JP2021003972A - Information processor, station management system, station management equipment and program - Google Patents

Abstract

To provide a highly convenient information processor, station management system, station management equipment and program.SOLUTION: An information processor in one embodiment comprises a communication interface and a processor. The communication interface acquires a first picture of a train vehicle inside taken from a front position in a travel direction and a second picture of the vehicle inside taken from a rear position in the travel direction. The processor outputs vehicle congestion information indicating the in-vehicle congestion state per vehicle based on the first and second pictures through the communication interface.SELECTED DRAWING: Figure 2

Description

Embodiments of the present invention relate to information processing devices, station affairs systems, station affairs equipment, and programs.

Information on the availability of reserved seats on the Shinkansen or limited express trains is provided to users through a reservation system or the like. However, the availability of unreserved seats is not provided to users.

For example, there is a technique for grasping the seating status of a non-reserved seat user by using a sensor provided for each seat or an IC card reader.

However, in such a configuration, there is a problem that sensors or IC card readers are required for the number of seats, which is costly. Another problem is that it is not possible to detect a user who is not seated (for example, a user standing in the aisle).

Japanese Unexamined Patent Publication No. 7-244783

An object of the present invention is to provide a highly convenient information processing device, station affairs system, station affairs equipment, and program.

The information processing device according to one embodiment includes a communication interface and a processor. The communication interface acquires a first image of the inside of the train from the front in the traveling direction and a second image of the inside of the train from the rear in the traveling direction. Based on the first image and the second image, the processor outputs vehicle congestion information indicating the state of congestion in the vehicle for each vehicle by the communication interface.

FIG. 1 is an explanatory diagram for explaining a configuration example of a station affairs system according to an embodiment. FIG. 2 is an explanatory diagram for explaining a configuration example of the station affairs system according to the embodiment. FIG. 3 is an explanatory diagram for explaining an example in the vehicle of the train according to the embodiment. FIG. 4 is an explanatory diagram for explaining an example of processing of the data center according to the embodiment. FIG. 5 is an explanatory diagram for explaining an example of the first image according to the embodiment. FIG. 6 is an explanatory diagram for explaining an example of the second image according to the embodiment. FIG. 7 is an explanatory diagram for explaining an example of the result of the image analysis according to the embodiment. FIG. 8 is an explanatory diagram for explaining an example in the vehicle of the train according to the embodiment. FIG. 9 is an explanatory diagram for explaining an example of the first image according to the embodiment. FIG. 10 is an explanatory diagram for explaining an example of the second image according to the embodiment. FIG. 11 is an explanatory diagram for explaining an example of a congestion information providing screen according to an embodiment. FIG. 12 is an explanatory diagram for explaining an example of a congestion information providing screen according to an embodiment.

Hereinafter, the information processing device, the station affairs system, the station affairs equipment, and the program will be described in detail with reference to the drawings.

FIG. 1 is an explanatory diagram for explaining the station affairs system 1 according to the embodiment. FIG. 2 is an explanatory diagram for explaining each configuration of the station affairs system 1.

The station affairs system 1 includes a train 11, a data center 12 that manages the operation status of the train 11, and various station affairs devices 13 provided for each station where the train 11 stops. The train 11, the data center 12, and the station affairs equipment 13 are configured to be communicable. The data center 12 is configured to be able to communicate with the public network 14. The mobile terminal 15 owned by the railroad user can also access the public network 14. That is, the mobile terminal 15 can acquire predetermined information from the data center 12 via the network 14.

The station affairs equipment 13 is, for example, a guide display board 21 that supplies various information to the users (passengers) of the train 11, a ticket vending machine 22 for the passengers to purchase a ticket for the train 11.

The mobile terminal 15 may be any device such as a personal computer, a smartphone, or a tablet. The mobile terminal 15 may be configured to include at least a processor capable of executing a program, a memory storing the program, a communication interface accessible to the network 14, an operation interface, and a display.

By accessing the data center 12, the mobile terminal 15 can display a screen for purchasing a ticket for a reserved seat or a non-reserved seat such as a Shinkansen or a limited express train on a display. In addition, the mobile terminal 15 can purchase a ticket by accessing the data center 12 based on the operation of the operation interface.

