Information acquisition device, information storage system, information acquisition method, and information acquisition program

Abstract

Reduce the risk of information shortage. [Solution] The information acquisition device 32 comprises an image information acquisition unit 50, an image-derived information acquisition unit 52, and an image-derived information transmission unit 132. The image information acquisition unit 50 acquires image information. The image-derived information acquisition unit 52 acquires image-derived information derived from the image information. The image-derived information transmission unit 132 transmits the image-derived information to a predetermined destination. The image-derived information acquisition unit 52 has a detection request unit 100 and an image-derived information receiving unit 102. The detection request unit 100 transmits request information to the generative artificial intelligence. The request information indicates a request to detect predetermined items contained in the image information. The request information is transmitted to the generative artificial intelligence together with the image information by the detection request unit 100. The image-derived information receiving unit 102 receives the image-derived information generated and sent back by the generative artificial intelligence in response to the receipt of the request information.

Description

Technical Field

[0001] The present invention relates to an information acquisition device, an information storage system, an information acquisition method, and an information acquisition program.

Background Art

[0002] Patent Document 1 discloses an information input device. This information input device includes a transmission-side storage unit, a transmission-side reception unit, a transmission-side display unit, a transmission-side information transmission unit, and a transmission-side information reception unit. The transmission-side storage unit stores identification information for authenticating an inspector, information input by the inspector, and information that assists the inspector in inputting information. The transmission-side reception unit receives information input from the inspector. The transmission-side display unit outputs information by display. The transmission-side information transmission unit transmits information to an information storage device. The transmission-side information reception unit receives information from the information storage device.

[0003] According to the information input device disclosed in Patent Document 1, defect type information and information related thereto can be transmitted to the information storage device.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of Invention

Problems to be Solved by the Invention

[0005] However, the information input device disclosed in Patent Document 1 has a problem that information transmitted to the information storage device may have insufficient information due to oversight by the inspector.

[0006] The present invention solves such a problem. An object of the present invention is to provide an information acquisition device, an information storage system, an information acquisition method, and an information acquisition program that reduce the risk of insufficient information. [Means for solving the problem]

[0007] The information acquisition device, information storage system, information acquisition method, and information acquisition program of the present invention will be described below. The reference numerals used in the figures in this section are for the purpose of aiding understanding the content of the invention and are not intended to limit the content to the illustrated scope.

[0008] To solve the above problems, according to one aspect of the present invention, the information acquisition device 32 comprises an image information acquisition unit 50, an image-derived information acquisition unit 52, and an image-derived information transmission unit 132. The image information acquisition unit 50 acquires image information. The image-derived information acquisition unit 52 acquires image-derived information derived from the image information. The image-derived information transmission unit 132 transmits the image-derived information to a predetermined destination. The image-derived information acquisition unit 52 includes a detection request unit 100 and an image-derived information receiving unit 102. The detection request unit 100 transmits request information to the generative artificial intelligence 24. The request information indicates a request to detect predetermined items contained in the image information. The request information is transmitted to the generative artificial intelligence 24 together with the image information by the detection request unit 100. The image-derived information receiving unit 102 receives the image-derived information generated and sent back by the generative artificial intelligence 24 in response to the receipt of the request information.

[0009] Image-derived information received from the generative artificial intelligence 24 is transmitted to a designated destination. This image-derived information is generated and returned by the generative artificial intelligence 24 in response to a request to detect predetermined items contained in the image information. As a result, the designated destination receiving the image-derived information can accumulate predetermined items detected without relying on the attention of a natural human. This reduces the risk of information deficiency.

[0010] In addition The above-mentioned detection request unit 100 includes a request information storage unit 110 and a request sequential transmission unit 114. ru.The request information storage unit 110 stores the request information in advance. The request information indicates a request to detect a predetermined item. The sequential request transmission unit 114 sequentially transmits the request information and image information to the generative artificial intelligence 24.

[0011] The request information storage unit 110 stores the request information in advance. This reduces the time required to complete a transmission compared to creating new request information each time a transmission is made.

[0012] Alternatively, it is desirable that the aforementioned request information storage unit 110 stores multiple types of request information in advance. In this case, it is desirable that the detection request unit 100 further includes a designation reception unit 112. The designation reception unit 112 receives a designation for any of the multiple types of request information. In this case, it is desirable that the sequential transmission unit 114 transmits sequentially the request information and image information corresponding to the designation received by the designation reception unit 112.

[0013] The designated reception unit 112 receives the designated information and image information in sequence, which enables the acquisition of image-derived information that is appropriate to the circumstances at the time of designation.

[0014] Alternatively, it is desirable that the aforementioned request information includes a request to detect multiple types of specified items.

[0015] When the generative artificial intelligence 24's responses to multiple types of predetermined items are shown using image-derived information, the risk of information deficiency is reduced accordingly.

[0016] Alternatively, it is desirable that the aforementioned multiple types of prescribed items include items relating to whether or not there is a problem, and items relating to at least one of the corrective measures for the problem and the anticipated causes of the problem.

[0017] The usefulness of image-derived information is improved if it indicates not only whether there is a problem, but also at least one of the proposed corrective measures for the problem or the assumed cause of the problem.

[0018] Alternatively, it is desirable that the aforementioned sequential transmission unit 114 further transmits the comparison target information to the generative artificial intelligence 24. The comparison target information is used for comparison with the image information. In this case, it is desirable that the request is to detect predetermined items based on the comparison result between the image information and the comparison target information.

