Information processing system, program product, and information processing method

Abstract

Provided are an information processing system, a program product, and an information processing method, the information processing system including a processor that outputs information related to an inspection threshold corresponding to new input information by inputting the new input information including information related to a new print job to a learned model, when input information including information of a print job is input, the learned model is learned in advance so as to output information relating to a threshold value of an inspection performed on a printed matter printed by the print job.

Description

Technical Field

[0001] The present invention relates to an information processing system, a program product, and an information processing method. The present invention can also be applied to a program and a program product. Background Art

[0002] Patent document 1 discloses a printed material inspection system, which includes: a processor for inspecting the quality of printed materials; and a display unit for displaying the results of the inspection, wherein the processor reads out and executes a program to compare a scanned image obtained by scanning a printed material of a page serving as an inspection object among pages constituting a job with a reference image created using rasterized data of the page serving as the inspection object, inspects a first defect existing in the scanned image at a preset initial level or a level set by a user, i.e., a first inspection threshold, automatically inspects a second defect existing in the scanned image at a second inspection threshold different from the first inspection threshold, and displays the first defect and the second defect on the display unit in an identifiable manner.

[0003] In the printing industry, defects in printed materials were once detected visually, but in recent years, inspection equipment has become increasingly available. While defects are detected by inspection equipment through automated mechanical determination, the inspection threshold used by the inspection equipment can sometimes detect minute defects that are invisible to the human eye, complicating inspection results and requiring unnecessary waste paper, requiring reprinting. Therefore, the inspection threshold used to inspect printed materials must be set to an accuracy close to that of visual verification.

[0004] In Patent Document 1, multiple inspection thresholds are pre-set, and one of these thresholds is specified during a print job. During print job inspection, inspection results corresponding to all thresholds are stored internally, and when the inspection results are displayed, the defect display for each inspection threshold can be dynamically switched. The technology described in Patent Document 1 is merely a user-assisted technique; the most important inspection threshold is manually determined. In other words, outputting the determined inspection threshold is performed manually.

[0005] Patent Document 1: Japanese Patent Application Laid-Open No. 2023-136927 Summary of the Invention

[0006] Therefore, an object of the present invention is to provide an information processing system, a program product, and an information processing method capable of outputting an inspection threshold value corresponding to a print job.

[0007] In order to achieve the above-mentioned purpose, the information processing system involved in the first method has a processor, which performs the following processing: by inputting new input information including information related to a new printing job into the learned model and outputting information related to the inspection threshold corresponding to the new input information, the learned model is pre-learned in a manner such that if input information including information about the printing job is input, information related to the threshold for inspection of the printed material printed by the printing job is output.

[0008] In the information processing system according to the second aspect, in the information processing system according to the first aspect, the information related to the new print job includes a type of printed matter printed by the new print job or information related to an image printed by the new print job.

[0009] In the information processing system according to the third aspect, in the information processing system according to the second aspect, the information related to the image printed by the new print job includes information on an object or color included in the image printed by the new print job.

[0010] In the information processing system according to a fourth aspect, in the information processing system according to any one of the first to third aspects, the new input information further includes information on a person who has placed an order for the printed material to be printed by the new print job.

[0011] The information processing system according to the fifth aspect is the information processing system according to the fourth aspect, wherein the information on the person who placed the order for the printed material to be printed by the new print job includes information identifying the person who placed the order for the printed material to be printed by the new print job.

[0012] The information processing system involved in the 6th mode is an information processing system involved in any one of the 1st to 3rd modes, wherein the new input information also includes information about a printing device that processes the new printing job, or information about an inspection device that inspects the printed material printed by the new printing job.

[0013] In the information processing system according to the seventh aspect, in the information processing system according to the sixth aspect, the information about the printing device includes information identifying the printing device, and the information about the inspection device includes information identifying the inspection device.

[0014] The program product involved in the 8th method records an information processing program that enables a computer to perform the following processing: by inputting new input information including information related to a new printing job into a learned model and outputting information related to an inspection threshold corresponding to the new input information, the learned model is pre-learned in a manner such that if input information including information about a printing job is input, information related to a threshold for inspecting a printed material printed by the printing job is output.

