JP6551606B2 - Image storage processing program, image storage processing method, and image storage processing apparatus - Google Patents

Description

  The present invention relates to an image storage processing program, an image storage processing method, and an image storage processing apparatus.

  Conventionally, for example, in the logistics industry, on-board devices such as digital tachographs that monitor operation status such as position and speed are attached to business vehicles such as trucks and buses, and operation management is based on information collected from on-board devices. It is carried out. Some in-vehicle devices have a function of capturing an image on the road at regular intervals and transmitting the captured image.

Unexamined-Japanese-Patent No. 2015-103089

  By the way, when imaging the image on the road, a person's face etc. may be reflected in an image. Problems with portrait rights may occur if a person on the street is imaged. Although it is possible to detect a human face from the captured image and automatically perform image processing to subject the face to blur processing, the processing is complicated.

  In one aspect, an object is to provide an image storage processing program, an image storage processing method, and an image storage processing device that can collect only images without a portrait right problem.

  In the first proposal, when the image storage processing program receives the image and the position information of the imaging device at the time of capturing the image, the image storage processing program generates the image based on the position information of the imaging device at the time of capturing the image. The process of specifying the type of the imaged road is executed. The image storage processing program causes the computer to execute a process of storing an image associated with position information in the storage unit when the identified road type corresponds to a predetermined road type.

  According to one embodiment of the present invention, it is possible to collect images without problems of portrait right.

FIG. 1 is an explanatory diagram illustrating an example of a physical distribution support system. FIG. 2 is a diagram showing an example of a functional configuration of the road condition providing platform. FIG. 3 is a view schematically showing a functional configuration of the image storage processing device. FIG. 4 is a diagram illustrating an example of a data configuration of imaging information. FIG. 5 is a diagram illustrating an example of a data configuration of road information. FIG. 6 is a view showing an example of the data configuration of the traveling zone information. FIG. 7 is a diagram illustrating an example of matching and aggregation. FIG. 8 is a view for explaining an example of an image collected for publication. FIG. 9 is a view for explaining an example of an image collected for publication. FIG. 10 is a diagram showing an example of a flow of searching for road conditions. FIG. 11 is a flowchart illustrating an example of a procedure of image storage processing. FIG. 12 is a diagram showing an example of the configuration of a computer that executes an image storage processing program.

  Hereinafter, embodiments of an image storage processing program, an image storage processing method, and an image storage processing apparatus according to the present invention will be described in detail based on the drawings. The disclosed technology is not limited by the present embodiment. Moreover, you may combine suitably the Example shown below in the range which does not produce contradiction.

[System configuration]
First, an example of the physical distribution support system according to the first embodiment will be described. FIG. 1 is an explanatory view for explaining an example of the physical distribution support system. The distribution support system 10 is a system that supports the operation of a vehicle in the distribution industry. The distribution support system 10 is, for example, a cloud system. In the physical distribution support system 10, an operation management platform 11, a probe analysis platform 12, and a road condition providing platform 13 are constructed. The physical distribution support system 10 may be realized by a computer such as a single server device, or may be implemented as a computer system with a plurality of computers. For example, the logistics support system 10 may be implemented by dividing it into a plurality of computers for each service and function to be provided.

  For example, the work vehicle 16 such as a truck or a bus is provided with an on-vehicle device 15 such as a digital tachograph. The vehicle-mounted device 15 is communicably connected to the physical distribution support system 10 via the network N. Further, to the physical distribution support system 10, an operator terminal device 17 and a road manager terminal device 18 are communicably connected via the network N. As an aspect of the network N, any type of communication such as a mobile communication network such as a mobile phone, the Internet, a LAN (Local Area Network), a VPN (Virtual Private Network), etc., regardless of wired or wireless. A network can be adopted. In the example of FIG. 1, the case where the number of business vehicles 16 equipped with the vehicle-mounted device 15 is exemplified, but the present invention is not limited to this, and the number of business vehicles 16 equipped with the vehicle-mounted device 15 is an arbitrary number. Can. Moreover, in the example of FIG. 1, although the case where the service provider terminal device 17 and the road administrator terminal device 18 were each one was illustrated, it is not limited to this, the service provider terminal device 17 and the road manager terminal The devices 18 can also be any number.