[0019] In response to a request to detect a predetermined item based on the comparison result between image information and comparison target information, the image-derived information generated and returned by the generative artificial intelligence 24 reflects that comparison result. Because the comparison result is reflected, the possibility of the content of the image-derived information being irrelevant is reduced compared to when the predetermined item is detected without comparison with comparison target information.

[0020] In addition The image information acquisition unit 50 described above acquires image information by receiving image information from the information storage device 30 where the image information is stored. ru. Up The predetermined destination described is the information storage device 30. ru.

[0021] When image-derived information resulting from image information transmitted by the information storage device 30 is returned to the information storage device 30, both the image information and the image-derived information can be stored together. This reduces the risk of information deficiency.

[0022] According to another aspect of the present invention, the information storage system 20 comprises an information storage device 30 and an information acquisition device 32. The information storage device 30 has a storage-side memory unit 90 and a storage-side information transmission unit 92. The storage-side memory unit 90 is for storing image information. The storage-side information transmission unit 92 transmits image information to the information acquisition device 32. The information acquisition device 32 has an image information acquisition unit 50, an image-derived information acquisition unit 52, and an image-derived information transmission unit 132. The image information acquisition unit 50 acquires image information by receiving it from the information storage device 30. The image-derived information acquisition unit 52 acquires image-derived information. The image-derived information is derived from the image information. The image-derived information transmission unit 132 transmits the image-derived information to the information storage device 30. The image information acquisition unit 50 acquires image information by receiving image information from the information storage device 30.The image-derived information acquisition unit 52 includes a detection request unit 100 and an image-derived information reception unit 102. The detection request unit 100 requests the generative artificial intelligence 24 via communication to detect a predetermined item included in the image information. The image-derived information reception unit 102 receives, from the generative artificial intelligence 24, the image-derived information generated and returned by the generative artificial intelligence 24 in response to the request. The detection request unit 100 includes a request information storage unit 110 and a sequential request transmission unit 114. The request information storage unit 110 stores request information in advance. The request information indicates a request to detect a predetermined item. The sequential request transmission unit 114 sequentially transmits the request information and image information to the generative artificial intelligence 24. The information storage device 30 further includes a storage-side information reception unit 94. The storage-side information reception unit 94 receives the image-derived information transmitted from the information acquisition device 32. The storage-side storage unit 90 stores the image-derived information in addition to the image information. According to this information storage system 20, the risk of information shortage is reduced.

[0023] According to another aspect of the present invention, an information acquisition method includes an image information acquisition step S200, an image-derived information acquisition step S202, and an image-derived information transmission step S204. The image information acquisition step S200 is a step of acquiring image information. The image-derived information acquisition step S202 is a step of acquiring image-derived information derived from the image information. The image-derived information transmission step S204 is a step of transmitting the image-derived information to a predetermined transmission destination. In the image information acquisition process S200, another computer 42 acquires image information from a computer 42 that stores image information. The image-derived information acquisition step S202 includes a detection request step S220 and an image-derived information reception step S222. The detection request step S220 is The aforementioned computer 42, which acquired the image information, a step of requesting the generative artificial intelligence 24 via communication to detect a predetermined item included in the image information. The image-derived information reception step S222 is a step of, from the generative artificial intelligence 24, obtaining the image-derived information generated and returned by the generative artificial intelligence 24 in response to the request The aforementioned computer 42 acquired the image information. receiving. The detection request step S220 includes a sequential request transmission step S246. In the sequential request transmission step S246, request information and image information, which are pre-stored in the aforementioned other computer 42 and indicate a request to detect predetermined items, are sequentially transmitted to the generative artificial intelligence 24. The aforementioned predetermined destination is the computer 42 that stores the image information. According to this information acquisition method, the risk of information shortage is reduced.

[0024] According to another aspect of the present invention, the information acquisition program is performed by a computer 42 using the information acquisition method described below. The information acquisition method comprises an image information acquisition step S200, an image-derived information acquisition step S202, and an image-derived information transmission step S204. The image information acquisition step S200 is a step of acquiring image information. The image-derived information acquisition step S202 is a step of acquiring image-derived information derived from the image information. The image-derived information transmission step S204 is a step of transmitting the image-derived information to a predetermined destination. In the image information acquisition process S200, the computer 42 acquires image information by receiving image information from the information storage device 30 where the image information is stored. The image-derived information acquisition step S202 includes a detection request step S220 and an image-derived information reception step S222. The detection request step S220 is, Image information was obtained. This is the process in which computer 42 requests the generative artificial intelligence 24 via communication to detect predetermined items contained in the image information. The image-derived information receiving process S222 is the process in which the generative artificial intelligence 24 receives the image-derived information that it has generated and returned in response to the request from the generative artificial intelligence 24. Image information was obtained. This is the process that computer 42 receives. The detection request step S220 includes a sequential request transmission step S246. In the sequential request transmission step S246, request information and image information, which are pre-stored in the computer 42 indicating a request to detect predetermined items, are sequentially transmitted to the generative artificial intelligence 24. The predetermined destination is the information storage device 30. This information acquisition program reduces the risk of information shortages. [Effects of the Invention]

[0025] This invention mitigates the risk of information deficiency. [Brief explanation of the drawing]