First, the configuration of the train 11 will be described.
The train 11 includes a train control device 31 and a plurality of vehicles 32.
The train control device 31 controls the operation of the train 11 and the operation of various devices in each vehicle 32. The train control device 31 includes a system controller 33 and a communication interface 34.

The system controller 33 includes a processor 35 and a memory 36.

The processor 35 includes an arithmetic element (for example, a CPU) that executes arithmetic processing. The processor 35 executes various operations by executing a program stored in the memory 36.

The memory 36 stores the program, data used in the program, and the like.

The communication interface 34 is an interface for communicating with a device other than the train 11. The communication interface 34 is configured to be able to communicate with the data center 12. Further, the communication interface 34 is configured to be able to communicate with various configurations provided in the plurality of vehicles 32 constituting the train 11.

The vehicle 32 includes a cabin provided with a plurality of seats, and a first camera 37 and a second camera 38 that image the interior of the cabin.

FIG. 3 is an explanatory diagram for explaining the first camera 37 and the second camera 38 provided in the passenger compartment of the vehicle 32.

The first camera 37 and the second camera 38 are cameras including an optical system and an image sensor. The first camera 37 and the second camera 38 convert the light imaged by the optical system into an image (image data) by the image sensor. The first camera 37 and the second camera 38 supply the acquired image to the train control device 31. The first camera 37 and the second camera 38 are configured as, for example, surveillance cameras provided in the passenger compartment of the vehicle 32.

For example, the first camera 37 is provided at the front end of the vehicle 32 in the passenger compartment in the traveling direction. The first camera 37 is a camera arranged so that the optical axis of the optical system faces in the direction opposite to the traveling direction of the vehicle 32. The first camera 37 is installed at a predetermined height. For example, the first camera 37 is attached to the ceiling or the like in the guest room.

Further, for example, the second camera 38 is provided at the rear end of the vehicle 32 in the passenger compartment in the traveling direction. The second camera 38 is a camera arranged so that the optical axis of the optical system faces the traveling direction of the vehicle 32. The second camera 38 is installed at a predetermined height. For example, the second camera 38 is attached to the ceiling or the like in the guest room.

That is, the first camera 37 and the second camera 38 are configured to image the inside of the cabin from at least a direction along the traveling direction of the vehicle 32 and a direction opposite to the traveling direction of the vehicle 32. There is. The roles of the first camera 37 and the second camera 38 are switched when the traveling direction of the vehicle 32 is switched.

The seats on which passengers sit are basically oriented in the direction of travel. Since the first camera 37 images the inside of the passenger compartment from the front side in the traveling direction of the vehicle 32, the face of the passenger sitting in the seat can be imaged. That is, there is a high possibility that the face of the passenger sitting in the seat is captured in the first image acquired by the first camera 37.

In addition, the seat on which the passenger sits is configured so that the passenger can arbitrarily change the direction in the opposite direction of the traveling direction. Since the second camera captures the inside of the vehicle 32 from the rear side in the traveling direction of the vehicle 32, it can capture the face of a passenger sitting in the seat turned upside down. That is, the second image acquired by the second camera is likely to show the face of a passenger sitting in an inverted seat.

Further, a first camera 37 and a second camera 38 may be further provided in the passenger compartment of the vehicle 32. For example, in the example of FIG. 3, another pair of a first camera 37 and a second camera 38 is provided near the center of the cabin. Further, a camera that can change the direction of the vehicle 32 in the direction opposite to the direction of travel may be provided near the center of the passenger compartment. In this case, one camera can satisfy the functions of both the first camera 37 and the second camera 38.

Next, the configuration of the data center 12 will be described.
The data center 12 is an information processing device that processes information supplied from the train 11, information supplied from the station affairs equipment 13 at each station, and information supplied from the mobile terminal 15 via the network 14. Further, the data center 12 supplies information to the train 11, supplies information to the station affairs equipment 13 at each station, and supplies information to the mobile terminal 15 via the network 14. The data center 12 includes a system controller 41 and a communication interface 42.

The system controller 41 includes a processor 43 and a memory 44.

The processor 43 includes an arithmetic element (for example, a CPU) that executes arithmetic processing. The processor 43 executes various operations by executing a program stored in the memory 44.

