WO2021095539A1 - 処理装置、処理方法及びプログラム - Google Patents

処理装置、処理方法及びプログラム Download PDF

Info

Publication number
WO2021095539A1
WO2021095539A1 PCT/JP2020/040580 JP2020040580W WO2021095539A1 WO 2021095539 A1 WO2021095539 A1 WO 2021095539A1 JP 2020040580 W JP2020040580 W JP 2020040580W WO 2021095539 A1 WO2021095539 A1 WO 2021095539A1
Authority
WO
WIPO (PCT)
Prior art keywords
product
sales
score
information
display position
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2020/040580
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
淳 内村
裕司 田原
莉奈 富田
康代 加増
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEC Corp
Original Assignee
NEC Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NEC Corp filed Critical NEC Corp
Priority to JP2021556002A priority Critical patent/JP7613370B2/ja
Priority to US17/775,610 priority patent/US12148023B2/en
Publication of WO2021095539A1 publication Critical patent/WO2021095539A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0639—Locating goods or services, e.g. based on physical position of the goods or services within a shopping facility
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras

Definitions

  • the present invention relates to a processing device, a processing method and a program.
  • Patent Document 1 discloses that, based on past sales results, benefit information indicating the profit obtained when each product is displayed at each shelf position is generated. Further, Patent Document 1 discloses that the benefit information is extracted for each product based on the shelf position of the product arranged on the shelf, and the evaluation value obtained by adding them is calculated.
  • Patent Document 2 discloses that the product displayed on the product shelf is recognized by image analysis.
  • Patent Document 1 It is known that "where on the display shelf the product is displayed" affects the sales of the product. According to the technique described in Patent Document 1, it is possible to evaluate whether or not the display state of the product is in a state where sales can be improved based on the display position of each product.
  • Patent Document 1 does not disclose the means for specifying the display position of each product. When the worker specifies the display position for each product and inputs it to the device, the burden on the worker becomes large.
  • Patent Document 2 neither describes nor suggests to evaluate whether or not the display state of a product is in a state where sales can be improved based on the display position of each product.
  • An object of the present invention is to provide a technique for evaluating the display state of products based on the display position of each product while suppressing the burden on workers.
  • An acquisition method for acquiring images including product display shelves, A display position specifying means for specifying the display position of each product based on the above image, and A calculation means for calculating a sales-related score related to sales based on the display position of each of the specified products, and An output means for outputting the calculated sales-related score, and A processing device having the above is provided.
  • the computer Get the image including the product display shelf, Based on the above image, identify the display position of each product and Based on the display position of each of the specified products, a sales-related score related to sales is calculated. A processing method for outputting the calculated sales-related score is provided.
  • Computer Acquisition method to acquire images including product display shelves, Display position specifying means for specifying the display position of each product based on the above image, A calculation means for calculating a sales-related score related to sales based on the display position of each of the specified products. An output means for outputting the calculated sales-related score, A program is provided to function as.
  • a technique for evaluating the display state of products based on the display position of each product is realized while suppressing the burden on the operator.
  • FIG. 1 It is a figure which shows an example of the hardware composition of the processing apparatus of this embodiment. It is an example of the functional block diagram of the processing apparatus of this embodiment. It is a figure which shows typically an example of the information processed by the processing apparatus of this embodiment. It is a figure for demonstrating the processing of the processing apparatus of this embodiment. It is a figure which shows typically an example of the information processed by the processing apparatus of this embodiment. It is a figure which shows typically an example of the information processed by the processing apparatus of this embodiment. It is a flowchart which shows an example of the processing flow of the processing apparatus of this embodiment. It is a figure which shows typically an example of the information processed by the processing apparatus of this embodiment. It is a figure which shows typically an example of the information processed by the processing apparatus of this embodiment.
  • the processing device acquires an image including the product display shelf, it identifies the display position of each product based on the image, and obtains a sales-related score (evaluation value of the product layout) related to sales based on the display position of each specified product. calculate.