[0026] [Figure 1] This figure shows the configuration of an information storage system according to one embodiment of the present invention. [Figure 2] This figure shows the hardware configuration of an information storage device according to one embodiment of the present invention. [Figure 3] This figure shows the hardware configuration of an information acquisition device according to one embodiment of the present invention. [Figure 4] This is a functional block diagram of an information storage device according to one embodiment of the present invention. [Figure 5] This is a functional block diagram of an information acquisition device according to one embodiment of the present invention. [Figure 6]This is a flowchart illustrating the control procedure for an information acquisition method according to one embodiment of the present invention. [Figure 7] This flowchart illustrates the control procedure for the detection request process according to one embodiment of the present invention. [Figure 8] This figure shows an example of how to display the name of image information that can be transmitted from an information storage device to an information acquisition device in one embodiment of the present invention. [Figure 9] This is a conceptual diagram showing the structure of the request information relating to "known defects" after additional information according to one embodiment of the present invention has been added. [Figure 10] This figure shows an example of text data among image-derived information according to one embodiment of the present invention. [Figure 11] This figure shows an example of a JSON format data file among the image-derived information according to one embodiment of the present invention. [Modes for carrying out the invention]

[0027] Embodiments of the present invention will be described below with reference to the drawings. In the following description, the same parts are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed descriptions of them will not be repeated.

[0028] [Description of the information storage system configuration] One embodiment of the present invention will be described below. Figure 1 is a diagram showing the configuration of the information storage system 20 according to this embodiment. Based on Figure 1, the configuration of the information storage system 20 according to this embodiment will be described.

[0029] The information storage system 20 according to this embodiment comprises an information storage device 30, an information acquisition device 32, and an information output device 34.

[0030] The information storage device 30 stores defective information, multiple image information, and image-derived information associated with each of those multiple image information.

[0031] In this embodiment, the defect information indicates matters concerning defects in the product discovered as a result of inspection of the product. The defect information in this embodiment includes defect type information and other matters information.

[0032] Defect type information indicates one of the types of defects that occur in the product. Separate item information is associated with the defect type information. Separate item information indicates matters other than the defects that occur in the product. In this embodiment, separate item information includes independent item information and related item information.

[0033] In this embodiment, independent information refers to one of the following: the product's manufacturer code, product model data, product serial number, or inspector's identification information. All of these are independent of any defects that may occur in the product. Related information refers to matters related to any defects that may occur in the product.

[0034] In this embodiment, the image information indicates a product that has the defect indicated by the defect information. Therefore, the image information in this embodiment is associated with the defect information.

[0035] The image-derived information was generated by a generative artificial intelligence 24 that received a request to detect specific items contained in the image information.

[0036] The information acquisition device 32 acquires image information by receiving it from the information storage device 30. In this embodiment, the image information is originally generated in the information acquisition device 32 and transmitted from the information acquisition device 32 to the information storage device 30. The information acquisition device 32 acquires image-derived information from the generative artificial intelligence 24. This image-derived information is information generated from that image information. The specific contents of the image-derived information according to this embodiment will be described later. The information acquisition device 32 transmits this image-derived information to the information storage device 30.

[0037] Furthermore, the information acquisition device 32 in this embodiment is also a device used by inspectors to input some of the defect information. Some of this defect information is detected by the inspectors based on their own senses. In this embodiment, the "inspector" is a person who performs the inspection on the products described above and inputs the results into the information acquisition device 32. The information acquisition device 32 transmits the defect information to the information storage device 30 via the well-known communication network 22.

[0038] The information output device 34 communicates with the information storage device 30 via the communication network 22. The information output device 34 outputs the information to be output. The information to be output according to this embodiment is generated based on at least a portion of a plurality of defective information. The specific configuration of the information output device 34 and the specific content of the information to be output are not directly related to this embodiment. Therefore, a detailed explanation of them will not be repeated here.

[0039] Figure 2 shows the hardware configuration of the information storage device 30 according to this embodiment. The configuration of the information storage device 30 according to this embodiment will be explained based on Figure 2.

[0040] In this embodiment, the information storage device 30 is implemented by a computer. This computer includes a control unit 410, a storage unit 412, a fixed disk 414, a keyboard 416, a mouse 418, a display device 420, a first I / O (Input / Output) 422, and a connector 430.

[0041] The control unit 410 is implemented by a CPU (Central Processing Unit) or the like. The control unit 410 controls each computer device that realizes the information storage device 30 according to the procedure defined in the program by executing a program read from the memory unit 412. The memory unit 412 is implemented by a ROM (Read-only memory) and RAM (Random Access Memory) or the like. The memory unit 412 stores programs and data. The fixed disk 414 records programs, multiple pieces of error information, multiple pieces of image information, and multiple pieces of image-derived information. The keyboard 416 and mouse 418 generate signals in response to input from a natural person attempting to operate the information storage device 30. This inputs information to the computer. The display device 420 outputs information by displaying images. The first I / O 422 communicates with the information acquisition device 32 via the communication network 22. A USB (Universal Serial Bus) memory 440 is connected to the connector 430. Programs and information recorded in the USB memory 440 are read into the control unit 410 via the connector 430. The program is then recorded to the fixed disk 414.

[0042] Figure 3 is a diagram showing the hardware configuration of the information acquisition device 32 according to this embodiment. The configuration of the information acquisition device 32 according to this embodiment will be explained based on Figure 3.

[0043] In this embodiment, the information acquisition device 32 is realized by a computer 42, a well-known camera 44, and a well-known scanner 46. The computer 42 processes the information. The camera 44 generates image information by capturing images. The scanner 46 generates information by scanning images.

[0044] The computer 42 includes a control unit 410, a storage unit 412, an SSD (Solid State Drive) 415, a touch panel 417, a first I / O 422, a second I / O 424, a third I / O 426, and a connector 430.

