WO2014010143A1 - Information processing device, information processing method, and program - Google Patents

Information processing device, information processing method, and program Download PDF

Info

Publication number
WO2014010143A1
WO2014010143A1 PCT/JP2013/001339 JP2013001339W WO2014010143A1 WO 2014010143 A1 WO2014010143 A1 WO 2014010143A1 JP 2013001339 W JP2013001339 W JP 2013001339W WO 2014010143 A1 WO2014010143 A1 WO 2014010143A1
Authority
WO
WIPO (PCT)
Prior art keywords
product
information processing
processing apparatus
acquisitions
products
Prior art date
Application number
PCT/JP2013/001339
Other languages
French (fr)
Japanese (ja)
Inventor
賢一 金子
克幸 永井
哲平 高杉
Original Assignee
Ｎｅｃソフト株式会社
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ソフト株式会社 filed Critical Ｎｅｃソフト株式会社
Priority to JP2014524592A priority Critical patent/JPWO2014010143A1/en
Publication of WO2014010143A1 publication Critical patent/WO2014010143A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/12—Cash registers electronically operated
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/02—Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus
    • G07F9/026—Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus for alarm, monitoring and auditing in vending machines or means for indication, e.g. when empty
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/01—Details for indicating

Definitions

  • the present invention relates to an information processing apparatus, an information processing method, and a program for generating information related to product marketing.
  • Patent Documents 1 and 2 describe that information for marketing is generated by counting the number of times a hand has been reached for a product on a product display shelf.
  • Patent Document 1 describes that the number of times a hand reaches a product and the number of products actually sold are displayed side by side.
  • Patent Document 1 describes that the number of times a hand has reached a product and the change of each number of products actually sold are displayed in the same graph.
  • the present inventor thought that marketing information from a new viewpoint can be generated by combining the number of times a product has been reached and the number of products actually sold.
  • An object of the present invention is to provide an information processing apparatus, an information processing method, and a program for generating marketing information from a new viewpoint.
  • an acquisition frequency acquisition means for acquiring an acquisition frequency that is the number of times the product has been taken from a product display shelf;
  • sales number acquisition means for acquiring the sales number of the products;
  • Correlation data generating means for generating correlation data indicating a correlation between the number of sales and the number of acquisitions;
  • a computer For a plurality of products, obtain the number of acquisitions, which is the number of times the product has been taken from the product display shelf, For each of the plurality of products, obtain the number of products sold, There is provided an information processing method for generating correlation data indicating a correlation between the number sold and the number of acquisitions.
  • a computer For a plurality of products, a function of acquiring the number of acquisitions, which is the number of times the product has been taken from the product display shelf, A function of obtaining the number of products sold for each of the plurality of products, A function of generating correlation data indicating a correlation between the number sold and the number of acquisitions; A program for realizing the above is provided.
  • new viewpoint marketing information can be generated.
  • each component of each device indicates a functional unit block, not a hardware unit configuration.
  • Each component of each device includes a CPU, memory, a program that realizes the components shown in the figure loaded in the memory, a storage medium such as a hard disk for storing the program, and a network connection interface. It is realized by any combination of software and software. There are various modifications of the implementation method and apparatus.
  • FIG. 1 is a diagram illustrating a functional configuration of the information processing apparatus 100 according to the first embodiment.
  • the information processing apparatus 100 includes an acquisition number acquisition unit 110, a sales number acquisition unit 120, and a correlation data generation unit 130.
  • the acquisition number acquisition unit 110 acquires the number of acquisitions, which is the number of times the product has been picked up from the product display shelf for each of the plurality of products.
  • the sales quantity acquisition unit 120 acquires the sales quantity of the product for each of the plurality of products.
  • the correlation data generation unit 130 generates correlation data indicating the correlation between the number sold and the number of acquisitions.
  • the correlation data generation unit 130 generates first display screen data as correlation data, for example.
  • the first display screen data is data for individually displaying information indicating a plurality of products in a graph in which one of the vertical axis and the horizontal axis is the number of acquisitions and the other is the number of sales.
  • the correlation data generation unit 130 may generate a correlation coefficient indicating the correlation between the number of sales and the number of acquisitions as correlation data.
  • FIG. 2 shows a first example of a screen displayed by the first display screen data generated by the correlation data generation unit 130.
  • the vertical axis represents the number of sales
  • the horizontal axis represents the number of acquisitions.
  • the origin is 0.
  • the sales tendency of products is classified according to the size relationship between the number of sales and the number of acquisitions.
  • FIG. 3 shows a second example of a screen displayed by the first display screen data generated by the correlation data generation unit 130.
  • the example shown in this figure is the same as the first example shown in FIG. 2 except that the origin does not mean that the number of sales and the number of acquisitions are zero.
  • the correlation data generation unit 130 uses the graph shown in this figure as, for example, a value obtained by subtracting a predetermined constant from the number of acquisitions as an X axis, and a value obtained by subtracting a predetermined constant from the number of sales as a Y axis. Can be generated.
  • the user of the information processing apparatus 100 has a plurality of graphs in which one of the vertical axis and the horizontal axis is the number of acquisitions and the other is the number of sales
  • the information indicating the product can be displayed individually. That is, the information processing apparatus 100 can generate marketing information for a new viewpoint.
  • FIG. 4 is a diagram illustrating the configuration of the information processing apparatus 100 according to the second embodiment, along with the usage environment thereof.
  • the information processing apparatus 100 according to the present embodiment acquires image data from the imaging apparatus 200 and processes the image data to calculate the number of acquisitions. Further, the information processing apparatus 100 acquires the number of sales from a POS (Point Of Sales) system 300. Then, the information processing apparatus 100 outputs the generated first screen data to the display device 400 for display. Details will be described below.
  • the imaging device 200 images a product display shelf.
  • the generated image data is output to the information processing apparatus 100.
  • the information processing apparatus 100 has the same configuration as the information processing apparatus 100 according to the first embodiment, except that the sales number acquisition unit 120, the image processing unit 140, and the history storage unit 150 are provided.
  • the sales volume acquisition unit 120 acquires the sales volume of the product from the POS system 300 in association with the product identification information for identifying the product. At this time, the sales quantity acquisition unit 120 may acquire information indicating the sex and age of the consumer who purchased the product together with the sales quantity.
  • the image processing unit 140 processes the image data transmitted from the imaging device 200 to determine whether or not the product is taken out from the product display shelf for each product.
  • the history storage unit 150 stores, for each product, the number of times that the product has been removed from the product display shelf (that is, the number of acquisitions) in association with the product identification information of the product.
  • the image processing unit 140 determines that the product has been taken out from the product display shelf, the image processing unit 140 updates the information stored in the history storage unit 150 and increases the number of times the product is acquired by one.
  • the acquisition count acquisition unit 110 reads the acquisition count from the history storage unit 150 in association with the product identification information of the product.
  • FIG. 5 is a diagram illustrating an example of information stored in the history storage unit 150 in a table format.
  • the history storage unit 150 stores the number of acquisitions in association with the product identification information.
  • This product identification information is preferably information common to the POS system 300.
  • FIG. 6 and 7 are diagrams for explaining an example of the configuration of the imaging apparatus 200.
  • the imaging device 200 is attached so as to sense the front of the product display shelf 500 (that is, in front of the opened area).
  • the imaging apparatus 200 includes an imaging unit 210 and a distance measurement unit 220. Imaging data generated by the imaging apparatus 200 is output to the information processing apparatus 100.
  • the information processing apparatus 100 may be installed, for example, in a place (for example, an office) away from the commodity display shelf 500.
