Information processing device, information processing system, and information processing method

Abstract

To provide an information processing apparatus configured to properly identify wearing trend of clothes based on characteristics of a person, an information processing system, and an information processing method.SOLUTION: In an information processing system 1, an information processing apparatus 5 includes: a clothing information acquisition unit 520 which acquires clothing information read by non-contact communication from an information storage medium attached to clothes and storing clothing information on the clothes; a person information acquisition unit 521A which acquires person information on a person from image data obtained by imaging the person wearing the clothes; a registration unit 522A which registers clothing information and person information in association with each other on a database 60A of an information management apparatus 6 every time the clothing information acquisition unit 520 and the person information acquisition unit 521A acquire the clothing information and the person information; and a processing unit 523A which determines information based on relevance between the clothing information and the person information by referring to the database 60.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing system, and an information processing method. [Background technology]

[0002] In recent years, systems have been developed that can write and read various information onto IC tags attached to each piece of clothing. These systems are being used for inventory management in stores and online shops, understanding sales trends, and managing the storage space in individuals' closets.

[0003] For example, Patent Document 1 discloses a clothing management system in which a member terminal used by a member, an IC tag reader that reads information on IC tags attached to clothing, and a clothing management server that manages closet information of the member are connected via a network. The clothing management system has a function of managing the member's wearing history by associating a member ID that identifies the member with information on the IC tag that is read when the member wears clothing. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2014-102739 A Summary of the Invention [Problem to be solved by the invention]

[0005] The clothing accessories management system disclosed in Patent Document 1 is a system that provides a function for managing the wearing history of members of the clothing accessories management system, so the people from whom the wearing history is obtained are limited. Therefore, the wearing history accumulated in the clothing accessories management system alone is prone to insufficient or biased information when grasping trends in wearing clothing.

[0006] In addition, the member ID in the clothing management system disclosed in Patent Document 1 is used as an identifier to identify an individual, and does not associate various information specific to each person with the clothing history. Therefore, it is not possible to realize a detailed analysis of what characteristics a person has and what clothes they are wearing.

[0007] The present invention has been made in consideration of the above-mentioned problems, and aims to provide an information processing device, an information processing system, and an information processing method that enable accurate understanding of clothing wearing trends taking into account a person's characteristics. [Means for solving the problem]

[0008] In order to achieve the above object, an image processing device according to an embodiment of the present invention comprises: a clothing information acquisition unit that acquires the clothing information read from an information storage medium attached to the clothing, the information storage medium having a memory circuit for storing clothing information related to the clothing and a communication circuit for performing non-contact communication, by the non-contact communication; a person information acquisition unit that acquires person information about a person wearing the clothing from image data of the person; a registration unit that associates the clothing information and the personal information with each other and registers the clothing information and the personal information in a database each time the clothing information acquisition unit and the personal information acquisition unit acquire the clothing information and the personal information; A processing unit references the database and obtains information based on the relevance of the clothing information and the person information. Effect of the Invention

[0009] According to the information processing device of the present invention, the registration unit associates the clothing information and the personal information with each other and registers them in a database each time the clothing information acquisition unit and the personal information acquisition unit acquire the clothing information and the personal information, and the processing unit refers to the database to obtain information based on the association between the clothing information and the personal information. This makes it possible to accurately grasp trends in clothing wearing that take into account the characteristics of the person.

[0010] Other objects, configurations and effects will become apparent from the detailed description of the invention described below. [Brief description of the drawings]

[0011] [Figure 1] 1 is an overall configuration diagram showing an example of an information processing system 1 according to a first embodiment. [Diagram 2] 1 is an explanatory diagram showing an example of a flow of information in an information processing system 1 according to a first embodiment. [Diagram 3] 1 is a block diagram showing an example of an information processing device 5 according to a first embodiment. [Figure 4] FIG. 2 is a data configuration diagram showing an example of a database 60A according to the first embodiment. [Diagram 5] 1 is a hardware configuration diagram showing an example of a computer 900 constituting each device (an installation device 4, an information processing device 5, an information management device 6, and a terminal device 7) of an information processing system 1. FIG. [Figure 6] 5 is a flowchart showing an example of an acquisition and registration operation of the information processing device 5 according to the first embodiment. [Figure 7] 5 is a flowchart showing an example of an extraction and statistics operation of the information processing device 5 according to the first embodiment. [Figure 8] FIG. 11 is an explanatory diagram showing an example of the flow of information in an information processing system 1 according to a second embodiment. [Figure 9] FIG. 11 is a block diagram showing an example of an information processing device 5 according to a second embodiment. [Figure 10] FIG. 11 is a data configuration diagram showing an example of a database 60B according to the second embodiment. [Figure 11] FIG. 11 is an explanatory diagram showing an example of the flow of information in an information processing system 1 according to a third embodiment. [Figure 12] FIG. 11 is a block diagram showing an example of an information processing device 5 according to a third embodiment. [Figure 13] FIG. 13 is a data configuration diagram showing an example of a database 60C according to the third embodiment. [Figure 14]FIG. 13 is an explanatory diagram showing an example of the flow of information in an information processing system 1 according to a fourth embodiment. [Figure 15] FIG. 11 is a block diagram showing an example of an information processing device 5 according to a fourth embodiment. [Figure 16] FIG. 13 is a data structure diagram showing an example of a database 60D according to the fourth embodiment. [Figure 17] FIG. 13 is an explanatory diagram showing an example of the flow of information in an information processing system 1 according to a fifth embodiment. [Figure 18] FIG. 11 is a block diagram showing an example of an information processing device 5 according to a fifth embodiment. [Figure 19] FIG. 13 is a schematic diagram showing an example of an installation state of an installation device 4 according to a fifth embodiment. [Figure 20] FIG. 13 is a data structure diagram showing an example of a database 60E according to the fifth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, each embodiment for carrying out the present invention will be described with reference to the drawings. Note that, in the following, the scope necessary for the explanation to achieve the object of the present invention is shown in a schematic manner, and the scope necessary for the explanation of the relevant part of the present invention will be mainly explained, and the parts that are omitted from the explanation will be explained based on the publicly known technology. This shall be in accordance with the following.

[0013] (First embodiment) Fig. 1 is an overall configuration diagram showing an example of an information processing system 1 according to the first embodiment. Fig. 2 is an explanatory diagram showing an example of an information flow in the information processing system 1 according to the first embodiment.

[0014] The information processing system 1 is a system that performs various types of information processing to obtain information based on the association between a garment 2 and a person U wearing the garment 2. The information processing system 1 includes, as its components, a plurality of installed devices 4, an information processing device 5, an information management device 6, and a terminal device 7. The devices 4 to 7 of the information processing system 1 are communicatively connected via a network 8. The network 8 may employ any communication method, and may be wired or wireless.

[0015] Each of the multiple pieces of clothing 2 worn by the person U is attached with an information storage medium 3. The clothing 2 is any clothing that can be worn by the person U, and includes not only clothes such as knitwear, shirts, trousers, and skirts, but also accessories such as scarves, hats, and gloves.

[0016] The information storage medium 3 is, for example, an electronic tag (IC tag) called RFID. As shown in Fig. 2, the information storage medium 3 has a memory circuit 30 that stores clothing information 10 related to the clothing 2, and a communication circuit 31 that performs contactless communication. The information storage medium 3 is attached to the clothing 2 by any attachment method that matches the design and material of the clothing 2. The information storage medium 3 is attached at the manufacturing stage of the clothing 2, and may be, for example, sewn or glued to a display label of the clothing 2, or may be knitted into the knitting yarn of the clothing 2.

