to acquire an image of the i-th pattern to be detected among the plurality of patterns to be detected; an identification module, configured to perform abnormality identification on the image of the i-th pattern to be detected; and a processing module, configured to determine the position of the i-th pattern to be detected in the printed matter according to the position coding information in the image of the i-th pattern to be detected when an abnormality exists in the image of the i-th pattern to be detected.
[0011] In some embodiments, the processing module is configured to remove the i-th pattern to be detected from the printed product according to the position of the i-th pattern to be detected in the printed product.
[0012] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected includes at least one of the following abnormalities: a pull line in the image, a dirty spot in the image, and a misregistration defect in the image.
[0013] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected also includes that the position coding information in the i-th pattern to be detected includes at least one of the following abnormalities: dirty spots exist in the position coding information, misprint defects exist in the position coding information, and offset defects exist in the position coding information.
[0014] In some embodiments, the position encoding information includes a QR code.
[0015] In a third aspect of the present disclosure, a printed product quality detection device is provided, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute a printed product quality detection method as described in any of the above embodiments based on instructions stored in the memory.
[0016] In a fourth aspect of the present disclosure, a printed product quality inspection system is provided, comprising: a printed product quality inspection device as described in any of the above embodiments; a jet printer configured to add position coding information to each target pattern of a plurality of target patterns printed sequentially on the printed product; and an image acquisition device configured to acquire an image of each pattern to be inspected.
[0017] In a fifth aspect of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and when the instructions are executed by a processor, the method described in any of the above embodiments is implemented.
[0018] In a sixth aspect of the present disclosure, a computer program product is provided, comprising computer instructions, wherein when the computer instructions are executed by a processor, the method described in any of the above embodiments is implemented.
[0019] Other features and advantages of the present disclosure will become apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative labor.
[0021] Figure 1 A schematic diagram of a process of a printed product quality detection method according to an embodiment of the present disclosure;
[0022] Figure 2 This is a schematic diagram of the structure of a printed product quality detection device according to an embodiment of the present disclosure;
[0023] Figure 3 It is a structural schematic diagram of a printed matter quality detection device according to another embodiment of the present disclosure;
[0024] Figure 4 It is a structural schematic diagram of a printed product quality detection system according to an embodiment of the present disclosure; DETAILED DESCRIPTION
[0025] 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 of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means 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 creative work are within the scope of protection of the present disclosure.
[0026] Unless specifically stated otherwise, the relative arrangement of components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure.
[0027] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.
[0028] Technologies, methods, and apparatus known to ordinary technicians in the relevant field may not be discussed in detail, but where appropriate, such technologies, methods, and apparatus should be considered part of the authorization specification.
[0029] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.
[0030] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.
[0031] Figure 1 The following is a flow chart of a printed product quality detection method according to an embodiment of the present disclosure. In some embodiments, the following printed product quality detection method is performed by a printed product quality detection device, including steps 11-14.
[0032] In step 11, position coding information is added to the i-th target pattern among multiple target patterns printed sequentially on the printed matter to obtain multiple patterns to be detected, wherein the position coding information included in the i-th pattern to be detected is used to indicate the position of the i-th target pattern in the printed matter, 1≤i≤N, and N is the total number of target patterns.
[0033] In some embodiments, the location encoding information includes a QR code.
[0034] The position coding information also includes other identifiable coding graphics such as bar codes.
[0035] For example, there are multiple cigarette box patterns on the reel-type printed matter, and a QR code is added to each cigarette box pattern. The pattern to be detected is the cigarette box pattern and the QR code. Each QR code records the exact position of the cigarette box pattern corresponding to the QR code in the reel-type printed matter, and is coded in the order of the cigarette box pattern.
[0036] In step 12, an image of the i-th pattern to be detected among the multiple patterns to be detected is acquired.
[0037] For example, after the QR code is printed, the image of the reel-type printed product is immediately captured. A high-resolution color linear array CCD (charge coupled device) camera is used to capture a complete and clear image of the cigarette box pattern and the corresponding QR code.
[0038] In step 13, abnormality recognition is performed on the image of the i-th pattern to be detected.
[0039] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected includes at least one of the following abnormalities: a pull line exists in the image, a dirty spot exists in the image, and a misregistration defect exists in the image.
[0040] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected also includes that the position coding information in the i-th pattern to be detected includes at least one of the following abnormalities: dirty spots exist in the position coding information, overprinting defects exist in the position coding information, and offset defects exist in the position coding information.