The memory 44 stores the program, data used in the program, and the like.

The communication interface 42 is an interface for communicating with a device other than the data center 12. The communication interface 42 is configured to be able to communicate with the train 11. Further, the communication interface 42 is configured to be able to communicate with the station affairs equipment 13 of each station. Further, the communication interface 42 is configured to be able to communicate with the mobile terminal 15 via the network 14.

Next, the configuration of the guidance display board 21, which is one of the station affairs equipment 13, will be described.
The guidance display board 21 supplies various information to the passengers based on the information received from the data center 12. The guidance display board 21 includes a display 51 and a communication interface 52.

The display 51 displays a screen in response to a video signal input from a processor, a graphic controller (not shown), or the like.

The communication interface 52 is an interface for communicating with a device other than the guidance display board 21. The communication interface 52 is configured to be able to communicate with the data center 12.

Further, the guidance display board 21 may be configured to include a processor capable of executing the program and a memory for storing the program. In this case, the guidance display board 21 can generate a screen to be displayed on the display 51 and perform various processes on the information acquired by the communication interface 52 by executing the program by the processor.

Next, the configuration of the ticket vending machine 22, which is one of the station affairs equipment 13, will be described.
The ticket vending machine 22 is a device for issuing a ticket. The ticket vending machine 22 includes a system controller 61, a communication interface 62, a display 63, an operation interface 64, a ticket issuing unit 65, and the like.

The system controller 61 includes a processor 66 and a memory 67.

The processor 66 includes an arithmetic element (for example, a CPU) that executes arithmetic processing. The processor 66 executes various operations by executing a program stored in the memory 67.

The memory 67 stores the program, data used in the program, and the like.

The communication interface 62 is an interface for communicating with a device other than the ticket vending machine 22. The communication interface 62 is configured to be able to communicate with the data center 12.

The display 63 displays a screen in response to a video signal input from a system controller 61 or a graphic controller (not shown).

The operation interface 64 generates an operation signal based on the operation of the operation member. The operating member may be any, for example, a touch sensor or a keyboard. The touch sensor may be configured as a touch screen integrally with the display 63.

The ticketing unit 65 is a mechanism for issuing a ticket. The ticket issuing unit 65 includes, for example, a storage unit for a medium that can be used as a ticket, and a writing processing unit that makes the medium usable as a ticket by writing information on the medium.

Next, in the station affairs system 1 having the above configuration, a process for providing information to the user about the vacancy status (congestion degree) of reserved seats such as the Shinkansen or limited express train will be described.
First, an outline will be described.
The data center 12 of the station affairs system 1 determines the congestion status in the vehicle 32 for each vehicle 32 based on the images (first image and second image) of the passenger compartment of the vehicle 32 captured by a plurality of cameras. Generate the vehicle congestion information to be shown. Specifically, the processor 43 of the system controller 41 of the data center 12 is inside the passenger compartment of the vehicle 32 based on images (first image and second image) of the passenger compartment of the vehicle 32 captured by a plurality of cameras. The degree of congestion of the seats (degree of seat congestion) and the degree of congestion of the passage in the passenger compartment of the vehicle 32 (degree of congestion of the passage) are calculated as vehicle congestion information. The data center 12 outputs the seat congestion degree and the aisle congestion degree as vehicle congestion information. For example, the data center 12 outputs the seat congestion degree and the aisle congestion degree to the guidance display board 21, the ticket vending machine 22, and the user's mobile terminal 15. Further, for example, the data center 12 may be configured to output only the degree of seat congestion to the guidance display board 21, the ticket vending machine 22, and the user's mobile terminal 15.

The information display board 21 receives the seat congestion degree and the aisle congestion degree from the data center 12, and provides a screen (congestion) for providing information (vehicle congestion information) regarding the congestion degree for each vehicle 32 of the train 11 to the user of the train 11. The information provision screen) is displayed on the display 51.

Further, the ticket vending machine 22 receives the seat congestion degree and the aisle congestion degree from the data center 12, and displays the congestion information providing screen on the display 63. The ticket vending machine 22 may display a congestion information providing screen incorporated in a screen for purchasing reserved seats and unreserved seats on the Shinkansen or limited express trains.

