JP7323215B2 - Information control device, information control method, and program - Google Patents

Description

The present disclosure relates to an information control device, an information control method, and a program.

Certain stores, shopping malls, etc. have introduced a shuttle bus service to pick up and drop off from a predetermined stop to the store. In general, when there are many people who want to use the shuttle bus, not all the people who want to use the shuttle bus can use the shuttle bus at the same time. many. As a method for alleviating bus congestion, for example, in Patent Document 1, information about the status of people staying at a bus stop and the status of use of the bus (number of people, vacant seats, etc.) is acquired, and the information is visible to the user. A technique related to an information providing device that displays information at a place has been disclosed.

JP 2020-112866 A

In order to improve the convenience of shuttle bus users, it is necessary to accurately grasp the congestion situation of the shuttle bus. In particular, on the return flight of the shuttle bus for pickup and drop-off, it is difficult to accurately predict the congestion situation because the user's shopping at the store increases the amount of luggage on the return trip.

In view of the above problems, an object of the present disclosure is to provide an information control device, an information control method, and a program that can improve convenience for users who use shuttle buses.

An information control device according to an aspect of the present disclosure includes:
a first image acquisition unit that acquires an image of a user who uses an outbound shuttle bus for pick-up;
a first information acquisition unit that acquires user information including face information and occupied area information of the user based on the image of the user acquired by the first image acquisition unit;
a second image acquisition unit that acquires an image of the user who uses the pick-up store;
a second information acquisition unit that acquires face information of the user and information on the occupied area of the product purchased by the user based on the image of the user acquired by the second image acquisition unit;
a face authentication control unit that controls face authentication using the user information for the user's face information acquired by the second information acquisition unit;
an updating unit that updates the occupied area information included in the user information using the occupied area information of the product when the face authentication is successful;
and a prediction unit that predicts congestion status of the return flight of the shuttle bus based on the user information.

An information control method according to an aspect of the present disclosure includes:
Acquire the image of the user who uses the outbound shuttle bus for pick-up,
acquiring user information including face information and occupied area information of the user based on the acquired image of the user who uses the outbound flight of the shuttle bus;
Acquiring an image of the user who uses the pick-up store,
Acquiring face information of the user and occupied area information of products purchased by the user based on the acquired image of the user who uses the store;
controlling face authentication using the user information for the acquired face information of the user who uses the store;
updating the occupied area information included in the user information using the occupied area information of the product when the face authentication is successful;
This is the method of predicting the congestion status of the return flight of the shuttle bus based on the user information.

A program according to an aspect of the present disclosure is
a step of acquiring an image of a user who uses an outbound shuttle bus for pick-up;
acquiring user information including face information and occupied area information of the user based on the acquired image of the user who uses the outbound flight of the shuttle bus;
a step of acquiring an image of the user who uses the pick-up store;
a step of acquiring face information of the user and occupied area information of products purchased by the user based on the acquired image of the user who uses the store;
a step of controlling face authentication using the user information for the obtained face information of the user who uses the store;
updating the occupied area information included in the user information using the occupied area information of the product when the face authentication is successful;
predicting the congestion status of the return flight of the shuttle bus based on the user information;
It is a program that causes a computer to execute

Advantageous Effects of Invention According to the present disclosure, it is possible to provide an information control device, an information control method, and a program that can improve convenience for users who use shuttle buses.

1 is a block diagram showing the configuration of an information control device according to a first embodiment; FIG. 4 is a flow chart showing an information control method according to the first embodiment; 4 is a diagram showing an example of user information according to the first embodiment; FIG. 4 is a diagram showing an example of user information according to the first embodiment; FIG. 4 is a diagram showing an example of user information according to the first embodiment; FIG. 4 is a diagram showing an example of user information according to the first embodiment; FIG. It is the figure which showed an example of the congestion condition which concerns on 1st Embodiment. It is a block diagram showing the configuration of an information control apparatus according to a second embodiment. 8 is a flow chart showing an information control method according to the second embodiment; It is the figure which showed an example of the display screen which displays the congestion condition which concerns on 2nd Embodiment. It is a figure showing an example of operation adjustment concerning a 2nd embodiment.

Hereinafter, specific embodiments to which the present invention is applied will be described in detail with reference to the drawings. However, the present invention is not limited to the following embodiments. Also, for clarity of explanation, the following description and drawings are simplified as appropriate.