  • the imaging device 200 is attached above the commodity display shelf 500 as shown in FIGS. In this case, it is possible to suppress the movement of a person from being hindered by the imaging device 200. However, the imaging device 200 may be attached to the side of the commodity display shelf 500.
  • the imaging unit 210 images the front of the product display shelf 500.
  • the distance measuring unit 220 calculates the distance from the distance measuring unit 220 to the hand positioned in front of the merchandise display shelf 500 (for example, the distance in the Y direction in FIG. 6: the position of the hand in the first direction).
  • the distance measurement unit 220 is a distance sensor using infrared rays, for example, but may be a distance sensor using ultrasonic waves.
  • the image data generated by the imaging unit 210 and the distance calculated by the distance measuring unit 220 are output to the information processing apparatus 100.
  • the image processing unit 140 of the information processing apparatus 100 analyzes image data captured by the imaging unit 210 and calculates an angle of a straight line connecting the imaging unit 210 and the hand. Then, the image processing unit 140 of the information processing apparatus 100 identifies the arrangement area 510 where the hand has been extended based on the analysis result of the image data and the measurement result of the distance measurement unit 220.
  • FIG. 8 is a diagram illustrating an example of the configuration of the image processing unit 140.
  • the image processing unit 140 includes an image analysis unit 142, an acquisition determination unit 144, and a region information storage unit 146.
  • the image analysis unit 142 analyzes the image data captured by the imaging unit 210 and calculates the angle of a straight line connecting the imaging unit 210 and the hand.
  • the image analysis unit 142 can distinguish the hand and other objects (for example, the head and the eyelid) with high accuracy.
  • the center of the image data is set as the origin (0 point) of this angle, but other points may be set as the origin.
  • the image analysis unit 142 determines whether or not a product has been taken out by image processing.
  • the area information storage unit 146 includes, for each of a plurality of product identification information, a hand position range (for example, X coordinate) in the calculation result of the image analysis unit 142 and a hand distance (for example, Y coordinate) in the measurement result of the distance measurement unit 220. Each range is stored.
  • the acquisition determination unit 144 retrieves the combination of the calculation result from the image analysis unit 142 and the measurement result from the distance measurement unit 220 from the product display shelf 500 by associating the combination with the information stored in the area information storage unit 146.
  • the product identification information of the product can be recognized.
  • FIG. 9 is a diagram showing the information stored in the area information storage unit 146 in a table format.
  • the area information storage unit 146 includes, for each of a plurality of product identification information, a hand position range (for example, X coordinate) in the calculation result of the image analysis unit 142 and a hand distance (for example, Y coordinate) in the measurement result of the distance measurement unit 220. Each range is stored. Then, the acquisition determination unit 144 retrieves the combination of the calculation result from the image analysis unit 142 and the measurement result from the distance measurement unit 220 from the product display shelf 500 by associating the combination with the information stored in the area information storage unit 146. It is possible to recognize the product identification information of the product.
  • a hand position range for example, X coordinate
  • a hand distance for example, Y coordinate
  • FIG. 10 is a diagram illustrating a configuration of the imaging apparatus 200 used in the third embodiment.
  • the imaging apparatus 200 according to the present embodiment has the same configuration as that of the imaging apparatus 200 used in the second embodiment, except that an irradiation unit 232 and a detection unit 234 are provided.
  • the irradiation unit 232 emits dot-like infrared rays or ultrasonic waves while scanning the front of the product display shelf 500.
  • the detection unit 234 detects infrared or ultrasonic reflected waves emitted by the irradiation unit 232.
  • the detection unit 234 outputs the detection result of the reflected wave to the imaging unit 210 and the distance measurement unit 220.
  • the detection unit 234 measures the time until the reflected wave is detected after the irradiation unit 232 irradiates infrared rays or ultrasonic waves.
  • the distance measurement unit 220 receives the measured time from the detection unit 234. Further, the imaging unit 210 and the distance measuring unit 220 receive the direction in which the irradiation unit 232 has irradiated infrared rays or ultrasonic waves from the irradiation unit 232 or the detection unit 234.
  • the imaging unit 210 generates image data based on the detection result of the reflected wave by the detection unit 234 and the direction in which the irradiation unit 232 radiates infrared rays or ultrasonic waves. Then, the imaging unit 210 calculates the angle of a straight line connecting the imaging unit 210 and the hand by analyzing the generated image data. Also in this embodiment, for example, the center of the image data is set as the origin (0 point) of this angle, but other points may be set as the origin. This calculation result is output to the image processing unit 140 of the information processing apparatus 100.
  • the distance measuring unit 220 has a first direction (based on the time from when the irradiation unit 232 irradiates infrared rays or ultrasonic waves to when the reflected wave is detected and the direction in which the irradiation unit 232 emits infrared rays or ultrasonic waves.
  • the hand position in the Y direction in the figure is calculated. This calculation result is output to the image processing unit 140 of the information processing apparatus 100.
  • FIG. 11 is a diagram illustrating a configuration of an imaging apparatus 200 used in the fourth embodiment.
  • the imaging apparatus 200 according to the present embodiment has the same configuration as that of the imaging apparatus 200 according to the third embodiment except that a color image generation unit 236 is provided.
  • the color image generation unit 236 generates color image data in front of the merchandise display shelf 500 and outputs the generated color image data to the information processing apparatus 100.
  • the image processing unit 140 of the information processing apparatus 100 uses the color information of the received color image data to determine whether or not the hand detected by the imaging unit 210 is a false detection, that is, whether the object detected by the imaging unit 210 is a hand. Judge whether or not.
  • the same effect as that of the third embodiment can be obtained. Moreover, it can suppress misdetecting that the other object (for example, head etc.) located in front of the goods display shelf 500 with a hand.
  • the other object for example, head etc.
  • FIG. 12 is a diagram illustrating a functional configuration of the information processing apparatus 100 according to the fifth embodiment.
  • the information processing apparatus 100 according to the present embodiment is the same as any one of the second to fourth embodiments except for the following points.
  • the example shown in this figure shows the same case as in the second embodiment.
  • the image processing unit 140 analyzes the image data received from the imaging device 200 to determine whether or not the product is returned to the product display shelf 500 after being picked up by the hand. Then, the image processing unit 140 calculates the time that the product has been picked up when the product is returned to the product display shelf 500. The calculated time is stored in the history storage unit 150 for each product.
  • the information processing apparatus 100 includes an analysis unit 160 (a first analysis unit and a second analysis unit).
  • the analysis unit 160 analyzes the information read by the acquisition count acquisition unit 110 from the history storage unit 150 and the sales number acquired by the sales number acquisition unit 120. For example, the analysis unit 160 calculates the difference between the number of acquisitions read from the history storage unit 150 and the number sold. Further, the analysis unit 160 calculates at least one of the average value and the standard deviation of the time when the product is picked up, which is read from the history storage unit 150.
  • the correlation data generation unit 130 displays the second display screen data (second display screen data and third display screen data) for displaying a screen including information indicating the analysis result of the analysis unit 160 as shown in FIG. Generated separately from screen data.
  • FIG. 13 is a diagram showing data stored in the history storage unit 150 in a table format.
  • the history storage unit 150 stores the number of times of acquisition and the time that the product has been picked up by product identification information. The time when the product has been picked up is stored in an unprocessed state.
  • FIG. 14 shows an example of a screen displayed by the display device 400 according to the second display screen data.
  • the display device 400 displays, for each product name, the number of acquisitions, the number of sales, the difference between the number of acquisitions and the number of sales, and the average value and standard deviation of the time when the product was taken.
  • the correlation data generation unit 130 reads the product name from, for example, a table in which product identification information is associated with the product name.
  • the same effect as in any of the second to fourth embodiments can be obtained. Further, since the average value and the standard deviation of the time when the merchandise is picked up are displayed on the display device 400, it is possible to grasp how much the merchandise is interested in the consumer. For example, when the standard deviation is large, the user of the information processing apparatus 100 can determine that there is a possibility that the display location does not match the attribute of the product.