[0015] The information processing method involved in the 9th method includes the following steps: by inputting new input information including information related to a new printing job into the learned model and outputting information related to the inspection threshold corresponding to the new input information, the learned model is pre-learned in a manner such that if input information including information about the printing job is input, information related to the threshold for inspecting the printed material printed by the printing job is output.

[0016] Effects of the Invention

[0017] According to the first aspect, it is possible to output information on the inspection threshold corresponding to the print job.

[0018] According to the second aspect, information on the inspection threshold can be output based on the type of printed matter or information on the image printed on the printed matter.

[0019] According to the third aspect, it is possible to output an inspection threshold based on object information or color information included in an image printed by a print job.

[0020] According to the fourth aspect, the inspection threshold value can be output based on the information of the person who placed the order.

[0021] According to the fifth aspect, the inspection threshold value can be output based on information for identifying the person who placed the order.

[0022] According to the sixth aspect, the inspection threshold value can be output based on the information of the printing device or the information of the inspection device.

[0023] According to the seventh aspect, the inspection threshold value can be output based on the information identifying the printing device or the information identifying the inspection device.

[0024] According to the eighth aspect, it is possible to output information on the inspection threshold corresponding to the print job.

[0025] According to the ninth aspect, it is possible to output information on the inspection threshold corresponding to the print job. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Embodiments of the present invention will be described in detail with reference to the following drawings.

[0027] Figure 1 is a diagram showing a schematic configuration of an information processing system according to this embodiment;

[0028] Figure 2 This is a block diagram showing the main configuration of the electrical system of the printing device in the information processing system according to the present embodiment;

[0029] Figure 3 This is a block diagram showing the main configuration of the electrical system of the management device and client computers in the information processing system according to the present embodiment;

[0030] Figure 4 is a functional block diagram showing the functional configuration of a client computer in the information processing system according to the present embodiment;

[0031] Figure 5 is a graph showing an example of a learned neural network model;

[0032] Figure 6 This 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;

[0033] Figure 7 This is a flowchart showing an example of the flow of estimation processing performed in the client computer of the information processing system according to the present embodiment.

[0034] Explanation of symbols

[0035] 10-Information processing system, 11-Management device, 12-Printing device, 13-Inspection device, 14-Client computer, 24-Printing unit, 46-Post-processing unit, 48-Inspection unit, 101-Collection unit, 102-Learning data storage unit, 103-Learning unit, 104-Model storage unit, 105-Receiving unit, 106-Estimation unit, 107-Output unit. DETAILED DESCRIPTION

[0036] Hereinafter, an example of this embodiment will be described in detail with reference to the accompanying drawings. In this embodiment, an information processing system in which a management device, a printing device, and client computers are connected via various communication lines such as networks will be described as an example. Figure 1 It is a diagram showing a schematic configuration of an information processing system 10 according to this embodiment.

[0037] like Figure 1As shown, the information processing system 10 according to this embodiment includes a management device 11, a printing device 12, a testing device 13, and a client computer 14. The management device 11, printing device 12, testing device 13, and client computer 14 are connected via a communication line 18, such as a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, or an intranet. Furthermore, the management device 11, printing device 12, testing device 13, and client computer 14 can exchange various data with each other via communication line 18. In this embodiment, when a printing instruction is issued from client computer 14 to printing device 12 via management device 11, an image corresponding to the printing instruction is created in printing device 12.

[0038] In addition, Figure 1 In the figure, one management device 11, printing device 12, inspection device 13, and client computer 14 are shown, but they may be multiple or any one of them may be multiple.

[0039] The printing device 12 according to this embodiment has multiple functions, including a printing function for performing printing and a post-processing function for performing post-processing on printed paper. The multiple functions may include a reading function for reading an original document and obtaining image information representing the original document, a copying function for copying an image recorded in an original document onto paper, a facsimile function for transmitting and receiving various data via a telephone line (not shown), a transmission function for transmitting document information such as image information read by a reading function, and an accumulation function for accumulating document information such as read image information.