<First embodiment>
The configuration of the information control device 10 will be described with reference to FIG. FIG. 1 is a block diagram showing the configuration of an information control device 10 according to the first embodiment. 1, the information control device 10 includes a first image acquisition unit 110, a first information acquisition unit 111, a second image acquisition unit 112, a second information acquisition unit 113, a face authentication control unit 114, an update unit 115 and a prediction unit 116 .

The information control device 10 is a computer that can improve convenience for users of the shuttle bus by improving the accuracy of predicting congestion conditions on the shuttle bus. In addition, the shuttle bus in this embodiment is a shuttle bus provided with a space where passengers can board while standing (hereinafter also referred to as a standing space). In other words, the information control device 10 according to the present embodiment predicts the congestion status of a shuttle bus with only standing spaces and a shuttle bus with standing spaces and seats. Specifically, the information control apparatus 10 according to the present embodiment predicts the degree of congestion using area information of the standing space on the shuttle bus and information of the occupied area of users who use the standing space.

The information control device 10 may be connected to a predetermined device via a communication network (hereafter, the communication network is also simply referred to as a network) or predetermined wireless communication. It does not matter whether the network is wired or wireless, and regardless of the type of communication protocol. The device may be, for example, an authentication device and a storage device.

The first image acquisition unit 110 acquires an image of a user who uses an outbound shuttle bus for transportation. The first image acquisition unit 110 acquires an image of the user using a camera installed, for example, inside the shuttle bus, at the entrance, or at a stop. The user's image includes the user's face image. Also, if the user possesses property, the image of the user includes the image of the user's property.

First image acquisition section 110 outputs the acquired image of the user to first information acquisition section 111 . Note that the first image acquisition unit 110 may store the user's image in a storage device (not shown). In this case, the first information acquisition unit 111 can acquire the user's image from the storage device.

The first information acquisition unit 111 acquires user information including the user's face information and occupied area information based on the user's image acquired by the first image acquisition unit 110 . The first information acquisition unit 111 acquires the user's face information from the face image included in the user's image. For example, the first information acquisition unit 111 may acquire the user's face information by extracting the user's face information from the face image included in the user's image. The first information acquisition unit 111 also acquires the user's face information by transmitting the user's image to an external authentication device and causing the authentication device to extract the user's face information from the user's image. good. Face information is facial feature information that can be acquired from a face image, and is data (feature amount) calculated from physical features unique to an individual.

Also, the first information acquisition unit 111 acquires the user's occupied area information from the user's image. The area occupied by the user is the area of the user when the user is viewed from above, specifically, the horizontally projected area when the user is viewed from above when the user stands up. The area occupied by the user varies depending on the body type of the user. The larger the user's figure, the larger the user's occupied area. Similarly, the smaller the user's body size, the smaller the user's footprint. In addition, when the user has a property, the user's occupation area information may include the occupation area information of the property. The area of the property is the horizontal projected area of the property when the property is viewed from above.

Note that the first information acquisition unit 111 may acquire the user's occupied area information by other methods. For example, the first information acquisition unit 111 may acquire information about the body shape of the user from the image of the user, and acquire the occupied area information based on the information about the body shape. For example, the first information acquisition unit 111 classifies the user's body type included in the user's image into S, M, L, XL, etc., and associates the body type classification data with the occupied area information in a database (not shown). By referring to, the occupied area information corresponding to the body type of the user may be acquired.

Similarly, the first information acquisition unit 111 classifies the size of the belongings included in the user's image into S, M, L, XL, etc., and associates the classification data of the belongings with the occupied area information in a database. (not shown) to acquire the occupied area information of the owned item. That is, the occupied area information acquired by the first information acquisition unit 111 may be calculated based on the user's body shape or the user's body shape and belongings included in the user's image.
As described above, the first information acquisition unit 111 can acquire the user's occupied area information based on the user's image acquired by the first image acquisition unit 110 .

The second image acquisition unit 112 acquires an image of the user who uses the pick-up/drop-off store. The second image acquisition unit 112 acquires an image of the user, for example, using a camera installed on a shopping cart (self-cart), cash register, store ceiling, or the like. The image of the user includes the image of the user's face and the image of the product purchased by the user. The image of the product may be an image of the product placed in the shopping cart, an image of the shopping bag after the user has packed the product, or an image of the product in the user's hand. It may be an image.

Second image acquisition section 112 outputs the acquired image of the user to second information acquisition section 113 . Note that the second image acquisition unit 112 may store the user's image in a storage device (not shown). In this case, the second information acquisition unit 113 can acquire the user's image from the storage device.