[0017] 1, the installation device 4 is installed at the entrance of a store, for example, and acquires information about a person U passing through the installation location. The installation location of the installation device 4 is not limited to the entrance of various stores, and may be installed outdoors, such as on a road, in a park, or in a theme park, or may be installed indoors, such as in a station, airport, department store, shopping mall, or office building.

[0018] The installation device 4 includes a reading device 40, an imaging device 41, and a communication device 42. The reading device 40 is, for example, an electronic tag reader, and is a device that reads clothing information 10 from the information storage medium 3 by non-contact communication. The imaging device 41 is, for example, a camera having a CMOS sensor or a CCD sensor, and is a device that captures an image of the person U. The communication device 42 transmits the clothing information 10 read by the reading device 40 and image data 11 of the person U captured by the imaging device 41 to the information processing device 5.

[0019] The reading range (communication range) of the information storage medium 3 by the reading device 40 and the imaging range of the image data 11 by the imaging device 41 are set to overlap. In this embodiment, the imaging range is set to image only one person U, for example, so that the person U imaged as the image data 11 and the clothing information 10 read from the information storage medium 3 attached to the clothing 2 worn by the person U can be specified. In addition, if the reading device 40 can specify the location of the information storage medium 3 within a predetermined error range, for example, from the reflection intensity of the radio wave, the imaging range may be set to image multiple people U. In this case, the imaging positions of the multiple people U and the locations of the multiple information storage media 3 are collated to specify which clothing 2 to which each person U imaged as the image data 11 is attached.

[0020] The information processing device 5 is, for example, a general-purpose or dedicated computer that functions as a server or a cloud. The information processing device 5 is composed of a plurality of installed devices 4, and other items of clothing information 10 and image data 11 transmitted by the installed devices 4. The information processing device 5 also performs a predetermined image recognition process on the image data 11 to obtain person information 12A related to a person U from the image data 11. The information processing device 5 will be described in detail later.

[0021] The information management device 6 is configured, for example, by a general-purpose or dedicated computer (see FIG. 5 described later) that functions as a server or a cloud, similar to the information processing device 5. The information management device 6 includes a database 60A in which the clothing information 10 and the person information 12A can be registered in association with each other. The details of the database 60A will be described later.

[0022] The terminal device 7 is composed of a general-purpose or dedicated computer (see FIG. 5 described later) used by an administrator or a user of the information processing system 1. The terminal device 7 accepts various operation inputs via an input screen, and displays various information via a display screen such as an app or a browser.

[0023] As shown in FIG. 2, the clothing information 10 includes product-specific information, manufacturing information, and design information. The product-specific information is information assigned by a manufacturer to identify the clothing 2, and includes, for example, a product code and a serial code. The manufacturing information is information related to the manufacturing of the clothing 2, and includes, for example, the manufacturer and the manufacturing location. The design information is information related to the design of the clothing 2, and includes, for example, the product category (knit, shirt, trousers, skirt, etc.), color, size (which may be S, M, L, etc., or may be in mm), material, etc. Note that the clothing information 10 is not limited to the above examples as long as it is information unique to each clothing 2.

[0024] The clothing information 10 is written to the information storage medium 3 during the manufacturing stage of the clothing 2, for example, by a writing device such as an electronic tag reader / writer installed in a manufacturing factory. At that time, the clothing information 10 written to the information storage medium 3 may be a part or all of the product-specific information, manufacturing information, and design information. If the clothing information 10 written to the information storage medium 3 is only the product-specific information, each device 4 to 7 of the information processing system 1 may acquire the manufacturing information and design information associated with the product-specific information by appropriately accessing an external database device (managed by an apparel manufacturer, etc.) that manages and stores the manufacturing information and design information related to various types of clothing 2 by associating the product-specific information with the manufacturing information and design information. If other information other than the above-mentioned manufacturing information and design information is stored in the external database device, each device 4 to 7 of the information processing system 1 may acquire the other information by appropriately accessing the external database device.

[0025] As shown in FIG. 2, the personal information 12A includes personal attribute information, physical information, and wearable item information. The personal attribute information is information about the personal attributes of the person U, including, for example, age and gender. The physical information is information about the physical characteristics of the person U, including, for example, height and body type. The wearable item information is information about other wearable items worn by the person U in addition to the clothes 2, including, for example, glasses and a mask. Note that the personal information 12A is not limited to the above examples as long as it is information unique to each person U.

[0026] In addition, if worn clothing information (such as product category, color, size, and material as the design information of the clothing information 10) regarding the clothing 2 worn by the person U can be acquired by image recognition processing of the image data 11, the worn goods information of the person information 12A may include the above-mentioned worn clothing information. In this case, if the imaging range of the image data 11 by the imaging device 41 is set so that a plurality of persons U are imaged, the worn clothing information acquired by image recognition processing of the image data 11 may be collated with the design information included in the clothing information 10 read from the information storage medium 3 to specify which information storage medium 3 is attached to which clothing 2 each person U is wearing.

[0027] FIG. 3 is a block diagram showing an example of the information processing device 5 according to the first embodiment.

[0028] The information processing device 5 includes an input unit 50 including a keyboard or the like, a storage unit 51 that stores an information processing program 510A, a control unit 52 including a processor or the like, a communication unit 53 that is a communication interface with the network 8, and an output unit 54 including a display or the like. Note that the input unit 50 and the output unit 54 may be omitted, and in that case, the terminal device 7 may function as the input unit 50 and the output unit 54.

[0029] The control unit 52 functions as a clothing information acquisition unit 520, a person information acquisition unit 521A, a registration unit 522A, a processing unit 523A, and a processing result output unit 524 by executing the information processing program 510A.

[0030] The clothing information acquisition unit 520 acquires clothing information 10 read by non-contact communication from the information storage medium 3. When multiple information storage media 3 are simultaneously present within the reading range of the reading device 40, the clothing information acquisition unit 520 acquires multiple pieces of clothing information 10 read from the multiple information storage media 3, respectively.

[0031] The personal information acquisition unit 521A performs a predetermined image recognition process on image data 11 in which a person U wearing the garment 2 is captured, thereby acquiring personal information 12A related to the person U from the image data 11. When a plurality of people U are simultaneously present within the imaging range of the imaging device 41 and thus a plurality of people U are captured in the image data 11, the personal information acquisition unit 521A acquires personal information 12A related to each of the plurality of people U from the image data 11.

[0032] The image recognition process by the person information acquisition unit 521A may use, for example, a trained model that has been subjected to machine learning, or may use a person recognition algorithm such as pattern recognition. The trained model is, for example, a plurality of pieces of training image data 11 in which the characteristics of person U corresponding to the person information 12A are attached as teacher labels to image data 11 in which a person U having various characteristics is captured, and a correlation between the image data 11 and the teacher labels is trained by machine learning based on the training image data 11.

[0033] The registration unit 522A associates the clothing information 10 and the personal information 12A with each other and registers them in the database 60A every time the clothing information acquisition unit 520 and the personal information acquisition unit 521A acquire the clothing information 10 and the personal information 12A. At this time, the registration unit 522A associates the clothing information 10 and the personal information 12A with each other and registers them in the database 60A together with the acquisition date and time when the clothing information 10 and the personal information 12A were acquired. Therefore, as multiple persons U pass in front of the installation device 4 one after another, the clothing information 10 and the personal information 12A acquired from each person U are registered and accumulated in the database 60A one after another. The acquisition date and time may be, for example, the read date and time when the clothing information 10 is read, or the image capture date and time when the image data 11 is captured.

