Information processing system and information processing program
The information processing system addresses the challenge of setting accurate print inspection thresholds by using a trained model to tailor inspection settings based on print job details, enhancing precision and reducing waste.
Patent Information
- Application Number
- JP2024045320
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-03-21
- Publication Date
- 2025-10-03
AI Technical Summary
Existing print inspection systems face challenges in setting accurate inspection thresholds, leading to unnecessary disposal of printed materials due to the identification of minute defects indistinguishable to the human eye, complicating inspection results and requiring manual adjustment.
An information processing system that utilizes a trained model to output inspection thresholds based on input information about a print job, including details about the type of printed material, image, orderer, printing device, and inspection device, to dynamically set thresholds according to specific job requirements.
Enables precise output of inspection thresholds tailored to the print job, improving accuracy and reducing unnecessary material disposal by aligning thresholds with visual inspection standards.
Smart Images

Figure 2025145240000001_ABST
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to an information processing system and an information processing program. [Background technology]
[0002] Patent Document 1 discloses a print inspection system that includes a processor that inspects the quality of printed matter and a display unit that displays the results of the inspection. The processor reads and executes a program to compare a scanned image obtained by scanning a printed matter of a page that is the target of inspection among the pages that make up a job with a reference image created using rasterized data of the page that is the target of inspection, inspects a first defect present in the scanned image using a first inspection threshold that is a preset initial level or a level set by the user, automatically inspects a second defect present in the scanned image using a second inspection threshold that is different from the first inspection threshold, and displays the first defect and the second defect on the display unit in a distinguishable manner.
[0003] In the printing industry, defects in printed materials used to be checked by human eyes, but in recent years, detection has become possible using inspection equipment. Inspection equipment detects defects automatically, but depending on the inspection threshold of the inspection equipment, it may identify minute defects that are indistinguishable to the human eye as defects, making the inspection results complicated or resulting in unnecessary disposal of the paper as damaged, requiring reprinting. For this reason, it is necessary to set the inspection threshold used to inspect printed materials to an accuracy close to that of visual inspection.
[0004] In the above-mentioned Patent Document 1, multiple inspection thresholds are prepared in advance, and one of the inspection thresholds is specified in a print job. When inspecting a print job, inspection results corresponding to all thresholds are internally stored, and when displaying the inspection results, it is possible to dynamically switch the display of defects for each inspection threshold. The technology described in the above-mentioned Patent Document 1 is merely an aid to user operation, and the most important inspection threshold is determined manually. In other words, the determined inspection threshold is output manually. [Prior art documents] [Patent documents]
[0005] [Patent Document 1] Japanese Patent Application Publication No. 2023-136927 Summary of the Invention [Problem to be solved by the invention]
[0006] Therefore, an object of the present disclosure is to provide an information processing system and an information processing program that can output an inspection threshold value according to a print job. [Means for solving the problem]
[0007] In order to achieve the above object, in the information processing system of the first aspect, the processor inputs input information including information about a print job into a trained model that has been trained in advance to output information about inspection thresholds performed on printed materials printed by the print job, and thereby outputs information about inspection thresholds corresponding to the new input information by inputting new input information including information about a new print job into the trained model.
[0008] An information processing system according to a second aspect is the information processing system according to the first aspect, wherein the information about the new print job includes information about the type of printed material to be printed by the new print job or information about the image to be printed by the new print job.
[0009] An information processing system according to a third aspect is an information processing system according to the second aspect, wherein the information relating to the image to be printed by the new print job includes information about objects or color information included in the image to be printed by the new print job.
[0010] An information processing system according to a fourth aspect is the information processing system according to the first aspect, wherein the new input information further includes information about an orderer of a printed material to be printed by the new print job.
[0011] An information processing system according to a fifth aspect is an information processing system according to the fourth aspect, wherein the information on the orderer of the printed matter to be printed by the new print job includes information identifying the orderer of the printed matter to be printed by the new print job.
[0012] An information processing system according to a sixth aspect is the information processing system according to the first aspect, wherein the new input information further includes information about a printing device that processes the new print job, or information about an inspection device that inspects the printed matter printed by the new print job.