[0045] SSD415 records program and image information. Touch panel417 generates signals in response to inspector input, which are then input to computer42. Touch panel417 outputs information by displaying images. First I / O422 is connected to communication network22. First I / O422 communicates with information storage device30 and generative artificial intelligence24 via communication network22. Second I / O424 receives image data generated by camera44 and output to computer42. Third I / O426 receives image data generated by scanner46 and output to computer42. USB memory441 is connected to connector430 on computer42. The program and information recorded on USB memory441 are different from those recorded on USB memory440 connected to the computer realizing information acquisition device32. The program and information recorded on USB memory441 are read by control unit410 via connector430.

[0046] [Description of the functions of the information storage device] Figure 4 is a functional block diagram of the information storage device 30 according to this embodiment. Based on Figure 4, the configuration and functions of the information storage device 30 according to this embodiment will be explained. The hardware of the information storage device 30 described above realizes each of the functions shown in Figure 4.

[0047] In this embodiment, the information storage device 30 comprises a storage-side storage unit 90, a storage-side information transmission unit 92, and a storage-side information reception unit 94.

[0048] The storage-side memory unit 90 in this embodiment is realized by a control unit 410, a storage unit 412, and a fixed disk 414 of a computer whose hardware configuration is shown in Figure 2. The storage-side memory unit 90 is for storing a plurality of defective information, a plurality of image information, and a plurality of image-derived information associated with each of those plurality of image information.

[0049] The storage-side information transmission unit 92 in this embodiment is realized by the control unit 410, storage unit 412, and first I / O 422 of the computer whose hardware configuration is shown in Figure 2. The storage-side information transmission unit 92 transmits image information to the information acquisition device 32.

[0050] The storage-side information receiving unit 94 in this embodiment is realized by the control unit 410 and the first I / O 422 of the computer whose hardware configuration is shown in Figure 2. The storage-side information receiving unit 94 receives image-derived information transmitted from the information acquisition device 32.

[0051] [Description of the functions of the information acquisition device] Figure 5 is a functional block diagram of the information acquisition device 32 according to this embodiment. Based on Figure 5, the configuration and functions of the information acquisition device 32 according to this embodiment will be explained. The hardware of the information acquisition device 32 described above realizes each of the functions shown in Figure 5.

[0052] In this embodiment, the information acquisition device 32 includes an image information acquisition unit 50, an image-derived information acquisition unit 52, an acquisition-side information transmission unit 54, and a defective information receiving unit 56.

[0053] In this embodiment, the image information acquisition unit 50 is realized by a control unit 410, a storage unit 412, an SSD 415, a touch panel 417, a first I / O 422, a camera 44, and a second I / O 424. The image information acquisition unit 50 acquires image information.

[0054] In this embodiment, the image-derived information acquisition unit 52 is realized by a control unit 410, a storage unit 412, an SSD 415, a touch panel 417, and a first I / O 422. The image-derived information acquisition unit 52 acquires image-derived information derived from image information.

[0055] In this embodiment, the information acquisition unit 54 is realized by a control unit 410, a storage unit 412, an SSD 415, and a first I / O 422. The information acquisition unit 54 transmits information to the information storage device 30.

[0056] In this embodiment, the fault information receiving unit 56 is realized by a control unit 410, a storage unit 412, an SSD 415, and a touch panel 417. The fault information receiving unit 56 receives information entered by an inspector. The details of the information entered by the inspector are not directly related to the invention according to this embodiment, so a detailed explanation will not be repeated here.

[0057] In this embodiment, the image information acquisition unit 50 includes an image information imaging unit 70, an image information storage unit 72, and an image information receiving unit 74.

[0058] The image information acquisition unit 70 is realized by a control unit 410, a touch panel 417, a camera 44, and a second I / O 424. The image information acquisition unit 70 generates image information through imaging.

[0059] The image information storage unit 72 is implemented by the storage unit 412 and the SSD 415. The image information storage unit 72 stores image information.

[0060] The image information receiving unit 74 is implemented by the control unit 410, the touch panel 417, and the first I / O 422. The image information receiving unit 74 receives image information from the information storage device 30.

[0061] In this embodiment, the image-derived information acquisition unit 52 includes a detection request unit 100 and an image-derived information receiving unit 102.

[0062] The detection request unit 100 is implemented by the control unit 410, the storage unit 412, the SSD 415, the touch panel 417, and the first I / O 422. The detection request unit 100 transmits request information along with image information to the generative artificial intelligence 24. The request information indicates a request to detect predetermined items contained in the image information.

[0063] The image-derived information receiving unit 102 is realized by a control unit 410, a storage unit 412, an SSD 415, a touch panel 417, and a first I / O 422. The image-derived information receiving unit 102 receives image-derived information generated and sent back by the generative artificial intelligence 24 in response to the receipt of request information.

[0064] In this embodiment, the detection request unit 100 includes a request information storage unit 110, a designation reception unit 112, and a sequential request transmission unit 114.

[0065] The request information storage unit 110 is implemented by the storage unit 412 and the SSD 415. The request information storage unit 110 stores request information in advance. In this embodiment, the request information storage unit 110 stores multiple types of request information in advance.

[0066] The designation reception unit 112 is implemented by the control unit 410 and the touch panel 417. The designation reception unit 112 receives designations from inspectors for one of several types of request information.

[0067] The sequential request transmission unit 114 is implemented by the control unit 410, the storage unit 412, the SSD 415, and the first I / O 422. The sequential request transmission unit 114 sequentially transmits request information and image information to the generative artificial intelligence 24. In this embodiment, the request information corresponds to the designation received by the designation reception unit 112.