  The vehicle-mounted device 15 detects various information such as the current position and time of the business vehicle 16 and the speed of the business vehicle 16 during operation at intervals of a predetermined time (for example, 1 second). The on-vehicle device 15 transmits the detected various types of information as probe information to the physical distribution support system 10. The vehicle-mounted device 15 has a function of capturing an image on the road at regular time intervals and transmitting the captured image. For example, the work vehicle 16 is provided with a camera at a position at which the front of the vehicle can be imaged, and the camera is connected to the on-vehicle unit 15. The on-vehicle device 15 captures an image on the road in front of the vehicle at predetermined time intervals by a camera. The predetermined time is, for example, 5 minutes, but is not limited thereto. For example, the vehicle-mounted device 15 captures the front of the vehicle at fixed time intervals, and transmits the image data of the captured image to the distribution support system 10 together with position information indicating the captured position and time information indicating the captured time.

  The physical distribution support system 10 provides various services based on various types of information such as probe information and image data transmitted from the vehicle-mounted device 15.

  For example, the distribution support system 10 provides an operation management service that manages the operation of the business vehicle 16 using the operation management platform 11. For example, the operation management platform 11 manages the operation time, the break time, and the speed of the work vehicle 16 based on the probe information transmitted from the on-board unit 15. The operation management platform 11 also provides an image transmitted from the on-board unit 15 of the business vehicle 16 whose operation is managed by the operator in response to a request from the operator who operates the business vehicle 16. That is, the operation management platform 11 provides the operator with an image captured by the business vehicle 16 operated by the operator. Thereby, the service provider can grasp the operation state of the business vehicle 16 that manages the operation.

  Also, for example, the physical distribution support system 10 analyzes the probe information using the probe analysis platform 12. For example, based on the probe information transmitted from the on-board unit 15, the probe analysis platform 12 analyzes the road on which the service vehicle 16 travels and the congestion state of the road. For example, the probe analysis platform 12 specifies a traveling road, a section of the traveling road, and a traveling direction based on the position information included in the probe information. Further, the probe analysis platform 12 analyzes the congestion of the road from the time when the service vehicle 16 travels on the road.

  Also, for example, the logistics support system 10 uses the road condition providing platform 13 to provide a road condition providing service that provides road conditions. For example, the distribution support system 10 provides an image transmitted from the vehicle-mounted device 15 of the business vehicle 16 as a road condition to a third party such as a road manager who manages the road. By the way, when an image on the road is taken by the vehicle-mounted device 15 every certain time (for example, 5 minutes) during operation of the business vehicle 16, a person such as a person's face may appear in the image. The problem of the right of portrait occurs when the image in which the face of the person etc. is taken in this way is published. Therefore, the road condition providing platform 13 specifies the type of the road on which the image is captured, based on the imaging position when the image is captured. Then, the road condition providing platform 13 stores the image for disclosure when the specified road type corresponds to a predetermined road type. For example, when the identified road type is a road where pedestrian traffic is prohibited, the road condition providing platform 13 stores the image for public use. Examples of roads on which pedestrians are prohibited are highways, motorways, and the like.

  Here, for example, on roads where pedestrian traffic is prohibited, such as expressways and automobile-only roads, pedestrian traffic is prohibited. For this reason, the road condition providing platform 13 can collect only images having no problem with the right of portrait.

  The service provider terminal device 17 is a terminal device such as a personal computer, which is disposed at a service provider operating the business vehicle 16. An operator operating the business vehicle 16 accesses the logistics support system 10 using the operator terminal device 17 and manages the operation of the business vehicle 16 using an operation management service provided by the logistics support system 10. .

  The road manager terminal device 18 is, for example, a terminal device such as a personal computer or the like disposed at a road management company that manages roads, such as a highway company. The road manager who manages the road accesses the distribution support system 10 using the road manager terminal device 18, and grasps the road condition using the road condition providing service provided by the distribution support system 10. For example, a road manager who manages an expressway can grasp various conditions regarding the road such as the congestion state and the deterioration state of the road by referring to the image stored for public use by the distribution support system 10.