The second information acquisition unit 113 acquires the user's face information and the occupied area information of the product purchased by the user based on the user's image acquired by the second image acquisition unit 112 . The second information acquisition unit 113 acquires the user's face information from the face image included in the user's image acquired by the second image acquisition unit 112 . For example, the second information acquisition unit 113 may acquire the user's face information by extracting the user's face information from the face image included in the user's image. In addition, the second information acquisition unit 113 transmits the user's image to an external authentication device and causes the authentication device to extract the user's face information from the user's image, thereby acquiring the user's face information. good.

Also, the second information acquisition unit 113 acquires the occupied area information of the product from the image of the product included in the user's image. The occupied area of the product is the horizontal projection area of the product when the product is viewed from above.

Note that the second information acquisition unit 113 may acquire the occupied area information of the product by another method. For example, the second information acquisition unit 113 may calculate the occupied area based on the size of the product included in the user's image. For example, the second information acquisition unit 113 classifies the sizes of products included in the user's image into categories such as S, M, L, and XL, and uses a database (not shown) that associates product classification data with occupation area information. ) to acquire the occupied area information of the product.
That is, the second information acquisition unit 113 can acquire the occupied area information of the product based on the image of the user acquired by the second image acquisition unit 112 .

The face authentication control unit 114 controls face authentication using user information about the user's face information acquired by the second information acquisition unit 113 . For example, the face authentication control unit 114 transmits the user's face information acquired by the second information acquisition unit 113 to an authentication device that stores face information in advance using user information, and transmits the face information to the authentication device. Let authentication take place. Note that the authentication device may be provided inside the face authentication control unit 114 or may be provided outside. When the information control device 10 incorporates an authentication device, the face authentication control unit 114 performs face authentication processing by matching face information.

When the face authentication is successful, the update unit 115 updates the occupation area information included in the user information using the occupation area information of the product. That is, the occupied area information of the product is added to the occupied area information of the user.

The prediction unit 116 predicts the congestion status of the return flight of the shuttle bus based on the user information. The prediction unit 116 predicts the congestion status of the return flight based on the occupied area information included in the user information updated by the update unit 115 . For example, if the area of the return flight is 50,000 cm ² , the prediction unit 116 calculates the degree of congestion by dividing the total area occupied by the users of the return flight by 50,000 cm ² . The area of the return flight is the area of the portion other than the seats of the shuttle bus, that is, the total area of the standing space of the return flight.

For example, if the total occupied area of the users who use the return flight is 10,000 cm ² , the prediction unit 116 divides the total occupied area of 10,000 cm ² of the users by the area of the return flight of 50,000 cm ² . The degree of congestion is calculated as 20%. Thereby, the prediction unit 116 can calculate the degree of congestion using the area occupied by the user and the area of the shuttle bus. Note that the area of the shuttle bus is an example, and the upper limit may be set from the viewpoint of convenience, and may be changed as appropriate.

According to the information control device 10 according to the first embodiment, it is possible to accurately predict the congestion situation on the shuttle bus in consideration of the area of the product purchased by the user at the store. According to the information control apparatus 10 according to the first embodiment, it is possible to provide users with a service using an accurate prediction result, so it is possible to improve convenience for users who use shuttle buses.

If there are multiple shuttle bus routes, the user information may include information on the outbound route used by the user. For example, a route A is a route from a bus stop A to a store. The prediction unit 116 predicts the congestion status of the return flight on the route A, assuming that the user who used the outbound flight on the route A will use the return flight on the route A. Specifically, the prediction unit 116 divides the total occupied area of users using route A by the area of the return flight of route A to calculate the degree of congestion. For example, if the total occupied area of users using the return flight on route A is 10,000 cm ² , the prediction unit 116 divides the total occupied area of 10,000 cm ² of users by the area of the return flight of 50,000 cm ^{2 .} Therefore, the degree of congestion is calculated as 20%.