[0034] FIG. 4 is a data configuration diagram showing an example of the database 60A according to the first embodiment.

[0035] The database 60A includes a person information table 600A having fields of a person ID, acquisition date and time, and person information 12A, and a clothing information table 601A having fields of a person ID and clothing information 10. The person information table 600A and the clothing information table 601A are associated with each other by the person ID. The person ID is an identification code automatically assigned by the registration unit 522A to identify the person U.

[0036] In the person information table 600A, the person information 12A about one person U obtained from the image data 11 is registered as data for one record. In the database, clothing information 10 read from an information storage medium 3 attached to one piece of clothing 2 is registered as one record of data.

[0037] In database 60A shown in FIG. 4, for example, information that person U identified by person ID "U0001" was wearing an article of clothing (jacket) identified by product code "ABC111" and an article of clothing (slacks) identified by product code "ABC222" is registered by associating the information with the person ID, as shown by the arrow in FIG. 4.

[0038] The processing unit 523A refers to the database 60A and obtains information based on the relevance of the clothing information 10 and the person information 12A. For example, the processing unit 523A accepts a search key (search condition) for the database 60A via an input screen of the terminal device 7, and extracts multiple sets of clothing information 10 and person information 12A that match the search key from the database 60A. Then, the processing unit 523A statistically processes the extracted multiple sets of clothing information 10 and person information 12A to obtain information based on the relevance of the clothing information 10 and person information 12A. Here, one set of clothing information 10 and person information 12A indicates the clothing information 10 and person information 12A identified by one person ID.

[0039] Specifically, the processing unit 523A accepts a predetermined period (e.g., hour, day, week, month, year, etc.) as a search key for the database 60A, extracts from the database 60A multiple sets of clothing information 10 and personal information 12A associated with acquisition dates and times included in the period, and calculates statistical indicators based on the extracted multiple sets of clothing information 10 and personal information 12A.

[0040] The search key of the database 60A may not only be a predetermined period as described above, but may also be a combination of information contained in the clothing information 10 and the personal information 12A as a search key. For example, the search key may be the manufacturer, product category, color, size, material, etc. of the clothing information 10, or the search key may be the age, sex, height, figure, etc. of the personal information 12A. In addition, multiple search keys may be arbitrarily combined.

[0041] The statistical index may be a statistical amount based on the correlation between the clothing information 10 and the personal information 12A, such as an average, a median, a mode, a standard deviation, a variance, a ratio, etc. For example, when the processing unit 523A calculates a ratio as a statistical index based on the relationship between the color included in the clothing information 10 and the age included in the personal information 12A, the ratio of age groups may be calculated by color, or the ratio of colors may be calculated by age. Furthermore, the processing unit 523A may calculate, for example, a daily or monthly statistical index by dividing a predetermined period into multiple periods.

[0042] The processing result output unit 524 generates display data for displaying the information obtained by the processing unit 523A on, for example, the display screen of the terminal device 7, and transmits (outputs) the generated display data to the terminal device 7. The information (statistical index) obtained by the processing unit 523A is displayed in, for example, a graph format such as a bar graph, a pie chart, or a scatter plot, or in a table format.

[0043] FIG. 5 is a hardware configuration diagram showing an example of a computer 900 constituting each device (the installation device 4, the information processing device 5, the information management device 6, and the terminal device 7) of the information processing system 1. As shown in FIG.

[0044] Each of the installation device 4, the information processing device 5, the information management device 6, and the terminal device 7 is configured by a general-purpose or dedicated computer 900. As shown in Fig. 5, the computer 900 has, as its main components, a bus 910, a processor 912, a memory 914, an input device 916, an output device 917, a display device 918, a storage device 920, a communication I / F (interface) unit 922, an external device I / F unit 924, an I / O (input / output) device I / F unit 926, and a media input / output unit 928. The computer 900 may be omitted as appropriate depending on the application in which the computer 900 is used.

[0045] The processor 912 is composed of one or more arithmetic processing devices (such as a central processing unit (CPU), a micro-processing unit (MPU), a digital signal processor (DSP), or a graphics processing unit (GPU)) and operates as a control unit that controls the entire computer 900. The memory 914 stores various data and programs 930, and is composed of, for example, a volatile memory (such as a DRAM or SRAM) that functions as a main memory, and a non-volatile memory (such as a ROM or flash memory).

[0046] The input device 916 is composed of, for example, a keyboard, a mouse, a numeric keypad, an electronic pen, etc., and functions as an input unit. The output device 917 is composed of, for example, a sound (audio) output device, a vibration device, etc., and functions as an output unit. The display device 918 is composed of, for example, a liquid crystal display, an organic EL display, electronic paper, a projector, etc., and functions as an output unit. The input device 916 and the display device 918 may be integrally configured, such as a touch panel display. The storage device 920 is composed of, for example, a hard disk drive (HDD), a solid state drive (SSD), etc., and functions as a storage unit. The storage device 920 stores various data necessary for the execution of the operating system and the program 930.

[0047] The communication I / F unit 922 is connected to a network 940 (which may be the same as the network 8 in FIG. 1) such as the Internet or an intranet by wire or wirelessly, and functions as a communication unit that transmits and receives data to and from other computers according to a predetermined communication standard. The external device I / F unit 924 is connected to an external device 950 such as a camera, a printer, a scanner, a reader / writer by wire or wirelessly, and functions as a communication unit that transmits and receives data to and from the external device 950 according to a predetermined communication standard. The I / O device I / F unit 926 is connected to an I / O device 960 such as various sensors and actuators, and functions as a communication unit that transmits and receives various signals and data, such as detection signals from sensors and control signals to actuators, between the I / O device 960. The media input / output unit 928 is composed of a drive device such as a DVD (Digital Versatile Disc) drive or a CD (Compact Disc) drive, and reads and writes data from and to a medium (non-temporary storage medium) 970 such as a DVD or a CD.

[0048] In the computer 900 having the above configuration, the processor 912 calls up the program 930 stored in the storage device 920 into the memory 914, executes the program, and controls each unit of the computer 900 via the bus 910. The program 930 may be stored in the memory 914 instead of the storage device 920. The program 930 may be recorded in the medium 970 in an installable file format or an executable file format, and provided to the computer 900 via the media input / output unit 928. The program 930 may be provided to the computer 900 by downloading it via the network 940 via the communication I / F unit 922. In addition, the computer 900 may realize various functions realized by the processor 912 executing the program 930, for example, with hardware such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC).

[0049] The computer 900 may be, for example, a desktop computer or a portable computer, and may be any type of electronic device. The computer 900 may be a client computer, a server computer, or a cloud computer.

[0050] (Operation of information processing device 5) Next, the operation of the information processing system 1 having the above configuration will be described.

[0051] Fig. 6 is a flowchart showing an example of the acquisition and registration operation of the information processing device 5 according to the first embodiment. In Fig. 6, an information processing method when the information processing device 5 acquires clothing information 10 and person information 12A from a plurality of installation devices 4 and registers the information in the database 60A of the information management device 6 will be described.

[0052] First, in step S100, when a person U passes in front of the installation device 4, the reading device 40 of the installation device 4 reads clothing information 10 from the information storage medium 3 attached to the clothing 2 worn by the person U. At this time, if the person U is wearing multiple pieces of clothing 2 each with an information storage medium 3 attached, the reading device 40 reads the multiple pieces of clothing information 10 from the multiple information storage media 3, respectively. Then, in step S101, in parallel with step S100, the imaging device 41 captures an image of the person U and generates image data 11.