A monitoring panel (not shown) that controls the operation of the station affairs equipment 13 for each station may be configured to receive the seat congestion degree and the aisle congestion degree from the data center 12 and generate a congestion information providing screen. In this case, the monitoring board supplies and displays the generated congestion information providing screen to the guidance display board 21 and the ticket vending machine 22, respectively.

The data center 12 may be configured to generate a congestion information providing screen based on the degree of seat congestion and the degree of aisle congestion. That is, the data center 12 receives the seat congestion degree and the aisle congestion degree, generates a congestion information providing screen, and supplies and displays the congestion information providing screen to the guidance display board 21 and the ticket vending machine 22 of each station. You may.

Further, the data center 12 is configured to supply the mobile terminal 15 with a screen for purchasing reserved seats and unreserved seats such as a Shinkansen or a limited express train via the network 14 in response to a request from the user's mobile terminal 15. It may be. Further, the data center 12 may display a congestion information providing screen incorporated in a screen for purchasing reserved seats and unreserved seats of a Shinkansen or a limited express train.

Next, the process of calculating the seat congestion degree and the aisle congestion degree in the data center 12 will be described in detail.
FIG. 4 is a flowchart for explaining the processing in the data center 12.

The system controller 41 of the data center 12 acquires the first image from the train 11 (step S11). Further, the system controller 41 acquires a second image from the train 11 (step S12).

The system controller 33 of the train 11 has the first camera 37 and the first camera 37 and the second camera 38 so as to acquire images periodically or continuously by the first camera 37 and the second camera 38 provided in each vehicle 32. Controls the camera 38 of 2. The system controller 33 of the train 11 supplies the first image and the second image acquired by the first camera 37 and the second camera 38 to the data center 12. As a result, the system controller 41 acquires the first image and the second image from the train 11.

FIG. 5 is a diagram for explaining an example of the first image. The seats on which passengers sit are basically oriented in the direction of travel. As described above, the first image is an image captured by the first camera 37 that images the inside of the passenger compartment from the front side in the traveling direction of the vehicle 32. Therefore, as shown in FIG. 5, the first image is likely to show the face of the passenger sitting in the seat.

FIG. 6 is a diagram for explaining an example of the second image. The second image is an image taken by the second camera 38 that images the inside of the passenger compartment from the rear side in the traveling direction of the vehicle 32. Therefore, as shown in FIG. 6, the second image is likely to show the back of the head of the passenger sitting in the seat. In addition, the second image is likely to show the passengers sitting in the seats that have been changed in the opposite direction of travel. In this way, the face of the passenger sitting in the seat in the cabin is likely to move to either the first image or the second image.

When the system controller 41 of the data center 12 acquires the first image and the second image from the train 11, the system controller 41 performs image analysis on the first image and the second image, respectively (step S13).

The image analysis performed by the system controller 41 is a process of detecting a person in the image. For example, the system controller 41 performs face detection processing for detecting a region (face region) in which a person's face is captured from the image as image analysis. The system controller 41 performs face detection processing based on an image and a face detection model preset for detecting a person's face. The face detection model is a discriminative model generated in advance by machine learning based on a plurality of images including a face image of a person.

The system controller 41 may be configured to perform image analysis on the first image and the second image each time the first image and the second image are acquired from the train 11. Further, the system controller 41 may be configured to perform image analysis on the first image and the second image at predetermined time intervals, respectively. Further, the system controller 41 may be configured to perform image analysis on the first image and the second image at the timing when a predetermined time has elapsed since the train 11 departed from the station.

Further, for example, the system controller 41 may be configured to perform a process of detecting a region in which the head of a person is captured from the image as an image analysis.

FIG. 7 is an explanatory diagram for explaining an example of the result of image analysis. FIG. 7 shows the result of performing image analysis based on the first image.
As shown in FIG. 7, the result of the image analysis includes a first image and a face area detection result (for example, a bounding box) 71 indicating the position of the face area in the image superimposed on the first image. Have. That is, the result of the image analysis on the first image is a superposition of the face region detection result 71 on the first image. Further, the result of the image analysis on the second image is a superposition of the face region detection result 71 on the second image. The system controller 41 performs image analysis on each of the first image and the second image, and superimposes the face area detection result 71 on the image when there is a face area whose position does not change for a certain period of time. It may be.

