WO2023209951A1

WO2023209951A1 - Content effect calculation method and effect calculation system

Info

Publication number: WO2023209951A1
Application number: PCT/JP2022/019283
Authority: WO
Inventors: 奏美知名
Original assignee: シャープＮｅｃディスプレイソリューションズ株式会社
Priority date: 2022-04-28
Filing date: 2022-04-28
Publication date: 2023-11-02

Abstract

In the present invention, content relating to a first region (D) is displayed in a display screen of a display device (30E) installed outside the first region. After the content has been displayed in the display screen, movement of people into the first region is detected, and the effect of the content is calculated on the basis of the movement of people into the first region from a second region (E) which is different from the first region and in which at least the display screen is visible.

Description

Content effect calculation method, effect calculation system

The present invention relates to a content effect calculation method and an effect calculation system.

Signage that displays content is used in stores, public facilities, etc. The contents include advertisements, notices, various guides, and the like.

Here, there is a system that predicts the effect of displaying content and allocates advertisements to advertising spaces based on the predicted effect (for example, Patent Document 1).

Japanese Patent Application Publication No. 2009-245364

A client who requests content to be displayed has a desire to understand the effects of displaying the content.
Note that the technique of Patent Document 1 described above predicts the effect of displaying content, but does not measure the effect.
An object of the present invention is to provide a content effect calculation method and an effect calculation system that can measure the effect of displaying content.

The present invention displays content related to the first area on a display screen of a display device installed outside the first area, and after displaying the content on the display screen, displays the content related to the first area. Detecting the movement of a person to the first area, and calculating the effect of the content based on the movement of the person from a second area where at least the display surface is visible and which is different from the first area to the first area. This is a method for calculating the effectiveness of content.

The present invention includes a display control unit that displays content related to the first area on a display screen of a display device installed outside the first area, and after the content is displayed on the display screen, a detection unit that detects movement of a person to the first area; and a detection unit that detects movement of a person to the first area from a second area where at least the display surface is visible and is different from the first area. This is an effect calculation system having a calculation unit that calculates the effect of the content based on the content.

According to the present invention, it is possible to measure the effect of displaying content.

1 is a schematic block diagram showing the configuration of an effect measurement system S according to an embodiment of the present invention. 2 is a schematic functional block diagram illustrating the functions of an information processing device 50. FIG. 5 is a diagram illustrating an example of area-related data stored in a storage unit 502. FIG. It is a figure explaining the relationship between elapsed time and points. 5 is a flowchart illustrating the operation of the information processing device 50. FIG. FIG. 3 is a diagram showing an example of first data. It is a figure which shows an example of 2nd data. It is a figure which shows an example of the 2nd data newly obtained. It is a schematic block diagram showing the composition of effect measurement system Sa in a 2nd embodiment. 5 is a schematic functional block diagram illustrating the functions of an information processing device 51. FIG. 5 is a flowchart illustrating the operation of the information processing device 51. FIG. It is a schematic block diagram showing the composition of effect measurement system Sb when three cameras are provided in a 2nd embodiment. It is a schematic block diagram showing the composition of effect measurement system Sc in a 3rd embodiment.

Hereinafter, an effect measurement system according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a schematic block diagram showing the configuration of an effect measurement system S according to an embodiment of the present invention.
The effect measurement system S measures the effect of displaying the content by measuring the movement of a person after the content is displayed on a display device provided within the facility.
Facilities include public facilities, commercial facilities, station premises, event venues, shopping malls (commercial complexes), stores, etc., and are places where people can visit. Here, a case will be described in which the facility is a store.

The effect measurement system S is communicably connected via a camera 20A, a display device 30B, a content providing device 40B, an information processing device 50, and a network N.

Area A is a part of the facility, and area B is a different area from area A within the facility. Area A and area B may be adjacent to each other or may be separated from each other. Area A is set within a facility (for example, a store) for a target section where it is desired to attract people by displaying content on the display device 30B.
Product shelf 10A is installed in area A. Product shelf 10B is installed in area B. Different products are displayed on the product shelf 10A and the product shelf 10B.
Camera 20A is installed above the ceiling or wall inside the store, and images an area including area A. If a person exists in area A, camera 20A can image the area including the person.
Display device 30B is installed in area B. Here, the display screen of the display device 30B is visible to a person who has come into area B to view the products displayed on the product shelf 10B.
Content providing device 40B stores multiple types of content and transmits the content to display device 30B. The content includes content related to the store, and is, for example, an advertisement that can appeal to consumers about the products displayed on the product shelf 10A.