[0041] It should be noted that the abnormality in the image of the target pattern will affect the visual perception of the printed matter. At this time, if there is no abnormality in the image of the position coding information, the position coding information can still be recognized. If there is also an abnormality in the image of the position coding information, the position coding information cannot be recognized.
[0042] For example, the pattern to be detected includes a cigarette box pattern and a QR code. An abnormality in the image of the cigarette box pattern will affect the appearance of the cigarette box and reduce customer satisfaction; an abnormality in the image of the QR code will cause the QR code to be unable to be recognized.
[0043] In step 14, when there is an abnormality in the image of the i-th pattern to be detected, the position of the i-th pattern to be detected in the printed product is determined according to the position coding information in the image of the i-th pattern to be detected.
[0044] It should be noted here that, in the case where the image of the i-th pattern to be detected has an abnormality, if the image of the position coding information does not have an abnormality, the position of the i-th pattern to be detected in the printed matter can be directly determined based on the position coding information in the image of the i-th pattern to be detected. If the image of the position coding information has an abnormality, the position coding information cannot be recognized, and the position of the i-1 or i+1 pattern to be detected in the printed matter can be determined based on the position coding information in the image of the i-1 or i+1 pattern to be detected, and the position of the i-1 or i+1 pattern to be detected in the printed matter can be further calculated.
[0045] In some embodiments, the i-th pattern to be detected is removed from the printed product according to the position of the i-th pattern to be detected in the printed product.
[0046] Printed products with abnormal printed images will be rejected as defective products. For example, in reel-type printed products, after the cigarette box pattern and QR code are printed, the image of the pattern to be detected is immediately collected and abnormal identification is performed. During the slitting process, the cigarette box pattern corresponding to the abnormal image can be rejected.
[0047] In the print quality detection method provided in the above-mentioned embodiment of the present disclosure, by adding position coding information to the target pattern, collecting the pattern to be detected and performing abnormality identification, and locating the pattern corresponding to the identified abnormal image according to the position coding information, the abnormal part of the printed image can be automatically detected and the abnormal part of the printed image can be accurately located.
[0048] Figure 2 FIG. 1 is a schematic diagram of the structure of a printed product quality detection device according to an embodiment of the present disclosure. Figure 2 As shown, the printed product quality detection device includes an information adding module 21 , a collection module 22 , an identification module 23 and a processing module 24 .
[0049] The information adding module 21 adds position coding information to the i-th target pattern among multiple target patterns printed sequentially on the printed matter to obtain multiple patterns to be detected, wherein the position coding information included in the i-th pattern to be detected is used to indicate the position of the i-th target pattern in the printed matter, 1≤i≤N, and N is the total number of target patterns.
[0050] In some embodiments, the location encoding information includes a QR code.
[0051] The position coding information also includes other identifiable coding graphics such as bar codes.
[0052] For example, there are multiple cigarette box patterns on the reel-type printed matter, and a QR code is added to each cigarette box pattern. The pattern to be detected is the cigarette box pattern and the QR code. Each QR code records the exact position of the cigarette box pattern corresponding to the QR code in the reel-type printed matter, and is coded in the order of the cigarette box pattern.
[0053] The acquisition module 22 acquires an image of an i-th pattern to be detected among a plurality of patterns to be detected.
[0054] For example, after the QR code is printed, the image of the reel-type printed product is immediately captured. A high-resolution color linear array CCD camera is used to capture a complete and clear image of the cigarette box pattern and the corresponding QR code.
[0055] The recognition module 23 performs abnormality recognition on the image of the i-th pattern to be detected;
[0056] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected includes at least one of the following abnormalities: a pull line exists in the image, a dirty spot exists in the image, and a misregistration defect exists in the image.
[0057] In some embodiments, the abnormality existing in the image of the i-th pattern to be detected also includes that the position coding information in the i-th pattern to be detected includes at least one of the following abnormalities: dirty spots exist in the position coding information, overprinting defects exist in the position coding information, and offset defects exist in the position coding information.
[0058] It should be noted that the abnormality in the image of the target pattern will affect the visual perception of the printed matter. At this time, if there is no abnormality in the image of the position coding information, the position coding information can still be recognized. If there is also an abnormality in the image of the position coding information, the position coding information cannot be recognized.
[0059] For example, the pattern to be detected includes a cigarette box pattern and a QR code. An abnormality in the image of the cigarette box pattern will affect the appearance of the cigarette box and reduce customer satisfaction; an abnormality in the image of the QR code will cause the QR code to be unable to be recognized.
[0060] When there is an abnormality in the image of the i-th pattern to be detected, the processing module 24 determines the position of the i-th pattern to be detected in the printed product according to the position coding information in the image of the i-th pattern to be detected.