  • the processing device it is possible to evaluate whether or not the display state of the product is in a state where sales can be improved based on the display position of each product.
  • the display position of each product can be specified by analyzing the image, the burden on the worker can be reduced as compared with the case where the worker specifies the display position of each product and inputs it to the device. Can be done.
  • the functional unit included in the processing device of this embodiment is a CPU (Central Processing Unit) of an arbitrary computer, a memory, a program loaded into the memory, and a storage unit such as a hard disk for storing the program (from the stage of shipping the device in advance).
  • a storage unit such as a hard disk for storing the program (from the stage of shipping the device in advance).
  • it can also store programs downloaded from storage media such as CDs (Compact Discs) and servers on the Internet), and any combination of hardware and software centered on the network connection interface. Realized by. And, it is understood by those skilled in the art that there are various modifications of the realization method and the device.
  • FIG. 1 is a block diagram illustrating a hardware configuration of the processing device of the present embodiment.
  • the processing device includes a processor 1A, a memory 2A, an input / output interface 3A, a peripheral circuit 4A, and a bus 5A.
  • the peripheral circuit 4A includes various modules.
  • the peripheral circuit 4A does not have to be provided.
  • the processing device may be composed of one physically and / or logically integrated device, or may be composed of a plurality of physically and / or logically separated devices. When composed of a plurality of physically and / or logically separated devices, each of the plurality of devices can be provided with the above hardware configuration.
  • the bus 5A is a data transmission path for the processor 1A, the memory 2A, the peripheral circuits 4A, and the input / output interface 3A to send and receive data to and from each other.
  • the processor 1A is, for example, an arithmetic processing unit such as a CPU or a GPU (Graphics Processing Unit).
  • the memory 2A is, for example, a memory such as a RAM (RandomAccessMemory) or a ROM (ReadOnlyMemory).
  • the input / output interface 3A includes an interface for acquiring information from an input device, an external device, an external server, an external sensor, a camera, etc., an interface for outputting information to an output device, an external device, an external server, etc. ..
  • the input device is, for example, a keyboard, a mouse, a microphone, a touch panel, a physical button, a camera, or the like.
  • the output device is, for example, a display, a speaker, a printer, a mailer, or the like.
  • the processor 1A can issue commands to each module and perform calculations based on the calculation results thereof.
  • FIG. 2 shows an example of a functional block diagram of the processing device 10.
  • the processing device 10 includes an acquisition unit 11, a display position specifying unit 12, a calculation unit 13, an output unit 14, and a storage unit 15.
  • the acquisition unit 11 acquires an image including the product display shelf. In addition to the image, the acquisition unit 11 may acquire the attribute information of the image (information for identifying the store where the image was taken, the date and time of the image, etc.).
  • FIG. 3 schematically shows an example of the image P acquired by the acquisition unit 11. In the illustrated example, a state in which a plurality of products 102 are displayed on the product display shelf 101 is shown.
  • a plurality of cameras may be installed in the store at positions and orientations at which each of the plurality of product display shelves is photographed. Then, the camera may take a picture of the product display shelf at a predetermined timing and transmit the taken image to the processing device 10.
  • the predetermined timing at which the camera shoots may be a predetermined timing.
  • the predetermined timing may be, for example, "a predetermined time once a day", "a predetermined time on the A day of every month", or the like.
  • the predetermined time may be immediately after the scheduled time when new products arrive at the store and the display on the shelves ends.
  • the predetermined timing for shooting by the camera may be the timing when the worker (clerk or the like) inputs the shooting instruction.
  • the operator may input a shooting instruction into an arbitrary device (processing device 10, smartphone, personal computer, tablet terminal, etc.). Then, the arbitrary device may transmit the input shooting instruction to the camera.
  • the worker may manually take a picture of each of a plurality of product display shelves while moving around the store with a camera or a mobile terminal having a camera function (eg, tablet terminal, smartphone, mobile phone, etc.).
  • a robot equipped with a camera function and a moving means may take a picture of each of a plurality of product display shelves while moving in the store. Then, the captured shelf image may be input to the processing device 10 by any means.
  • a camera, a mobile terminal having a camera function, or a robot may have a communication function for communicating with the processing device 10 via a communication network. Then, the camera, the mobile terminal having the camera function, or the robot may transmit the shelf image to the processing device 10 via the communication network.