The information processing device 50 causes the display device 30B to display the content, and calculates the effect of displaying the content. The information processing device 50 is, for example, a computer.
The network N is, for example, a LAN (local area network).

FIG. 2 is a schematic functional block diagram illustrating the functions of the information processing device 50.
The communication unit 501 communicates with other devices (camera 20A, display device 30B, content providing device 40B) via network N.
The storage unit 502 stores area-related data and other various data.
FIG. 3 is a diagram illustrating an example of area-related data stored in the storage unit 502.
The storage unit 502 stores camera identification information for identifying the camera 20A, area identification information for identifying the area, and information regarding products displayed in the area in association with each other.

Returning to FIG. 2, the input unit 503 receives information input from an input device connected to the outside of the information processing device 50. As the input device, for example, at least one of a keyboard, a mouse, a touch panel, etc. can be used.
The area selection setting unit 504 sets rules indicating timing for selecting areas. Timings for selecting an area include, for example, the following (a) to (b).
(a) Instruction to move a person The area selection setting unit 504 sets a selection timing for selecting an area based on a request input from the input unit 503 to move a person to the first area. The selection timing in this case may be such that the area is selected immediately when a request to move a person is input from the input unit 503.
(b) When using area selection time Alternatively, the area selection setting unit 504 may receive an area selection time, which is a predetermined time, from the input unit 503, and the timing may be based on this area selection time. In this case, when the area selection time arrives, an area can be selected. When the area selection timing has arrived, content for attracting people to the destination area is displayed. The area selection time may be a periodic time or may be a predetermined time.
(c) When referring to the magnitude relationship between the number of people in the area and the reference value Area selection may be performed based on the magnitude relationship between the number of people in the area and the reference value. For example, area selection may be performed when the number of people in the second area exceeds a reference value. In this case, in response to a large number of people gathered in a certain area, by having the people in that area watch the content, it is possible to attract them to the first area.
Further, for example, area selection may be performed when the number of people in the first area is less than a reference value. In this case, the content can be displayed on a display device set other than the first area in response to the number of people in the first area becoming smaller than the reference value, and the content can be displayed on a display device set other than the first area. It is possible to attract people from outside to the first area.

The measurement timing setting unit 505 determines the measurement timing (comparison) for acquiring person data from the selected area after content related to the selected area is displayed on a display device installed in an area different from the data acquisition time). By comparing the person data measured according to this measurement timing with the person data obtained before displaying the content, it is possible to understand changes in the number of people in the selected area after displaying the content. can. This timing can be determined depending on the point in time when it is desired to understand people's movements after displaying the content.
In this embodiment, a plurality of different timings after displaying the content are set. For example, timings are selected such that measurement is performed at least once in each of period T1, period T2, period T3, and period T4, which will be described later.

A person data detection unit 506 calculates characteristic data of a person included in the imaging data. The feature data may be a feature amount obtained by quantifying the features of a person, or may be attribute data estimated based on the features of the person. The attribute data includes, for example, the person's gender, age group, clothing characteristics (color of clothing, etc.), and the like. Hereinafter, the feature data will also be referred to as person data.
The person data detection unit 506 may perform this estimation process every time the image data is obtained while continuing to receive the image data from the camera. Further, the person data detection unit 506 may calculate the feature data from the imaging data obtained when the measurement timing set by the measurement timing setting unit 515 arrives.

The person data detection unit 506 determines whether the comparison data acquisition time has been reached, and calculates feature data (person data) when the comparison data determination time has been reached.

The display control unit 507 displays content related to the first area on the display surface of a display device installed outside the first area. The first area may be any area within the facility, and is area A in this embodiment. The display device installed outside the first area is the display device 30B.

The movement detection unit 508 detects movement of the person to the first area after the content is displayed on the display screen. The movement detection unit 508 detects movement of the person when the image captured by the camera 20A includes a person.
Furthermore, the movement detection unit 508 may detect the movement of a person using a method different from the method using the image captured by the camera 20A. For example, the position of a terminal device such as a smartphone or a mobile phone carried by a person is measured. The information processing device 50 may acquire position information that is the measurement result, and the movement detection unit 508 may detect the movement of the person based on the position information. For example, GNSS (Global Navigation Satellite System) may be used to measure the position information.
When the information processing device 50 acquires location information from a terminal device carried by a person, the information processing device 50 may acquire the location information via a wireless communication network included in the terminal device using application software installed in the terminal device. The wireless communication network may be 4G, 5G, LTE, Wi-Fi (registered trademark), or the like.
In this case, when receiving the measurement result of measuring the position of the terminal device after the content is displayed on the display device 30B, the movement detection unit 508 detects that the position information based on the measurement result is in the area B where the display device 30B is provided. Detects a terminal device belonging to a person and tracks the person based on the location information of that terminal device.