[0013] An information processing system according to a seventh aspect is the information processing system according to the sixth aspect, wherein the information about the printing device includes information for identifying the printing device, and the information about the inspection device includes information for identifying the inspection device.
[0014] The information processing program according to the eighth aspect causes a computer to input new input information including information about a new print job into a trained model that has been trained in advance to output information about inspection thresholds for inspections performed on printed materials printed by the print job when input information including information about the print job is input, thereby outputting information about inspection thresholds corresponding to the new input information. [Effects of the Invention]
[0015] According to the first aspect, it is possible to output information relating to the inspection threshold value according to the print job.
[0016] According to the second aspect, information about the inspection threshold can be output based on the type of printed matter or information about the image to be printed on the printed matter.
[0017] According to the third aspect, the inspection threshold can be output based on information about objects or color information included in the image printed by the print job.
[0018] According to the fourth aspect, it is possible to output the inspection threshold value based on the information of the orderer.
[0019] According to the fifth aspect, the inspection threshold can be output in consideration of the information identifying the orderer.
[0020] According to the sixth aspect, the inspection threshold can be output based on the information of the printing device or the information of the inspection device.
[0021] According to the seventh aspect, the inspection threshold can be output based on the information identifying the printing device or the information identifying the inspection device.
[0022] According to the eighth aspect, it is possible to output information relating to the inspection threshold value according to the print job. [Brief explanation of the drawings]
[0023] [Figure 1] 1 is a diagram showing a schematic configuration of an information processing system according to an embodiment of the present invention; [Figure 2] FIG. 2 is a block diagram showing the main configuration of an electrical system of a printing device in the information processing system according to the present embodiment. [Figure 3] 2 is a block diagram showing the configuration of the main electrical system of a management device and a client computer in the information processing system according to the present embodiment. FIG. [Figure 4]FIG. 2 is a functional block diagram showing the functional configuration of a client computer in the information processing system according to the present embodiment. [Figure 5] FIG. 10 is a diagram illustrating an example of a trained neural network model. [Figure 6] 10 is a flowchart showing an example of the flow of a learning process performed in a client computer of the information processing system according to the present embodiment. [Figure 7] 10 is a flowchart showing an example of the flow of an estimation process performed in a client computer of the information processing system according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0024] An example of this embodiment will be described in detail below with reference to the drawings. In this embodiment, an information processing system in which a management device, a printing device, a client computer, etc. are connected to each other via communication lines such as various networks will be described as an example. Figure 1 is a diagram showing the schematic configuration of an information processing system 10 according to this embodiment.
[0025] 1, an information processing system 10 according to this embodiment includes a management device 11, a printing device 12, an inspection device 13, and a client computer 14. The management device 11, the printing device 12, the inspection device 13, and the client computer 14 are connected to each other via a communication line 18 such as a local area network (LAN), a wide area network (WAN), the internet, or an intranet. The management device 11, the printing device 12, the inspection device 13, and the client computer 14 are each capable of transmitting and receiving various data to and from each other via the communication line 18. In this embodiment, the client computer 14 issues a printing instruction to the printing device 12 via the management device 11, causing the printing device 12 to form an image in accordance with the print instruction.
[0026] Although FIG. 1 shows one management device 11, one printing device 12, one inspection device 13, and one client computer 14, there may be a plurality of each, or there may be a plurality of any of them.
[0027] The printing device 12 according to this embodiment has multiple functions, such as a printing function for performing print processing, a post-processing function for performing post-processing on printed paper, etc. The multiple functions may include a reading function for reading an original to obtain image information representing the original, a copying function for copying an image recorded on the original onto paper, a facsimile function for sending and receiving various data via a telephone line (not shown), a transfer function for transferring original information such as image information read by the reading function, etc., and a storage function for storing original information such as read image information.
[0028] In the following description, the facsimile function may be referred to as fax, the reading function as scan, the printing function as print, and the copying function as copy.
[0029] FIG. 2 is a block diagram showing the main configuration of the electrical system of the printing device 12 in the information processing system 10 according to this embodiment.