  • the processing device 10 can function as a server (eg, a cloud server).
  • acquisition means “the own device goes to retrieve the data stored in another device or storage medium” based on the user input or the instruction of the program (active). Acquisition) ”, for example, requesting or inquiring about another device to receive the data, accessing another device or a storage medium to read the data, and the like. Further, “acquisition” means “inputting data output from another device to the own device (passive acquisition)” based on user input or program instruction, for example, distribution (or distribution (or). , Transmission, push notification, etc.) may be included. In addition, “acquisition” means selecting and acquiring from received data or information, and “editing data (projection conversion of an image, processing of expanding an image taken with a fisheye camera in a plane, text). It may include "acquiring the new data by generating new data by converting, rearranging the data, extracting some data, changing the file format, etc.”.
  • the display position specifying unit 12 specifies the display position of each product based on the image acquired by the acquisition unit 11.
  • the columns and columns of the product display shelf 101 are defined in advance, and the information indicating the definition contents is stored in the storage unit 15. Then, the display position of each product 102 is indicated by the name of the column and the column. For example, the display position of "Gokuyakisoba" shown in FIG. 4 can be expressed as "3rd row B row". The method of expressing the display position is not limited to this, and other methods may be adopted.
  • the means for identifying the display position of each product by image analysis is not particularly limited, and any technology can be adopted.
  • the display position specifying unit 12 may specify all the products included in the image P by pattern matching or the like.
  • the display position specifying unit 12 may specify the shelf board, bottom plate, top plate, side wall, and the like of the product display shelf 101 based on the appearance characteristics of the product display shelf 101 registered in advance. A predetermined mark may be attached to the shelf plate, the bottom plate, the top plate, the side wall, and the like. Then, the display position specifying unit 12 may specify the shelf plate, bottom plate, top plate, side wall, and the like of the product display shelf 101 based on this mark.
  • the display position specifying unit 12 can specify in which stage each of the specified products 102 is displayed based on the specified shelf plate, bottom plate, and top plate. Further, the display position specifying unit 12 can specify, for example, in which row each of the specified products 102 is displayed by counting the products 102 in order from the leftmost side wall.
  • the number of rows of the product display shelves 101 may differ depending on the size of the products to be displayed and the like. Specifically, when a small product is displayed, the number of columns is large, and when a large product is displayed, the number of columns is small. Further, the number of rows and the number of stages of the product display shelf 101 may differ depending on the configuration of the product display shelf 101. For example, such a situation may occur when the product display shelves 101 having different configurations are used for each sales floor.
  • columns and columns may be defined for each product display shelf 101 or for each product display shelf 101 group, and information indicating the definition contents may be stored in the processing device 10. Then, in addition to the images, the acquisition unit 11 further acquires information indicating which product display shelf 101 included in each image is which product display shelf 101 or which product display shelf 101 group belongs to. May be good.
  • the acquisition unit 11 acquires the information for identifying the camera that generated each image as the information indicating which product display shelf 101 the image includes.
  • the worker determines which product display shelf 101 is the product display shelf 101 included in each image, or which product display shelf 101 group.
  • Information indicating whether or not the product belongs to may be input to the processing device 10.
  • the information indicating which product display shelf 101 is, for example, identification information (serial number or the like) attached to each of the plurality of product display shelves 101.
  • the information indicating which product display shelf 101 group belongs to is, for example, "product display shelf 101 in the 5th passage", "product display shelf 101 in the bread counter", and the like.
  • the calculation unit 13 calculates a sales-related score (evaluation value of the product layout) related to sales based on the display position of each of the specified products 102.
  • the calculation unit 13 can calculate the sales-related score based on the score information indicating the score when the product is displayed at each of the plurality of display positions for each product 102.
  • FIGS. 5 and 6 show an example of score information.
  • FIG. 5 shows the score information of the product A
  • FIG. 6 shows the score information of the product B.
  • score information is created for each product 102 and stored in the storage unit 15.