Landscapes

  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Data Mining & Analysis (AREA)
  • Game Theory and Decision Science (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A number-of-acquisitions acquisition unit (110) acquires, for each of a plurality of the products, a number of acquisitions, which is the number of times that the product has been removed by hand from the product display shelf. A number-of-sales acquisition unit (120) acquires, for each of a plurality of the products, the number of sales for this product. A correlation data generation unit (130) generates a first display screen data. The first display screen data is for individually displaying information indicating a plurality of the products in a graph in which either the vertical axis or the horizontal axis is the number of acquisitions, and the other axis is the number of sales.

Description

情報処理装置、情報処理方法、及びプログラムInformation processing apparatus, information processing method, and program
　本発明は、商品のマーケティングに関する情報を生成する情報処理装置、情報処理方法、及びプログラムに関する。 The present invention relates to an information processing apparatus, an information processing method, and a program for generating information related to product marketing.
　商品のマーケティングに用いる情報の一つに、商品別の販売個数の履歴がある。一方、特許文献１及び２には、商品陳列棚の商品に手が伸ばされた回数をカウントすることにより、マーケティングのための情報を生成することが記載されている。特に特許文献１には、商品に手が伸びた回数と、実際に販売された商品の個数とを並べて表示することが記載されている。さらに特許文献１には、商品に手が伸びた回数と、実際に販売された商品の個数それぞれの時刻別の変化を同一のグラフ内に表示ことが記載されている。 One of the information used for product marketing is the history of sales volume by product. On the other hand, Patent Documents 1 and 2 describe that information for marketing is generated by counting the number of times a hand has been reached for a product on a product display shelf. In particular, Patent Document 1 describes that the number of times a hand reaches a product and the number of products actually sold are displayed side by side. Furthermore, Patent Document 1 describes that the number of times a hand has reached a product and the change of each number of products actually sold are displayed in the same graph.
特開２００７－３２３４７１号公報JP 2007-323471 A 特開２００９－１２６６６０号公報JP 2009-126660 A
　本発明者は、商品に手が伸ばされた回数と、実際に販売された商品の回数とを組み合わせると、新たな視点のマーケティング情報を生成できると考えた。 The present inventor thought that marketing information from a new viewpoint can be generated by combining the number of times a product has been reached and the number of products actually sold.
　本発明の目的は、新たな視点のマーケティング情報を生成する情報処理装置、情報処理方法、及びプログラムを提供することにある。 An object of the present invention is to provide an information processing apparatus, an information processing method, and a program for generating marketing information from a new viewpoint.
　本発明によれば、複数の前記商品別に、前記商品が商品陳列棚から手に取られた回数である取得回数を取得する取得回数取得手段と、
　前記複数の商品別に、前記商品の販売個数を取得する販売個数取得手段と、
　前記販売個数と前記取得回数との相関を示す相関データを生成する相関データ生成手段と、
を備える情報処理装置が提供される。 According to the present invention, for each of the plurality of products, an acquisition frequency acquisition means for acquiring an acquisition frequency that is the number of times the product has been taken from a product display shelf;
For each of the plurality of products, sales number acquisition means for acquiring the sales number of the products;
Correlation data generating means for generating correlation data indicating a correlation between the number of sales and the number of acquisitions;
An information processing apparatus is provided.
　本発明によれば、コンピュータが、
　　複数の商品別に、前記商品が商品陳列棚から手に取られた回数である取得回数を取得し、
　　前記複数の商品別に、前記商品の販売個数を取得し、
　　前記販売個数と前記取得回数との相関を示す相関データを生成する情報処理方法が提供される。 According to the present invention, a computer
For a plurality of products, obtain the number of acquisitions, which is the number of times the product has been taken from the product display shelf,
For each of the plurality of products, obtain the number of products sold,
There is provided an information processing method for generating correlation data indicating a correlation between the number sold and the number of acquisitions.
　本発明によれば、コンピュータに、
　　複数の商品別に、前記商品が商品陳列棚から手に取られた回数である取得回数を取得する機能と、
　　前記複数の商品別に、前記商品の販売個数を取得する機能と、
　　前記販売個数と前記取得回数との相関を示す相関データを生成する機能と、
を実現させるプログラムが提供される。 According to the present invention, a computer
For a plurality of products, a function of acquiring the number of acquisitions, which is the number of times the product has been taken from the product display shelf,
A function of obtaining the number of products sold for each of the plurality of products,
A function of generating correlation data indicating a correlation between the number sold and the number of acquisitions;
A program for realizing the above is provided.
　本発明によれば、新たな視点のマーケティング情報を生成することができる。 According to the present invention, new viewpoint marketing information can be generated.
　上述した目的、およびその他の目的、特徴および利点は、以下に述べる好適な実施の形態、およびそれに付随する以下の図面によってさらに明らかになる。 The above-described object and other objects, features, and advantages will be further clarified by a preferred embodiment described below and the following drawings attached thereto.
第１の実施形態に係る情報処理装置の機能構成を示す図である。It is a figure which shows the function structure of the information processing apparatus which concerns on 1st Embodiment. 第１表示画面データによって表示される画面の第１例を示す図である。It is a figure which shows the 1st example of the screen displayed by 1st display screen data. 第１表示画面データによって表示される画面の第２例を示す図である。It is a figure which shows the 2nd example of the screen displayed by 1st display screen data. 第２の実施形態に係る情報処理装置の構成を、その使用環境とともに示す図である。It is a figure which shows the structure of the information processing apparatus which concerns on 2nd Embodiment with the use environment. 履歴記憶部が記憶している情報の一例をテーブル形式で示す図である。It is a figure which shows an example of the information which the log | history memory | storage part has memorize | stored in a table format. 撮像装置の構成の一例を説明するための図である。It is a figure for demonstrating an example of a structure of an imaging device. 撮像装置の構成の一例を説明するための図である。It is a figure for demonstrating an example of a structure of an imaging device. 画像処理部の構成の一例を示す図である。It is a figure which shows an example of a structure of an image process part. 領域情報記憶部が記憶している情報をテーブル形式で示す図である。It is a figure which shows the information which the area | region information storage part has memorize | stored in a table format. 第３の実施形態で用いられる撮像装置の構成を示す図である。It is a figure which shows the structure of the imaging device used by 3rd Embodiment. 第４の実施形態で用いられる撮像装置の構成を示す図である。It is a figure which shows the structure of the imaging device used in 4th Embodiment. 第５の実施形態に係る情報処理装置の機能構成を示す図である。It is a figure which shows the function structure of the information processing apparatus which concerns on 5th Embodiment. 履歴記憶部が記憶しているデータをテーブル形式で示す図である。It is a figure which shows the data which the log | history memory | storage part has memorize | stored in a table format. 第２表示画面データに従って表示された画面の一例を示す図である。It is a figure which shows an example of the screen displayed according to 2nd display screen data.
　以下、本発明の実施の形態について、図面を用いて説明する。尚、すべての図面において、同様な構成要素には同様の符号を付し、適宜説明を省略する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all the drawings, the same reference numerals are given to the same components, and the description will be omitted as appropriate.
　なお、以下に示す説明において、各装置の各構成要素は、ハードウエア単位の構成ではなく、機能単位のブロックを示している。各装置の各構成要素は、任意のコンピュータのＣＰＵ、メモリ、メモリにロードされた本図の構成要素を実現するプログラム、そのプログラムを格納するハードディスクなどの記憶メディア、ネットワーク接続用インタフェースを中心にハードウエアとソフトウエアの任意の組合せによって実現される。そして、その実現方法、装置には様々な変形例がある。 In the following description, each component of each device indicates a functional unit block, not a hardware unit configuration. Each component of each device includes a CPU, memory, a program that realizes the components shown in the figure loaded in the memory, a storage medium such as a hard disk for storing the program, and a network connection interface. It is realized by any combination of software and software. There are various modifications of the implementation method and apparatus.
（第１の実施形態）
　図１は、第１の実施形態に係る情報処理装置１００の機能構成を示す図である。本実施形態に係る情報処理装置１００は、取得回数取得部１１０、販売個数取得部１２０、及び相関データ生成部１３０を備えている。取得回数取得部１１０は、複数の前記商品別に、前記商品が商品陳列棚から手に取られた回数である取得回数を取得する。販売個数取得部１２０は、複数の商品別に、その商品の販売個数を取得する。相関データ生成部１３０は、販売個数と取得回数との相関を示す相関データを生成する。相関データ生成部１３０は、例えば相関データとして、第１表示画面データを生成する。第１表示画面データは、縦軸及び横軸の一方が取得回数であって他方が販売個数であるグラフ内に、複数の商品を示す情報を個別に表示するためのデータである。また相関データ生成部１３０は、販売個数と取得回数との相関を示す相関係数を、相関データとして生成しても良い。 (First embodiment)