[0040] In the following description, a facsimile function may be referred to as fax, a reading function may be referred to as scan, a printing function may be referred to as print, and a copying function may be referred to as copy.

[0041] Figure 2 This is a block diagram showing a main configuration of the electrical system of the printing device 12 in the information processing system 10 according to this embodiment.

[0042] like Figure 2 As shown, 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).

[0043] Meanwhile, the printing device 12 according to this embodiment includes an HDD (hard disk drive) 26 that stores various data, application programs, and the like. Furthermore, the printing device 12 includes a display control unit 28, which is connected to the user interface 22 and controls the display of various operation screens on the display of the user interface 22. Furthermore, the printing device 12 includes an operation input detection unit 30, which is connected to the user interface 22 and 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. Furthermore, while the printing device 12 according to this embodiment uses the HDD 26 as a storage unit, this is not limiting; a non-volatile storage unit such as a flash memory may also be used. Furthermore, while the user interface 22 according to this embodiment uses a touch panel capable of both display and operation input, this is not limiting; a user interface with separate display and operation units may also be used.

[0044] The printing device 12 according to this embodiment also includes a print control unit 34 that controls the printing process of the printing unit 24, the paper conveyance to the printing unit 24 by the conveyance unit 25, the post-processing by the post-processing unit 46, and the reading of printed materials by the inspection unit 48. The printing device 12 may also include a reading control unit that controls the optical image reading operation of the document reading unit and the document conveyance operation of the document conveyance 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 with other external devices such as the client computer 14 connected to the communication line 18. The printing device 12 also includes a facsimile I / F (interface) unit that is connected to a telephone line (not shown) and transmits and receives facsimile data with a facsimile device connected to the telephone line. The printing device 12 may also include a transmission and reception control unit that controls the transmission and reception of facsimile data via the facsimile I / F unit 38. Then, 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 .

[0045] According to the above configuration, the printing device 12 of this embodiment controls the display of information such as the operation screen and various messages on the display of the user interface 22 via the display control unit 28 by the control unit 20. Furthermore, the printing device 12 controls the operations of the printing unit 24, the transmission unit 25, the post-processing unit 46, and the inspection unit 48 via the print control unit 34, and controls the transmission and reception of communication data via the communication line I / F unit 36 ​​by the control unit 20. Furthermore, the printing device 12 controls the details of operations performed on the user interface 22 by the control unit 20 based on the operation information detected by the operation input detection unit 30, and performs various controls based on the details of the operations.

[0046] In addition, in the present embodiment, an application program for executing functions such as printing is included as an example of the application program stored in the HDD 26 .

[0047] When the printing device 12 prints according to the print information, the inspection device 13 inspects the printed material by comparing the raster image indicated by the print information with the scanned image of the printed material obtained by the inspection unit 48. In this process, the inspection device 13 inspects the printed material using information related to the inspection threshold of the printed material. The information related to the inspection threshold includes, for example, a threshold for determining whether a difference between the raster image indicated by the print information and the scanned image of the printed material is acceptable, including thresholds set for the color difference or size of the difference.

[0048] Next, the main configuration of the electrical system of the management device 11 and the client computer 14 according to this embodiment will be described. Figure 3 This is a block diagram showing the main configuration of the electrical system of the management device 11 and client computer 14 in the information processing system 10 according to this embodiment. Since the management device 11 and client computer 14 are general computer configurations, the following description will use the management device 11 as a representative.

[0049] like Figure 3As shown, the management device 11 involved in this embodiment includes a CPU 11A as an example of a processor, a ROM 11B, a RAM 11C, a memory 11D, an operation unit 11E, a display unit 11F, and a communication line I / F (interface) unit 11G. The CPU 11A is responsible for the overall operation of the management device 11. The ROM 11B pre-stores various control programs, various parameters, etc. The RAM 11C is used as a work area when the CPU 11A executes various programs. The memory 11D stores various data, application programs, etc. 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 the communication line 18 and transmits and receives various data with other devices connected to the communication line 18. In addition, the communication line I / F unit 11G can be configured to be able to communicate directly with each device using various well-known wireless communications. The above-mentioned various components of the management device 11 are electrically connected to each other by a system bus 11I. In the management device 11 according to the present embodiment, the memory 11D is applied as the storage unit. However, a nonvolatile storage unit such as an HDD (Hard Disk Drive) or a flash memory is applied as an example of the memory.