Further, if the shuttle bus has not only standing spaces but also seats, the prediction unit 116 may calculate the degree of congestion in consideration of the number of seats on the shuttle bus. For example, when 30 users board a shuttle bus with 10 seats, assuming that the 10 users are seated, the congestion degree is may be calculated. Specifically, if the total occupied area of 20 users is 40,000 cm ² , the congestion degree is 80 by dividing the total occupied area of 40,000 cm ² of the users by the area of the return flight of 50,000 cm ² . %. As a method of selecting users who use seats, for example, assuming that they line up in the waiting queue for the return flight in order of earliest update by the update unit 115, 10 users whose seats are updated quickly by the update unit 115 select seats. may be presumed to be used. In this case, the occupied areas of the ten users using the seats may be excluded from the total occupied areas of the users. Also, the user who uses the seat may be arbitrarily selected. For ease of explanation, an example of a shuttle bus with only standing spaces without considering the number of seats will be described below.

The second information acquisition unit 113 may acquire information about the user's shopping end time. In this case, the prediction unit 116 can predict the return trip of the shuttle bus that the user can use based on the user information and the shopping end time information, and can predict the congestion situation of the return trip of the shuttle bus.

The second information acquisition unit 113 may estimate the time when the user completes payment as the shopping end time. For example, the second information acquisition unit 113 determines whether or not the user is in the process of payment based on the image of the user acquired by the second image acquisition unit 112. If it is determined that the user is in the process of payment, The time of payment may be estimated as the shopping end time. Further, for example, the second information acquiring unit 113 may determine that the payment is completed when the user passes through the cash register, and estimate the time when the user passes through the cash register as the shopping end time.

Also, in the case of shopping at a facility with a plurality of stores such as a shopping mall, the second information acquisition unit 113 may estimate the time of completion of payment at the last store as the shopping end time. For example, a shopping cart may be provided with a shopping end button, and the user may be asked to press the shopping end button when the payment at the last store is completed, thereby determining the user's shopping end time.

The prediction unit 116 can predict the return flight of the shuttle bus available to the user based on the user information and the information on the shopping end time. For example, when the shopping end time is 12:40, the user's route included in the user information is route A, and the next flight after the return flight of route A is 13:00, the prediction unit 116 predicts that the user will be at 13:00. : It is predicted that the return flight of route A departing from 00 will be used. Based on the user information, the prediction unit 116 can predict the degree of congestion on the return flight of route A departing at 13:00 using the user's occupied area information.

Note that the user information may include information about the location of the store where the user finished shopping. The prediction unit 116 may calculate the travel time from the store where the user finished shopping to the shuttle bus stop based on the user information. For example, the prediction unit 116 predicts that the shopping end time is 12:55, the user's route included in the user information is route A, and the return flight of route A and the next flight depart at 13:00 and 13:00. If there are 20 departures and the calculated travel time is 10 minutes, it is predicted that the user will not be in time for the return flight on route A departing at 13:00 and will use the return flight on route A departing at 13:20. may Based on the user information, the prediction unit 116 can predict the degree of congestion on the return flight of route A departing at 13:20 using the user's occupied area information.

Although an example of calculating the travel time from the location of the store where the user finished shopping to the shuttle bus stop has been described, it is assumed that the user will use the shuttle bus after a predetermined time from the time when the user finishes shopping. A return flight may be predicted. Alternatively, instead of the location of the store where the shopping ended, the travel time may be calculated based on the distance between the user's position at the end of shopping and the position on which the shuttle bus is boarded. The user's position information can be obtained from, for example, the installation position of a camera capable of capturing an image of the user.

As described above, according to the information control apparatus 10 according to the first embodiment, by improving the prediction accuracy of the congestion situation on the shuttle bus, it is possible to provide the user with a service using an accurate prediction result. can. That is, according to the information control device 10 according to the first embodiment, it is possible to improve convenience for users who use the shuttle bus.

Next, processing performed by the information control device 10 will be described with reference to FIG. FIG. 2 is a flow chart showing the information control method of the information control device 10 according to the first embodiment.

The first image acquisition unit 110 acquires an image of a user who uses an outbound shuttle bus for transportation (step S1). The first image acquisition unit 110 acquires an image of the user using a camera installed, for example, inside the shuttle bus, at the entrance, or at a stop. The camera may be installed at any position where it is possible to photograph the user using the shuttle bus, for example, at least one of the inside of the shuttle bus, the entrance, and the stop. When a plurality of cameras are used, images of the user can be captured from a plurality of angles, so the accuracy of the user information acquired by the first information acquisition unit 111 can be improved. First image acquisition section 110 outputs the acquired image of the user to first information acquisition section 111 .