[0030] 2, the printing device 12 according to this embodiment includes a control unit 20. The control unit 20 may include a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory).
[0031] Meanwhile, the printing device 12 according to this embodiment includes a hard disk drive (HDD) 26 that stores various data, application programs, and the like. The printing device 12 is also connected to a user interface 22 and includes a display control unit 28 that controls the display of various operation screens and the like on the display of the user interface 22. The printing device 12 is also connected to the user interface 22 and includes an operation input detection unit 30 that detects operation instructions input via the user interface 22. In the printing device 12, the HDD 26, the display control unit 28, and the operation input detection unit 30 are electrically connected to a system bus 42. While the printing device 12 according to this embodiment uses the HDD 26 as a storage unit, this is not a limitation and a non-volatile storage unit such as a flash memory may also be used. Furthermore, while this embodiment uses a touch panel capable of displaying and inputting operations as the user interface 22, this is not a limitation and a user interface having a display and an operation unit that are separate may also be used.
[0032] The printing device 12 according to this embodiment also includes a print control unit 34 that controls the printing process performed by the printing unit 24, the transport of paper to the printing unit 24 by the transport unit 25, the post-processing performed by the post-processing unit 46, and the reading process of the printed material by the inspection unit 48. The printing device 12 may also include a read control unit that controls the optical image reading operation performed by the document reading unit and the document feeding operation performed by the document transport unit. The printing device 12 also includes a communication line I / F (interface) unit 36 that is connected to the communication line 18 and transmits and receives communication data to and from other external devices, such as the client computer 14, connected to the communication line 18. The printing device 12 may also include a facsimile I / F (interface) that is connected to a telephone line (not shown) and transmits and receives facsimile data to and from a facsimile device connected to the telephone line. The printing device 12 may also include a transmission / reception control unit that controls the transmission and reception of facsimile data via the facsimile I / F unit 38. In the printing device 12, the print control unit 34 and the communication line I / F unit 36 are electrically connected to the system bus 42.
[0033] With the above configuration, the printing device 12 according to this embodiment uses the control unit 20 to control the display of information such as operation screens and various messages on the display of the user interface 22 via the display control unit 28. The printing device 12 also uses the control unit 20 to control the operation of the printing unit 24, conveying unit 25, post-processing unit 46, and inspection unit 48 via the print control unit 34, and to control the sending and receiving of communication data via the communication line I / F unit 36. Furthermore, the printing device 12 uses the control unit 20 to grasp the operation content of the user interface 22 based on the operation information detected by the operation input detection unit 30, and executes various controls based on this operation content.
[0034] In this embodiment, an example of an application stored in the HDD 26 includes an application that executes a function such as printing.
[0035] When the printing device 12 prints based on the printing information, the inspection device 13 inspects the printed matter by comparing the raster image represented by the printing information with the scanned image of the printed matter obtained by the inspection unit 48. At this time, the inspection device 13 inspects the printed matter using information related to the inspection threshold of the printed matter. The information related to the inspection threshold is, for example, a threshold for determining that a difference between the raster image represented by the printing information and the scanned image of the printed matter is NG, and includes a threshold set for the color difference or magnitude of the difference.
[0036] Next, the configuration of the main electrical parts of the management device 11 and the client computer 14 according to this embodiment will be described. Fig. 3 is a block diagram showing the configuration of the main electrical parts of the management device 11 and the client computer 14 in the information processing system 10 according to this embodiment. Note that the management device 11 and the client computer 14 have general computer configurations, and therefore, the following description will be given using the management device 11 as a representative.