[0050] With the above configuration, the management device 11 according to this embodiment has CPU 11A execute access to ROM 11B, RAM 11C, and memory 11D, acquire various data via operation unit 11E, and display various information on display unit 11F. Furthermore, CPU 11A controls the transmission and reception of communication data via communication line I / F unit 11G.

[0051] In the information processing system 10 configured in this manner, the management device 11 manages a series of manufacturing processes, which include, for example, a production process, a pre-press process, a printing plate process, a printing process, a finishing process, and a delivery process.

[0052] Next, the functional configuration of the client computer 14 will be described. Figure 4 1 is a block diagram showing an example of the functional configuration of the client computer 14 .

[0053] like Figure 4 As shown, the client computer 14 functionally includes a collecting unit 101 , a learned data storage unit 102 , a learning unit 103 , a model storage unit 104 , a receiving unit 105 , an estimating unit 106 , and an output unit 107 .

[0054] The collecting unit 101 collects learning data including a pair of information: input information related to past print jobs and information related to a printed material inspection threshold value corresponding to the input information.

[0055] The input information may include information about the print job, and the print job information may include the type of printed matter or information related to the printed image.

[0056] Specifically, types of printed materials include, for example, photo albums, posters, magazines, flyers, envelopes, business cards, catalogs, newspapers, and the like.

[0057] The management device 11 has history information for managing information related to order placement of printed materials and production information.

[0058] The collection unit 101 collects the types of printed materials received in past orders from the history information stored in the management device 11 .

[0059] Furthermore, information related to the printed image includes object information or color information included in the image printed by the print job. Information about objects included in the printed image can include the ratio of image information to character information on each page, the number of pages where image information is the primary focus, the number of pages where character information is the primary focus, or image density. Color information included in the printed image can include, for example, the primary color information.

[0060] The collection unit 101 acquires information on printed images from the history information stored in the management device 11 .

[0061] Furthermore, the input information may include information of the person who placed the printed matter order. Specifically, the information of the person who placed the printed matter order includes information identifying the person who placed the order. The information identifying the person who placed the order may include, for example, an ID or a number identifying the person who placed the order.

[0062] The collection unit 101 acquires information on a person who has placed an order for a printed material from the history information stored in the management device 11 .

[0063] 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 printed materials.

[0064] Specifically, the information regarding the printing device 12 that processes print jobs includes information identifying the printing device 12 or information indicating the model. Examples of information identifying the printing device 12 include an ID or a number identifying the printing device 12. Information regarding the inspection device 13 that inspects printed materials includes information identifying the inspection device 13 or information indicating the model. Examples of information identifying the inspection device 13 include an ID or a number identifying the inspection device 13.

[0065] The collection unit 101 acquires information on the printing device 12 that processes a print job or information on the inspection device 13 that inspects printed materials from the history information stored in the management device 11 .

[0066] Information on threshold values ​​for printed matter inspection corresponding to past print jobs is managed as history information by the management device 11 , and the collection unit 101 acquires information on the inspection threshold values ​​from the management device 11 .

[0067] Specifically, information on inspection thresholds for printed materials manually set for past print jobs is managed as history information by the management device 11. The collection unit 101 acquires the information on the manually set inspection thresholds from the management device 11 as accurate information.

[0068] The learning data storage unit 102 stores a plurality of learning data collected by the collection unit 101 .

[0069] The learning unit 103 constructs a neural network model based on a plurality of learning data. The neural network model takes input information as input and outputs information related to an inspection threshold value corresponding to the input information.

[0070] Specifically, the learned 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 related to the inspection threshold corresponding to the input information (refer to Figure 5 As an example of a learning algorithm, deep learning can be used, and a neural network model can be constructed in such a way that when input information of learning data is input, information related to a test threshold of the learning data is output.