  Next, a functional configuration of the road condition providing platform 13 will be described. FIG. 2 is a diagram showing an example of a functional configuration of the road condition providing platform. The road condition providing platform 13 is provided with imaging information including image data of an image captured by the vehicle-mounted device 15 and an imaging position when the image is captured from the operation management platform 11. Further, the road condition providing platform 13 is provided with road information on the road from the probe analysis platform 12 and traveling section information on a traveling section of the road on which the business vehicle 16 equipped with the on-vehicle unit 15 travels. The road condition providing platform 13 identifies the type of the road on which the image is captured based on the position information when the image is captured, using the identification function (FIG. 2A). The road condition providing platform 13 stores an image by the storage function (FIG. 2B) when the type of the road for which the image is captured corresponds to a road where pedestrians are prohibited from passing. The road condition providing platform 13 provides the stored image as a road condition to a third party such as a road manager who manages the road as the road condition by the output function (FIG. 2C). The operation management platform 11, the probe analysis platform 12, and the road condition providing platform 13 may be implemented on the same computer or may be implemented on another computer. In the present embodiment, the logistics support system 10 will be described by taking as an example a case where the operation management platform 11, the probe analysis platform 12, and the road condition providing platform 13 are mounted on different computers.

[Configuration of image storage processing apparatus]
Next, the configuration of the image storage processing device 20 will be described. FIG. 3 is a view schematically showing a functional configuration of the image storage processing device. The image storage processing device 20 is a computer such as a server computer. The image storage processing device 20 is provided with the road condition providing platform 13 and provides a road condition providing service. In the present embodiment, although the case where the image storage processing device 20 is one computer is described as an example, it may be implemented as a computer system by a plurality of computers.

  As illustrated in FIG. 3, the image storage processing device 20 includes a communication unit 21, a storage unit 22, and a control unit 23.

  The communication unit 21 is a communication interface that performs wireless communication or wired communication with another device. For example, the communication unit 21 receives imaging information including image data of an image captured by the vehicle-mounted device 15 and an imaging position when the image is captured from the operation management platform 11. Further, the communication unit 21 receives from the probe analysis platform 12 road information related to the road and travel section information related to the travel section of the road on which the business vehicle 16 on which the vehicle-mounted device 15 is mounted.

  The storage unit 22 is a storage device such as a hard disk, a solid state drive (SSD), or an optical disk. The storage unit 22 may be a semiconductor memory capable of rewriting data such as a random access memory (RAM), a flash memory, and a non volatile static random access memory (NV SRAM). The storage unit 22 stores an operating system (OS) executed by the control unit 23 and various programs. Furthermore, the storage unit 22 stores various types of information. For example, the storage unit 22 stores the image data 30, the imaging information 31, the road information 32, the traveling section information 33, and the matching information 34. The storage unit 22 is provided with a public storage area 35. The public storage area 35 is an area for storing public data provided by the road condition providing service. The public storage area 35 stores public image data 36 and total information 37. The storage unit 22 may store other various information.

  The image data 30 is image data of an image captured by the vehicle-mounted device 15 received from the operation management platform 11.

  The imaging information 31 is data including an imaging position at the time of imaging the image of the image data 30 and the like. FIG. 4 is a diagram illustrating an example of a data configuration of imaging information. As shown in FIG. 4, the imaging information 31 has items of an image ID, an imaging position, a vehicle ID, and an imaging time. The imaging information 31 may store various types of information other than the above.

  The item of image ID is an area for storing identification information for identifying image data of an image captured by the vehicle-mounted device 15. A unique image ID (identification) such as a number, for example, in the order in which the image was taken is given as identification information to the image data of the image taken by the vehicle-mounted device 15. In the item of image ID, an image ID assigned to image data of an image captured by the vehicle-mounted device 15 is stored. The item of the imaging position is an area for storing position information indicating an imaging position at the time of imaging an image. In the present embodiment, the position information is information in which the position is indicated by latitude, longitude or the like by a predetermined geodetic system such as a Japan geodetic system or a world geodetic system. In the item of imaging position, position information such as latitude (x) and longitude (y) indicating the imaging position is stored. The position information may be other information as long as the position can be identified. The item of the vehicle ID is an area for storing identification information of the business vehicle 16 on which the on-board unit 15 having transmitted the image data is mounted. A unique vehicle ID is set in the on-vehicle unit 15 as identification information of the mounted business vehicle 16. The vehicle-mounted device 15 transmits image data and probe information to which the set vehicle ID is added to the logistics support system 10. In the item of the vehicle ID, the vehicle ID of the business vehicle 16 equipped with the on-board unit 15 having transmitted the image data of the image ID is stored. The item of imaging time is an area for storing the imaging time at which an image is captured by the vehicle-mounted device 15.