[0068] In this embodiment, the acquisition-side information transmission unit 54 includes an image information transmission unit 130, an image-derived information transmission unit 132, and a defect information transmission unit 134.

[0069] The image information transmission unit 130 is implemented by the control unit 410, the storage unit 412, the SSD 415, and the first I / O 422. The image information transmission unit 130 transmits the image information generated by the image information acquisition unit 70 and stored in the image information storage unit 72 to the information storage device 30.

[0070] The image-derived information transmission unit 132 is implemented by the control unit 410, the storage unit 412, the SSD 415, and the first I / O 422. The image-derived information transmission unit 132 transmits the image-derived information received by the image-derived information receiving unit 102 to the information storage device 30.

[0071] The fault information transmission unit 134 is implemented by the control unit 410, the storage unit 412, the SSD 415, and the first I / O 422. The fault information transmission unit 134 transmits the information received by the fault information reception unit 56 to the information storage device 30. The details of the information received by the fault information reception unit 56 are not directly related to the invention according to this embodiment, so a detailed explanation will not be repeated here.

[0072] [Program Description] The information acquisition device 32 according to this embodiment is realized by the control unit 410 of the computer 42 described above executing a program read from the storage unit 412. Generally, such programs are distributed in a state where they are recorded on a computer-readable recording medium such as a USB memory 441. Such programs may also be distributed via the internet, which is not shown. Such programs are initially recorded on an SSD 415. The program executed by the control unit 410 is the program recorded on the SSD 415 and stored in the storage unit 412. Therefore, the most essential part of the information acquisition device 32 according to this embodiment is the program recorded on a computer-readable recording medium such as a USB memory 441.

[0073] [Explanation of the flowchart] Figure 6 is a flowchart showing the control procedure for the information acquisition method according to this embodiment. As shown in Figure 6, this information acquisition method causes the information acquisition device 32 described above to perform the following steps. These steps are the image information acquisition step S200, the image-derived information acquisition step S202, and the image-derived information transmission step S204. As a result of executing the program, the computer 42 operating as the information acquisition device 32 will implement the information acquisition method comprising these steps. The specific details of each of these steps will be explained below.

[0074] In the image information acquisition process S200, the image information acquisition unit 50 of the information acquisition device 32 acquires image information. The specific procedure will be described later.

[0075] In the image-derived information acquisition process S202, the image-derived information acquisition unit 52 of the information acquisition device 32 acquires image-derived information derived from the image information. The specific procedure will be described later.

[0076] In the image-derived information transmission process S204, the image-derived information transmission unit 132 of the information acquisition device 32 transmits the image-derived information output from the image-derived information receiving unit 102 to the information storage device 30.

[0077] The image information acquisition step S200 according to this embodiment includes an image information reception determination step S210, an image information reception step S212, and an image information generation step S214.

[0078] In the image information reception determination step S210, the image information receiving unit 74 first receives an instruction from the inspector whether or not to receive image information. More specifically, the touch panel 417, which operates as the image information receiving unit 74, displays information asking whether to receive image information from the information storage device 30 or to perform imaging, based on the control of the control unit 410. When the inspector inputs an instruction in response to that question into the touch panel 417, the control unit 410, which operates as the image information receiving unit 74, determines whether or not to receive image information based on that instruction. If it is determined that image information should be received (YES in S210), the process moves to S212. Otherwise (NO in S210), the process moves to S214.

[0079] In the image information receiving process S212, the image information receiving unit 74 receives image information. More specifically, the image information receiving unit 74 requests the information storage device 30 to return the following information. This information indicates the name of the image information that can be transmitted from the information storage device 30 to the information acquisition device 32. To this end, the image information receiving unit 74 transmits information indicating this request. When the information storage device 30 returns information indicating the name of the image information that can be transmitted to the information acquisition device 32, the touch panel 417, which operates as the image information receiving unit 74, displays the name of the transmittable image information based on the control of the control unit 410. The inspector selects one of the displayed names. In this embodiment, the name is selected by touching the touch panel 417 that constitutes the image information receiving unit 74. The image information receiving unit 74 requests the information storage device 30 to transmit the image information corresponding to the name specified by the inspector. When the information storage device 30 returns the image information and the image information receiving unit 74 receives it, the image information receiving unit 74 stores the image information in the image information storage unit 72. This completes the acquisition of the image information.

[0080] In the image information generation process S214, the image information acquisition unit 70 generates image information by capturing images. The specific procedure itself is the same as that used for imaging in well-known information processing devices, so a detailed explanation will not be repeated here. Once the image information is generated, the image information acquisition unit 70 stores the image information in the image information storage unit 72. This is how the image information is acquired.

[0081] The image-derived information acquisition step S202 according to this embodiment includes a detection request step S220 and an image-derived information reception step S222.

[0082] In the detection request step S220, the detection request unit 100 of the image-derived information acquisition unit 52 requests the generative artificial intelligence 24 via communication to detect predetermined items contained in the image information. The specific procedure will be described later with reference to Figure 7.

[0083] In the image-derived information receiving process S222, the image-derived information receiving unit 102 of the image-derived information acquisition unit 52 receives image-derived information from the generative artificial intelligence 24. This image-derived information is generated and sent back by the generative artificial intelligence 24 in response to a request from the detection request unit 100. In this embodiment, this reception is equivalent to a client and server with RPA (Robotic Process Automation) communicating information via a browser. The image-derived information receiving unit 102 outputs the received image-derived information to the image-derived information transmission unit 132.