[0071] More specifically, the input information of the learning data can be taken as input, and information related to the inspection threshold can be estimated as the output of the model, the estimated information related to the inspection threshold and the information related to the inspection threshold of the learning data can be compared to calculate the error of the information related to the inspection threshold, and the parameters of the model can be updated to minimize the error value.

[0072] Here, the correlation between various information included in the input information and information related to the inspection threshold value will be described.

[0073] First, the inspection threshold that is easy to set varies depending on the type of printed material. For example, in the case of photo albums, due to the high quality of printed materials, it is easy to set a strict inspection threshold that can detect small black spots, scratches, and bleeding. However, in the case of flyers, some defects are often tolerated, so it is easier to set a threshold that is easy to detect. Thus, there is a correlation between the type of printed material and information related to the inspection threshold.

[0074] Furthermore, the inspection threshold is typically set based on the image information printed by the print job. For example, a print job with a large amount of black solid smear is less likely to produce printing defects than a print job without such a smear, so it is easier to set a threshold that is easier to inspect. Thus, there is a correlation between the image information printed by the print job and the information related to the inspection threshold.

[0075] Furthermore, quality requirements vary depending on the orderer. For those who demand high-quality printed materials, a strict inspection threshold is set. Thus, there is a correlation between orderer information and information related to the inspection threshold.

[0076] Knowing that mechanically caused printing defects in the printer 12 and inspection device 13 occur increases the accuracy of information adjustments related to the inspection threshold. For example, if a printing defect in a particular print job is caused by mechanical factors, eliminating the mechanical issue can reduce the likelihood of the same printing defect occurring again. This reduces noise during mechanical adjustments related to the printing defect. Thus, there is a correlation between information related to the printer 12 and inspection device 13 and information related to the inspection threshold.

[0077] The model storage unit 104 stores a learned neural network model.

[0078] The receiving unit 105 receives input information regarding a new print job to be estimated.

[0079] The input information includes the type of printed matter to be printed by the print job. For example, the type of printed matter "poster" received from the management device 11 is received.

[0080] Furthermore, the input information may include information about objects or colors included in the image to be printed by the print job. For example, the input information may include information about the ratio of image information to character information of each page, "30:70," the number of pages primarily composed of image information, "5 pages," the number of pages primarily composed of character information, "10 pages," the image density, "30%," and the primary color, "blue," acquired from the management device 11.

[0081] Furthermore, the input information may include information of the person who placed the order for the printed material to be printed by the print job. For example, information identifying the person who placed the order is received from the management device 11.

[0082] Furthermore, the input information may include information about the printing apparatus 12 that processes the print job. Specifically, information identifying the printing apparatus 12 that processes the print job or information indicating the model obtained from the management apparatus 11 is received.

[0083] Furthermore, the input information may include information of the inspection device 13 that inspects the printed matter produced by the print job. Specifically, information identifying the inspection device 13 or information indicating the model obtained from the management device 11 is received.

[0084] The estimation unit 106 estimates information on the inspection threshold corresponding to the received input information using the learned neural network model stored in the model storage unit 104 .

[0085] Specifically, the various information included in the received input information is converted into a data structure (for example, a scalar value, a vector, etc.) that can be input into the learned neural network model, and input into the learned neural network model, and information related to the inspection threshold is estimated based on the output of the learned model.

[0086] The output unit 107 sets the information on the estimated inspection threshold value in the inspection device 13. Specifically, the output unit 107 transmits the information on the estimated inspection threshold value to the inspection device 13.

[0087] The inspection device 13 uses the information related to the set inspection threshold to inspect the printed material. At this point, the operator visually inspects the printed material. If the inspection results of the inspection device 13 differ from the operator's visual inspection results, the operator adjusts the information related to the inspection threshold through operation. The collection unit 101 then acquires the adjusted information related to the inspection threshold as information related to the correct inspection threshold. Alternatively, the collection unit 101 may collect a pair of input information related to the print job and the acquired information related to the inspection threshold as learning data.

[0088] Next, specific processing performed in the information processing system 10 according to the present embodiment configured as described above will be described.