[0053] Next, in step S102, the communication device 42 transmits the clothing information 10 and the image data 11 to the information processing device 5. The communication device 42 may transmit the clothing information 10 and the image data 11 at any time, or may transmit the clothing information 10 and person information 12A acquired up to that point together to the information processing device 5 when a predetermined transmission timing (which may be when a predetermined period has elapsed, or when a predetermined number of people U have passed by) is met.

[0054] Next, in step S110, the clothing information acquisition unit 520 of the information processing device 5 receives the clothing information 10 transmitted by the communication device 42, thereby acquiring the clothing information 10 read from the information storage medium 3.

[0055] Next, in step S111, the personal information acquisition unit 521A receives the image data 11 transmitted by the communication device 42, and acquires the personal information 12A from the image data 11 by performing a predetermined image recognition process on the image data 11.

[0056] Next, in step S112, the registration unit 522A transmits to the information management device 6 the clothing information 10 and the person information 12A acquired in steps S110 and S111, respectively, together with acquisition date and time information indicating the acquisition date and time when the clothing information 10 and the person information 12A were acquired.

[0057] Next, in step S120, the information management device 6 associates the acquisition date and time, the clothing information 10, and the person information 12A and registers them in the database 60A. That is, a record having the acquisition date and time, the clothing information 10, and the person information 12A as information in each field is newly added to the person information table 600A and the clothing information table 601A of the database 60A. At this time, if the person U is wearing multiple pieces of clothing 2 each with an information storage medium 3 attached, one record of person information 12A assigned with a new person ID is added to the person information table 600A of the database 60A, and multiple records of clothing information 10 read from the multiple information storage media 3 are added to the clothing information table 601A in a state associated with the new person ID.

[0058] In this manner, each time a plurality of persons U wearing various clothes 2 pass in front of the installation device 4, the clothing information 10 and person information 12A acquired from each person U are registered in the database 60A, thereby accumulating the clothing information 10 and person information 12A. Note that the above step S110 corresponds to the clothing information acquisition step of the information processing method, the above step S111 corresponds to the person information acquisition step of the information processing method, and the above step S112 corresponds to the registration step of the information processing method.

[0059] Fig. 7 is a flowchart showing an example of the extraction and statistical operation of the information processing device 5 according to the first embodiment. In Fig. 7, an information processing method will be described when the information processing device 5 receives a search key for the database 60A from the terminal device 7, refers to the database 60A based on the search key, and obtains information based on the relevance between the clothing information 10 and the person information 12A.

[0060] First, in step S200, an administrator or a user of the information processing system 1 inputs a search key for the database 60A on the input screen of the terminal device 7. In step S201, the terminal device 7 transmits the search key to the information processing device 5.

[0061] Next, in step S210, the processing unit 523A of the information processing device 5 transmits the search key to the information management device 6, and in step S211, the information management device 6 performs an extraction process on the database 60A to extract multiple sets of clothing information 10 and person information 12A that match the search key from the database 60A. Then, in step S212, the processing unit 523A statistically processes the extracted multiple sets of clothing information 10 and person information 12A to calculate statistical indices.

[0062] Next, in step S213, the processing result output unit 524 generates display data for displaying the statistical index calculated in step S212 on the display screen of the terminal device 7, and transmits the generated display data to the terminal device 7.

[0063] Next, in step S220, the terminal device 7 receives the display data transmitted by the information processing device 5 as a response to the search key, and displays a display screen based on the display data.

[0064] In this manner, information based on the relevance between the clothing information 10 and the person information 12A is obtained from the clothing information 10 and the person information 12A stored in the database 60A, and the information is displayed on the terminal device 7. Note that the above steps S210 to S211 correspond to the processing steps of the information processing method.

[0065] Therefore, according to the information processing device 5 of this embodiment, each time the clothing information acquisition unit 520 and the personal information acquisition unit 521A acquire clothing information 10 and personal information 12A, the registration unit 522A associates the clothing information 10 and the personal information 12A and registers them in the database 60A, and the processing unit 523A refers to the database 60A to obtain information based on the association between the clothing information 10 and the personal information 12A. This makes it possible to accurately grasp the trend of wearing clothing 2 taking into account the characteristics of person U.

[0066] The registration unit 522A also associates the clothing information 10 and the personal information 12A with the acquisition date and time and registers them in the database 60A, and the processing unit 523A accepts a predetermined period as a search key for the database 60A, extracts from the database 60A multiple sets of clothing information 10 and personal information 12A associated with the acquisition date and time included in the period, and calculates statistical indices based on the extracted multiple sets of clothing information 10 and personal information 12A. This makes it possible to accurately grasp the trend of wearing clothing 2 over a period of time.

[0067] Second embodiment Fig. 8 is an explanatory diagram showing an example of the flow of information in the information processing system 1 according to the second embodiment. Fig. 9 is a block diagram showing an example of an information processing device 5 according to the second embodiment.

[0068] In the first embodiment, the image data 11 includes a person U and a person wearing In the above description, a case has been described in which the information storage medium 3 attached to the clothing 2 is associated with the image data 11. In contrast, in the second embodiment, the image data 11 contains an image of one or more persons U, i.e., a group of persons G consisting of an unspecified number of persons U, and the number of persons U (the number of persons constituting the group of persons G) captured in the image data 11 is associated with the information storage medium 3 attached to the clothing 2 worn by the one or more persons U. Note that the basic configurations and operations of the devices 4 to 7 of the information processing system 1 according to the second embodiment are the same as those of the first embodiment, and therefore the following description will focus on the differences from the first embodiment.

[0069] The control unit 52 functions as a clothing information acquisition unit 520, a person information acquisition unit 521B, a registration unit 522B, a processing unit 523B, and a processing result output unit 524 by executing the information processing program 510B.

[0070] The personal information acquiring unit 521B acquires at least the number of persons U from image data 11 in which one or more persons U are captured, as the personal information 12B. Therefore, the personal information 12B includes the number of persons U acquired from the image data 11, as shown in Fig. 8. Note that the personal information acquiring unit 521B may acquire the number of persons U with respect to each of the personal attribute information, the body information, and the wearable item information.

[0071] The registration unit 522B registers the clothing information 10 and the person information 12B in the database 60B in association with the acquisition date and time when the clothing information 10 and the person information 12B were acquired. Therefore, as multiple persons U pass in front of the installation device 4 one after another, the clothing information 10 and the person information 12B acquired from each person U are registered and accumulated in the database 60B one after another. At that time, in this embodiment, as described above, the number of one or more persons U captured as image data 11 is associated with the clothing information 10 read from the information storage medium 3 of the clothing 2 worn by the one or more persons U.

[0072] FIG. 10 is a data configuration diagram showing an example of the database 60B according to the second embodiment.

[0073] The database 60B has fields for the acquisition date and time, clothing information 10, and person information 12B. In the database 60B, the clothing information 10 and person information 12B acquired from one or more persons U and the acquisition date and time when they were acquired are registered in each field.

[0074] The database 60B includes a person information table 600B having fields of a person group ID, acquisition date and time, and person information 12B, and a clothing information table 601B having fields of a person group ID and clothing information 10. The person information table 600B and the clothing information table 601B are associated with each other by a person group ID. The person group ID is an identification code that is automatically assigned by the registration unit 522B to identify one or more people U captured in one image data 11 as one person group G.