After displaying the content on the display screen, the movement detection unit 508 detects whether the person moves from the second area to the first area until a time longer than the average time required for the person to move from the second area to the first area has elapsed. Movement is detected as a first detection result. The average time is the time obtained by calculating the average time required for a person to move from the second area to the first area. When a person moves the distance on the route between the first area and the second area, the time required for the transition differs because the walking speed differs, but here we will explain the case where the average time is used as an example. . The movement detection unit 508 detects movement of a person during the measurement period. The measurement target period is a period from a measurement start timing, which is a point in time after the content is displayed on the display screen, to a measurement end timing, which is a point in time that is longer than the average time.

The calculation unit 509 calculates the effect of the content based on the movement of a person from a second area, which is different from the first area, to the first area, where at least the display surface is visible. The second area may be an area outside the first area and within or around the facility. In this embodiment, a case will be described in which the second area is area B in the example shown in FIG.

The calculation unit 509 calculates the effect of the content based on the first detection result that is the detection result of the movement detection unit 508.
In the calculation unit 509, a coefficient that is lower at the end of the period to be detected as the first detection result than at the beginning is set according to the elapsed time in the period to be measured, and the movement of the person is detected. The effectiveness of the content is calculated by summing up the points for each detected person.
Here, FIG. 4 is a diagram illustrating the relationship between elapsed time and points. The horizontal axis is time and the vertical axis is points. The measurement target period is from time t0, which is the measurement start timing, to time t4, which is the measurement end timing. An example of the timing after the content is displayed on the display device 30B is time t0, and an example of the timing when a time longer than the average time required for movement has passed is time t4.

Here, point p1 is for period T1 from time t0 to time t1, point p2 is for period T2 from after time t1 to time t2, and point p2 is for period T3 from after time t2 to time t3. On the other hand, a point p3 is set, and a point p4 is set for a period T4 from after time t3 to time t4. Here, among the points p1 to p4, p1 is set to be the largest, and p4 is set to become the smallest as time passes.
For example, if two people are detected in the period T1 and three people are detected in the period T3 in the first detection result, the calculation unit 509 calculates the effect of the content by (p1×2+p3×3).
Although this figure shows a case where the measurement period is divided into four sections, it may be divided into two or three sections, or may be divided into five or more sections. Further, as long as points are awarded according to the passage of time, points may be awarded according to the elapsed time without dividing the sections.

FIG. 5 is a flowchart illustrating the operation of the information processing device 50.
The camera 20A images the area A and transmits the imaged data to the information processing device 50 via the network N.
The display control unit 507 of the information processing device 50 selects arbitrary content from among the contents stored in the content providing device 40B and displays it on the display device 30B (step S101). Here, content set as default may be selected and displayed. Content providing device 40B transmits the content selected by information processing device 50 to display device 30B via network N. Thereby, the display device 30B displays the content selected by the display control unit 507.

The person data detection unit 506 determines whether or not to display the target content based on whether the first cycle set by the area selection setting unit 504 has been reached (step S102), and determines whether the first cycle has been reached. If not (step S102-NO), the process moves to step S101, and if the first cycle has been reached, it is determined that the target content is to be displayed (step S102-YES), and the process moves to step S103.

When it is determined that the target content should be displayed, the display control unit 507 causes the display device 30B to display the target content. The target content here is content related to the area to which people are to be attracted. Here, content related to products stored on product shelves installed in the area to be attracted is used as the target content. The display control unit 507 receives the designation of the area to be attracted from the input device, and reads out the content ID corresponding to the designated area from the storage unit 502. The designation of the area may be accepted when the attraction timing arrives, or may be specified in advance before the attraction timing arrives. Here, when area A is designated as the area to be attracted, the display control unit 507 extracts content related to the products displayed on the product shelf 10A as the target content.
The display control unit 507 displays the extracted target content on the display device 30B (step S103).