The system controller 41 calculates the number of seats used based on the result of the image analysis (step S14). The number of seats used is the number of seats that passengers are presumed to be sitting on. As shown in FIG. 7, the face area detection result 71 of the seated passenger exists in the area of the backrest of the seat in the image. If the face area is present at the position of the backrest of the seat, it can be determined that the seat is being used.

The system controller 41 counts the number of face area detection results 71 existing at the position of the backrest of the seat. The system controller 41 counts the number of face region detection results 71 from the result of image analysis on the first image. Further, the system controller 41 counts the number of face region detection results 71 from the result of image analysis on the second image. The system controller 41 may be configured to count the number of face region detection results 71 whose positions do not change for a certain period of time based on a plurality of first images that are continuous in time. Further, the system controller 41 may be configured to count the number of face region detection results 71 whose position does not change for a certain period of time based on a plurality of second images that are continuous in time.

For example, the system controller 41 determines the number of face area detection results 71 counted from the result of image analysis on the first image and the number of face area detection results 71 counted from the result of image analysis on the second image. Add up. That is, the system controller 41 has the number of face area detection results 71 detected from the position of the seat backrest in the first image and the face area detection result 71 detected from the position of the seat backrest in the second image. Add up the numbers. As a result, the system controller 41 calculates the number of seats used (the number of seats used). The system controller 41 may combine the result of the image analysis for the first image and the result of the image analysis for the second image by another method instead of adding them together. Further, the system controller 41 may place importance on the result of the image analysis based on the first image with respect to the result of the image analysis based on the second image.

The system controller 41 calculates the degree of seat congestion based on the calculated number of seats used (step S15). For example, the seat congestion degree is information indicating the usage rate of seats in the vehicle 32. The memory 44 of the system controller 41 of the data center 12 stores the number of seats for each train 11 and for each vehicle 32. The system controller 41 calculates the degree of seat congestion as "the number of seats used / the number of seats in the vehicle". The degree of seat congestion may be a percentage of the "number of seats used" with respect to the "number of seats in the vehicle". Further, the degree of seat congestion may be the number of vacant seats in the vehicle relative to the number of seats in the vehicle. That is, the degree of seat congestion may be "(number of seats in the vehicle-number of seats used) / number of seats in the vehicle".

Next, the system controller 41 determines whether or not the calculated seat congestion degree is equal to or higher than a preset threshold value. (Step S16). The threshold value may be, for example, in the form of "number of seats used / number of seats in the vehicle" or may be a percentage. The system controller 41 may be configured to determine whether or not the number of seats used is equal to or greater than the threshold value, rather than determining whether or not the degree of seat congestion is equal to or greater than the threshold value. Further, the threshold value may be set to a different value for each vehicle 32.

When the system controller 41 determines that the seat congestion degree is less than the preset threshold value (step S16, NO), the system controller 41 outputs the seat congestion degree (step S17), and ends the process. When it is determined that the seat congestion level is less than the preset threshold value. The system controller 41 outputs the passage congestion degree as “low”. As described above, for example, the system controller 41 outputs the seat congestion degree and the aisle congestion degree to the user's mobile terminal 15 connected via the guide display board 21, the ticket vending machine 22, and the network 14. Further, the system controller 41 generates a congestion degree information providing screen based on the seat congestion degree and the aisle congestion degree, and the congestion degree information providing screen is connected via the guidance display board 21, the ticket vending machine 22, and the network 14. It may be configured to output to the user's mobile terminal 15 or the like.

Next, when the system controller 41 determines that the seat congestion degree is equal to or higher than a preset threshold value (step S16, YES), the system controller 41 calculates the number of standing passengers based on the result of the image analysis (step S18). .. The number of standing passengers is the number of passengers estimated to be standing.

FIG. 8 is an explanatory diagram for explaining an example in the vehicle 32 having a high degree of seat congestion. As shown in FIG. 8, when passengers are seated in almost all seats and further passengers get on the vehicle 32, some passengers stand in the aisle between the seats in the passenger compartment.