[0075] In the person information table 600B, person information 12B including at least the number of persons U (the number of people constituting the person group G) obtained from the image data 11 is registered as one record of data. In the clothing information table 601B, clothing information 10 read from an information storage medium 3 attached to one piece of clothing 2 is registered as one record of data. Note that in FIG. 10, the description of body information and wearable information is omitted.

[0076] In the database 60B shown in FIG. 10, for example, a person group G identified by a person group ID “G0001” is made up of four persons U (one in their 20s, one in their 30s, one in their 40s, and one in their 60s), and one of the four persons U is wearing an article of clothing (Jacket) identified by a product code “ABC111”. The information that the person was wearing an item (a jacket), an item (slacks) identified by product code “ABC222”, and an item (a knitwear) identified by product code “DEF333” is registered by associating them with the person group ID, as shown by the arrows in Figure 10.

[0077] The processing unit 523B accepts a predetermined period as a search key for the database 60B, and extracts from the database 60B a number of sets of clothing information 10 and person information 12B associated with acquisition dates and times included in the period. The processing unit 523B then counts the number of conditions that match the predetermined clothing conditions from the extracted plurality of pieces of clothing information 10, counts the total number of people from the extracted plurality of pieces of person information 12B, and calculates the ratio of the number of conditions that match to the total number of people. Here, one set of clothing information 10 and person information 12B indicates clothing information 10 and person information 12B identified by one person group ID.

[0078] For example, when the processing unit 523B extracts 60 sets of clothing information 10 and person information 12B acquired during a predetermined period of one hour (search key), it counts the number of condition matches (e.g., 40) that match a predetermined clothing condition (e.g., "product category" is "coat" and "color" is "black") from the extracted 60 pieces of clothing information 10, counts the total number of people (e.g., 400) from the extracted 60 pieces of person information 12B, and calculates the ratio of the number of condition matches to the total number of people (e.g., 10%). In this way, the ratio of the number of people wearing "black" "coats" to the total number of people who passed in front of the installation device 4 during one hour is calculated.

[0079] In addition, when the reading device 40 can specify the location of the information storage medium 3, the image capturing positions of the multiple persons U may be collated with the locations of the multiple information storage media 3 to specify which information storage medium 3 is attached to the clothing 2 worn by each of the persons U captured as the image data 11. In addition, when the image recognition process for the image data 11 can acquire worn clothing information regarding the clothing 2 worn by each of the multiple persons U, the worn clothing information acquired by the image recognition process for the image data 11 may be collated with the design information included in the clothing information 10 read from the information storage medium 3 to specify which information storage medium 3 is attached to the clothing 2 worn by each of the persons U captured as the image data 11. In this case, the registration unit 522B may register the clothing information 10 regarding the clothing 2 worn by each of the persons U in the database 60B in association with each person U, so that the processing unit 523B may calculate the statistical index for each person, as in the first embodiment.

[0080] According to the information processing device 5 of this embodiment, the registration unit 522B associates the clothing information 10 and the person information 12B including the number of persons U with the acquisition date and time, and registers them in the database 60B, and the processing unit 523B accepts a predetermined period as a search key for the database 60B, extracts multiple sets of clothing information 10 and person information 12B associated with the acquisition date and time included in the period, counts the number of condition matches that match the predetermined clothing conditions from the extracted multiple pieces of clothing information 10, counts the total number of people from the extracted multiple pieces of person information 12B, and calculates the ratio of the number of condition matches to the total number of people. This makes it possible to accurately grasp the ratio of persons U wearing clothing 2 that matches the predetermined clothing conditions for each period.

[0081] (Third embodiment) Fig. 11 is an explanatory diagram showing an example of the flow of information in the information processing system 1 according to the third embodiment. Fig. 12 is a block diagram showing an example of an information processing device 5 according to the third embodiment.

[0082] In the first embodiment, the case has been described where the personal information acquisition unit 521A acquires personal information 12A exemplified in FIG. 2 and FIG. 5 from the image data 11. In contrast, in the third embodiment, the personal information acquisition unit 521C acquires, as the personal information 12C, evaluations of the external features of the person U. A case where value is further acquired will be described. Note that the basic configuration and operation of each of the devices 4 to 7 of the information processing system 1 according to the third embodiment are similar to those of the first embodiment, so the following description will focus on the differences from the first embodiment.

[0083] The evaluation value of the external appearance features of person U is expressed as a numerical value (a score out of 100) or a scale value (a scale such as A, B, or C) when the external appearance features of person U are evaluated according to a specified standard, with coordination, makeup, or hairstyle, or a combination of two or more of these, as the evaluation elements.

[0084] The control unit 52 functions as a clothing information acquisition unit 520, a person information acquisition unit 521C, a registration unit 522C, a processing unit 523C, and a processing result output unit 524 by executing the information processing program 510C.

[0085] The personal information acquisition unit 521C performs a predetermined image recognition process using a trained model, a recognition algorithm, or the like on the image data 11 to acquire, as personal information 12C, at least an evaluation value for the appearance features of a person U wearing a combination of multiple articles of clothing 2. In this embodiment, the personal information 12C includes, as shown in FIG. 11 , the personal information 12A according to the first embodiment, as well as an evaluation value for the appearance features of the person U.

[0086] The registration unit 522C registers clothing information 10 relating to a plurality of pieces of clothing 2 combined and worn by the person U in association with personal information 12C including at least an evaluation value for the appearance features of the person U.

[0087] FIG. 13 is a data configuration diagram showing an example of a database 60C according to the third embodiment.

[0088] The database 60C includes a person information table 600C having fields for a person ID, acquisition date and time, and person information 12C, and a clothing information table 601C having fields for a person ID and clothing information 10. The database 60C has an evaluation value (score evaluation out of 100 points) for the appearance feature as a field of the person information table 600C, and is otherwise configured in the same manner as the database 60A shown in FIG.

[0089] The processing unit 523C accepts a predetermined evaluation value as a search key for the database 60C, and extracts a combination of clothing information 10 associated with personal information 12C that satisfies the evaluation value.

[0090] For example, when the processing unit 523C receives "80 points or more" as a search key as a predetermined evaluation value, it extracts clothing information 10 associated with person information 12C having an evaluation value of "80 points or more." In the database 60C shown in Fig. 13, for example, an evaluation value of "90 points" is assigned to person U identified by person ID "U0001," so that a combination of clothing (jacket) identified by product code "ABC111" and clothing (slacks) identified by product code "ABC222" is extracted as a combination of clothing information 10 associated with person ID "U0001."

[0091] According to the information processing device 5 of this embodiment, the registration unit 522C associates the clothing information 10 relating to a plurality of pieces of clothing 2 worn by a person U with the personal information 12C including at least an evaluation value for the appearance features of the person U, and registers them in the database 60C, and the processing unit 523C accepts the evaluation value as a search key for the database 60C and extracts combinations of clothing information 10 associated with the personal information 12C that satisfy the evaluation value. As a result, combinations (coordination) of clothing 2 that obtain a predetermined evaluation value for the appearance features are It can be accurately grasped.

[0092] (Fourth embodiment) Fig. 14 is an explanatory diagram showing an example of the flow of information in the information processing system 1 according to the fourth embodiment. Fig. 15 is a block diagram showing an example of an information processing device 5 according to the fourth embodiment.