When the content is displayed, the person data detection unit 506 acquires the characteristic data of the person included in the image data obtained from the camera 20A (step S104), and temporarily stores it in the storage unit 502 as first data.
FIG. 6 is a diagram showing an example of the first data. Two people have been detected at this point. More specifically, there is one person whose attribute is "male, from 40s to 50s" and one person whose attribute is "female, from 40s to 50s."

The person data detection unit 506 determines whether the comparison data acquisition time has been reached (step S105), and if the comparison data determination time has not been reached (step S105-NO), a certain wait time has elapsed. After that, the determination in step S105 is performed again, and if the comparison data determination time has been reached (step S105-YES), the characteristic data of the person included in the imaging data obtained from the camera 20A is acquired (step S106), The data is temporarily stored in the storage unit 502 as second data.
FIG. 7 is a diagram showing an example of the second data. The example in this figure shows an example of second data obtained based on image data captured immediately before time t1.
For example, five people are detected from the second data obtained based on the imaging data taken immediately before time t1. More specifically, there is one person whose attribute is "male, 20s to 30s," one person whose attribute is "male, 40s to 50s," and one person whose attribute is "female." , 20's to 30's," and 1 person's attributes are "Female, 40's to 50's."

Next, the person data detection unit 506 determines whether or not the measurement period has ended (step S107), and if the measurement period has not ended (step S107-NO), the process moves to step S105. , if the next comparison data acquisition time has been reached, new second data is acquired (step S106), and if the measurement period has ended (step S107-YES), the process moves to S107.
FIG. 8 is a diagram showing an example of newly obtained second data. The example in this figure shows an example of second data obtained based on image data captured immediately before time t2.
For example, six people are detected from the second data obtained based on the imaging data taken immediately before time t2. More specifically, there are two people whose attributes are "male, 20s to 30s," one person whose attributes are "male, 40s to 50s," and one person whose attributes are "female." , 20's to 30's," and 1 person's attributes are "Female, 40's to 50's."
Such second data is newly obtained every time the comparison data acquisition time is reached.

When the measurement period ends, the calculation unit 509 calculates the effect based on the first data and the second data (step S108).
For example, in the first data shown in FIG. 6 and the second data shown in FIG. Find the value. Furthermore, the calculation unit 509 calculates the total value of points for each piece of second data obtained each time the comparison data acquisition time is reached. For example, in the first data shown in FIG. 6 and the second data shown in FIG. Find the value. In this way, the effect of displaying the content is calculated by calculating the sum of each point obtained each time the comparison data acquisition time is reached.

The information processing device 50 determines whether or not a power OFF instruction has been input (step S109), and if a power OFF instruction has been input (step S109-YES), the information processing device 50 ends the process and restarts the power OFF instruction. If no instruction has been input (step S109-NO), the process moves to step S101.

According to the embodiment described above, content related to the first area (product shelf 10A) is displayed on the display surface of the display device (for example, display device 30B) installed outside the first area (for example, area A). After displaying the content (content related to the product) on the display surface, detecting the movement of the person to the first area, and displaying the content on the display surface, and detecting the movement of the person to the first area, and displaying the content on the display surface, and detecting the movement of the person to the first area, and displaying the content on the display surface. The effect of the content is calculated based on the movement of people from (for example, area B) to the first area.
As a result, if content is displayed and a person's movement to the first area is detected after that, the person who viewed the content moves to the first area as an action related to the content. It can be estimated that Thereby, by detecting the movement of people, it is possible to measure the effectiveness of displaying the content.

Further, according to the embodiment described above, after displaying the content on the display surface, the content is not moved to the first area until a time longer than the average time required for a person to move from the second area to the first area has elapsed. The movement of people is detected as the first detection result. As a result, it is considered that a person who becomes interested in a product in the first area due to viewing the content will move to the first area shortly after viewing the content. Therefore, by setting a measurement period that takes into account the travel time for such a person to move to the first area, content can be targeted at people who arrived within the measurement period. The effect of displaying the content can be measured, and a person who arrives in the first area after the measurement period is considered to have arrived in the first area regardless of the content being displayed. can be excluded from measurement.

Furthermore, in the embodiments described above, there are cases in which a route for walking around the facility is assumed. For example, in a store such as a supermarket, there are cases in which the store manager has a predetermined order in which products are viewed on the shelves. In such a case, in a travel route in which a person is expected to move from upstream to downstream, the first region may be set upstream, and the second region may be set downstream. As a result, the display device 30B displays content related to the product shelf 10A in area A to a person who has passed through the first area and reached the second area, thereby prompting the person to return to area A. can be encouraged. In this case, if no new people are visiting the store and the number of people increases in area A, it is presumed that people have returned to area A from area B. Thereby, it can be estimated that people were attracted to area A by displaying the content on display device 30B.