FIG. 9 is a diagram for explaining an example of a first image obtained by photographing the inside of the passenger compartment of the vehicle 32 of FIG. 8 with the first camera 37. Further, FIG. 10 shows the result of image analysis based on the first image of FIG. As shown in FIGS. 9 and 10, the face area detection result 71 of the standing passenger exists in the area other than the backrest of the seat in the image. Therefore, when the face area detection result 71 exists at a position other than the backrest of the seat, it can be determined that the passenger of the face area detection result 71 is standing in the aisle. Therefore, the system controller 41 counts the number of face area detection results 71 existing at positions other than the backrest of the seat.

The system controller 41 has the number of face area detection results 71 detected from positions other than the seat backrest in the first image and the face area detection result 71 detected from positions other than the seat backrest in the second image. Count and add up the numbers. As a result, the system controller 41 calculates the number of standing passengers (the number of standing passengers). The system controller 41 may combine the result of the image analysis for the first image and the result of the image analysis for the second image by another method instead of adding them together. Further, the system controller 41 may place importance on the result of the image analysis based on the first image with respect to the result of the image analysis based on the second image.

The system controller 41 calculates the aisle congestion degree based on the calculated number of standing passengers (step S19). For example, the aisle congestion degree is information indicating the degree of congestion between the seats in the vehicle 32. The system controller 41 determines as the passage congestion degree information indicating the degree of congestion such as "high", "medium", and "low" based on the number of standing passengers and a preset threshold value (threshold range). .. For example, the system controller 41 determines that the aisle congestion is "low" when the number of standing passengers is less than 10. Further, the system controller 41 determines that the aisle congestion degree is "medium" when the number of standing passengers is 10 or more and less than 20 people. Further, the system controller 41 determines that the aisle congestion degree is "high" when the number of standing passengers is 20 or more.

The degree of congestion in the aisle may be information determined based on the area where the floor of the aisle can be seen. The aisle congestion may be a percentage of the "standing passengers" with respect to the "upper limit of the number of people who can stand in the aisle".

Next, the system controller 41 outputs the calculated aisle congestion degree and the seat congestion degree (step S20), and ends the process. For example, the system controller 41 outputs the seat congestion degree and the aisle congestion degree to the user's mobile terminal 15 connected via the guide display board 21, the ticket vending machine 22, and the network 14. Further, the system controller 41 generates a congestion degree information providing screen based on the seat congestion degree and the aisle congestion degree, and the congestion degree information providing screen is connected via the guidance display board 21, the ticket vending machine 22, and the network 14. It may be configured to output to the user's mobile terminal 15 or the like.

FIG. 11 is an explanatory diagram for explaining an example of a congestion degree information providing screen displayed on the display 51 of the guidance display board 21. As shown in FIG. 11, on the congestion degree information providing screen, a train name, a destination, a departure time, a reserved seat vehicle number, a non-reserved seat vehicle number, and the like are displayed for each train 11. Further, on the congestion degree information providing screen, information indicating is displayed on the congestion degree information providing screen for each vehicle 32. Furthermore, the number of remaining seats of the reserved seat vehicle may be displayed on the congestion degree information providing screen.

The guidance display board 21 generates a congestion degree information providing screen based on the seat congestion degree and the aisle congestion degree acquired by the communication interface 52 by executing a program stored in the memory by a processor (not shown), and the display 51. To display.

According to the configuration as described above, the passenger of the non-reserved seat ticket can grasp the vacant train and the vehicle before boarding. As a result, the station affairs system 1 can improve the convenience of the user and promote the alleviation of congestion in the vehicle 32.

FIG. 12 is an explanatory diagram for explaining an example of a screen for purchasing reserved seats and unreserved seats of a Shinkansen or a limited express train displayed on the display 63 of the ticket vending machine 22. On the screen of FIG. 12, the train name, destination, departure time, reserved seat vehicle number, unreserved seat vehicle number, and the like are displayed for each train 11. Further, on the screen of FIG. 12, information indicating the degree of seat congestion and the degree of aisle congestion is displayed for each vehicle 32. That is, the same information as the congestion degree information providing screen is included. Further, on the screen of FIG. 12, a non-reserved seat purchase button 81, which is a button for purchasing a ticket for a non-reserved seat such as a Shinkansen or a limited express train, and a reserved seat, which is a button for purchasing a ticket for a reserved seat, are displayed. The purchase button 82 is displayed.