  • the score information shown shows that the larger the value is, the higher the sales of the product 102 are.
  • score information is created based on past display results, sales results, and the like.
  • the calculation unit 13 extracts a score corresponding to the display position of each product 102 for each product 102 based on the display position of each product 102 specified by the display position specifying unit 12 and the score information as described above. Then, the calculation unit 13 calculates the sales-related score based on the score for each of the extracted products 102. For example, the calculation unit 13 may calculate a statistical value (eg, average value, mode value, median value, etc.) of the score for each extracted product 102 as a sales-related score, or for each extracted product 102. The total value of the scores may be calculated as a sales-related score.
  • a statistical value eg, average value, mode value, median value, etc.
  • the calculation unit 13 may calculate the sales-related score for each of the 101 product display shelves. That is, the calculation unit 13 may calculate the sales-related score of each product display shelf 101 based on the score of the product 102 displayed on each product display shelf 101.
  • the calculation unit 13 calculates a sales-related score for each group of a plurality of product display shelves 101 (eg, a group of product display shelves 101 in the same sales floor, a group of product display shelves 101 installed in the same aisle, etc.). You may. That is, the calculation unit 13 may calculate the sales-related score of each group based on the score of the product 102 displayed on the product display shelf 101 belonging to each group.
  • the calculation unit 13 may calculate the sales-related score for the entire store. That is, the calculation unit 13 may calculate the sales-related score for the entire store based on the score of the product 102 displayed on the product display shelf 101 installed in one store.
  • the calculation unit 13 may calculate a sales-related score for each part of one product display shelf 101. That is, the calculation unit 13 may calculate the sales-related score of a part of the product display shelf 101 based on the score of the product 102 displayed on the part of the product display shelf 101.
  • the output unit 14 outputs the sales-related score calculated by the calculation unit 13.
  • the output unit 14 may output information indicating a part of the product display shelf 101, the above group, the store, or the product display shelf 101 whose sales-related score satisfies a predetermined condition.
  • the output unit 14 includes a list of product display shelves 101 whose sales-related score satisfies a predetermined condition, a list of the above-mentioned groups whose sales-related score satisfies a predetermined condition, and a store whose sales-related score satisfies a predetermined condition.
  • a list or a list of a part of the product display shelf 101 whose sales-related score satisfies a predetermined condition may be output. Examples of predetermined conditions include "sales-related score is below the standard value" and "sales-related score is above the standard value".
  • the output unit 14 may further output an image of a product display shelf 101 having a sales-related score of a reference value or less, the above group, a store, or a part of the product display shelf 101. Then, in the image, the product 102 whose score is equal to or less than the reference value may be highlighted with a frame or the like. Further, the output unit 14 includes an image of a product display shelf 101 having a sales-related score of less than the reference value, a part of the group, store, or product display shelf 101, and a product display shelf 101 having a sales-related score higher than the reference value. , The image of a part of the group, the store, or the product display shelf 101 may be output in a comparable manner.
  • the display position specifying unit 12 specifies the display position of each product 102 based on the image (S11).
  • the calculation unit 13 sets the display position of each product 102 for each product 102 based on the score information of each product 102 (see FIGS. 5 and 6) and the display position of each product 102 specified in S11. The corresponding score is extracted (S12). Then, the calculation unit 13 calculates the sales-related score based on the score of each of the extracted products 102 (S13). Next, the output unit 14 outputs the calculated sales-related score (S14).
  • the processing device 10 may be installed in each of a plurality of stores, and a sales-related score related to each store may be calculated.
  • the processing device 10 is a center device that communicates with store devices installed in each of the plurality of stores, receives various information (images, etc.) from the store devices, and calculates sales-related scores related to each of the plurality of stores. There may be.
  • the processing device 10 of the present embodiment described above it is possible to evaluate whether or not the display state of the product 102 is in a state where sales can be improved based on the display position of each product 102. Further, since the display position of each product 102 can be specified by analyzing the image, the burden on the worker is reduced as compared with the case where the worker specifies the display position of each product 102 and inputs it to the device. can do.