[0037] As shown in FIG. 3 , the management device 11 according to this embodiment includes a CPU 11A as an example of a processor, a ROM 11B, a RAM 11C, a storage 11D, an operation unit 11E, a display unit 11F, and a communication line I / F (interface) unit 11G. The CPU 11A controls the overall operation of the management device 11. The ROM 11B stores various control programs and parameters in advance. The RAM 11C is used as a work area when the CPU 11A executes various programs. The storage 11D stores various data and application programs. The operation unit 11E is used to input various information. The display unit 11F is used to display various information. The communication line I / F unit 11G is connected to a communication line 18 and transmits and receives various data to and from other devices connected to the communication line 18. The communication line I / F unit 11G may also be configured to be capable of directly communicating with each device using various well-known wireless communications. The above-described components of the management device 11 are electrically connected to one another via a system bus 111. In the management device 11 according to this embodiment, the storage 11D is used as a storage unit, and examples of storage include non-volatile storage units such as HDDs (Hard Disk Drives) and flash memories.
[0038] With the above configuration, the management device 11 according to this embodiment uses the CPU 11A to access the ROM 11B, RAM 11C, and storage 11D, to obtain various data via the operation unit 11E, and to display various information on the display unit 11F. In addition, the management device 11 uses the CPU 11A to control the transmission and reception of communication data via the communication line I / F unit 11G.
[0039] In the information processing system 10 configured as above, the management device 11 manages a series of manufacturing processes. The series of manufacturing processes includes, for example, a production process, a prepress process, a plate making process, a printing process, a processing process, and a delivery process.
[0040] Next, a description will be given of the functional configuration of the client computer 14. Fig. 4 is a block diagram showing an example of the functional configuration of the client computer 14.
[0041] As shown in FIG. 4, the client computer 14 is functionally configured to include a collection unit 101, a learning data storage unit 102, a learning unit 103, a model storage unit 104, a reception unit 105, an estimation unit 106, and an output unit 107.
[0042] The collection unit 101 collects learning data including pairs of input information related to past print jobs and information related to thresholds for inspecting printed materials that corresponds to the input information.
[0043] The input information may include print job information, which may include information about the type of print or the image to be printed.
[0044] Specifically, the types of printed matter include, for example, photo books, posters, magazines, flyers, envelopes, business cards, catalogs, newspapers, and the like.
[0045] The management device 11 has information relating to orders for printed materials and history information for managing production information.
[0046] The collection unit 101 collects the types of printed materials in past orders from the history information held by the management device 11.
[0047] Furthermore, information about the image to be printed includes information about objects or colors included in the image printed by the print job. Information about objects included in the image to be printed may include the ratio of image information to text information on each page, the number of pages that are mainly image information, the number of pages that are mainly text information, or image density. Information about colors included in the image to be printed includes, for example, main color information.
[0048] The collection unit 101 acquires information about the image to be printed from the history information held by the management device 11.
[0049] The input information may also include information about the person ordering the printed matter. Specifically, the information about the person ordering the printed matter includes information identifying the person ordering the printed matter. The information identifying the person ordering the printed matter includes, for example, an ID or number identifying the person ordering the printed matter.
[0050] The collection unit 101 acquires information about the orderer of the printed matter from the history information held by the management device 11.
[0051] The input information may include information about the printing device 12 that processes the print job or information about the inspection device 13 that inspects the printed matter.
[0052] Specifically, the information about the printing device 12 that processes the print job includes information that identifies the printing device 12 or information that indicates the model of the printing device 12. The information that identifies the printing device 12 includes, for example, an ID or number that identifies the printing device 12. The information about the inspection device 13 that inspects the printed matter includes information that identifies the inspection device 13 or information that indicates the model of the inspection device 13. The information that identifies the inspection device 13 includes, for example, an ID or number that identifies the inspection device 13.
[0053] The collection unit 101 acquires, from the history information held by the management device 11, information on the printing device 12 that processes the print job or information on the inspection device 13 that inspects the printed matter.
[0054] Information relating to the inspection thresholds for printed materials corresponding to past print jobs is managed as history information in the management device 11, and the collection unit 101 acquires information relating to the inspection thresholds from the management device 11.
[0055] Specifically, information about manually set inspection thresholds for printed materials for past print jobs is managed as history information in the management device 11. The collection unit 101 acquires information about manually set inspection thresholds from the management device 11 as correct answer information.
[0056] The learning data storage unit 102 stores a plurality of pieces of learning data collected by the collection unit 101.
[0057] The learning unit 103 receives input information based on a plurality of learning data and constructs a neural network model for outputting information relating to the inspection threshold value corresponding to the input information.