The ticket vending machine 22 generates a congestion degree information providing screen based on the seat congestion degree and the aisle congestion degree acquired by the communication interface 62 by executing the program stored in the memory 67 by the processor 66 of the system controller 61. , Displayed on the display 63.

Further, the mobile terminal 15 generates a congestion degree information providing screen by an application (program) stored in advance based on the seat congestion degree and the aisle congestion degree supplied from the data center 12 via the network 14. This application produces a screen similar to FIG. 12 based on the seat congestion and aisle congestion supplied by the data center 12. That is, the application of the mobile terminal 15 displays a button for purchasing reserved seats and unreserved seats such as the Shinkansen or limited express train, and information indicating the degree of seat congestion and aisle congestion for each vehicle 32 on the display of the mobile terminal 15. Display it.

According to the configuration as described above, the passenger of the non-reserved seat ticket can grasp the vacant train and the vehicle at the time of purchasing the ticket. As a result, for example, when the unreserved seats are crowded and there are vacant seats in the reserved seats, it is expected that the user purchases a reserved seat ticket instead of a non-reserved seat ticket.

Further, as described above, the system controller 41 of the data center 12 may be configured to output the aisle congestion degree and the seat congestion degree to a monitoring panel (not shown) at each station. In this case, the monitoring panel generates a congestion degree information providing screen by a program stored in advance based on the seat congestion degree and the aisle congestion degree supplied from the data center 12. Further, the monitoring board causes the generated congestion degree information providing screen to be displayed on the display 51 of the guidance display board 21, the display 63 of the ticket vending machine 22, and other station affairs equipment capable of providing information to the user. Even with this configuration, the station affairs system 1 can improve the convenience of the user and promote the alleviation of congestion in the vehicle 32.

Further, the system controller 41 of the data center 12 may be configured to output the aisle congestion degree and the seat congestion degree to the train control device 31 of the train 11 (not shown) at each station. In this case, the system controller 33 of the train control device 31 generates a congestion degree information providing screen by a program stored in the memory 44 in advance based on the seat congestion degree and the aisle congestion degree supplied from the data center 12. Further, the system controller 33 displays the generated congestion degree information providing screen on a display (not shown) in the vehicle 32. According to this configuration, it is possible to provide the user who is on the train 11 with information indicating the congestion status of the other vehicle 32. As a result, the station affairs system 1 can improve the convenience of the user and promote the alleviation of congestion in the vehicle 32.

Further, in the above embodiment, it has been described that the system controller 41 of the data center 12 performs image analysis on the first image and the second image to calculate the aisle congestion degree and the seat congestion degree. However, it is not limited to this configuration. The system controller 41 of the train control device 31 of the train 11 performs image analysis on the first image and the second image, calculates the degree of passage congestion and the degree of seat congestion, and supplies the data to the data center 12. You may.

In the above embodiment, the system controller 41 has been described as performing image analysis on the first image and the second image, respectively, but the present invention is not limited to this configuration. The system controller 41 analyzes an image based on a first processing engine that performs image analysis based on the first image acquired by the first camera 37 and a second image acquired by the second camera 38. It may be configured to include a second processing engine that performs the above.

Further, the system controller 41 calculates the number of seats used and stands by using either the image analysis result by the first processing engine or the image analysis result by the second processing engine according to the traveling direction of the train 11. It may be configured to be used for calculating the number of passengers.

Furthermore, the system controller 41 calculates the number of seats used and stands up based on both the image analysis result by the first processing engine and the image analysis result by the second processing engine regardless of the traveling direction of the train 11. It may be configured to be used for calculating the number of passengers in the seat.

Furthermore, the system controller 41 detects a large number of face areas, and when it is expected that the passenger compartment of the vehicle 32 is congested, the result of image analysis by the first processing engine and the second processing Both the result of the image analysis by the engine may be used for the calculation of the number of seats used and the number of standing passengers.