Next, a second embodiment will be described.
FIG. 9 is a schematic block diagram showing the configuration of the effect measurement system Sa in the second embodiment. In the figure, parts corresponding to those in FIG. 1 are designated by the same reference numerals, and their explanations will be omitted.
Camera 20B is installed above the ceiling or wall inside the store, and images an area including area B. If a person exists in area B, camera 20B can image the area including the person.
Display device 30A is installed in area A. Here, the display screen of the display device 30A is visible to a person who has come into the area A to view the products displayed on the product shelf 10A.
The content providing device 40A stores multiple types of content and transmits the content to the display device 30A. The content includes content related to the store, and is, for example, an advertisement that can appeal to consumers about the products displayed on the product shelf 10B.

The information processing device 51 displays the content on at least one of the display device 30A and the display device 30B, and calculates the effect of displaying the content. The information processing device 51 is, for example, a computer.

FIG. 10 is a schematic functional block diagram illustrating the functions of the information processing device 51.
In this figure, corresponding parts in the information processing device 50 of FIG. 2 are denoted by the same reference numerals, and the explanation thereof will be omitted.
The communication unit 511 communicates with other devices (camera 20A, camera 20B, display device 30A, display device 30B, content providing device 40A, content providing device 40B) via network N.
The storage unit 512 stores area-related data and other various data. For example, the storage unit 512 stores camera identification information, area identification information that identifies an area, and information regarding products displayed in the area in association with each other. Here, area-related data is stored for each of the

cameras

20A and 20B.

The area selection setting section 514 sets the selection timing for selecting an area based on the instruction input from the input section 503. The selection timing may be an area selection time that is a predetermined time. The area selection time may be a timing that occurs at regular intervals. Further, the selection timing may be the timing at which it is detected that the number of people set for each area has fallen below a reference value.

The measurement timing setting unit 515 sets the measurement timing for acquiring person data from the selected area after content related to the selected area is displayed on a display device installed in an area different from the selected area. Set. In this embodiment, the measurement timing may be once after the content is displayed, or may be measured multiple times at different timings.

The display control unit 517 selects an area to attract people based on the estimation results for each area. Examples of selection methods include (1) to (4) below.
(1) Selecting an area with the least number of people Among the multiple areas, the area where the number of people detected by the person data detection unit 506 is the least is selected.
(2) When referring to the size relationship between the number of people in the area and the reference value The person data detection unit 506 detects the number of visitors when no content is displayed and the number of sales of products displayed in the area. Measurements are made based on the results, and the aggregated results obtained by calculating the average value for each day of the week or each time period are stored as a reference. Then, the number of people in the area at the time of monitoring is compared with a standard value depending on the target day of the week and time of day, and if the number of people in the area is less than the standard value, the area is attracted. Select as the target area. In this case, it is possible to attract people to an area with fewer people.
In this case, the number of people in the area at the time of monitoring is compared with a standard value depending on the target day of the week and time of day, and if the number of people in the area exceeds the standard value, other Select one of the areas as the area to be attracted. In this case, it is possible to attract people from an area with a large number of people to another area, and it is possible to disperse the people who have visited the store so that they are not concentrated in a particular location within the store.
(3) Random selection from among the areas that are below the standard value If there are multiple areas that are below the standard value in (2) above, randomly select an area from among the multiple areas at regular intervals. do.
(4) Random selection Unlike (2) and (3) above, an area is selected at random, regardless of the number of people in the area.

The movement detection unit 508 detects movement of the person to the first area after the content is displayed on the display screen. For example, if a person is included in an image captured by a camera that captures an area selected as an area to attract people, the movement detection unit 508 detects the movement of the person.
The movement detection unit 508 detects the movement of the person to the first area as the first detection result until a time longer than the average time required for the movement of the person from the second area to the first area has elapsed. do. Furthermore, after displaying the content on the display screen, the movement detection unit 508 detects movement of the person out of the second area as a second detection result.
Further, the movement detection unit 508 detects movement of the person from the second area to outside the second area as a case where it can be estimated that the person has moved from the second area to the first area, and If a person is included in the image captured in the first area, it may be detected as the second detection result.