[0058] Specifically, the trained neural network model receives input information including at least one of the type of printed matter, object information, color information, orderer information, printing device 12 information, and inspection device 13 information, and estimates information about the inspection threshold corresponding to the input information (see FIG. 5). Deep learning can be used as an example of a learning algorithm, and the neural network model may be constructed so that when input information of learning data is input, information about the inspection threshold of the learning data is output.
[0059] More specifically, the input information of the training data is used as input, and information regarding the test threshold is estimated as the model output, and the estimated information regarding the test threshold is compared with the information regarding the test threshold of the training data to calculate the error in the information regarding the test threshold, and the model parameters may be updated so as to minimize the value of the error.
[0060] Here, the correlation between various information included in the input information and information related to the inspection threshold will be described.
[0061] First, the inspection thresholds that tend to be set vary depending on the type of printed material. For example, a photo book requires high-quality prints, so strict inspection thresholds that can detect small black spots, scratches, and bleeding are likely to be set, while a flyer is likely to tolerate some minor imperfections, so a more lenient inspection threshold is likely to be set. In this way, there is a correlation between the type of printed material and information about inspection thresholds.
[0062] In addition, inspection thresholds are generally set according to the information on the image printed by the print job. For example, a print job with a lot of solid black is less likely to have printing defects than a print job with less solid black, so a simpler inspection threshold is likely to be set. In this way, there is a correlation between the information on the image printed by the print job and the information on the inspection threshold.
[0063] Furthermore, quality requirements vary depending on the client. Clients who require high-quality prints will have strict inspection thresholds set. In this way, there is a correlation between client information and information about inspection thresholds.
[0064] If it is possible to determine whether a printing defect occurs due to mechanical causes in the printing device 12 and the inspection device 13, the accuracy of adjusting the information related to the inspection thresholds will increase. For example, if a printing defect occurs in a certain print job and it is due to mechanical causes, once the mechanical problem is resolved, it is unlikely that the same printing defect will continue to occur in the future. In other words, noise can be reduced when mechanically tuning for any printing defects that do occur. In this way, there is a correlation between the information on the printing device 12 and the information on the inspection device 13 and the information related to the inspection thresholds.
[0065] The model storage unit 104 stores a trained neural network model.
[0066] The receiving unit 105 receives input information related to a new print job to be estimated.
[0067] The input information includes the type of printed matter to be printed by the print job. For example, the type of printed matter, "poster," acquired from the management device 11 is accepted.
[0068] The input information may also include information about objects or colors included in the image printed by the print job. For example, the input information may include information acquired from the management device 11, such as the ratio of image information to text information on each page being "30:70," the number of pages mainly consisting of image information being "5 pages," the number of pages mainly consisting of text information being "10 pages," image density being "30%," and the main color information being "blue."
[0069] The input information may also include information about the person who ordered the printed matter to be printed by the print job. For example, information for identifying the person who ordered the printed matter obtained from the management device 11 is received.
[0070] The input information may also include information about the printing device 12 that processes the print job. Specifically, the input information is received from the management device 11 and identifies the printing device 12 that processes the print job or information indicating the model of the printing device 12.
[0071] The input information may also include information about the inspection device 13 that inspects the printed matter printed by the print job. Specifically, information that identifies the inspection device 13 or information indicating the model, acquired from the management device 11, is accepted.
[0072] The estimation unit 106 uses the trained neural network model stored in the model storage unit 104 to estimate information related to the test threshold corresponding to the received input information.
[0073] Specifically, various pieces of information contained in the received input information are converted into data structures (e.g., scalar values, vectors, etc.) that can be input into a trained neural network model, and then input into the trained neural network model, and information regarding the test threshold is estimated from the output of the trained model.
[0074] The output unit 107 sets information relating to the estimated inspection threshold value for the inspection device 13. Specifically, the output unit 107 transmits information relating to the estimated inspection threshold value to the inspection device 13.