[0093] In the third embodiment, a case has been described in which the personal information acquisition unit 521C acquires, as the personal information 12C, an evaluation value for the appearance features of the person U. In contrast, in the fourth embodiment, a case has been described in which the personal information acquisition unit 521D acquires, as the personal information 12D, a classification for the appearance features of the person U. Note that the basic configurations and operations of the devices 4 to 7 of the information processing system 1 according to the fourth embodiment are similar to those of the third embodiment, and therefore the following description will focus on the differences from the third embodiment.

[0094] The classification of the appearance features of person U is expressed by a classification when the appearance features of person U are grouped according to a predetermined criterion, with coordination, makeup, or hairstyle, or a combination of two or more of these as the elements to be classified. For example, when the appearance features of person U are classified according to the type of coordination, they are classified into casual, business, fashion, natural, street, etc.

[0095] The control unit 52 functions as a clothing information acquiring unit 520, a person information acquiring unit 521D, a registration unit 522D, a processing unit 523D, and a processing result output unit 524 by executing the information processing program 510D.

[0096] The person information acquisition unit 521D acquires at least a classification of the appearance features of the person U wearing a combination of multiple pieces of clothing as the person information 12D. Therefore, the person information 12D includes a classification of the appearance features of the person U acquired from the image data 11, as shown in FIG.

[0097] The person information acquisition unit 521D performs a predetermined image recognition process using a trained model, a recognition algorithm, or the like on the image data 11 to acquire at least a classification of appearance features of a person U wearing a combination of multiple pieces of clothing as person information 12D. In this embodiment, the person information 12D includes a classification of appearance features of the person U in addition to the person information 12A according to the first embodiment, as shown in FIG.

[0098] The registration unit 522D registers clothing information 10 relating to a plurality of pieces of clothing 2 combined and worn by the person U in association with person information 12D including at least a classification of the appearance features of the person U.

[0099] FIG. 16 is a data configuration diagram showing an example of a database 60D according to the fourth embodiment.

[0100] The database 60D includes a person information table 600D having fields of a person ID, acquisition date and time, and person information 12D, and a clothing information table 601D having fields of a person ID and clothing information 10. The database 60D has a classification of appearance features (by coordination system) as a field of the person information table 600D, and is otherwise configured in the same manner as the database 60A shown in FIG.

[0101] The processing unit 523D accepts a predetermined classification as a search key for the database 60D, and extracts a combination of clothing information 10 associated with the person information 12D that satisfies the evaluation value. .

[0102] For example, when the processing unit 523D receives "business" as a search key as a predetermined classification, it extracts clothing information 10 associated with person information 12D having the classification "business." In the database 60D shown in Fig. 16, for example, since the classification "business" is assigned to person U identified by person ID "U0001," a combination of clothing (jacket) identified by product code "ABC111" and clothing (slacks) identified by product code "ABC222" is extracted as a combination of clothing information 10 associated with person ID "U0001."

[0103] In addition, the processing unit 523D accepts specific proposal conditions for proposing combinations of clothing 2, extracts combinations of clothing information 10 that satisfy the proposal conditions from the database 60D, and generates proposal information (recommendation information) regarding clothing 2 based on the extracted combinations of clothing information 10.

[0104] As a first proposal method for generating proposed information, when the processing unit 523D receives the personal information 12D acquired by the personal information acquisition unit 521D as a proposed condition, the processing unit 523D uses a classification of the personal information 12D accepted as the proposed condition as a search key for the database 60D to extract a combination of clothing information 10 associated with the personal information 12D that satisfies the classification. Then, the processing unit 523D generates proposed information about the clothing 2 based on the extracted combination of clothing information 10.

[0105] In the above first proposal method, for example, when a person U passes in front of the installation device 4, the person information acquisition unit 521D acquires person information 12D from image data 11 in which the person U is captured. Then, the processing unit 523D accepts the person information 12D acquired in this way as a proposal condition and generates proposal information, so that if the classification of the person U is, for example, "street style," a combination of "street style" clothing 2 is proposed. This makes it possible to propose a coordination that matches the characteristics (for example, preferred style) of the person U. Note that the proposal information may be transmitted to, for example, a terminal device 7 (for example, a mobile phone, a smartphone, etc.) carried by the person U.

[0106] As a second proposal method for generating proposed information, when the processing unit 523D receives the clothing information 10 and the personal information 12D acquired by the clothing information acquisition unit 520 and the personal information acquisition unit 521D as proposal conditions, the processing unit 523D uses the classification of the personal information 12D received as the proposal conditions as a search key for the database 60D to extract combinations of clothing information 10 associated with the personal information 12D that satisfy the classification. Then, the processing unit 523D generates proposal information about new clothing 2 to be combined with clothing 2 identified by the clothing information 10 based on the extracted combination of clothing information 10 and the clothing information 10 received as the proposal conditions.

[0107] In the second proposal method, for example, when a person U passes in front of the installation device 4, the clothing information acquisition unit 520 acquires clothing information 10 from the information storage medium 3 attached to the clothing 2 worn by the person U, and the personal information acquisition unit 521D acquires personal information 12D from image data 11 in which the person U is captured. Then, the processing unit 523D accepts the clothing information 10 and the personal information 12D acquired in this way as proposal conditions and generates proposal information. In the case where the classification of the person U is, for example, "natural", new "natural" clothing 2 suitable for combination with the clothing 2 currently worn by the person U is proposed. This makes it possible to propose new clothing 2 to be combined with the clothing 2 currently worn by the person U in accordance with the characteristics (for example, preferred style) of the person U. The proposal information may be transmitted to, for example, a terminal device 7 (for example, a mobile phone, a smartphone, etc.) owned by the person U.

[0108] According to the information processing device 5 of this embodiment, the registration unit 522D associates the clothing information 10 related to a plurality of pieces of clothing 2 worn by the person U with the personal information 12D including at least a classification value for the appearance features of the person U, and registers them in the database 60D, and the processing unit 523D accepts the classification as a search key for the database 60D and extracts combinations of clothing information 10 associated with the personal information 12D that satisfy the classification. This makes it possible to accurately grasp combinations (coordination) of clothing 2 that obtain a predetermined classification for the appearance features.

[0109] Fifth embodiment Fig. 17 is an explanatory diagram showing an example of an information flow in the information processing system 1 according to the fifth embodiment. Fig. 18 is a block diagram showing an example of an information processing device 5 according to the fifth embodiment. Fig. 19 is a schematic diagram showing an example of an installation state of the installation device 4 according to the fifth embodiment.

[0110] In the first embodiment, a case has been described in which the registration unit 522A associates the clothing information 10 and the person information 12A with the acquisition date and time when the clothing information 10 and the person information 12A were acquired, and registers them in the database 60A. In contrast, in the fifth embodiment, a case will be described in which the registration unit 522E associates the clothing information 10 and the person information 12E with the device installation location of the installation device 4, and registers them in the database 60E.

[0111] In the first embodiment, the case where the personal information acquisition unit 521A acquires personal information 12A illustrated in Fig. 2 and Fig. 5 from the image data 11 is described. In contrast, in the fifth embodiment, the case where the personal information acquisition unit 521E further acquires the traveling direction of the person U as the personal information 12E is described. Note that the basic configurations and operations of the devices 4 to 7 of the information processing system 1 according to the fifth embodiment are similar to those of the first embodiment, and therefore the following description will focus on the differences from the first embodiment.

[0112] The control unit 52 functions as a clothing information acquisition unit 520, a person information acquisition unit 521E, a registration unit 522E, a processing unit 523E, and a processing result output unit 524 by executing the information processing program 510E.