[0084] Figure 7 is a flowchart showing the control procedure for the detection request process S220 according to this embodiment. The detection request process S220 according to this embodiment includes a designation reception process S240, a request information reading process S242, an image information reading process S244, and a sequential transmission process S246.

[0085] In the designation acceptance process S240, the designation acceptance unit 112 of the detection request unit 100 accepts a designation from the inspector for one of several types of request information stored in the request information storage unit 110. In this embodiment, if the designated request information is one of the predetermined types, the designation acceptance unit 112 accepts additional information input from the inspector.

[0086] In the request information reading step S242, the designation reception unit 112 reads the request information selected by the inspector from the request information storage unit 110 and outputs it to the sequential request transmission unit 114. In this embodiment, if additional information is received, the designation reception unit 112 adds that additional information to the request information before outputting it to the sequential request transmission unit 114.

[0087] In the image information reading process S244, the on-demand sequential transmission unit 114 reads image information from the image information storage unit 72.

[0088] In the sequential transmission process S246, the sequential transmission unit 114 sequentially transmits the request information output by the designated reception unit 112 and the image information read from the image information storage unit 72 to the generative artificial intelligence 24. In this embodiment, the sequential transmission unit 114 transmits the request information and image information using the API (Application Programming Interface) that the generative artificial intelligence 24 transmits to the information acquisition device 32. This transmission is identical to communication between a client and server with RPA via a browser, except for the following point: the content of the response is generated by the generative artificial intelligence 24.

[0089] [Explanation of operation] In this embodiment, the inspector has already input product defect information into the information acquisition device 32. The defect information receiving unit 56 is used for this input. The inspector has also already instructed the image information capturing unit 70 to capture an image of the product. As a result, the image information capturing unit 70 has already generated image information. The acquisition-side information transmission unit 54 has already transmitted the defect information input by the inspector and the image information generated by the image information capturing unit 70 to the information storage device 30. The information storage device 30 stores the defect information and image information in association. Since defect information and image information are stored for many products, the information storage device 30 has a large amount of defect information and image information stored. The specific details of the operations leading up to this storage are not directly related to the invention of this embodiment. Therefore, a detailed explanation will not be repeated here.

[0090] The image information receiving unit 74 first receives an instruction from the inspector regarding whether or not to receive image information. When the inspector inputs an instruction in response to that question into the touch panel 417, the control unit 410, which operates as the image information receiving unit 74, determines whether or not to receive image information based on that instruction (S210).

[0091] In this case, since it is determined that image information is to be received (YES in S210), the image information receiving unit 74 requests the information storage device 30 to reply with the following information. This information indicates the name of the image information that can be transmitted from the information storage device 30 to the information acquisition device 32. To this end, the image information receiving unit 74 transmits information indicating this request. When the information storage device 30 replies with information indicating the name of the image information that can be transmitted to the information acquisition device 32, the image information receiving unit 74 displays the name of the image information that can be transmitted.

[0092] Figure 8 shows an example of the display of the name of image information that can be transmitted from the information storage device 30 to the information acquisition device 32. In this embodiment, this type of information is displayed on the touch panel 417, which operates as the image information receiving unit 74. In this embodiment, the part of the image information name other than the numbers immediately preceding the extension ".jpg" (base name) is information to identify the product that the image information represents. The inspector selects one of the displayed names. Here, it is assumed that "HQ A-Sha_Seihin-10A_Order-0011_0_3_2.jpg" is selected from the displayed names. The image information receiving unit 74 accepts the selection.

[0093] The image information receiving unit 74 requests the information storage device 30 to transmit image information corresponding to the name specified by the inspector. When the information storage device 30 transmits the image information and the image information receiving unit 74 receives it, the image information receiving unit 74 stores the image information in the image information storage unit 72 (S212).

[0094] Next, the designation reception unit 112 of the detection request unit 100 receives a designation from the inspector for one of several types of request information stored in the request information storage unit 110 (S240). In this embodiment, it is assumed that request information relating to "known defects" and request information relating to "unknown defects" are stored. The inspector designates one of these. Here, it is assumed that request information relating to "known defects" is designated. In addition, it is assumed that request information relating to "known defects" is subject to the acceptance of additional information.

[0095] In this case, the designated reception unit 112 accepts the input of additional information from the inspector. Let's assume that the additional information "the handle is not properly stored and secured" is input. The designated reception unit 112 reads the request information selected by the inspector from the request information storage unit 110. Then, prior to outputting to the sequential request transmission unit 114, the designated reception unit 112 adds the additional information to the request information.

[0096] Figure 9 is a conceptual diagram showing the structure of the request information related to "known defects" after additional information has been added. This request information includes instruction information 500, detected item information 502, additional information 504, and response format information 506.

[0097] Instruction information 500 indicates a request to detect predetermined items contained in the image information. Detection item information 502 indicates the specific content of the predetermined items to be detected. As is clear from the fact that detection item information 502 is labeled "Defect Summary," detection item information 502 in this embodiment includes information regarding whether or not there is a defect. Additional information 504 indicates the specific content of the additional information entered by the inspector. Response format information 506 indicates instructions regarding the format of the response information. The response format information 506 shown in Figure 9 indicates a request to send the response information in three types of formats: text data that can be displayed on the screen (indicated as "on the screen" in Figure 9), a binary file, and a JSON format file with a Japanese filename. Note that in Figure 9, one of the file formats shown as response format information 506 is a "binary file," but a specific binary file format used in well-known word processing software may be shown instead.

[0098] When additional information is added, the designated reception unit 112 outputs the request information with the added information to the sequential request transmission unit 114 (S242).