Further, the vehicle 32 may be configured to image a person entering the passenger compartment of the vehicle 32 and a person leaving the passenger compartment of the vehicle 32 by a camera configured to image the door to the passenger compartment of the vehicle 32. Good. In this case, the system controller 41 of the data center 12 may be configured to count the people in the cabin based on the image and output information indicating the degree of congestion for each vehicle 32 based on the counted value. ..

The functions described in each of the above-described embodiments are not limited to the configuration using hardware, and can be realized by loading a program describing each function into a computer using software. In addition, each function may be configured by appropriately selecting either software or hardware.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

1 ... station affairs system, 11 ... train, 12 ... data center, 13 ... station affairs equipment, 14 ... network, 15 ... mobile terminal, 21 ... information display board, 22 ... ticket vending machine, 31 ... train controller, 32 ... vehicle , 33 ... system controller, 34 ... communication interface, 35 ... processor, 36 ... memory, 37 ... first camera, 38 ... second camera, 41 ... system controller, 42 ... communication interface, 43 ... processor, 44 ... memory , 51 ... Display, 52 ... Communication interface, 61 ... System controller, 62 ... Communication interface, 63 ... Display, 64 ... Operation interface, 65 ... Ticketing department, 66 ... Processor, 67 ... Memory.

Claims (12)

A communication interface for acquiring a first image of the inside of a train car taken from the front in the traveling direction and a second image of the inside of the train taken from the rear in the traveling direction.
Based on the first image and the second image, a processor that outputs vehicle congestion information indicating the congestion status in the vehicle for each vehicle by the communication interface.
Information processing device equipped with. The information processing device according to claim 1, wherein the processor calculates, as the vehicle congestion information, the degree of seat congestion indicating the degree of congestion of seats in the vehicle based on the first image and the second image. .. When the seat congestion degree is equal to or higher than a preset threshold value, the processor calculates the aisle congestion degree in the vehicle based on the first image and the second image as the vehicle congestion information. The information processing device according to claim 2, wherein the seat congestion degree and the aisle congestion degree for each vehicle are output by the communication interface. The processor detects the face area from the first image and the second image, and calculates the seat congestion degree based on the number of face areas detected from the position of the backrest of the seat. The information processing device according to 3. The processor detects a face area from the first image and the second image, and calculates the number of face areas detected from the position of the backrest of the seat with respect to the number of seats in the vehicle as the seat congestion degree. The information processing device according to claim 4. 3. The processor detects a face region from the first image and the second image, and calculates the aisle congestion degree based on the number of face regions detected from a position other than the backrest of the seat. The information processing device described in. The information processing device according to claim 4 or 5, wherein the processor calculates the degree of seat congestion based on the number of face regions whose positions do not change for a certain period of time in the first image and the second image. .. The information processing device according to claim 6, wherein the processor calculates the passage congestion degree based on the number of face regions whose positions do not change for a certain period of time in the first image and the second image. A first camera provided on the train car, which images the inside of the train from the front in the traveling direction of the train and acquires a first image.
A second camera provided in the vehicle of the train, which images the inside of the vehicle from behind in the traveling direction of the train and acquires a second image.
An information processing device that outputs vehicle congestion information indicating the state of congestion in the vehicle for each vehicle based on the first image and the second image.
Station affairs system equipped with. The congestion situation of each vehicle calculated based on the first image of the inside of the train vehicle taken from the front in the traveling direction and the second image of the inside of the vehicle taken from the rear in the traveling direction is described above. A communication interface that acquires vehicle congestion information shown for each vehicle,
A processor that generates a congestion information providing screen showing the vehicle congestion information, and
A display that displays the congestion information provision screen and
Station service equipment equipped with. An operation interface that accepts operation input and
A ticketing unit that displays a screen for purchasing a ticket on the display and issues a ticket based on the operation input by the operation interface.
Further equipped,
The station service device according to claim 10, wherein the processor displays the congestion information providing screen on a screen for purchasing a ticket. The congestion situation for each vehicle calculated based on the first image of the inside of the train vehicle taken from the front in the traveling direction and the second image of the inside of the vehicle taken from the rear in the traveling direction is described above. A program executed by a computer including a communication interface for acquiring vehicle congestion information shown for each vehicle, a processor, and a display.
To the processor
To generate a congestion information providing screen showing the vehicle congestion information,
Displaying the congestion information providing screen on the display and
A program that executes.