  • the processing device 10 can calculate a sales-related score for each product display shelf 101. Therefore, for each product display shelf 101, it is possible to evaluate whether or not the display state of the product 102 is in a state where sales can be improved.
  • the processing device 10 can calculate a sales-related score for each group of a plurality of product display shelves 101. Therefore, for example, it is possible to evaluate whether or not the display state of the product 102 is in a state where sales can be improved for each sales floor.
  • the processing device 10 can calculate a sales-related score for the entire store. Therefore, it is possible to evaluate whether or not the display state of the product 102 is in a state where sales can be improved for each store.
  • the processing device 10 can calculate a sales-related score for each part of the product display shelf 101. Therefore, it is possible to evaluate whether or not the display state of the product 102 is in a state where sales can be improved for each part of the product display shelf 101.
  • the processing device 10 can specify a product display shelf 101, a group, a store, or a part of the product display shelf 101 whose sales-related score satisfies a predetermined condition. Based on the specific content, the operator can easily identify the part where the display layout needs to be changed.
  • the way to display the product 102 that can improve sales is the attribute of the store (whether it is a store in front of the station, whether it is a store in the office district, whether it is a store in the student district, etc.), the season, and each product 102. It may differ depending on the attributes (whether or not the product is handled for the first time at the store, whether or not the product is handled for a predetermined period of time, whether or not the product is targeted for the campaign, etc.). Therefore, the processing device 10 of the present embodiment stores a plurality of score information for each product 102, and calculates the above-mentioned sales-related score based on the score information satisfying the condition. By doing so, it is possible to appropriately evaluate whether or not the display state of the product 102 is in a state where sales can be improved, in consideration of the attributes of the store, the season, the attributes of each product 102, and the like. it can.
  • FIG. 2 An example of the functional block diagram of the processing device 10 of the present embodiment is shown in FIG. 2 as in the first embodiment.
  • a plurality of score information is created for each product 102 and stored in the storage unit 15. Then, the conditions for applying each of the plurality of score information are determined and stored in the storage unit 15.
  • FIG. 8 and 9 show some of the plurality of score information created corresponding to the product A.
  • FIG. 8 is score information of the product A created for the store in the student district.
  • FIG. 9 is score information of the product A created for the store in the office district.
  • Other examples of applicable conditions are for stores in front of stations, for local cities, for urban areas, for residential areas, for spring, for summer, for autumn, for winter, and new products that have not been handled in stores for a specified period of time. Examples include, but are not limited to, for products, for standard products that have passed a predetermined period from the start of handling at stores, for products subject to campaigns, or conditions that combine these with logical operators.
  • the calculation unit 13 acquires material information and specifies score information that satisfies the conditions based on the acquired material information. Then, the calculation unit 13 calculates the sales-related score based on the specified score information.
  • the material information is information that serves as a material for determining whether or not the above-mentioned applicable conditions are satisfied.
  • the material information includes at least one of the attribute information of the store including the product display shelf 101 included in the image, the information indicating the timing (date and time) when the image was generated, and the information related to the product 102.
  • the attribute information of the store is exemplified by the address, the type of location (example: student district, office district, station square, local city, urban area, residential area, etc.).
  • Examples of the information related to the product 102 include information (date and time) indicating the timing of starting handling at the store, information indicating whether or not the product is a campaign target product, and the like.
  • a part or all of these material information may be stored in the storage unit 15 in advance. Then, the calculation unit 13 may acquire the attribute information of the store in which the image acquired by the acquisition unit 11 is taken and the related information of the product 102 included in the image from the storage unit 15.
  • the processing device 10 of the present embodiment which stores a plurality of score information for each product 102 and calculates the above-mentioned sales-related score based on the score information satisfying the conditions, the attribute, season, and each of the stores. It is possible to appropriately evaluate whether or not the display state of the product 102 is in a state where sales can be improved in consideration of the attributes of the product 102 and the like.