The first information acquisition unit 111 acquires user information including the user's face information and occupation area information based on the user's image acquired by the first image acquisition unit 110 (step S2). The first information acquisition unit 111 acquires the user's face information from the face image included in the user's image. In addition, the above-mentioned method can be used for the calculation method of occupied area information. Step S1 and step S2 may be performed repeatedly.

Note that the face information and the occupied area information are not limited to being directly associated with each other, and may be associated with each other indirectly. For example, a first storage device inside the information control device 10 associates and stores the user ID and the occupied area information, and a second storage device outside the information control device 10 associates the user ID and face information. You can also store it with it. Here, the second storage device may be an authentication device. For example, the authentication device issues a user ID, which is user identification information, and stores the user ID and the user's face information in association with each other. The first information acquisition unit 111 may associate the user ID issued by the authentication device with the occupied area information and store them in the first storage device. Therefore, it can be said that the face information and the occupied area information are associated via the user ID.

FIG. 3 is a diagram showing an example of user information. As shown in FIG. 3, for example, the user information includes information such as user ID, face information, occupied area information, shopping status, and scheduled return flight. The occupied area information includes body type, belongings, goods, and total occupied area information. Note that the user information is merely an example, and may include other items and may be changed as appropriate.

As shown in FIG. 3, for example, the user with user ID #1 has an area based on the user's body shape of 800 cm ² , an area of belongings of 200 cm ² , and a total occupied area of 1,000 cm ² . The shopping situation has not yet started, and the scheduled return flight is undecided. It should be noted that it may be assumed that if the user uses route A for the outbound flight, the user uses route A for the return flight as well. Also, the return flight scheduled to be used may be determined based on the user's shopping end time.

Similarly, the user with user ID #n has an area based on the user's body shape of 900 cm ² and an area of belongings of 500 cm ² , for a total occupied area of 1,400 cm ² . The shopping situation has not yet started, and the scheduled return flight is undecided.

The second image acquisition unit 112 acquires an image of the user who uses the pick-up/drop-off store (step S3). The second image acquisition unit 112 acquires an image of the user, for example, using a camera installed on a shopping cart (self-cart), cash register, store ceiling, or the like. In addition, the camera may be installed at any position where it is possible to photograph the user using the store, for example, at least one of the shopping cart (self-cart), the cash register, and the ceiling of the store. good. When using a plurality of cameras, it is possible to capture images of the user from a plurality of angles. can be improved. Second image acquisition section 112 outputs the acquired image of the user to second information acquisition section 113 .

The second information acquisition unit 113 acquires the user's face information and the occupied area information of the product purchased by the user based on the user's image acquired by the second image acquisition unit 112 (step S4). The second information acquisition unit 113 acquires the user's face information from the face image included in the user's image acquired by the second image acquisition unit 112 . In addition, the above-mentioned method can be used for the calculation method of occupied area information.

The face authentication control unit 114 controls face authentication using the user information about the user's face information acquired by the second information acquisition unit 113 (step S5). For example, the face authentication control unit 114 transmits the user's face information acquired by the second information acquisition unit 113 to an authentication device that stores face information in advance using user information, and transmits the face information to the authentication device. Let authentication take place. For example, the authentication device compares the user's face information acquired from the face authentication control unit 114 with stored face information. As described above, the authentication device may associate and store identification information and face information of a plurality of users.

The face authentication control unit 114 determines whether or not the authentication has succeeded (step S6). The face authentication control unit 114 determines whether or not the authentication is successful based on, for example, the authentication result received from the authentication device. For example, when the authentication result indicates authentication failure, the face authentication control unit 114 does not determine that the authentication has succeeded (step S6: NO). In this case, the information control device 10 terminates the processing.

On the other hand, when the authentication result received from the authentication device indicates successful authentication, the face authentication control unit 114 determines that the authentication has succeeded (step S6: YES). When the face authentication is successful (step S6: YES), the update unit 115 updates the occupation area information included in the user information using the occupation area information of the product (step S7). That is, the occupied area information of the product is added to the occupied area information. Note that steps S3 to S7 may be repeatedly executed.

FIG. 4 is a diagram showing an example of user information. The updating unit 115 updates the occupied area information included in the user information. Specifically, as shown in FIG. 4, the items of product and total in the occupied area information are updated. Note that the user information is merely an example, and may include other items and may be changed as appropriate.