The movement detection unit 508 moves the person from the area where the content is displayed to the attraction target area by tracking the movement of the person based on the characteristic data of the person detected in the area outside the first area. Detect whether the has moved. For example, the movement detection unit 508 detects a case in which feature data obtained based on certain imaging data and feature data obtained by subsequent imaging have a correspondence relationship, and the position is located along the movement route. If the person is within a distance that can be considered to have moved, the person is presumed to be the same person. This allows people to be tracked from the area where the display device displaying the content is installed to the area to be lured, so that those who actually view the content will come to the area to be attracted. It can be estimated as follows.

The calculation unit 519 calculates the effect of the content based on the movement of a person from a second area where the display surface is at least visible and which is different from the first area to the first area. The second area may be an area outside the first area and within or around the facility. In this embodiment, a case where the second area is area B will be described.
If it is estimated that the person has moved from the second area to the first area based on the first detection result and the second detection result, the calculation unit 519 determines that the person has viewed the content. Therefore, it can be estimated that the user became interested in the product included in the content, and as a result moved to the first area. If it is estimated in this way, it can be estimated that there was an effect of displaying the content.

FIG. 11 is a flowchart illustrating the operation of the information processing device 51.
The camera 20A images the area A and transmits the imaged data to the information processing device 51 via the network N. Camera 20B images area B and transmits the imaged data to information processing device 51 via network N.
The display control unit 517 of the information processing device 51 selects any content from among the contents stored in the content providing device 40A, displays it on the display device 30A, and selects any content from among the contents stored in the content providing device 40B. content is selected and displayed on the display device 30B (step S201). Here, content set as default may be selected and displayed. The content providing device 40A transmits the content selected by the information processing device 51 to the display device 30A via the network N, and the content providing device 40B transmits the content selected by the information processing device 51 to the display device 30B via the network N. Send via. Thereby, the display device 30A and the display device 30B each display the content selected by the display control unit 517.

The person data detection unit 506 determines whether or not to select an area based on the setting conditions set by the area selection setting unit 504. For example, the person data detection unit 506 determines whether the area selection time has arrived based on whether the first period has been reached (step S202), and if the first period has not been reached (step S202). -NO), it is determined that the area selection time has not been reached, and the process moves to step S201. On the other hand, if the first cycle has been reached, the person data detection unit 506 determines that the area selection time has arrived (step S202-YES), and moves the process to step S203.

When it is determined that the area selection time has been reached, the person data detection unit 506 calculates the characteristic data of the person included in the imaging data for each area, and temporarily stores it in the storage unit 512 as reference data for counting the number of people in each area. (step S203). Here, for each area, the results of estimating the attributes of the people included in that area are acquired and stored as reference data. For example, the person data detection unit 506 estimates the number of people in area A and their attributes, estimates the number of people in area B and their attributes, and stores the estimated results in the storage unit 512. .

The display control unit 517 selects an area to attract people based on the estimation results for each area (step S204). For example, assume that area A is selected to have the least number of people. In other words, there are fewer people in area A and more people in area B. Therefore, it is decided to attract people from area B to area A.
The display control unit 517 selects a product displayed in the selected area based on the area-related data stored in the storage unit 512 (step S205), and displays content corresponding to the selected product in the content providing device. The content is selected from among the contents stored in 40B (S205). Here, content related to the products displayed on the product shelf 10A in area A is selected.

Then, the display control unit 517 displays the selected content on the display device 30B (step S206). Here, if there are three or more display devices 30, the selected content may be displayed on each display device 30 installed outside area A.

Here, when the reproduction of the selected content is completed, the display control unit 517 may repeatedly reproduce the content multiple times, or may reproduce arbitrary content different from the selected content (step S207).

The person data detection unit 506 determines whether the comparison data acquisition time has been reached (step S208), and if the comparison data determination time has not been reached (step S208-NO), the process moves to step S207. However, when the comparison data determination time has been reached (step S208-YES), the characteristics of the person included in the imaged data obtained from the camera that images the area selected in step S204 (here, camera 20A of area A) Data is acquired (step S209) and temporarily stored in the storage unit 502 as comparison data. Here, attributes are estimated for each person in the selected area, and the estimation results are stored.

Once the estimation results are stored, the calculation unit 509 calculates the effect based on the reference data and comparison data (step S210). For example, the effect of displaying the content is calculated by calculating the increase in the number of people for each attribute between the reference data and the comparison data, and obtaining a count result of counting the increase in the number of people.

The information processing device 51 determines whether a power OFF instruction has been input (step S211), and if a power OFF instruction has been input (step S212-YES), the information processing device 51 terminates the process and performs a power OFF instruction. If no instruction has been input (step S211-NO), the process moves to step S201.