[0089] First, in the client computer 14, the CPU 14A reads the learning program from the ROM 14B or the memory 14D, expands it into the RAM 14C, and executes it. Figure 6 The learning process shown.

[0090] In step S100 , the CPU 14A as the collecting unit 101 collects learning data including a pair of input information on past print jobs and information on the inspection threshold corresponding to the input information, and stores the data in the learning data storage unit 102 .

[0091] In step S102 , the CPU 14A as the learning unit 103 learns a neural network model for taking input information as input and estimating information related to the inspection threshold corresponding to the input information based on a plurality of learning data, stores it in the model storage unit 104 , and ends the learning process.

[0092] Next, in the client computer 14, the CPU 14A reads the information processing program from the ROM 14B or the memory 14D, expands it into the RAM 14C, and executes it, thereby performing Figure 7 At this time, it is assumed that various information included in the input information regarding the new print job to be estimated is input.

[0093] In step S110 , the CPU 14A, functioning as the receiving unit 105 , receives input information regarding a new print job to be estimated, which is input by the user.

[0094] In step S112 , the CPU 14A, as the estimation unit 106 , estimates information on the inspection threshold corresponding to the received input information using the learned neural network model stored in the model storage unit 104 .

[0095] In step S114 , the CPU 14A, as the output unit 107 , sets the estimated information on the inspection threshold to the inspection device 13 and ends the estimation process.

[0096] By performing such processing, it is possible to output the inspection threshold value corresponding to the print job.

[0097] Modifications

[0098] The present invention is not limited to the above-described embodiment, and various modifications and applications are possible without departing from the spirit of the present invention.

[0099] For example, although the case where various types of input information are received and information related to the inspection threshold is estimated is described as an example, it is also possible to receive not all of the various types of input information but only a portion of the various types of input information and estimate the information related to the inspection threshold.

[0100] Furthermore, although the client computer 14 has been described as estimating information about the inspection threshold while learning the model, it may also be configured separately as a learning device that learns the model and an estimating device that estimates information about the inspection threshold.

[0101] Furthermore, in the above embodiment, although the case where the inspection device uses a method of comparing a scanned image of a printed matter with a raster image of the printed matter is described as an example, an inspection device can also be used that compares one of the scanned images of a printed matter with other scanned images.

[0102] Furthermore, in the above-mentioned embodiments, the processor refers to a processor in a broad sense, including a general-purpose processor (such as a CPU, etc.) or a dedicated processor (such as a GPU: Graphics Processing Unit (graphics processor), an ASIC: Application Specific Integrated Circuit (application-specific integrated circuit), an FPGA: Field Programmable Gate Array (field programmable gate array), a programmable logic device, etc.).

[0103] Furthermore, the operations of the processors in the above embodiments can be performed not only by a single processor but also by the cooperation of multiple processors located in physically separate locations. Furthermore, the order of the operations of the processors is not limited to that described in the above embodiments and can be changed as appropriate.

[0104] Furthermore, the “system” in the present embodiment is described as being configured by a plurality of devices as an example, but may be configured by a single device having some functions of the plurality of devices.

[0105] Furthermore, the processing performed by the printing device 12 according to the above embodiment may be performed by software, hardware, or a combination of both. Furthermore, the processing performed by the printing device 12 may be stored as a program in a storage medium and distributed.

[0106] Furthermore, the present invention is not limited to the above-described contents, and can, of course, be implemented with various modifications other than the above-described contents without departing from the spirit and scope of the present invention.

[0107] Regarding the above embodiment, the following additional notes are also disclosed. (1)

[0109] An information processing system includes a processor, wherein the processor performs the following processing:

[0110] By inputting new input information including information related to a new printing job into the learned model and outputting information related to the inspection threshold corresponding to the new input information, the learned model is pre-learned in such a manner that, if input information including information related to the printing job is input, information related to the threshold for inspection of the printed material printed by the printing job is output. (2)

[0112] The information processing system according to (1), wherein

[0113] The information related to the new print job includes the type of printed matter to be printed by the new print job or information related to the image to be printed by the new print job. (3)

[0115] The information processing system according to (2), wherein

[0116] The information about the image printed by the new print job includes information about an object or color included in the image printed by the new print job. (4)