FIG. 1 is a diagram illustrating a functional configuration of the information processing apparatus 100 according to the first embodiment. The information processing apparatus 100 according to the present embodiment includes an acquisition number acquisition unit 110, a sales number acquisition unit 120, and a correlation data generation unit 130. The acquisition number acquisition unit 110 acquires the number of acquisitions, which is the number of times the product has been picked up from the product display shelf for each of the plurality of products. The sales quantity acquisition unit 120 acquires the sales quantity of the product for each of the plurality of products. The correlation data generation unit 130 generates correlation data indicating the correlation between the number sold and the number of acquisitions. The correlation data generation unit 130 generates first display screen data as correlation data, for example. The first display screen data is data for individually displaying information indicating a plurality of products in a graph in which one of the vertical axis and the horizontal axis is the number of acquisitions and the other is the number of sales. The correlation data generation unit 130 may generate a correlation coefficient indicating the correlation between the number of sales and the number of acquisitions as correlation data.
　図２は、相関データ生成部１３０が生成する第１表示画面データによって表示される画面の第１例を示している。本図に示す例において、縦軸は販売個数であり、横軸は取得回数である。そして原点は、０である。本図に示すように、販売個数と取得回数の大小関係によって、商品の販売傾向は分類される。 FIG. 2 shows a first example of a screen displayed by the first display screen data generated by the correlation data generation unit 130. In the example shown in the figure, the vertical axis represents the number of sales, and the horizontal axis represents the number of acquisitions. The origin is 0. As shown in this figure, the sales tendency of products is classified according to the size relationship between the number of sales and the number of acquisitions.
　まず図２の領域（Ａ）に示すように、販売個数及び取得回数の双方が多い場合、その商品は消費者に興味を持たれ、かつ実際に消費者に購入されたことを意味している。 First, as shown in the area (A) of FIG. 2, when both the sales quantity and the number of acquisitions are large, it means that the product is interested in the consumer and actually purchased by the consumer. .
　これに対し、図２の領域（Ｂ）に示すように、取得回数が多いが販売個数が少ない場合、その商品は消費者に興味を持たれたが、消費者には購入されにくいことを意味している。このような場合、その商品は、少しの改善で販売個数が増える可能性を有している。 On the other hand, as shown in the area (B) of FIG. 2, when the number of acquisitions is large but the number of sales is small, it means that the product is interested in the consumer, but is not easily purchased by the consumer. is doing. In such a case, the product has a possibility of increasing the number of units sold with a slight improvement.
　また図２の領域（Ｃ）に示すように、販売個数及び取得回数の双方が少ない場合、その商品は、消費者に興味をもたれず、かつ消費者にも購入されていないことを意味している。このような場合、その商品は、陳列場所がその商品の属性に合っていない可能性を有している。 Also, as shown in the area (C) of FIG. 2, when both the sales quantity and the number of acquisitions are small, it means that the product is not interested in the consumer and has not been purchased by the consumer. Yes. In such a case, the product has a possibility that the display location does not match the attribute of the product.
　図３は、相関データ生成部１３０が生成する第１表示画面データによって表示される画面の第２例を示している。本図に示す例は、原点が販売個数及び取得回数が０であることを意味していない点を除いて、図２に示した第１例と同様である。相関データ生成部１３０は、本図に示すグラフを、例えば、取得回数から予め定められた定数を差し引いた値をＸ軸として、かつ、販売個数から予め定められた定数を差し引いた値をＹ軸とすることにより、生成することができる。 FIG. 3 shows a second example of a screen displayed by the first display screen data generated by the correlation data generation unit 130. The example shown in this figure is the same as the first example shown in FIG. 2 except that the origin does not mean that the number of sales and the number of acquisitions are zero. The correlation data generation unit 130 uses the graph shown in this figure as, for example, a value obtained by subtracting a predetermined constant from the number of acquisitions as an X axis, and a value obtained by subtracting a predetermined constant from the number of sales as a Y axis. Can be generated.
　以上、本実施形態によれば、情報処理装置１００を用いることにより、情報処理装置１００のユーザは、縦軸及び横軸の一方が取得回数であって他方が販売個数であるグラフ内に、複数の商品を示す情報を個別に表示することができる。すなわち、情報処理装置１００は、新たな視点のマーケティング情報を生成することができる。 As described above, according to the present embodiment, by using the information processing apparatus 100, the user of the information processing apparatus 100 has a plurality of graphs in which one of the vertical axis and the horizontal axis is the number of acquisitions and the other is the number of sales The information indicating the product can be displayed individually. That is, the information processing apparatus 100 can generate marketing information for a new viewpoint.
（第２の実施形態）
　図４は、第２の実施形態に係る情報処理装置１００の構成を、その使用環境とともに示す図である。本実施形態に係る情報処理装置１００は、撮像装置２００から画像データを取得し、この画像データを処理することにより、取得回数を算出する。また情報処理装置１００は、ＰＯＳ（Point Of Sales）システム３００から販売個数を取得する。そして情報処理装置１００は、生成した第１画面データを表示装置４００に出力して表示させる。以下、詳細に説明する。 (Second Embodiment)
FIG. 4 is a diagram illustrating the configuration of the information processing apparatus 100 according to the second embodiment, along with the usage environment thereof. The information processing apparatus 100 according to the present embodiment acquires image data from the imaging apparatus 200 and processes the image data to calculate the number of acquisitions. Further, the information processing apparatus 100 acquires the number of sales from a POS (Point Of Sales) system 300. Then, the information processing apparatus 100 outputs the generated first screen data to the display device 400 for display. Details will be described below.
　本実施形態において、撮像装置２００は、商品陳列棚を撮像している。そして、生成した画像データを情報処理装置１００に出力している。 In the present embodiment, the imaging device 200 images a product display shelf. The generated image data is output to the information processing apparatus 100.
　情報処理装置１００は、販売個数取得部１２０、画像処理部１４０、及び履歴記憶部１５０を備えている点を除いて、第１の実施形態に係る情報処理装置１００と同様の構成である。 The information processing apparatus 100 has the same configuration as the information processing apparatus 100 according to the first embodiment, except that the sales number acquisition unit 120, the image processing unit 140, and the history storage unit 150 are provided.
　販売個数取得部１２０は、ＰＯＳシステム３００から、商品の販売個数を、その商品を識別する商品識別情報に対応付けて取得する。このとき販売個数取得部１２０は、販売個数と共に、その商品を購入した消費者の性別及び年齢を示す情報を取得しても良い。 The sales volume acquisition unit 120 acquires the sales volume of the product from the POS system 300 in association with the product identification information for identifying the product. At this time, the sales quantity acquisition unit 120 may acquire information indicating the sex and age of the consumer who purchased the product together with the sales quantity.
　画像処理部１４０は、撮像装置２００から送信されてきた画像データを処理することにより、商品陳列棚から商品が取り出されたか否かを、商品別に判断する。履歴記憶部１５０は、商品別に、その商品が商品陳列棚から取り出された回数（すなわち取得回数）を、その商品の商品識別情報に対応付けて記憶している。画像処理部１４０は、商品陳列棚から商品が取り出されたと判断した場合、履歴記憶部１５０が記憶している情報を更新し、その商品の取得回数を一つ増やす。取得回数取得部１１０は、履歴記憶部１５０から取得回数を、その商品の商品識別情報に対応付けて読み出す。 The image processing unit 140 processes the image data transmitted from the imaging device 200 to determine whether or not the product is taken out from the product display shelf for each product. The history storage unit 150 stores, for each product, the number of times that the product has been removed from the product display shelf (that is, the number of acquisitions) in association with the product identification information of the product. When the image processing unit 140 determines that the product has been taken out from the product display shelf, the image processing unit 140 updates the information stored in the history storage unit 150 and increases the number of times the product is acquired by one. The acquisition count acquisition unit 110 reads the acquisition count from the history storage unit 150 in association with the product identification information of the product.