From FIG. 4, for example, the user with the user ID #1 has an area based on the user's body shape of 800 cm ² , an area of the property owned by the user of 200 cm ² , an area of the product of 100 cm ² , and a total occupied area of 1,100 cm ² . have The shopping situation is in progress, and the return flight is undecided. Until the shopping end time is determined, for example, each time the user adds an item to the shopping cart, the product occupation area information may be updated, and the product occupation area information may be updated at predetermined intervals. may be In addition, it may be determined that shopping is being performed from the time the user enters the store, or that shopping is being performed from the time the user uses the shopping cart. It may be determined that the shopping is being carried out from the point of time. In other words, the determination of the shopping situation may be set arbitrarily.

The second information acquisition unit 113 may acquire information about the user's shopping end time. 5 and 6 are diagrams showing an example of user information. When the second information acquisition unit 113 acquires the information about the user's shopping end time, the updating unit 115 may update the shopping status item in the user information. For example, as shown in FIG. 5, when the second information acquisition unit 113 acquires information about the shopping end time of the user ID #1, the shopping status may be updated to end. Note that the user information is merely an example, and may include other items and may be changed as appropriate.

The prediction unit 116 predicts the congestion status of the return flight of the shuttle bus based on the user information (step S8). The prediction unit 116 predicts the congestion status of the return flight based on the occupied area information included in the user information updated by the update unit 115 . As a method of calculating the degree of congestion, the above-described method can be used.

The prediction unit 116 may also predict the return flight of the shuttle bus that the user can use based on the user information and the shopping end time information, and predict the congestion status of the return flight of the shuttle bus. For example, as shown in FIGS. 5 and 6, the prediction unit 116 can predict the return flight scheduled for the user.

FIG. 7 is a diagram showing an example of congestion on a shuttle bus. The prediction unit 116 predicts the congestion status of the return flight of the shuttle bus based on the user information. The above-described method can be used as a method of calculating the degree of congestion. From FIG. 7, the congestion degree of the return flight with flight number A is 100%, the congestion degree of the return flight with flight number B is 0%, and the congestion degree of the return flight with flight number C is 10%. The degree of congestion of the return flight of the name D is 10%. The prediction result of the congestion state by the prediction unit 116 may be updated until the departure time of the return flight of the shuttle bus.

The information control device 10 according to the first embodiment has been described above. The information control device 10 includes a processor, a memory, and a storage device (not shown). The storage device also stores a computer program (hereinafter simply referred to as a program) in which the processing of the information control method according to the present embodiment is implemented. The processor also loads a computer program from the storage device into the memory and executes the program. As a result, the processor includes a first image acquisition unit 110, a first information acquisition unit 111, a second image acquisition unit 112, a second information acquisition unit 113, a face authentication control unit 114, an update unit 115, and a prediction unit. It implements the function of the unit 116 .

Each configuration of the information control device 10 may be realized by dedicated hardware. Also, part or all of each component may be implemented by a general-purpose or dedicated circuit, processor, etc., or a combination thereof. These may be composed of a single chip, or may be composed of multiple chips connected via a bus. A part or all of each component of each device may be implemented by a combination of the above-described circuits and the like and programs. As the processor, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (field-programmable gate array), a quantum processor (quantum computer control chip), or the like can be used.

Further, when part or all of each component of the information control device 10 is realized by a plurality of information control devices, circuits, etc., the plurality of information control devices, circuits, etc. may be centrally arranged, They may be distributed. For example, the information control device, circuits, etc. may be realized as a form in which each is connected via a communication network, such as a client-server system, a cloud computing system, or the like. Also, the functions of the information control device 10 may be provided in a SaaS (Software as a Service) format.

The information control apparatus 10 according to the first embodiment can improve the prediction accuracy of the congestion situation on the shuttle bus by providing the above configuration. Therefore, according to the information control device 10 according to the first embodiment, it is possible to improve convenience for users who use the shuttle bus.

<Second embodiment>
The information control device 20 according to the second embodiment has a notification unit that notifies the user of the congestion status of the return flight of the shuttle bus, and adjusts the operation of the return flight of the shuttle bus based on the congestion status of the return flight of the shuttle bus. further comprising an adjusting unit for Thus, according to the information control device 20 according to the second embodiment, it is possible to further improve convenience for users who use the shuttle bus.

FIG. 8 is a block diagram showing the configuration of an information control device 20 according to the second embodiment. The information control device 20 according to the second embodiment additionally includes a notification unit 117 and an adjustment unit 118 compared to the information control device 10 according to the first embodiment. In the information control device 20 according to the second embodiment, the same components as those of the information control device 10 according to the first embodiment are denoted by the same reference numerals, and the same contents as in the first embodiment are Detailed description will be omitted as appropriate. Differences from the first embodiment will be mainly described below.