According to the embodiment described above, content related to products displayed in a selected specific area is displayed on a display device in another area, and the attributes of the person in the specific area at the time before the content is displayed. and the attributes of people in a specific area after a certain amount of time has passed. Thereby, it is possible to estimate the distribution of attributes of people who are interested in products related to the content after viewing the content, based on the difference in attributes before and after the content is displayed.

In the second embodiment described above, the case where there are two cameras has been described, but the number of cameras may be three or more.
FIG. 12 is a schematic block diagram showing the configuration of the effect measurement system Sb in the case where three cameras are provided in the second embodiment.
In the effect measurement system Sb, a first area (area A) and a second area (area B) are separated from each other, and an area (area C) between the first area and the second area is used as the first area. The image is captured by a third camera (camera 20C) different from the camera and the second camera. Then, the movement detection unit 508 detects movement of the person from the second area (area B) to the third area (area C) based on the captured image obtained from the camera 20C, and the movement is detected. The movement of the person from the third area (area C) to the first area (area A) is detected.
When the movement of a person from the second area to the third area is detected, and the movement of the person from the third area to the first area is detected for the person whose movement was detected, the calculation unit 519 calculates the following: Based on this detection result, the effectiveness of the content is calculated.

In this way, by providing a camera that photographs a movable route between the first area and the second area, it is possible to differentiate between the area where the display device displaying the content is provided and the area where the target is to be attracted. Even if they are separated, the person can be continuously tracked between area A and area B by capturing an image of the area between them with a third camera. Thereby, the accuracy of measuring the effect of displaying the content can be improved.

Here, the case where there is only one third camera has been described, but if the moving route between the first area and the second area does not fit within the imageable area of one camera, , a plurality of third cameras may be provided. In this case, the imaging areas of the plurality of third cameras may be set so that images can be taken along the movement route between the first area and the second area.

Further, the imaging areas of the first camera, the second camera, and the third camera may be different from each other, and may be set so that at least a portion thereof overlaps along the movement route. In FIG. 12, an area AC is an area where a first area (area A) and a third area (area C) overlap, and an area where a second area (area B) and a third area (area C) are overlapped. An area BC, which is an overlapping area, is set along the movement route between the first area (area A) and the second area (area B).
In this case, the movement of the person can be tracked without interruption in the imaging area.

FIG. 13 is a schematic block diagram showing the configuration of the effect measurement system Sc in the third embodiment.
The effect measurement system Sc is communicably connected via a camera 20D, a display device 30E, a content providing device 40E, an information processing device 52, and a network N.

Area D is a part of the area within the facility, and is set for a target section within the facility (for example, a store) where it is desired to attract people by displaying content on the display device 30B.
Camera 20D is installed above the ceiling or wall inside the store, and images an area including area D. If a person exists in area D, camera 20D can image the area including the person.
Display device 30E is installed in an area different from area D. Here, the display screen of the display device 30B is visible to a person in an area different from area D.
Area E is a second area where the display surface of display device 30E is visible and different from the first area.
The content providing device 40E stores multiple types of content and transmits the content to the display device 30E.

The information processing device 52 displays the content on the display device 30E and calculates the effect of displaying the content. The information processing device 52 is, for example, a computer.
The network N is, for example, a LAN (local area network).

The information processing device 52 displays content related to the first area (area D) on the display surface of the display device (30E) installed outside the first area (area D). Here, the information processing device 52 outputs an instruction to the content providing device 40E to display the content on the display device 30E. Upon receiving this instruction, the content providing device 40E causes the display device 30B to display the content by transmitting the content to the display device 30E.

Next, the information processing device 52 displays the content on the display surface of the display device 30E, and then detects movement of the person to the first area. The information processing device 52 calculates the effect of the content based on at least the movement of the person from the second area to the first area.

In the embodiment described above, the storage unit 502 and the storage unit 512 are storage media such as a hard disk drive (HDD), a flash memory, an electrically erasable programmable read only memory (EEPROM), or a random access memory (RAM). cess read/write Memory) , ROM (Read Only Memory), or any combination of these storage media.
For example, nonvolatile memory can be used for the storage unit 502 and the storage unit 512.