[0099] The sequential transmission unit 114 reads image information from the image information storage unit 72 (S244). Once the image information is read, the sequential transmission unit 114 sequentially transmits the request information output by the designated reception unit 112 and the image information read from the image information storage unit 72 to the generative artificial intelligence 24 (S246).

[0100] Upon receiving this information, the generative artificial intelligence 24 generates image-derived information. Therefore, this image-derived information is generated and returned by the generative artificial intelligence 24 in response to a request from the detection request unit 100. The specific procedure for its generation is well known; therefore, a detailed explanation will not be repeated here.

[0101] The generative artificial intelligence 24 returns image-derived information. The image-derived information receiving unit 102 receives the image-derived information from the generative artificial intelligence 24. The image-derived information receiving unit 102 outputs the received image-derived information to the image-derived information transmitting unit 132 (S222). In this embodiment, the received image-derived information includes text data, a binary file, and a JSON format data file. In this embodiment, the binary file and the JSON format data file from the image-derived information are output to the image-derived information transmitting unit 132.

[0102] Figure 10 shows an example of text data among the image-derived information. Figure 11 shows an example of a JSON format data file among the image-derived information. In this embodiment, the touch panel 417, which operates as the image-derived information receiving unit 102, displays the image-derived information indicated by the received text data.

[0103] When image-derived information is received, the image-derived information transmission unit 132 transmits the image-derived information output from the image-derived information receiving unit 102 to the information storage device 30 (S204). In this embodiment, the image-derived information transmission unit 132 changes the filenames of the binary file and the JSON format data file during transmission. More specifically, the image-derived information transmission unit 132 changes the base names of these filenames. The base names of these filenames at the time of reception by the image-derived information receiving unit 102 are set by the generative artificial intelligence 24. The image-derived information transmission unit 132 changes the base names of these files based on the following rule. The rule is to add a predetermined code to the base name of the image information name received by the image information receiving unit 74 to create the new base name. As is clear from the above explanation, the name of the image information transmitted by the information storage device 30 was "HQ A-Sha_Seihin-10A_Order-0011_0_3_2.jpg". The base filename for binary files and JSON data files is "HQ A-Sha_Seihin-10A_Order-0011_0_3_2" with "_k_1" appended to the end.

[0104] The information storage device 30 stores the image-derived information transmitted by the image-derived information transmission unit 132. This image-derived information is associated with the defective information and image information stored in the information storage device 30 that pertain to the same product. As mentioned above, this association is made possible by the presence of the part "HQ A-Sha_Seihin-10A_Order-0011_0_3_2" in the base name of the file name.

[0105] Furthermore, the information storage device 30 in this embodiment transmits either the defective information, image information, or image-derived information stored within itself to the information output device 34. The specific operations for this purpose, and the operation of the information output device 34 when such transmission occurs, are not directly related to the invention of this embodiment. Therefore, a detailed explanation of these operations will not be repeated here.

[0106] [Explanation of effects] According to the information storage system 20 of this embodiment, the generative artificial intelligence 24, upon receiving a request to detect predetermined items contained in image information, generates and sends back image-derived information, which is then transmitted to the information storage device 30. As a result, the information storage device 30, which receives this image-derived information, can store the predetermined items detected without relying on the attention of a natural human. This reduces the risk of insufficient information.

[0107] Furthermore, in the information storage system 20 according to this embodiment, pre-stored request information and image information are sequentially transmitted to the generative artificial intelligence 24. This speeds up the acquisition of image-derived information.

[0108] Furthermore, according to the information storage system 20 of this embodiment, the request information and image information corresponding to the designation received by the designation reception unit 112 are transmitted sequentially, making it possible to acquire image-derived information according to the circumstances at the time of designation.

[0109] Furthermore, according to the information storage system 20 of this embodiment, the generative artificial intelligence 24's response to each of multiple predetermined items is shown by image-derived information, thus reducing the risk of insufficient information. In addition, if the image-derived information shows at least one of the corrective measures for the problem and the assumed cause of the problem, the usability of the image-derived information is improved.

[0110] Furthermore, according to the information storage system 20 of this embodiment, image-derived information resulting from the image information transmitted by the information storage device 30 is returned to the information storage device 30. As a result, both image information and image-derived information can be stored. Consequently, the risk of information deficiency is reduced.

[0111] [Explanation of variations] The embodiments disclosed herein are illustrative in all respects. The scope of the present invention is not limited based on the embodiments described above. Of course, various design modifications can be made without departing from the spirit of the invention.

[0112] For example, the sequential transmission unit 114 may further transmit the comparison target information it has stored to the generative artificial intelligence 24. The comparison target information is used for comparison with image information. If the presence or absence of defects is detected from image information relating to a product, the image information relating to a product without defects becomes an example of comparison target information. In this case, the request to the generative artificial intelligence 24 may be to detect predetermined items based on the comparison result between the image information and the comparison target information. The image-derived information generated and returned by the generative artificial intelligence 24 in response to the request to detect predetermined items based on the comparison result between the image information and the comparison target information reflects that comparison result. Because the comparison result is reflected, the possibility of the content of the image-derived information being irrelevant is reduced compared to when predetermined items are detected without comparison with the comparison target information.

