WO2014010143A1 - Dispositif de traitement d'informations, procédé de traitement d'informations et programme - Google Patents

Dispositif de traitement d'informations, procédé de traitement d'informations et programme Download PDF

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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
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WO
WIPO (PCT)
Prior art keywords
product
information processing
processing apparatus
unit
acquisitions
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/JP2013/001339
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English (en)
Japanese (ja)
Inventor
賢一 金子
克幸 永井
哲平 高杉
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NEC Solution Innovators Ltd
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NEC Solution Innovators Ltd
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Publication date
Application filed by NEC Solution Innovators Ltd filed Critical NEC Solution Innovators Ltd
Priority to JP2014524592A priority Critical patent/JPWO2014010143A1/ja
Publication of WO2014010143A1 publication Critical patent/WO2014010143A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • 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 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
    • 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.

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PCT/JP2013/001339 2012-07-13 2013-03-05 Dispositif de traitement d'informations, procédé de traitement d'informations et programme Ceased WO2014010143A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2017163909A1 (ja) * 2016-03-22 2018-10-04 日本電気株式会社 画像表示装置、画像表示システム、画像表示方法及びプログラム

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09305571A (ja) * 1996-05-10 1997-11-28 Hitachi Ltd 時系列データ処理方法
JP2004348681A (ja) * 2003-05-26 2004-12-09 Nec System Technologies Ltd 顧客購買行動分析システム
JP2011253344A (ja) * 2010-06-02 2011-12-15 Midee Co Ltd 購買行動分析装置、購買行動分析方法、およびプログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09305571A (ja) * 1996-05-10 1997-11-28 Hitachi Ltd 時系列データ処理方法
JP2004348681A (ja) * 2003-05-26 2004-12-09 Nec System Technologies Ltd 顧客購買行動分析システム
JP2011253344A (ja) * 2010-06-02 2011-12-15 Midee Co Ltd 購買行動分析装置、購買行動分析方法、およびプログラム

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2017163909A1 (ja) * 2016-03-22 2018-10-04 日本電気株式会社 画像表示装置、画像表示システム、画像表示方法及びプログラム
JP2019109916A (ja) * 2016-03-22 2019-07-04 日本電気株式会社 画像表示装置、画像表示方法及びプログラム
JP2020140725A (ja) * 2016-03-22 2020-09-03 日本電気株式会社 画像表示装置、画像表示方法及びプログラム
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 (ja) * 2016-03-22 2021-11-25 日本電気株式会社 情報処理システム、情報処理方法及びプログラム
JP7136284B2 (ja) 2016-03-22 2022-09-13 日本電気株式会社 情報処理システム、情報処理方法及びプログラム
JP2022164828A (ja) * 2016-03-22 2022-10-27 日本電気株式会社 画像表示装置、画像表示方法及びプログラム
US11786058B2 (en) 2016-03-22 2023-10-17 Nec Corporation Image display device, image display system, image display method, and program
JP7501580B2 (ja) 2016-03-22 2024-06-18 日本電気株式会社 画像表示装置、画像表示方法及びプログラム
US12075927B2 (en) 2016-03-22 2024-09-03 Nec Corporation Image display device, image display system, image display method, and program
US12167803B2 (en) 2016-03-22 2024-12-17 Nec Corporation Image display device, image display system, image display method, and program
US12268313B2 (en) 2016-03-22 2025-04-08 Nec Corporation Image display device, image display system, image display method, and program

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