　図５は、履歴記憶部１５０が記憶している情報の一例をテーブル形式で示す図である。本図に示す例において、履歴記憶部１５０は、取得回数を商品識別情報に対応付けて記憶している。この商品識別情報は、ＰＯＳシステム３００と共通の情報であるのが好ましい。 FIG. 5 is a diagram illustrating an example of information stored in the history storage unit 150 in a table format. In the example shown in the figure, the history storage unit 150 stores the number of acquisitions in association with the product identification information. This product identification information is preferably information common to the POS system 300.
　図６，７は、撮像装置２００の構成の一例を説明するための図である。本図に示す例において、撮像装置２００は、商品陳列棚５００の前方（すなわち開口されている領域の前）をセンシングするように取り付けられる。撮像装置２００は、撮像部２１０及び距離測定部２２０を有している。撮像装置２００が生成した撮像データは、情報処理装置１００に出力される。情報処理装置１００は、例えば商品陳列棚５００から離れた場所（例えば事務室）に設置されてもよい。撮像装置２００は、例えば図６，７に示すように、商品陳列棚５００の上方に取り付けられる。この場合、撮像装置２００によって人の動きが妨げられることを抑制できる。ただし撮像装置２００は、商品陳列棚５００の側方に取り付けられても良い。 6 and 7 are diagrams for explaining an example of the configuration of the imaging apparatus 200. FIG. In the example shown in this figure, the imaging device 200 is attached so as to sense the front of the product display shelf 500 (that is, in front of the opened area). The imaging apparatus 200 includes an imaging unit 210 and a distance measurement unit 220. Imaging data generated by the imaging apparatus 200 is output to the information processing apparatus 100. The information processing apparatus 100 may be installed, for example, in a place (for example, an office) away from the commodity display shelf 500. The imaging device 200 is attached above the commodity display shelf 500 as shown in FIGS. In this case, it is possible to suppress the movement of a person from being hindered by the imaging device 200. However, the imaging device 200 may be attached to the side of the commodity display shelf 500.
　撮像部２１０は、商品陳列棚５００の前方を撮像する。距離測定部２２０は、距離測定部２２０から、商品陳列棚５００の前方に位置する手までの距離（例えば図６におけるＹ方向の距離:第１の方向における手の位置）を算出する。距離測定部２２０は、例えば赤外線を用いた距離センサであるが、超音波を用いた距離センサであっても良い。撮像部２１０によって生成された画像データ、及び距離測定部２２０が算出した距離は、情報処理装置１００に出力される。 The imaging unit 210 images the front of the product display shelf 500. The distance measuring unit 220 calculates the distance from the distance measuring unit 220 to the hand positioned in front of the merchandise display shelf 500 (for example, the distance in the Y direction in FIG. 6: the position of the hand in the first direction). The distance measurement unit 220 is a distance sensor using infrared rays, for example, but may be a distance sensor using ultrasonic waves. The image data generated by the imaging unit 210 and the distance calculated by the distance measuring unit 220 are output to the information processing apparatus 100.
　情報処理装置１００の画像処理部１４０は、撮像部２１０が撮像した画像データを解析し、撮像部２１０と手を結ぶ直線の角度を算出する。そして情報処理装置１００の画像処理部１４０は、画像データの解析結果、及び距離測定部２２０の測定結果に基づいて、手が伸ばされた配置領域５１０を特定する。 The image processing unit 140 of the information processing apparatus 100 analyzes image data captured by the imaging unit 210 and calculates an angle of a straight line connecting the imaging unit 210 and the hand. Then, the image processing unit 140 of the information processing apparatus 100 identifies the arrangement area 510 where the hand has been extended based on the analysis result of the image data and the measurement result of the distance measurement unit 220.
　図８は、画像処理部１４０の構成の一例を示す図である。画像処理部１４０は、画像解析部１４２、取得判断部１４４、及び領域情報記憶部１４６を有している。 FIG. 8 is a diagram illustrating an example of the configuration of the image processing unit 140. The image processing unit 140 includes an image analysis unit 142, an acquisition determination unit 144, and a region information storage unit 146.
　画像解析部１４２は、撮像部２１０が撮像した画像データを解析して、撮像部２１０と手を結ぶ直線の角度を算出する。ここで画像解析部１４２は、画像データから特定される物体の形状情報（輪郭情報）を用いると、手と他の物体（例えば頭や鞄など）を高い精度で区別することができる。なお、例えば画像データの中心がこの角度の原点（０点）として設定されているが、他の点が原点として設定されていても良い。さらに画像解析部１４２は、画像処理によって、商品が取り出されたか否かを判断する。 The image analysis unit 142 analyzes the image data captured by the imaging unit 210 and calculates the angle of a straight line connecting the imaging unit 210 and the hand. Here, using the shape information (contour information) of the object specified from the image data, the image analysis unit 142 can distinguish the hand and other objects (for example, the head and the eyelid) with high accuracy. For example, the center of the image data is set as the origin (0 point) of this angle, but other points may be set as the origin. Further, the image analysis unit 142 determines whether or not a product has been taken out by image processing.
　領域情報記憶部１４６は、複数の商品識別情報別に、画像解析部１４２の算出結果における手の位置の範囲（例えばＸ座標）、及び距離測定部２２０の測定結果における手の距離（例えばＹ座標）の範囲をそれぞれ記憶している。 The area information storage unit 146 includes, for each of a plurality of product identification information, a hand position range (for example, X coordinate) in the calculation result of the image analysis unit 142 and a hand distance (for example, Y coordinate) in the measurement result of the distance measurement unit 220. Each range is stored.
　取得判断部１４４は、画像解析部１４２による算出結果及び距離測定部２２０による測定結果の組み合わせを、領域情報記憶部１４６が記憶している情報に対応させることにより、商品陳列棚５００から取り出された商品の商品識別情報を認識することができる。 The acquisition determination unit 144 retrieves the combination of the calculation result from the image analysis unit 142 and the measurement result from the distance measurement unit 220 from the product display shelf 500 by associating the combination with the information stored in the area information storage unit 146. The product identification information of the product can be recognized.
　図９は、領域情報記憶部１４６が記憶している情報をテーブル形式で示す図である。領域情報記憶部１４６は、複数の商品識別情報別に、画像解析部１４２の算出結果における手の位置の範囲（例えばＸ座標）、及び距離測定部２２０の測定結果における手の距離（例えばＹ座標）の範囲をそれぞれ記憶している。そして取得判断部１４４は、画像解析部１４２による算出結果及び距離測定部２２０による測定結果の組み合わせを、領域情報記憶部１４６が記憶している情報に対応させることにより、商品陳列棚５００から取り出された商品の商品識別情報を認識することができる。 FIG. 9 is a diagram showing the information stored in the area information storage unit 146 in a table format. The area information storage unit 146 includes, for each of a plurality of product identification information, a hand position range (for example, X coordinate) in the calculation result of the image analysis unit 142 and a hand distance (for example, Y coordinate) in the measurement result of the distance measurement unit 220. Each range is stored. Then, the acquisition determination unit 144 retrieves the combination of the calculation result from the image analysis unit 142 and the measurement result from the distance measurement unit 220 from the product display shelf 500 by associating the combination with the information stored in the area information storage unit 146. It is possible to recognize the product identification information of the product.
　本実施形態によっても、第１の実施形態と同様の効果を得ることができる。 Also in this embodiment, the same effect as that of the first embodiment can be obtained.
（第３の実施形態）
　図１０は、第３の実施形態で用いられる撮像装置２００の構成を示す図である。本実施形態に係る撮像装置２００は、照射部２３２及び検出部２３４を備えている点を除いて、第２の実施形態で用いられた撮像装置２００と同様の構成である。 (Third embodiment)
FIG. 10 is a diagram illustrating a configuration of the imaging apparatus 200 used in the third embodiment. The imaging apparatus 200 according to the present embodiment has the same configuration as that of the imaging apparatus 200 used in the second embodiment, except that an irradiation unit 232 and a detection unit 234 are provided.
　照射部２３２は、ドット状の赤外線又は超音波を、商品陳列棚５００の前方にスキャンしながら照射する。検出部２３４は、照射部２３２が照射した赤外線又は超音波の反射波を検出する。検出部２３４は、反射波の検出結果を、撮像部２１０及び距離測定部２２０に出力する。 The irradiation unit 232 emits dot-like infrared rays or ultrasonic waves while scanning the front of the product display shelf 500. The detection unit 234 detects infrared or ultrasonic reflected waves emitted by the irradiation unit 232. The detection unit 234 outputs the detection result of the reflected wave to the imaging unit 210 and the distance measurement unit 220.
　このとき検出部２３４は、照射部２３２が赤外線又は超音波を照射してから、反射波を検出するまでの時間を測定する。距離測定部２２０は、この測定された時間を検出部２３４から受信する。また撮像部２１０及び距離測定部２２０は、照射部２３２が赤外線又は超音波を照射した方向を、照射部２３２又は検出部２３４から受信する。 At this time, the detection unit 234 measures the time until the reflected wave is detected after the irradiation unit 232 irradiates infrared rays or ultrasonic waves. The distance measurement unit 220 receives the measured time from the detection unit 234. Further, the imaging unit 210 and the distance measuring unit 220 receive the direction in which the irradiation unit 232 has irradiated infrared rays or ultrasonic waves from the irradiation unit 232 or the detection unit 234.