[0113] The person information acquisition unit 521E acquires at least the traveling direction of the person U as person information 12E by performing a predetermined image recognition process using a trained model, a recognition algorithm, or the like on the image data 11. In this embodiment, the person information 12E includes the traveling direction of the person U in addition to the person information 12A according to the first embodiment, as shown in FIG.

[0114] The registration unit 522E registers the clothing information 10 and the person information 12E, together with the acquisition date and time when the clothing information 10 and the person information 12E were acquired and the device installation location of the installation device 4, in the database 60E in association with each other.

[0115] A plurality of installed devices 4 are installed at each intersection, for example, as shown in FIG. 19. Information indicating the device installation location of the installed device 4 is, for example, stored in advance in the installed device 4 or the information processing device 5, and the registration unit 522E refers to the information to register it in the database 60E. For example, if the communication device 42 of the installed device 4 stores information indicating the device installation location, the communication device 42 adds information indicating the device installation location when transmitting the clothing information 10 and the image data 11 to the information processing device 5, so that the registration unit 522E specifies the device installation location. Also, if the information processing device 5 stores a device ID for identifying the installed device 4 in association with the device installation location of each installed device 4, the communication device 42 adds the device ID of the installed device 4 when transmitting the clothing information 10 and the image data 11 to the information processing device 5. In this way, the registration unit 522E identifies the device installation location corresponding to the device ID.

[0116] FIG. 20 is a data configuration diagram showing an example of a database 60E according to the fifth embodiment.

[0117] The database 60E includes a person information table 600E having fields of a person ID, acquisition date and time, device installation location (acquisition location), and person information 12E, and a clothing information table 601E having fields of a person ID and clothing information 10. The database 60E has fields of the device installation location and the traveling direction of the person U as the fields of the person information table 600E, and is otherwise configured in the same manner as the database 60A shown in FIG.

[0118] The processing unit 523E accepts a predetermined traveling direction as a search key for the database 60E, and extracts a combination of clothing information 10 associated with person information 12E that satisfies the predetermined traveling direction.

[0119] 19, the processing unit 523E accepts a predetermined area (e.g., a city, ward, town, village, or mesh unit) as a search key for the database 60E, and extracts multiple sets of clothing information 10 and person information 12E associated with the device installation locations included in the area. The processing unit 523E then calculates statistical indicators based on the extracted multiple sets of clothing information 10 and person information 12E.

[0120] Furthermore, when the installed devices 4 are installed at multiple device installation locations as shown in Fig. 19, the processing unit 523E accepts the multiple device installation locations as search keys for the database 60E and extracts multiple sets of clothing information 10 and person information 12E for each device installation location. The processing unit 523E then calculates the movement line of the person U by aggregating the multiple sets of clothing information 10 and person information 12E for each extracted device installation location for each traveling direction. Note that, although Fig. 19 illustrates an example in which multiple installed devices 4 are installed at each intersection, they may also be installed in various locations (entrances, exits, passageways, etc.) indoors in a station, store, etc., and used to calculate the movement line of the person U indoors. For example, if the installed device 4 is installed at the entrance / exit of a store, two records containing the same clothing information 10 and person information 12E at the same device installation location can be extracted from the database 60E, and the dwell time in the store can be calculated from the difference between the acquisition date and time of the first record, which indicates that the direction of travel is entering the store, and the acquisition date and time of the second record, which indicates that the direction of travel is leaving the store, thereby calculating statistical indicators related to the dwell time, for example, by age, gender, period, etc.

[0121] For example, weather information may be used as information specific to the device installation location. The weather information may be, for example, weather (clear, cloudy, rainy, snowy, etc.), temperature, humidity, wind direction, wind speed, air pressure, precipitation, etc. In this case, the registration unit 522E registers the clothing information 10 and the person information 12E in the database 60E in association with the acquisition date and time when the clothing information 10 and the person information 12E were acquired, the device installation location of the installed device 4, and the weather information at the device installation location. The weather information at the device installation location may be acquired from the installed device 4, for example, if the installed device 4 is equipped with a weather observation sensor that observes weather information, or may be acquired as actual weather information from a weather information providing system operated by the Japan Meteorological Agency or a weather information provider. The processing unit 523E also accepts a predetermined weather condition (for example, clear, temperature 20°C or higher) as a search key for the database 60E, and extracts a plurality of sets of clothing information 10 and person information 12E associated with weather information that matches the weather condition. Then, the processing unit 523E calculates a statistical index based on the extracted multiple sets of clothing information 10 and person information 12E.

[0122] According to the information processing device 5 of this embodiment, the registration unit 522E associates the clothing information 10 relating to the multiple pieces of clothing 2 combined and worn by the person U with the person information 12D including at least the moving direction of the person U and registers them in the database 60E. The direction is accepted as a search key for the database 60E, and a combination of clothing information 10 associated with person information 12E that satisfies the travel direction is extracted. This makes it possible to accurately grasp the combination (coordination) of clothing 2 worn by a person U heading in a specific travel direction.

[0123] Furthermore, the registration unit 522E associates the clothing information 10 and person information 12E with the device installation location and registers them in the database 60E, and the processing unit 523E accepts a specific region as a search key for the database 60E, extracts from the database 60E multiple sets of clothing information 10 and person information 12E associated with the device installation location included in the region, and calculates statistical indices based on the extracted multiple sets of clothing information 10 and person information 12E. This makes it possible to accurately grasp the trend of wearing clothing 2 on a regional basis.

[0124] Furthermore, the processing unit 523E accepts multiple device installation locations as search keys for the database 60E, extracts multiple sets of clothing information 10 and person information 12E for each device installation location, and calculates the movement line of the person U by tallying up the multiple sets of clothing information 10 and person information 12E for each device installation location for each traveling direction. This makes it possible to accurately grasp the movement line of the person U.

[0125] (Other embodiments) The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit and scope of the present invention, all of which are included in the technical concept of the present invention.

[0126] For example, the first to fifth embodiments may be any combination of at least two of the embodiments. For example, the first embodiment may be combined with the third embodiment, or the first embodiment may be combined with the third and fourth embodiments.

[0127] In the first to fifth embodiments, the information management device 6 has been described as including the databases 60A to 60E. However, the storage unit 51 of the information processing device 5 may store the databases 60A to 60E.

[0128] In the first to fifth embodiments, the devices 4 to 7 of the information processing system 1 access the external database device based on the product unique information of the clothing information 10 to additionally acquire other information stored in the external database device. However, the devices 4 to 7 may acquire information on topics and demand for the clothing 2 as a specific example of other information. Information on topics and demand for the clothing 2 is stored in the external database device as needed by, for example, executing an automatic crawling program that automatically crawls websites on the Internet based on the product unique information of the clothing 2 and analyzing information on hashtags in social networking services (SNS) and character strings or photos included in articles, posts, comments, etc. In this case, if information on date and time or location is included in the character string or photo, the information is also stored in the external database device. Then, when the processing units 523A to 523E of the information processing device 5 obtain information based on the relevance between the clothing information 10 and the person information 12A to 12E, the processing units 523A to 523E of the information processing device 5 may access the external database device based on the product unique information to acquire information on topics and demand for the clothing 2, thereby calculating statistical indicators including the viewpoints of topics and demand. Furthermore, when the information on topics or demand includes information on date, time, and location, the processing units 523A to 523E may calculate a composite statistical index including aspects of topics and demand by combining the information with the acquisition date, device installation location, and weather information registered in the databases 60A to 60E. [Explanation of symbols]