[0075] The inspection device 13 inspects the printed material using information about the set inspection threshold. At this time, an operator visually inspects the printed material, and if the inspection result by the inspection device 13 does not match the operator's visual inspection result, the operator adjusts the information about the inspection threshold. At this time, the collection unit 101 may acquire information about the adjusted inspection threshold as information about the correct inspection threshold, and collect pairs of input information about the print job and the acquired information about the inspection threshold as learning data.
[0076] Next, specific processing performed in the information processing system 10 according to this embodiment configured as described above will be described.
[0077] First, in the client computer 14, the CPU 14A reads out the learning program from the ROM 14B or the storage 14D, loads it into the RAM 14C, and executes it, thereby performing the learning process shown in FIG.
[0078] In step S100, the CPU 14A functions as the collection unit 101 to collect learning data including pairs of input information related to past print jobs and information related to inspection thresholds corresponding to the input information, and stores the collected learning data in the learning data storage unit 102.
[0079] In step S102, the CPU 14A, as the learning unit 103, learns a neural network model for estimating information related to the test threshold corresponding to the input information based on a plurality of learning data, stores the model in the model storage unit 104, and terminates the learning process.
[0080] Next, in the client computer 14, the CPU 14A reads out the information processing program from the ROM 14B or the storage 14D, expands it into the RAM 14C, and executes it, thereby performing the estimation process shown in Fig. 7. At this time, it is assumed that various information included in the input information related to the new print job to be estimated has been input.
[0081] In step S110, CPU 14A functions as reception unit 105 and receives input information about a new print job to be estimated, which is input by the user.
[0082] In step S112, CPU 14A functions as estimation unit 106 and uses the trained neural network model stored in model storage unit 104 to estimate information related to the inspection threshold value corresponding to the received input information.
[0083] In step S114, CPU 14A functions as output unit 107 and sets information relating to the estimated inspection threshold value in inspection device 13, and the estimation process ends.
[0084] By performing the process in this manner, it is possible to output an inspection threshold value according to the print job.
[0085] <Modification> The present invention is not limited to the above-described embodiment, and various modifications and applications are possible without departing from the spirit and scope of the present invention.
[0086] For example, the example has been described in which various types of input information are accepted and information regarding the inspection threshold is estimated, but it is also possible to accept only a portion of the various types of input information rather than accepting all of the various types of input information and estimate information regarding the inspection threshold.
[0087] In addition, although the example has been described in which the client computer 14 learns a model and estimates information related to the test threshold, it may also be configured as being divided into a learning device that learns the model and an estimation device that estimates information related to the test threshold.
[0088] Furthermore, in the above embodiment, an example was given in which an inspection device that compares a scanned image of a printed matter with a raster image of the printed matter is used, but an inspection device that compares one of the scanned images of a printed matter with another scanned image may also be used.
[0089] Furthermore, in the above embodiments, the term "processor" refers to a processor in a broad sense, and includes general-purpose processors (e.g., CPUs, etc.) and dedicated processors (e.g., GPU: Graphics Processing Unit, ASIC: Application Specific Integrated Circuit, FPGA: Field Programmable Gate Array, programmable logic device, etc.).
[0090] Furthermore, the operations of the processors in the above embodiments may not only be performed by a single processor, but may also be performed by multiple processors located at physically separate locations working together. Furthermore, the order of the operations of the processors is not limited to the order described in the above embodiments, and may be changed as appropriate.
[0091] Furthermore, although the "system" in this embodiment is described as being composed of multiple devices as an example, it may also be composed of a single device that has some of the functions of the multiple devices.
[0092] The processing performed by the printing device 12 according to the above embodiment may be software-based, hardware-based, or a combination of both. The processing performed by the printing device 12 may also be stored as a program on a storage medium and distributed.
[0093] Furthermore, the present disclosure is not limited to the above, and it goes without saying that various modifications can be made without departing from the spirit of the present disclosure.
[0094] The following additional notes are provided regarding the above-described embodiments. (((1))) a processor, the processor comprising: When input information including information about a print job is input, new input information including information about a new print job is input to a trained model that has been trained in advance to output information about thresholds for an inspection performed on a printed material printed by the print job, and information about thresholds for the inspection corresponding to the new input information is output. Information processing system.