　撮像部２１０は、検出部２３４による反射波の検出結果、及び照射部２３２が赤外線又は超音波を照射した方向に基づいて、画像データを生成する。そして撮像部２１０は、生成した画像データを解析することにより、撮像部２１０と手を結ぶ直線の角度を算出する。本実施形態においても、例えば画像データの中心がこの角度の原点（０点）として設定されているが、他の点が原点として設定されていても良い。この算出結果は、情報処理装置１００の画像処理部１４０に出力される。 The imaging unit 210 generates image data based on the detection result of the reflected wave by the detection unit 234 and the direction in which the irradiation unit 232 radiates infrared rays or ultrasonic waves. Then, the imaging unit 210 calculates the angle of a straight line connecting the imaging unit 210 and the hand by analyzing the generated image data. Also in this embodiment, for example, the center of the image data is set as the origin (0 point) of this angle, but other points may be set as the origin. This calculation result is output to the image processing unit 140 of the information processing apparatus 100.
　距離測定部２２０は、照射部２３２が赤外線又は超音波を照射してから反射波を検出するまでの時間、及び照射部２３２が赤外線又は超音波を照射した方向に基づいて、第１の方向（図中Ｙ方向）における手の位置を算出する。この算出結果は、情報処理装置１００の画像処理部１４０に出力される。 The distance measuring unit 220 has a first direction (based on the time from when the irradiation unit 232 irradiates infrared rays or ultrasonic waves to when the reflected wave is detected and the direction in which the irradiation unit 232 emits infrared rays or ultrasonic waves. The hand position in the Y direction in the figure is calculated. This calculation result is output to the image processing unit 140 of the information processing apparatus 100.
　本実施形態によっても、第２の実施形態と同様の効果を得ることができる。 Also in this embodiment, the same effect as that of the second embodiment can be obtained.
（第４の実施形態）
　図１１は、第４の実施形態で用いられる撮像装置２００の構成を示す図である。本実施形態に係る撮像装置２００は、カラー画像生成部２３６を備える点を除いて、第３の実施形態に係る撮像装置２００と同様の構成である。 (Fourth embodiment)
FIG. 11 is a diagram illustrating a configuration of an imaging apparatus 200 used in the fourth embodiment. The imaging apparatus 200 according to the present embodiment has the same configuration as that of the imaging apparatus 200 according to the third embodiment except that a color image generation unit 236 is provided.
　カラー画像生成部２３６は、商品陳列棚５００の前方のカラー画像データを生成し、生成したカラー画像データを情報処理装置１００に出力する。情報処理装置１００の画像処理部１４０は、受信したカラー画像データの色情報を用いて、撮像部２１０が検出した手が誤検出か否か、すなわち撮像部２１０が検出した物体が手であるか否かを判断する。 The color image generation unit 236 generates color image data in front of the merchandise display shelf 500 and outputs the generated color image data to the information processing apparatus 100. The image processing unit 140 of the information processing apparatus 100 uses the color information of the received color image data to determine whether or not the hand detected by the imaging unit 210 is a false detection, that is, whether the object detected by the imaging unit 210 is a hand. Judge whether or not.
　本実施形態によっても、第３の実施形態と同様の効果を得ることができる。また、商品陳列棚５００の手前に位置する他の物体（例えば頭など）を手と誤検知することを抑制できる。 Also according to this embodiment, the same effect as that of the third embodiment can be obtained. Moreover, it can suppress misdetecting that the other object (for example, head etc.) located in front of the goods display shelf 500 with a hand.
　（第５の実施形態）
　図１２は、第５の実施形態に係る情報処理装置１００の機能構成を示す図である。本実施形態に係る情報処理装置１００は、以下の点を除いて、第２～第４の実施形態のいずれかと同様である。本図に示す例は、第２の実施形態と同様の場合を示している。 (Fifth embodiment)
FIG. 12 is a diagram illustrating a functional configuration of the information processing apparatus 100 according to the fifth embodiment. The information processing apparatus 100 according to the present embodiment is the same as any one of the second to fourth embodiments except for the following points. The example shown in this figure shows the same case as in the second embodiment.
　まず画像処理部１４０は、撮像装置２００から受信した画像データを解析することにより、商品が手に取られた後に商品陳列棚５００に戻されたか否かを判断する。そして画像処理部１４０は、商品が商品陳列棚５００に戻されたときには商品が手に取られていた時間を算出する。算出された時間は、履歴記憶部１５０に商品別に記憶される。 First, the image processing unit 140 analyzes the image data received from the imaging device 200 to determine whether or not the product is returned to the product display shelf 500 after being picked up by the hand. Then, the image processing unit 140 calculates the time that the product has been picked up when the product is returned to the product display shelf 500. The calculated time is stored in the history storage unit 150 for each product.
　また情報処理装置１００は、分析部１６０（第１分析部及び第２分析部）を有している。分析部１６０は、取得回数取得部１１０が履歴記憶部１５０から読み出した情報と、販売個数取得部１２０が取得した販売個数とを分析する。例えば分析部１６０は、履歴記憶部１５０から読み出された取得回数と、販売個数との差を算出する。また分析部１６０は、履歴記憶部１５０から読み出された、その商品が手に取られていた時間の平均値及び標準偏差の少なくとも一方を算出する。相関データ生成部１３０は、分析部１６０の分析結果を示す情報を含む画面を表示させるための第２表示画面データ（第２表示画面データ及び第３表示画面データ）を、図２に示した表示画面データとは別に生成する。 In addition, the information processing apparatus 100 includes an analysis unit 160 (a first analysis unit and a second analysis unit). The analysis unit 160 analyzes the information read by the acquisition count acquisition unit 110 from the history storage unit 150 and the sales number acquired by the sales number acquisition unit 120. For example, the analysis unit 160 calculates the difference between the number of acquisitions read from the history storage unit 150 and the number sold. Further, the analysis unit 160 calculates at least one of the average value and the standard deviation of the time when the product is picked up, which is read from the history storage unit 150. The correlation data generation unit 130 displays the second display screen data (second display screen data and third display screen data) for displaying a screen including information indicating the analysis result of the analysis unit 160 as shown in FIG. Generated separately from screen data.
　図１３は、履歴記憶部１５０が記憶しているデータをテーブル形式で示す図である。本図に示す例において、履歴記憶部１５０は、商品識別情報別に、取得回数、及び商品が手に取られていた時間を記憶している。商品が手に取られていた時間は、加工されない状態で記憶されている。 FIG. 13 is a diagram showing data stored in the history storage unit 150 in a table format. In the example shown in the figure, the history storage unit 150 stores the number of times of acquisition and the time that the product has been picked up by product identification information. The time when the product has been picked up is stored in an unprocessed state.
　図１４は、表示装置４００が第２表示画面データに従って表示した画面の一例を示している。本図に示す例において、表示装置４００には商品名別に、取得回数、販売個数、取得回数と販売個数の差、並びに商品が手に取られていた時間の平均値及び標準偏差が表示される。なお、相関データ生成部１３０は、商品名を、例えば商品識別情報と商品名を対応付けたテーブルから読み出す。 FIG. 14 shows an example of a screen displayed by the display device 400 according to the second display screen data. In the example shown in this figure, the display device 400 displays, for each product name, the number of acquisitions, the number of sales, the difference between the number of acquisitions and the number of sales, and the average value and standard deviation of the time when the product was taken. . The correlation data generation unit 130 reads the product name from, for example, a table in which product identification information is associated with the product name.
　本実施形態によっても、第２～第４の実施形態のいずれかと同様の効果を得ることができる。また、商品が手に取られていた時間の平均値及び標準偏差が表示装置４００にされるため、その商品がどの程度消費者に興味をもたれていたかを把握することができる。例えば標準偏差が大きい場合、情報処理装置１００の使用者は、陳列場所がその商品の属性に合っていない可能性を有していると判断できる。 Also in this embodiment, the same effect as in any of the second to fourth embodiments can be obtained. Further, since the average value and the standard deviation of the time when the merchandise is picked up are displayed on the display device 400, it is possible to grasp how much the merchandise is interested in the consumer. For example, when the standard deviation is large, the user of the information processing apparatus 100 can determine that there is a possibility that the display location does not match the attribute of the product.
　以上、図面を参照して本発明の実施形態について述べたが、これらは本発明の例示であり、上記以外の様々な構成を採用することもできる。 As described above, the embodiments of the present invention have been described with reference to the drawings. However, these are exemplifications of the present invention, and various configurations other than the above can be adopted.
　この出願は、２０１２年７月１３日に出願された日本出願特願２０１２－１５７１６１を基礎とする優先権を主張し、その開示の全てをここに取り込む。 This application claims priority based on Japanese Patent Application No. 2012-157161 filed on July 13, 2012, the entire disclosure of which is incorporated herein.