[0129] 1...information processing system, 2...clothing, 3...information storage medium, 4...installation device, 5...information processing device, 6...information management device, 8...network, 10...Clothing information, 11...Image data, 12A to 12E...Personal information, 30: memory circuit, 31: communication circuit, 40: reading device, 41: imaging device, 42: communication device, 50: input unit, 51: memory unit, 52: control unit, 53: communication unit, 54: output unit, 510A~510E…Information processing programs, 520: clothing information acquisition unit, 521A to 521E: person information acquisition unit, 522A to 522E: registration unit, 523A to 523E: processing unit, 524: processing result output unit, 60A to 60E: database, 600A to 600E: Person information table, 601A to 601E: Clothing information table, 900...Computer, G...People, U...People

Claims

1. a clothing information acquisition unit that acquires the clothing information read from an information storage medium attached to the clothing, the information storage medium having a memory circuit for storing clothing information related to the clothing and a communication circuit for performing non-contact communication, by the non-contact communication; a person information acquisition unit that acquires person information about a person wearing the clothing from image data of the person; a registration unit that associates the clothing information and the personal information with each other and registers the clothing information and the personal information in a database each time the clothing information acquisition unit and the personal information acquisition unit acquire the clothing information and the personal information; a processing unit that refers to the database and obtains information based on the correlation between the clothing information and the person information, The person information acquisition unit, At least a moving direction of the person is acquired as the person information; The processing unit includes: accepting the travel direction as a search key for the database, and extracting a combination of the clothing information associated with the person information that satisfies the travel direction; Information processing device.

2. a clothing information acquisition unit that acquires the clothing information read from an information storage medium attached to the clothing, the information storage medium having a memory circuit for storing clothing information related to the clothing and a communication circuit for performing non-contact communication, by the non-contact communication; a person information acquisition unit that acquires person information about a person wearing the clothing from image data of the person; a registration unit that associates the clothing information and the personal information with each other and registers the clothing information and the personal information in a database each time the clothing information acquisition unit and the personal information acquisition unit acquire the clothing information and the personal information; a processing unit that refers to the database and obtains information based on the correlation between the clothing information and the person information, The person information acquisition unit, At least a moving direction of the person is acquired as the person information; The registration unit is a reading device that reads the clothing information from the information storage medium through the non-contact communication; and registering the clothing information and the person information in association with a location where an imaging device that captures an image of the person is installed; The processing unit includes: When the reading device and the imaging device are installed in a plurality of the device installation locations, the plurality of device installation locations are accepted as search keys for the database, and a plurality of sets of the clothing information and the person information are extracted for each of the device installation locations; aggregating the extracted sets of clothing information and person information for each of the device installation locations for each of the travel directions to determine the movement line of the person; Information processing device.

3. The registration unit is registering the clothing information and the person information in association with each other together with the acquisition date and time when the clothing information and the person information were acquired; The processing unit includes: accepting a predetermined period as a search key for the database, and extracting a plurality of sets of the clothing information and the person information associated with the acquisition date and time included in the period; Calculating a statistical index based on the extracted sets of clothing information and person information.

3. The information processing device according to claim 1 or 2.

4. The person information acquisition unit, As the person information, at least the number of people is acquired from the image data in which one or more people are captured; The registration unit is registering the clothing information and the person information in association with each other together with the acquisition date and time when the clothing information and the person information were acquired; The processing unit includes: accepting a predetermined period as a search key for the database, and extracting a plurality of sets of the clothing information and the person information associated with the acquisition date and time included in the period; Counting the number of conditions that match a predetermined clothing condition from the extracted plurality of pieces of clothing information, and counting the total number of people from the extracted plurality of pieces of person information; Calculate the ratio of the number of people who meet the condition to the total number of people. The information processing device according to claim 1 .

5. The person information acquisition unit, As the person information, at least an evaluation value for an external appearance feature of the person wearing a combination of a plurality of the clothes is obtained; The registration unit is registering the clothing information relating to the plurality of pieces of clothing worn by the person in combination with the person information in association with each other; The processing unit includes: accepting the evaluation value as a search key for the database, and extracting a combination of the clothing information associated with the personal information that satisfies the evaluation value; The information processing device according to claim 1 .

6. The person information acquisition unit, As the person information, at least a classification of appearance features of the person wearing a combination of a plurality of the clothes is acquired; The registration unit is registering the clothing information relating to the plurality of pieces of clothing worn by the person in combination with the person information in association with each other; The processing unit includes: accepting the classification as a search key for the database, and extracting a combination of the clothing information associated with the person information that satisfies the classification; The information processing device according to claim 1 .

7. The processing unit includes: When the personal information acquired by the personal information acquisition unit is received as a proposed condition, extracting a combination of the clothing information associated with the personal information that satisfies the classification by using the classification of the personal information received as the proposed condition as a search key for the database; generating recommendation information about the clothing based on the extracted combination of clothing information; The information processing device according to claim 6.

8. The processing unit includes: When the clothing information and the person information acquired by the clothing information acquisition unit and the person information acquisition unit are received as suggested conditions, extracting a combination of the clothing information associated with the personal information that satisfies the classification by using the classification of the personal information received as the proposed condition as a search key for the database; generating proposal information on new clothing to be combined with the clothing identified by the clothing information, based on the extracted combination of clothing information and the clothing information accepted as the proposal condition; The information processing device according to claim 6.

9. An information processing device according to any one of claims 1 to 8; a reading device that reads the clothing information from the information storage medium through the non-contact communication; and an imaging device for imaging the person. Information processing system.

10. a clothing information acquisition process for acquiring the clothing information read from an information storage medium attached to the clothing, the information storage medium having a memory circuit for storing clothing information related to the clothing and a communication circuit for performing non-contact communication, by the non-contact communication; a person information acquiring step of acquiring person information about a person wearing the garment from image data of the person; a registration step of registering the clothing information and the person information in a database in association with each other every time the clothing information acquisition step and the person information acquisition step acquire the clothing information and the person information; a processing step of referring to the database and obtaining information based on the correlation between the clothing information and the person information, The person information acquisition step includes: At least a moving direction of the person is acquired as the person information; The processing step comprises: accepting the travel direction as a search key for the database, and extracting a combination of the clothing information associated with the person information that satisfies the travel direction; Information processing methods.

11. The information storage medium attached to the garment has a memory circuit for storing clothing information about the garment and a communication circuit for performing non-contact communication, and the information storage medium reads the clothing information by non-contact communication. a clothing information acquisition step of acquiring the clothing information; a person information acquiring step of acquiring person information about a person wearing the garment from image data of the person; a registration step of registering the clothing information and the person information in a database in association with each other every time the clothing information acquisition step and the person information acquisition step acquire the clothing information and the person information; a processing step of referring to the database and obtaining information based on the correlation between the clothing information and the person information, The person information acquisition step includes: At least a moving direction of the person is acquired as the person information; The registration step includes: registering the clothing information and the person information in association with each other, together with a reading device that reads the clothing information from the information storage medium by the non-contact communication and an installation location of an imaging device that images the person; The processing step comprises: When the reading device and the imaging device are installed in a plurality of the device installation locations, the plurality of device installation locations are accepted as search keys for the database, and a plurality of sets of the clothing information and the person information are extracted for each of the device installation locations; aggregating the extracted sets of clothing information and person information for each of the device installation locations for each of the travel directions to determine the movement line of the person; Information processing methods.

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