[0113] [Explanation of Symbols]

[0114] 20… Information storage system 22…Communication Networks 24…Generative artificial intelligence 30… Information storage device 32...Information acquisition device 34…Information output device 42… Computer 44... Camera 46... Scanner 50...Image information acquisition unit 52... Image-derived information acquisition unit 54... Information transmission unit on the acquiring side 56...Defective Information Reception Department 70…Image Information Acquisition Unit 72…Image information storage unit 74…Image information receiving unit 90...Storage side memory unit 92...Storage-side information transmission unit 94...Storage-side information receiving unit 100...Detection request unit 102... Image-derived information receiving unit 110…Request information storage unit 112... Designated Reception Department 114... Sequential transmission unit upon request 130...Image information transmission unit 132...Image-derived information transmission unit 134... Malfunction Information Transmission Unit 410... Control Unit 412...Storage section 414…Fixed disk 415…SSD 416... Keyboard 417... Touch panel 418…Mouse 420…Display device 422…1st I / O 424…2nd I / O 426...3rd I / O 430… Connector 440,441…USB memory 500…Instruction information 502…Detection Information 504... Additional Information 506…Response format information

Claims

1. An image information acquisition unit that acquires image information, An image-derived information acquisition unit that acquires image-derived information derived from the aforementioned image information, An information acquisition device comprising an image-derived information transmission unit that transmits the image-derived information to a predetermined destination, The image information acquisition unit acquires the image information by receiving the image information from the information storage device where the image information is stored. The aforementioned image-derived information acquisition unit, A detection request unit communicates with a generative artificial intelligence to request that it detect predetermined items contained in the aforementioned image information, The system includes an image-derived information receiving unit that receives the image-derived information generated and returned by the generative artificial intelligence in response to the request, The predetermined destination is the information storage device. The aforementioned detection request unit, A request information storage unit that stores request information indicating a request to detect the aforementioned predetermined items in advance, An information acquisition device characterized by having a sequential transmission unit that sequentially transmits the request information and the image information to the generative artificial intelligence.

2. The request information storage unit stores multiple types of the request information in advance. The detection request unit further includes a designation reception unit that receives a designation for any of the multiple types of request information. The information acquisition device according to claim 1, characterized in that the sequential request transmission unit sequentially transmits the request information and image information corresponding to the designation received by the designation reception unit.

3. The information acquisition device according to claim 1, characterized in that the request information includes a request to detect multiple types of predetermined items.

4. The aforementioned multiple types of prescribed items are Matters concerning whether or not there are any inconveniences, The information acquisition device according to claim 3, characterized in that it includes matters relating to at least one of the proposed corrective measures for the aforementioned inconvenience and the assumed causes of the aforementioned inconvenience.

5. The on-demand sequential transmission unit further transmits the comparison target information used for comparison with the image information to the generative artificial intelligence. The information acquisition device according to claim 1, characterized in that the request is to detect the predetermined items based on the comparison result between the image information and the comparison target information.

6. Information storage device and Equipped with an information acquisition device, The aforementioned information storage device A storage unit for storing image information, It has a storage-side information transmission unit that transmits the aforementioned image information to the information acquisition device, The aforementioned information acquisition device An image information acquisition unit that acquires the image information by receiving it from the information storage device, An image-derived information acquisition unit that acquires image-derived information derived from the aforementioned image information, An information storage system having an image-derived information transmission unit that transmits the image-derived information to the information storage device, The image information acquisition unit acquires the image information by receiving the image information from the information storage device. The aforementioned image-derived information acquisition unit, A detection request unit communicates with a generative artificial intelligence to request that it detect predetermined items contained in the aforementioned image information, The system includes an image-derived information receiving unit that receives the image-derived information generated and returned by the generative artificial intelligence in response to the request, The aforementioned detection request unit, A request information storage unit that stores request information indicating a request to detect the aforementioned predetermined items in advance, It has a sequential transmission unit that sequentially transmits the request information and the image information to the generative artificial intelligence. The information storage device further includes an information storage unit that receives the image-derived information transmitted from the information acquisition device, An information storage system characterized in that the storage-side storage unit stores image-derived information in addition to the image information.

7. Image information acquisition process, An image-derived information acquisition step for acquiring image-derived information derived from the aforementioned image information, An information acquisition method comprising an image-derived information transmission step of transmitting the image-derived information to a predetermined destination, In the image information acquisition step, a computer other than the computer acquires the image information from a computer that stores the image information. The aforementioned image-derived information acquisition process, A detection request step in which the other computer that acquired the image information requests the generative artificial intelligence to detect predetermined items contained in the image information via communication, The system includes an image-derived information receiving step in which the image-derived information generated and returned by the generative artificial intelligence in response to the request is received by another computer that acquired the image information from the generative artificial intelligence, The detection request step includes a sequential transmission step in which request information, which is pre-stored in another computer indicating a request to detect the predetermined items, and the image information are sequentially transmitted to the generative artificial intelligence. An information acquisition method characterized in that the predetermined transmission destination is a computer that stores the image information.

8. Image information acquisition process, An image-derived information acquisition step for acquiring image-derived information derived from the aforementioned image information, An information acquisition program for a computer to implement an information acquisition method comprising an image-derived information transmission step of transmitting the image-derived information to a predetermined destination, In the image information acquisition step, the computer acquires the image information by receiving the image information from an information storage device where the image information is stored. The aforementioned image-derived information acquisition process, A detection request step in which the computer that has acquired the image information requests a generative artificial intelligence via communication to detect predetermined items contained in the image information, The system includes an image-derived information receiving step in which the computer that acquired the image information from the generative artificial intelligence receives the image-derived information generated and returned by the generative artificial intelligence in response to the request. The detection request step includes a sequential transmission step in which the computer, which has a request to detect the predetermined items, sequentially transmits the request information and the image information stored in the computer to the generative artificial intelligence. An information acquisition program characterized in that the predetermined transmission destination is the information storage device.

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