Claims (8)

  1. 　複数の商品別に、前記商品が商品陳列棚から手に取られた回数である取得回数を取得する取得回数取得手段と、
    　前記複数の商品別に、前記商品の販売個数を取得する販売個数取得手段と、
    　前記販売個数と前記取得回数との相関を示す相関データを生成する相関データ生成手段と、
    を備える情報処理装置。     For a plurality of products, acquisition number acquisition means for acquiring the number of acquisitions, which is the number of times the product has been taken from the product display shelf,
    For each of the plurality of products, sales number acquisition means for acquiring the sales number of the products;
    Correlation data generating means for generating correlation data indicating a correlation between the number of sales and the number of acquisitions;
    An information processing apparatus comprising:
  2. 　請求項１に記載の情報処理装置において、
    　前記相関データ生成手段は、前記相関データとして、縦軸及び横軸の一方が前記取得回数であって他方が前記販売個数であるグラフ内に、前記複数の商品を示す情報を個別に表示する第１表示画面データを生成する情報処理装置。     The information processing apparatus according to claim 1,
    The correlation data generating means individually displays information indicating the plurality of products in the graph in which one of the vertical axis and the horizontal axis is the number of acquisitions and the other is the sales quantity as the correlation data. An information processing apparatus that generates one display screen data.
  3. 　請求項１又は２に記載の情報処理装置において、
    　前記商品別に前記取得回数と前記販売個数の差を算出する第１分析手段を備え、
    　前記相関データ生成手段は、前記差を前記商品別に表示する第２表示画面データを生成する情報処理装置。     The information processing apparatus according to claim 1 or 2,
    First analysis means for calculating the difference between the number of acquisitions and the number of sales for each product,
    The correlation data generation unit is an information processing apparatus that generates second display screen data for displaying the difference for each product.
  4. 　請求項１～３のいずれか一項に記載の情報処理装置において、
    　前記取得回数は、前記商品陳列棚の画像を解析することにより得られた情報である情報処理装置。     The information processing apparatus according to any one of claims 1 to 3,
    The information processing apparatus, wherein the number of times of acquisition is information obtained by analyzing an image of the product display shelf.
  5. 　請求項４に記載の情報処理装置において、
    　前記画像を解析することにより得られた情報に基づいて、前記商品が手に取られた後に前記陳列棚に戻されたか否かを判断し、前記商品が陳列棚に戻されたときには前記商品が取られていた時間を算出する画像解析手段と、
    　前記商品別に前記時間の平均値を算出する第２分析手段をさらに備え、
    　前記相関データ生成手段は、前記平均値を前記商品別に表示する第３表示画面データを生成する情報処理装置。     The information processing apparatus according to claim 4,
    Based on the information obtained by analyzing the image, it is determined whether or not the product is returned to the display shelf after being picked up, and when the product is returned to the display shelf, Image analysis means for calculating the time taken;
    A second analysis means for calculating an average value of the time for each product;
    The correlation data generation unit is an information processing apparatus that generates third display screen data for displaying the average value for each product.
  6. 　請求項５に記載の情報処理装置において、
    　前記第２分析手段は、さらに前記商品別に前記時間の標準偏差を算出し、
    　前記相関データ生成手段は、前記第３表示画面データに、前記標準偏差を前記商品別に表示させるデータを含ませる情報処理装置。     The information processing apparatus according to claim 5,
    The second analysis means further calculates a standard deviation of the time for each product,
    The correlation data generation unit is an information processing apparatus that includes, in the third display screen data, data for displaying the standard deviation for each product.
  7. 　コンピュータが、
    　　複数の商品別に、前記商品が商品陳列棚から手に取られた回数である取得回数を取得し、
    　　前記複数の商品別に、前記商品の販売個数を取得し、
    　　前記販売個数と前記取得回数との相関を示す相関データを生成する情報処理方法。     Computer
    For a plurality of products, obtain the number of acquisitions, which is the number of times the product has been taken from the product display shelf,
    For each of the plurality of products, obtain the number of products sold,
    An information processing method for generating correlation data indicating a correlation between the number sold and the number of acquisitions.
  8. 　コンピュータに、
    　　複数の商品別に、前記商品が商品陳列棚から手に取られた回数である取得回数を取得する機能と、
    　　前記複数の商品別に、前記商品の販売個数を取得する機能と、
    　　前記販売個数と前記取得回数との相関を示す相関データを生成する機能と、
    を実現させるプログラム。     On the computer,
    For a plurality of products, a function of acquiring the number of acquisitions, which is the number of times the product has been taken from the product display shelf,
    A function of obtaining the number of products sold for each of the plurality of products,
    A function of generating correlation data indicating a correlation between the number sold and the number of acquisitions;
    A program that realizes
PCT/JP2013/001339 2012-07-13 2013-03-05 Information processing device, information processing method, and program WO2014010143A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2014524592A JPWO2014010143A1 (en) 2012-07-13 2013-03-05 Information processing apparatus, information processing method, and program