[0118] The information processing system according to any one of (1) to (3), wherein

[0119] The new input information also includes information about the person who placed an order for the printed material to be printed by the new print job. (5)

[0121] The information processing system according to (4), wherein

[0122] The information about the person who placed the order for the printed material to be printed by the new print job includes information identifying the person who placed the order for the printed material to be printed by the new print job. (6)

[0124] The information processing system according to any one of (1) to (3), wherein

[0125] 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 printed materials produced by the new print job. (7)

[0127] The information processing system according to (6), wherein

[0128] The printing device information includes information identifying the printing device, and the inspection device information includes information identifying the inspection device. (8)

[0130] An information processing program that causes a computer to execute the following processing:

[0131] By inputting new input information including information related to a new printing job into the learned model and outputting information related to the inspection threshold corresponding to the new input information, the learned model is pre-learned in such a manner that, if input information including information related to the printing job is input, information related to the threshold for inspection of the printed material printed by the printing job is output.

[0132] According to (1), it is possible to output information on the inspection threshold corresponding to the print job.

[0133] According to (2), information on the inspection threshold can be output based on the type of printed matter or information on the image printed on the printed matter.

[0134] According to (3), the inspection threshold value can be output based on the object information or color information included in the image printed by the print job.

[0135] According to (4), the inspection threshold can be output based on the information of the person who placed the order.

[0136] According to (5), the check threshold can be output based on the information identifying the person who placed the order.

[0137] According to (6), the inspection threshold value can be output based on the information of the printing device or the information of the inspection device.

[0138] According to (7), the inspection threshold value can be output based on the information identifying the printing device or the information identifying the inspection device.

[0139] According to (8), it is possible to output information related to the inspection threshold corresponding to the print job.

[0140] The above-described embodiments of the present invention are provided for the purpose of illustration and explanation. In addition, the embodiments of the present invention do not fully and exhaustively include the present invention, and do not limit the present invention to the disclosed embodiments. It is obvious that various modifications and variations are self-evident to those skilled in the art to which the present invention belongs. The present embodiment is selected and described in order to most easily explain the principles of the present invention and its application. Thus, other technical personnel in this field can understand the present invention through various modifications optimized for specific uses of the assumed various embodiments. The scope of the present invention is defined by the above claims and their equivalents.

Claims

1. An information processing system comprising a processor, wherein the processor performs the following processing: By inputting new input information including information related to a new printing job into the learned model and outputting information related to the inspection threshold corresponding to the new input information, the learned model is pre-learned in such a manner that if input information including information about the printing job is input, information related to the threshold for inspection of the printed material printed by the printing job is output.

2. The information processing system according to claim 1, wherein The information related to the new print job includes the type of printed matter to be printed by the new print job or information related to the image to be printed by the new print job.

3. The information processing system according to claim 2, wherein: The information about the image printed by the new print job includes information about an object or color included in the image printed by the new print job.

4. The information processing system according to any one of claims 1 to 3, wherein: The new input information also includes information about the person who placed an order for the printed material to be printed by the new print job.

5. The information processing system according to claim 4, wherein: The information about the person who placed the order for the printed material to be printed by the new print job includes information identifying the person who placed the order for the printed material to be printed by the new print job.

6. The information processing system according to any one of claims 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 printed materials produced by the new print job.

7. The information processing system according to claim 6, wherein: The printing device information includes information identifying the printing device, and the inspection device information includes information identifying the inspection device.

8. A program product having recorded thereon an information processing program for causing a computer to execute the following processing: By inputting new input information including information related to a new printing job into the learned model and outputting information related to the inspection threshold corresponding to the new input information, the learned model is pre-learned in such a manner that if input information including information about the printing job is input, information related to the threshold for inspection of the printed material printed by the printing job is output.

9. An information processing method comprising the following steps: By inputting new input information including information related to a new printing job into the learned model and outputting information related to the inspection threshold corresponding to the new input information, the learned model is pre-learned in such a manner that if input information including information about the printing job is input, information related to the threshold for inspection of the printed material printed by the printing job is output.

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