[0061] It should be noted here that, in the case where the image of the i-th pattern to be detected has an abnormality, if the image of the position coding information does not have an abnormality, the position of the i-th pattern to be detected in the printed matter can be directly determined based on the position coding information in the image of the i-th pattern to be detected. If the image of the position coding information has an abnormality, the position coding information cannot be recognized, and the position of the i-1 or i+1 pattern to be detected in the printed matter can be determined based on the position coding information in the image of the i-1 or i+1 pattern to be detected, and the position of the i-1 or i+1 pattern to be detected in the printed matter can be further calculated.
[0062] In some embodiments, the processing module removes the i-th pattern to be detected from the printed product according to the position of the i-th pattern to be detected in the printed product.
[0063] Printed products with abnormal printed images will be rejected as defective products. For example, in reel-type printed products, after the cigarette box pattern and QR code are printed, the image of the pattern to be detected is immediately collected and abnormal identification is performed. During the slitting process, the cigarette box pattern corresponding to the abnormal image can be rejected.
[0064] In the print quality inspection device provided in the above-mentioned embodiment of the present disclosure, by adding position coding information to the target pattern, collecting the pattern to be inspected and performing abnormality identification, and locating the pattern corresponding to the identified abnormal image according to the position coding information, the abnormal part of the printed image can be automatically detected and the abnormal part of the printed image can be accurately located.
[0065] Figure 3 FIG. 1 is a schematic diagram of the structure of a printed product quality detection device according to another embodiment of the present disclosure. Figure 3 As shown, the printed product quality detection device 30 can be embodied in the form of a general-purpose computing device. The printed product quality detection device 30 includes a memory 31, a processor 32, and a bus 33 connecting different system components.
[0066] The memory 31 may include, for example, a system memory, a non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader, and other programs. The system memory may include a volatile storage medium, such as a random access memory (RAM) and / or a cache memory. The non-volatile storage medium may store, for example, instructions of a corresponding embodiment of at least one print quality detection method being executed. The non-volatile storage medium includes, but is not limited to, a disk memory, an optical memory, a flash memory, etc.
[0067] The processor 32 may be implemented by a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistors, etc., as discrete hardware components. Accordingly, each module such as an acquisition module, a calculation module, and an adjustment module may be implemented by a central processing unit (CPU) running instructions in a memory that execute corresponding steps, or may be implemented by a dedicated circuit that executes corresponding steps.
[0068] For example, the processor 32 is configured to execute instructions stored in the memory to implement the following Figure 1 The method of any one of the embodiments.
[0069] The bus 33 may use any of a variety of bus structures, including, but not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, and a Peripheral Component Interconnect (PCI) bus.
[0070] The interfaces 34, 35, 36 of the printed product quality detection device 30, the memory 31 and the processor 32 can be connected via a bus 33. The input / output interface 34 can provide a connection interface for input / output devices such as a display, a mouse, and a keyboard. The network interface 35 provides a connection interface for various networked devices. The storage interface 36 provides a connection interface for external storage devices such as a floppy disk, a USB flash drive, and an SD card.
[0071] Here, various aspects of the present disclosure are described with reference to flowcharts and / or block diagrams of methods, devices, and computer program products according to embodiments of the present disclosure. It should be understood that each frame of the flowchart and / or block diagram and the combination of frames can be implemented by computer-readable program instructions.
[0072] These computer-readable program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable device to produce a machine, so that the processor executes the instructions to produce means for implementing the functions specified in one or more blocks in the flowchart and / or block diagram.
[0073] These computer-readable program instructions may also be stored in a computer-readable memory, which cause the computer to work in a specific manner to produce an article of manufacture, including instructions for implementing the functions specified in one or more blocks in the flowchart and / or block diagram.
[0074] The present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects.
[0075] The present disclosure also provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and when the instructions are executed by a processor, the following is implemented: Figure 1 The method of any one of the embodiments.
[0076] The present disclosure also provides a computer program product, including computer instructions, wherein when the computer instructions are executed by a processor, the following is achieved: Figure 1 The method of any one of the embodiments.
[0077] Figure 4 FIG. 1 is a schematic diagram of a printed product quality inspection system according to an embodiment of the present disclosure. Figure 4 As shown, the printed product quality detection system includes a detection device 41, a printer 42 and an image acquisition device 43.
[0078] The detection device 41 is as follows Figure 2 A printed matter quality detection device according to any one of the embodiments.
[0079] The inkjet printer 42 adds position coding information to each of the plurality of target patterns sequentially printed on the printed matter.
[0080] The image acquisition device 43 acquires an image of each pattern to be detected.