The notification unit 117 notifies the user of the congestion status of the return flight of the shuttle bus. The notification unit 117 can notify the congestion status of the return flight of the shuttle bus on a guidance display or the like in the store. Thereby, the user can easily confirm the accurate congestion status of the return flight of the shuttle bus. Therefore, according to the information control device 20 according to the second embodiment, user convenience can be improved. A display may be installed in the shopping cart, and the congestion situation may be displayed on the display provided in the shopping cart, or may be notified to the user by another method.

The adjusting unit 118 adjusts the operation of the return shuttle bus based on the congestion status of the return shuttle bus. According to the information control apparatus 20 according to the second embodiment, user convenience can be improved by increasing and decreasing the number of shuttle buses by the adjustment unit 118 . The method of adjusting the operation of the shuttle bus may be changed according to the type of store.

Next, processing performed by the information control device 20 will be described with reference to FIG. FIG. 9 is a flow chart showing an information control method of the information control device 20 according to the second embodiment. The processing of the information control device 20 according to the second embodiment includes steps S9 to S13 shown in FIG. 9 in addition to steps S1 to S8 shown in FIG. Step S9 in FIG. 9 is processing after step S8 in FIG. To simplify the explanation, the explanation of steps S1 to S8 is omitted.

The notification unit 117 notifies the user of the congestion status of the return flight of the shuttle bus (step S9). Thereby, the user can confirm the accurate congestion status of the return flight of the shuttle bus. FIG. 10 is an example of the display screen of the guidance display. For example, as shown in FIG. 10, the notification unit 117 can notify the user of the congestion status of each return flight of the shuttle bus. For example, the notification unit 117 can improve convenience for the user by displaying the flight number, departure time, destination, degree of congestion, and the like of the return flight of the shuttle bus on the display. Note that the display content may be updated as appropriate. Also, the display screen is merely an example, and may be changed as appropriate.

The adjustment unit 118 determines whether or not the degree of congestion for a predetermined return flight is 100% or more based on the congestion status of the return flight of the shuttle bus (step S10). When the degree of congestion for a predetermined return flight is 100% or more (step S10: YES), the adjustment unit 118 instructs the operation control center of the shuttle bus or the like to increase the number of return flights (step S11). On the other hand, if the degree of congestion for a predetermined return flight is not 100% or more (step S10: NO), the adjustment unit 118 does not instruct to increase the number of flights.

The adjustment unit 118 determines whether or not the degree of congestion for a predetermined return flight is 0%, based on the congestion status of the return flight of the shuttle bus (step S12). When the degree of congestion for a predetermined return flight is 0% (step S12: YES), the adjustment unit 118 instructs the operation control center of the shuttle bus or the like to stop operation of the return flight. On the other hand, if the degree of congestion for the predetermined return flight is not 0% (step S12: NO), the adjustment unit 118 does not instruct to stop the operation.

FIG. 11 is a diagram showing an example of operation adjustment. As shown in FIG. 11, the return flight with flight number A has a degree of congestion of 100%. As a result, congestion on the shuttle bus can be alleviated. In addition, since the return flight with flight number B has a degree of congestion of 0%, the adjustment unit 118 instructs the operation of the return flight with flight number B to be stopped. With these, shuttle buses can be deployed effectively.

As described above, the information control device 20 according to the second embodiment notifies the user of the congestion situation, thereby notifying the user of accurate congestion information in advance before the user heads to the shuttle bus waiting area. can be done. This will help reduce congestion on shuttle buses. In addition, the information control device 20 according to the second embodiment can determine whether to increase or decrease the number of shuttle buses by using the prediction result of the congestion situation of the shuttle buses, and effectively deploy the shuttle buses. be able to. Therefore, according to the information control device 20 according to the second embodiment, it is possible to further improve convenience for users who use the shuttle bus.

In the above-described embodiment, the hardware configuration is described, but the configuration is not limited to this. The present disclosure can also implement arbitrary processing by causing a CPU to execute a computer program. The information control device 10 or 20 and the authentication device may be separate devices, or the information control device 10 or 20 may be configured to include the function of the authentication device.