  In the example of FIG. 4, the image of the image data of the image ID “image 1” has an imaging position of latitude x and longitude y, and the vehicle ID of the business vehicle 16 equipped with the vehicle-mounted device 15 that has transmitted the image data is “Aaa”. Indicates that the imaging time is 10:20:20.

  Returning to FIG. 3, the road information 32 is data in which various information related to the road is stored. For example, in the road information 32, information such as the type of road is stored for each section where the road is divided. FIG. 5 is a diagram illustrating an example of a data configuration of road information. As shown in FIG. 5, the road information 32 includes items of section number, type, direction, facility, and section range. The road information 32 may store various information other than the above.

  The section number item is an area for storing identification information for identifying a section of a road. Each road is divided into one or a plurality of sections, for example, according to a predetermined standard, and a unique section number is assigned to each section as identification information, for example. For example, the predetermined reference may be determined by a distance such as every 100 m, or may be a unit in which an intersection with another road such as an intersection is used as a section break. In addition, the predetermined standard may be, for example, a road boundary of a structure or facility such as a bridge, a tunnel, a service area, a parking area, a junction, etc. Conditions may be used. The predetermined standard may be a combination of a plurality of conditions. The section number assigned to the section of the road is stored in the section number section. The item of type is an area for storing the type of road of the section of the section number. Types of road sections are defined so that roads where pedestrian traffic is prohibited, such as expressways and automobile-only roads, and roads where pedestrian traffic is not permitted, such as general roads, can be identified. In the item of type, the type determined for the road of the section of the section number is stored. The item of direction is an area for storing the traveling direction of the road section. In the direction item, for example, if a traveling direction such as going up or down is defined in the road section, the traveling direction is stored, and if the traveling direction is not determined, the traveling direction is not determined. "-" Which shows is stored. The facility item is an area for storing facilities in a road section. In the item of the facility, if the section of the road is a facility such as a service area or a parking area, the facility name is stored, and if it is not a facility, “-” indicating that the facility is not a facility is stored. The item of the section range is an area for storing information on the range to be a section. For example, when a section is defined as a rectangular area, position information indicating the positions of two opposing vertices in the section area is stored in the section range item. The section range may be indicated using any information. For example, the section range may be indicated by the positions of all the vertices of the area of the section.

  In the example of FIG. 5, the section with the section number 0002 indicates that the type is an expressway, the direction is up, and the section range is (x, y)-(x, y), not a facility. .

  Returning to FIG. 3, the travel section information 33 is data that stores various types of information related to the travel section of the road on which the business vehicle 16 equipped with the vehicle-mounted device 15 travels. FIG. 6 is a view showing an example of the data configuration of the traveling zone information. As shown in FIG. 6, the traveling zone information 33 has items of a time zone, a zone number, a direction, an average speed, and a vehicle ID. The travel section information 33 may store various types of information other than the above.

  The item of time zone is an area for storing the time zone in which the business vehicle 16 equipped with the vehicle-mounted device 15 travels in the section. The time zone is, for example, in units of 5 minutes, and is indicated by the start time of the time zone. The item of section number is a field which stores the section number which identifies the section of the road. The item of the direction is an area for storing the traveling direction of the section of the road on which the service vehicle 16 equipped with the vehicle-mounted device 15 travels. In the item of direction, when the traveling direction is determined in the section of the road, the traveling direction is stored, and when the traveling direction is not determined, “-” is stored, which indicates that the traveling direction is not determined. Ru. The item of the average speed is an area for storing the average speed when the service vehicle 16 mounted with the on-vehicle device 15 travels the section. The item of vehicle ID is an area for storing the vehicle ID of the service vehicle 16 which has traveled the section.