In the embodiment described above, the communication unit 501, input unit 503, area selection setting unit 504, measurement timing setting unit 505, person data detection unit 506, display control unit 507, movement detection unit 508, and calculation unit 509 of the information processing device 50 may be constituted by a processing device such as a CPU (central processing unit) or a dedicated electronic circuit, for example.
In addition, the communication unit 511, input unit 503, area selection setting unit 514, measurement timing setting unit 515, person data detection unit 506, display control unit 517, movement detection unit 518, and calculation unit 519 of the information processing device 51 are, for example, CPU (central processing unit) or a dedicated electronic circuit.

In addition, construction management is performed by recording a program for realizing the functions of the processing section shown in Fig. 1 on a computer-readable recording medium, and having the computer system read and execute the program recorded on this recording medium. You can. Note that the "computer system" herein includes hardware such as an OS and peripheral devices.

Furthermore, the term "computer system" includes the homepage providing environment (or display environment) if a WWW system is used.
Furthermore, the term "computer-readable recording medium" refers to portable media such as flexible disks, magneto-optical disks, ROMs, and CD-ROMs, and storage devices such as hard disks built into computer systems. Furthermore, the term "computer-readable recording medium" includes a medium that retains a program for a certain period of time, such as a volatile memory inside a computer system that is a server or a client. Further, the above-mentioned program may be one for realizing a part of the above-mentioned functions, or may be one that can realize the above-mentioned functions in combination with a program already recorded in the computer system. Alternatively, the above program may be stored in a predetermined server, and the program may be distributed (downloaded, etc.) via a communication line in response to a request from another device.

Although the embodiments of the present invention have been described above in detail with reference to the drawings, the specific configuration is not limited to these embodiments, and includes designs within the scope of the gist of the present invention.

10A, 10B... Product shelf, 20A, 20B, 20C, 20D... Camera, 30, 30A, 30B, 30E... Display device, 40A, 40B, 40E... Content providing device, 50, 51, 52... Information processing device, 501, 511... Communication unit, 502, 512... Storage unit, 503... Input unit, 504, 514... Area selection setting unit, 505, 515... Measurement timing setting section, 506... Person data detection section, 507, 517... Display control section, 508, 518... Movement detection section, 509, 519... Calculation section, S, Sa, Sb, Sc ...Effect measurement system

Claims

Displaying content related to the first area on a display surface of a display device installed outside the first area,
After displaying the content on the display surface, detecting movement of the person to the first area;
A content effect calculation method for calculating the effect of the content based on movement of a person from a second area different from the first area to the first area where at least the display surface is visible.
After displaying the content on the display surface, the person moves to the first area until a time longer than an average time required for the person to move from the second area to the first area has elapsed. is detected as the first detection result,
The content effect calculation method according to claim 1, wherein the content effect is calculated based on the first detection result.
A point at which the first detection result is lower at the end of the period to be detected than at the beginning is set according to the elapsed time in the period to be measured,
3. The content effect calculation method according to claim 2, wherein the effect of the content is calculated by calculating the sum of points for each detected person at the time when the movement of the person is detected.
The effect of the content according to any one of claims 1 to 3, wherein when a person is included in a captured image obtained from a camera that images the first area, movement of the person is detected. Calculation method.
After displaying the content on the display surface, detecting movement of a person from the second area to outside the second area as a second detection result;
The content effect calculation method according to any one of claims 2 to 4, further comprising calculating the effect of the content based on the second detection result.
6. The content effect calculation method according to claim 5, wherein when a person is included in the image captured in the first area, the second detection result is detected.
The content effect calculation method according to claim 5 or 6, wherein the content is displayed when the number of people included in a captured image obtained from a camera that captures the second area is equal to or greater than a reference value. .
The first area and the second area are separated from each other, and based on a captured image obtained from a camera that images an area between the first area and the second area, Detecting the movement of a person from the area to the third area, and determining the effect of the content based on the detection of the movement of the person from the third area to the first area for the person for whom the movement was detected. The content effect calculation method according to any one of claims 4 to 7.
In a travel route in which a person is assumed to move from upstream to downstream, the first area is set at the upstream side, and the second area is set at the downstream side. A method for calculating the effect of content as described in any one of the above.
The content effect calculation method according to any one of claims 1 to 8, wherein the content is displayed when a request to move a person to the first area is received.
a display control unit that displays content related to the first area on a display surface of a display device installed outside the first area;
a detection unit that detects movement of a person to the first area after the content is displayed on the display screen;
an effect calculation system comprising: a calculation unit that calculates the effect of the content based on movement of a person from a second area where at least the display surface is visible and which is different from the first area to the first area; .