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
PCT/JP2020/040580 2019-11-15 2020-10-29 処理装置、処理方法及びプログラム Ceased WO2021095539A1 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2021556002A JP7613370B2 (ja) 2019-11-15 2020-10-29 処理装置、処理方法及びプログラム
US17/775,610 US12148023B2 (en) 2019-11-15 2020-10-29 Processing apparatus, processing method, and non-transitory storage medium

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2019206673 2019-11-15
JP2019-206673 2019-11-15

Publications (1)

Publication Number Publication Date
WO2021095539A1 true WO2021095539A1 (ja) 2021-05-20

Family

ID=75912491

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2020/040580 Ceased WO2021095539A1 (ja) 2019-11-15 2020-10-29 処理装置、処理方法及びプログラム

Country Status (3)

Country Link
US (1) US12148023B2 (https=)
JP (1) JP7613370B2 (https=)
WO (1) WO2021095539A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2025094316A1 (ja) * 2023-11-01 2025-05-08 日本電気株式会社 処理装置、処理方法、及び記録媒体

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010033115A (ja) * 2008-07-25 2010-02-12 Japan Tobacco Inc データ処理装置、コンピュータプログラム、データ処理方法
JP2013250647A (ja) * 2012-05-30 2013-12-12 Dongjoo Shin 商品陳列情報集計方法とデータ構造およびそれを記録した記録媒体
JP2014075090A (ja) * 2012-10-05 2014-04-24 D.T.P Inc 陳列位置分析システム
JP2016009426A (ja) * 2014-06-26 2016-01-18 株式会社日立製作所 トレンド分析装置、及びトレンド分析方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100171826A1 (en) * 2006-04-12 2010-07-08 Store Eyes, Inc. Method for measuring retail display and compliance
JP2010152504A (ja) 2008-12-24 2010-07-08 Osaka Prefecture Univ 商品棚配置装置
WO2019107157A1 (ja) 2017-11-29 2019-06-06 株式会社Ｎｔｔドコモ 棚割情報生成装置及び棚割情報生成プログラム
EP3811302A4 (en) * 2018-06-23 2022-03-09 Simbe Robotics, Inc. METHOD OF INVENTORY MANAGEMENT IN A STORE
US20200034781A1 (en) * 2018-07-27 2020-01-30 International Business Machines Corporation System and method for cognitive adjacency planning and cognitive planogram design

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010033115A (ja) * 2008-07-25 2010-02-12 Japan Tobacco Inc データ処理装置、コンピュータプログラム、データ処理方法
JP2013250647A (ja) * 2012-05-30 2013-12-12 Dongjoo Shin 商品陳列情報集計方法とデータ構造およびそれを記録した記録媒体
JP2014075090A (ja) * 2012-10-05 2014-04-24 D.T.P Inc 陳列位置分析システム
JP2016009426A (ja) * 2014-06-26 2016-01-18 株式会社日立製作所 トレンド分析装置、及びトレンド分析方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2025094316A1 (ja) * 2023-11-01 2025-05-08 日本電気株式会社 処理装置、処理方法、及び記録媒体

Also Published As

Publication number Publication date
JP7613370B2 (ja) 2025-01-15
US20220398648A1 (en) 2022-12-15
JPWO2021095539A1 (https=) 2021-05-20
US12148023B2 (en) 2024-11-19

Similar Documents

Publication Publication Date Title
CN109697629B (zh) 产品数据推送方法及装置、存储介质、计算机设备
JP6479142B2 (ja) ユーザ介入なくレイアウトに従った画像識別及び編成
CN112200631B (zh) 一种行业分类模型的训练方法及装置
KR101891861B1 (ko) 정보 처리 시스템, 정보 처리 시스템의 제어 방법, 및 정보 기억 매체
CN114519889B (zh) 直播间的封面图像检测方法、装置、计算机设备及介质
US11302217B2 (en) Augmented reality dealer vehicle training manual
CA2913432A1 (en) System and method for identifying, analyzing, and reporting on players in a game from video
CN110889419A (zh) 一种货架分析方法、装置、系统及电子设备
JP2016218821A (ja) 販売情報利用装置、販売情報利用方法、およびプログラム
CN114880310A (zh) 一种用户行为分析方法、装置、计算机设备及存储介质
JP6031210B1 (ja) 販売予測装置、販売予測方法、およびプログラム
JP7613370B2 (ja) 処理装置、処理方法及びプログラム
CN112699189B (zh) 位置信息更新方法、装置及计算机系统
CN103853347B (zh) 基于移动终端重力感应横屏显示的信息发布方法
WO2021033310A1 (ja) 処理装置、処理方法及びプログラム
JP2016058036A (ja) 情報共有サーバ装置、情報共有システム、情報共有方法およびプログラム
CN115866315B (zh) 数据处理方法、装置、设备及计算机可读存储介质
JP7699413B2 (ja) 情報処理装置、情報処理方法、及びプログラム
CN113596599B (zh) 视频处理方法及装置、存储介质、电子装置
JP2013222406A (ja) 画像検索システム、画像検索装置およびコンピュータプログラム
CN111981975B (zh) 物体体积测量方法、装置、测量设备及存储介质
CN115292555A (zh) 数据处理方法、设备及计算机可读存储介质
CN113438541A (zh) 一种视点动画生成方法、装置、设备和存储介质
JP2016218822A (ja) 販売情報利用装置、販売情報利用方法、およびプログラム
JP7190620B2 (ja) 情報処理装置、情報配信方法、及び情報配信プログラム

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20888420

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2021556002

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20888420

Country of ref document: EP

Kind code of ref document: A1