Each configuration in the above-described embodiments is configured by hardware or software, or both, and may be configured from one piece of hardware or software, or may be configured from multiple pieces of hardware or software. The function (processing) of each device may be realized by a computer having a CPU (Central Processing Unit), memory, and the like. For example, a program for performing the method in the embodiment may be stored in a storage device, and each function may be realized by executing the program stored in the storage device with a CPU.

A program according to the present embodiment includes steps of acquiring an image of a user who uses an outbound shuttle bus for pick-up, and based on the acquired image of the user who uses an outbound shuttle bus, the user's face information and a step of acquiring user information including occupied area information; a step of acquiring an image of the user who uses the shop of the pick-up destination; a step of acquiring information on the area occupied by the product, a step of controlling face authentication using the acquired face information of a user who uses the store, using the user information, and a step of controlling the area occupied by the product if the face authentication is successful. A program for causing a computer to execute a step of updating occupied area information included in user information using information, and a step of predicting the congestion status of a return flight of a shuttle bus based on the user information.

A program includes instructions (or software code) that, when read into a computer, cause the computer to perform one or more of the functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or tangible storage medium. By way of example, and not limitation, computer readable media or tangible storage media may include random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drives (SSD) or other memory technology, CDs -ROM, digital versatile disk (DVD), Blu-ray disc or other optical disc storage, magnetic cassette, magnetic tape, magnetic disc storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example, and not limitation, transitory computer readable media or communication media include electrical, optical, acoustic, or other forms of propagated signals.

It should be noted that the present invention is not limited to the above embodiments, and can be modified as appropriate without departing from the scope of the invention.

10 information control device 20 information control device 110 first image acquisition unit 111 first information acquisition unit 112 second image acquisition unit 113 second information acquisition unit 114 face authentication control unit 115 update unit 116 prediction unit 117 notification unit 118 adjuster

Claims (7)

a first image acquisition unit that acquires an image of a user who uses an outbound shuttle bus for pick-up;
a first information acquisition unit that acquires user information including face information and occupied area information of the user based on the image of the user acquired by the first image acquisition unit;
a second image acquisition unit that acquires an image of the user who uses the pick-up store;
a second information acquisition unit that acquires face information of the user and information on the occupied area of the product purchased by the user based on the image of the user acquired by the second image acquisition unit;
a face authentication control unit that controls face authentication using the user information for the user's face information acquired by the second information acquisition unit;
an updating unit that updates the occupied area information included in the user information using the occupied area information of the product when the face authentication is successful;
a prediction unit that predicts the congestion status of the return flight of the shuttle bus based on the user information;
Information controller. The second information acquisition unit acquires information about the user's shopping end time,
The prediction unit predicts the return flight of the shuttle bus used by the user based on the user information and the information on the shopping end time, and predicts the congestion status of the return flight of the shuttle bus.
The information control device according to claim 1. Further comprising a notification unit that notifies the user of the congestion status of the return flight of the shuttle bus,
3. The information control device according to claim 1 or 2. Further comprising an adjustment unit that adjusts the operation of the return flight of the shuttle bus based on the congestion status of the return flight of the shuttle bus,
The information control device according to any one of claims 1 to 3. The occupied area information acquired by the first information acquisition unit is calculated based on the user's body shape or the user's body shape and belongings included in the user's image,
The information control device according to any one of claims 1 to 4. The information control device
Acquire the image of the user who uses the outbound shuttle bus for pick-up,
acquiring user information including face information and occupied area information of the user based on the acquired image of the user who uses the outbound flight of the shuttle bus;
Acquiring an image of the user who uses the pick-up store,
Acquiring face information of the user and occupied area information of products purchased by the user based on the acquired image of the user who uses the store;
controlling face authentication using the user information for the acquired face information of the user who uses the store;
updating the occupied area information included in the user information using the occupied area information of the product when the face authentication is successful;
Predicting the congestion status of the return flight of the shuttle bus based on the user information;
Information control method. a step of acquiring an image of a user who uses an outbound shuttle bus for pick-up;
acquiring user information including face information and occupied area information of the user based on the acquired image of the user who uses the outbound flight of the shuttle bus;
a step of acquiring an image of the user who uses the pick-up store;
a step of acquiring face information of the user and occupied area information of products purchased by the user based on the acquired image of the user who uses the store;
a step of controlling face authentication using the user information for the obtained face information of the user who uses the store;
updating the occupied area information included in the user information using the occupied area information of the product when the face authentication is successful;
predicting the congestion status of the return flight of the shuttle bus based on the user information;
A program that causes a computer to run

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