[0081] By implementing the print quality detection system of the above-mentioned embodiment of the present disclosure, it is possible to automatically detect abnormal parts of the printed image and accurately locate the abnormal parts of the printed image.
[0082] In some embodiments, the functional unit described above can be implemented as a general-purpose processor, a programmable logic controller (PLC), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component or any appropriate combination thereof for performing the functions described in the present disclosure.
[0083] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.
[0084] The description of the present disclosure is given for the purpose of illustration and description, and is not intended to be exhaustive or to limit the present disclosure to the disclosed form. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present disclosure, and to enable those of ordinary skill in the art to understand the present disclosure and thereby design various embodiments with various modifications suitable for specific uses.
Claims
1. A method for detecting the quality of printed matter, comprising: Adding position coding information to an i-th target pattern among a plurality of target patterns sequentially printed on a printed matter to obtain a plurality of patterns to be detected, wherein the position coding information included in the i-th pattern to be detected is used to indicate the position of the i-th target pattern in the printed matter, 1≤i≤N, and N is the total number of target patterns; Acquire an image of an i-th pattern to be detected among the multiple patterns to be detected; Performing abnormality recognition on the image of the i-th pattern to be detected; When there is an abnormality in the image of the i-th pattern to be detected, the position of the i-th pattern to be detected in the printed product is determined according to the position coding information in the image of the i-th pattern to be detected.
2. The printed matter quality detection method according to claim 1, further comprising: According to the position of the i-th pattern to be detected in the printed product, the i-th pattern to be detected is removed from the printed product.
3. The printed matter quality detection method according to claim 1, wherein: The abnormality existing in the image of the i-th pattern to be detected includes at least one of the following abnormalities: a pull line in the image, a dirty spot in the image, and an overprint misregistration defect in the image.
4. The printed matter quality detection method according to claim 3, wherein: The abnormality existing in the image of the i-th pattern to be detected also includes that the position coding information in the i-th pattern to be detected includes at least one of the following abnormalities: dirty spots in the position coding information, misregistration defects in the position coding information, and offset defects in the position coding information.
5. The printed matter quality detection method according to any one of claims 1 to 4, wherein: The position coding information includes a QR code.
6. A printed product quality detection device, comprising: an information adding module, configured to add position coding information to an i-th target pattern among a plurality of target patterns printed sequentially on a printed matter, so as to obtain a plurality of patterns to be detected, wherein the position coding information included in the i-th pattern to be detected is used to indicate a position of the i-th target pattern in the printed matter, 1≤i≤N, and N is the total number of target patterns; an acquisition module, configured to acquire an image of an i-th pattern to be detected among the multiple patterns to be detected; A recognition module, configured to perform abnormality recognition on the image of the i-th pattern to be detected; The processing module is configured to determine the position of the i-th pattern to be detected in the printed product according to the position coding information in the image of the i-th pattern to be detected when there is an abnormality in the image of the i-th pattern to be detected.
7. The printed matter quality detection device according to claim 6, wherein: The processing module is configured to remove the i-th pattern to be detected from the printed product according to the position of the i-th pattern to be detected in the printed product.
8. The printed matter quality detection device according to claim 6, wherein: The abnormality existing in the image of the i-th pattern to be detected includes at least one of the following abnormalities: a pull line in the image, a dirty spot in the image, and an overprint misregistration defect in the image.
9. The printed matter quality detection device according to claim 8, wherein: The abnormality existing in the image of the i-th pattern to be detected also includes that the position coding information in the i-th pattern to be detected includes at least one of the following abnormalities: dirty spots in the position coding information, misregistration defects in the position coding information, and offset defects in the position coding information.
10. The printed matter quality detection device according to any one of claims 6 to 9, wherein: The position coding information includes a QR code.
11. A printed product quality detection device, comprising: Memory; A processor is coupled to the memory, and the processor is configured to execute the printed product quality detection method according to any one of claims 1 to 5 based on instructions stored in the memory.
12. A printed product quality detection system, comprising: The printed matter quality detection device according to any one of claims 6 to 11; a jet printer configured to add position coding information to each of a plurality of target patterns sequentially printed on a printed matter; The image acquisition device is configured to acquire an image of each pattern to be detected.
13. A computer-readable storage medium, wherein: The computer-readable storage medium stores computer instructions, and when the instructions are executed by a processor, the printed product quality detection method according to any one of claims 1 to 5 is implemented.
14. A computer program product, comprising computer instructions, wherein when the computer instructions are executed by a processor, the printed product quality detection method according to any one of claims 1 to 5 is implemented.