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2012157161 2012-07-13
JP2012-157161 2012-07-13

Publications (1)

Publication Number Publication Date
WO2014010143A1 true WO2014010143A1 (en) 2014-01-16

Family

ID=49915632

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2013/001339 WO2014010143A1 (en) 2012-07-13 2013-03-05 Information processing device, information processing method, and program

Country Status (2)

Country Link
JP (1) JPWO2014010143A1 (en)
WO (1) WO2014010143A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2017163909A1 (en) * 2016-03-22 2018-10-04 日本電気株式会社 Image display device, image display system, image display method, and program

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09305571A (en) * 1996-05-10 1997-11-28 Hitachi Ltd Time series data processing method
JP2004348681A (en) * 2003-05-26 2004-12-09 Nec System Technologies Ltd System for analyzing buying behavior of customer
JP2011253344A (en) * 2010-06-02 2011-12-15 Midee Co Ltd Purchase behavior analysis device, purchase behavior analysis method and program

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09305571A (en) * 1996-05-10 1997-11-28 Hitachi Ltd Time series data processing method
JP2004348681A (en) * 2003-05-26 2004-12-09 Nec System Technologies Ltd System for analyzing buying behavior of customer
JP2011253344A (en) * 2010-06-02 2011-12-15 Midee Co Ltd Purchase behavior analysis device, purchase behavior analysis method and program

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2017163909A1 (en) * 2016-03-22 2018-10-04 日本電気株式会社 Image display device, image display system, image display method, and program
JP2019109916A (en) * 2016-03-22 2019-07-04 日本電気株式会社 Image display apparatus, image display method, and program
JP2020140725A (en) * 2016-03-22 2020-09-03 日本電気株式会社 Image display device, image display method, and program
US10813477B2 (en) 2016-03-22 2020-10-27 Nec Corporation Image display device, image display system, image display method, and program
US11051638B2 (en) 2016-03-22 2021-07-06 Nec Corporation Image display device, image display system, image display method, and program
JP2021182401A (en) * 2016-03-22 2021-11-25 日本電気株式会社 Information processing system, method for processing information, and program
JP7136284B2 (en) 2016-03-22 2022-09-13 日本電気株式会社 Information processing system, information processing method and program
JP2022164828A (en) * 2016-03-22 2022-10-27 日本電気株式会社 Image display device, image display method, and program
US11786058B2 (en) 2016-03-22 2023-10-17 Nec Corporation Image display device, image display system, image display method, and program
JP7501580B2 (en) 2016-03-22 2024-06-18 日本電気株式会社 Image display device, image display method, and program

Also Published As

Publication number Publication date
JPWO2014010143A1 (en) 2016-06-20

Similar Documents

Publication Publication Date Title
US20230389725A1 (en) Image display device, image display system, image display method, and program
JP5632512B1 (en) Human behavior analysis device, human behavior analysis system, human behavior analysis method, and monitoring device
WO2017085771A1 (en) Payment assistance system, payment assistance program, and payment assistance method
JP2019531619A5 (en)
US10438186B2 (en) Produce weigh station and method of use
JPWO2015033577A1 (en) Customer behavior analysis system, customer behavior analysis method, customer behavior analysis program, and shelf system
JP2015106281A (en) Operation determination method, operation determination device, and operation determination program
JP2013232181A5 (en)
MY173040A (en) Information processing apparatus, system, vacant space guidance method and program
US20150120498A1 (en) Method for assisting in locating a desired item in a storage location
JP2018099317A (en) Display shelf, display shelf system, information processor and program
JP6050473B2 (en) Method for assisting in positioning an item in a storage position
US20090227869A1 (en) Volume Measurement In An Ultrasound System
JP2010204882A (en) Method, program and apparatus for relationship analysis
JPWO2017163879A1 (en) Behavior analysis apparatus, behavior analysis system, behavior analysis method, and program
JP2016076109A (en) Device and method for predicting customers's purchase decision
JP6565639B2 (en) Information display program, information display method, and information display apparatus
JP2016136437A5 (en) Product sales data processing apparatus and program
JP2012022538A (en) Attention position estimating method, image display method, attention content display method, attention position estimating device and image display device
JP5822315B2 (en) Work support system, work support device, work support method, and program
WO2014010143A1 (en) Information processing device, information processing method, and program
US11403864B2 (en) Method and apparatus for acquiring information on shape of object
US20230130735A1 (en) Real-time risk tracking
JP2019096162A (en) Inventory detection program, inventory detection method and inventory detection apparatus
JP7079465B2 (en) Evaluation method and evaluation system for estimating intimacy with an object

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: 13816525

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2014524592

Country of ref document: JP

Kind code of ref document: A

122 Ep: pct application non-entry in european phase

Ref document number: 13816525

Country of ref document: EP

Kind code of ref document: A1