[0095] (((2))) The information processing system according to ((1))), wherein the information about the new print job includes information about the type of printed matter to be printed by the new print job or information about the image to be printed by the new print job.
[0096] (((3))) The information about the image to be printed by the new print job includes information about an object or color included in the image to be printed by the new print job. The information processing system according to (((2))).
[0097] (((4))) The information processing system according to any one of ((1))) to ((3))), wherein the new input information further includes information about an orderer of a printed matter to be printed by the new print job.
[0098] (((5))) the information about the orderer of the printed matter to be printed by the new print job includes information identifying the orderer of the printed matter to be printed by the new print job; The information processing system according to (((4))).
[0099] (((6))) The information processing system described in any one of (((1))) to (((3))), wherein the new input information further includes information about a printing device that processes the new print job, or information about an inspection device that inspects the printed matter printed by the new print job.
[0100] (((7))) The information processing system according to ((6))), wherein the information about the printing device includes information for identifying the printing device, and the information about the inspection device includes information for identifying the inspection device.
[0101] (((8))) When input information including information about a print job is input, new input information including information about a new print job is input to a trained model that has been trained in advance to output information about thresholds for an inspection performed on a printed material printed by the print job, and information about thresholds for the inspection corresponding to the new input information is output. An information processing program that causes a computer to perform certain tasks.
[0102] According to (((1))), it is possible to output information about the inspection threshold value according to the print job.
[0103] According to (((2))), information about the inspection threshold can be output based on the type of printed matter or information about the image to be printed on the printed matter.
[0104] According to (((3))), it is possible to output an inspection threshold value based on information about objects or color information contained in an image printed by a print job.
[0105] According to (((4))), the inspection threshold can be output based on the information of the client.
[0106] According to (((5))), the inspection threshold can be output based on the information identifying the orderer.
[0107] According to (((6))), the inspection threshold can be output based on the information of the printing device or the information of the inspection device.
[0108] According to (((7))), the inspection threshold can be output based on the information identifying the printing device or the information identifying the inspection device.
[0109] According to (((8))), it is possible to output information about the inspection threshold value according to the print job. [Explanation of symbols]
[0110] 10 Information Processing Systems 11 Management device 12 Printing device 13 Inspection equipment 14 client computers 24 Printing Department 46 Post-processing section 48 Inspection Department 101 Collection Department 102 Learning data storage unit 103 Learning Department 104 Model Memory Unit 105 Reception 106 Estimation part 107 Output section
Claims
1. a processor, the processor comprising: When input information including information about a print job is input, new input information including information about a new print job is input to a trained model that has been trained in advance to output information about thresholds for an inspection performed on a printed material printed by the print job, and information about thresholds for the inspection corresponding to the new input information is output. Information processing system.
2. 2. The information processing system according to claim 1, wherein the information about the new print job includes information about the type of printed material to be printed by the new print job or information about an image to be printed by the new print job.
3. The information about the image to be printed by the new print job includes information about an object or color included in the image to be printed by the new print job. The information processing system according to claim 2 .
4. The information processing system according to claim 1 , wherein the new input information further includes information about an orderer of the printed matter to be printed by the new print job.
5. the information about the orderer of the printed matter to be printed by the new print job includes information identifying the orderer of the printed matter to be printed by the new print job; 5. The information processing system according to claim 4.
6. 2. The information processing system according to claim 1, wherein the new input information further includes information on a printing device that processes the new print job, or information on an inspection device that inspects a printed matter printed by the new print job.
7. 7. The information processing system according to claim 6, wherein the information about the printing device includes information for identifying the printing device, and the information about the inspection device includes information for identifying the inspection device.
8. When input information including information about a print job is input, new input information including information about a new print job is input to a trained model that has been trained in advance to output information about thresholds for an inspection performed on a printed material printed by the print job, and information about thresholds for the inspection corresponding to the new input information is output. An information processing program that causes a computer to perform certain tasks.
Citation Information
Patent Citations
Printed matter inspection system and program
JP2023136927A