  In the example of FIG. 6, the section with the section number 0002 indicates that the work vehicle 16 with the average speed of 34.5 km and the vehicle ID “Aaa” traveled in the time zone at 10:20. .

  Returning to FIG. 3, the matching information 34 is data obtained based on the imaging information 31 and the travel section information 33 for a section corresponding to the image capturing position of the image data 30. Details of the matching information 34 will be described later.

  The disclosure image data 36 is image data stored in the disclosure storage area 35 for publication in the road condition providing service.

  The aggregation information 37 is data obtained by using the image data 30 to artificially obtain the number of use of the facility. Details of the aggregation information 37 will also be described later.

  The control unit 23 is a device that controls the entire image storage processing device 20. As the control unit 23, an electronic circuit such as a CPU (Central Processing Unit) and an MPU (Micro Processing Unit), or an integrated circuit such as an ASIC (Application Specific Integrated Circuit) and an FPGA (Field Programmable Gate Array) can be employed. The control unit 23 has an internal memory for storing programs and control data which define various processing procedures, and executes various processing by these. The control unit 23 functions as various processing units by operating various programs. For example, the control unit 23 includes a first storage unit 40, a specifying unit 41, a second storage unit 42, a totaling unit 43, a reception unit 44, a search unit 45, and an output unit 46.

  The first storage unit 40 stores the received various data in the storage unit 22. For example, the first storage unit 40 stores the image data of the image captured by the vehicle-mounted device 15 received from the operation management platform 11 as the image data 30 in the storage unit 22. In addition, the first storage unit 40 stores the imaging information received from the operation management platform 11 including the imaging position when the image is captured as the imaging information 31 in the storage unit 22. The first storage unit 40 stores the road information received from the probe analysis platform 12 in the storage unit 22 as road information 32. Further, the first storage unit 40 stores the traveling zone information received from the probe analysis platform 12 in the storage unit 22 as traveling zone information 33.

  The identifying unit 41 performs various types of identification. For example, when the specifying unit 41 receives the image data 30 of the image captured by the vehicle-mounted device 15 and the imaging information 31 including the position information and the like when capturing the image, the location information when the image is captured is Based on this, the type of road on which the image was captured is specified. For example, the specifying unit 41 specifies, based on the road information 32, which section of the road corresponds to the imaging position of each image data 30 stored in the imaging information 31. Thus, for example, the image data of the image ID “image 1” in FIG. 4 is identified as corresponding to the section of the section number “0001”. The image data of the image ID “image 2” is specified as corresponding to the section of the section number “0002”. The image data of the image ID “image 3” is identified as corresponding to the section of the section number “0003”. The image data of the image ID “image 4” is identified as corresponding to the section of the section number “0004”. The identifying unit 41 identifies the type of road corresponding to the section corresponding to the imaging position. For example, in the image IDs “image 1” to “image 4”, the road type corresponding to the section corresponding to the imaging position is specified as “highway”. In addition, as illustrated in FIG. 3, when the traveling section information 33 includes the vehicle number of the business vehicle 16, the traveling section number, and the traveling time zone, the specifying unit 41 determines that the traveling section information 33 is It is possible to specify which section of the road the imaging position corresponds to from the imaging time of the image data 30 and the vehicle number of the service vehicle 16 using.

  The identifying unit 41 also matches the imaging information 31 with the traveling zone information 33 based on the identified zone, and generates the matching information 34. FIG. 7 is a diagram illustrating an example of matching and aggregation. For example, the specifying unit 41 specifies a record corresponding to the time zone including the imaging time and the section corresponding to the imaging position from the travel section information 33 for each image ID of the imaging information 31. Then, the specifying unit 41 generates matching information 34 storing information of each item of time zone, section number, direction, average speed, vehicle ID, and image ID.

  The second storage unit 42 displays the image data 30 when the road type specified by the specifying unit 41 corresponds to the type of road where pedestrians are prohibited such as highways and automobile-only roads. The data 36 is stored in the storage area 35 for publication. Thereby, for example, the image data 30 captured on the expressway, the motorway, etc. is stored in the storage area 35 for disclosure as the image data 36 for disclosure.

  FIG. 8 is a view for explaining an example of an image collected for publication. In the example of FIG. 8, traveling routes RA and RB along which the trucks A and B traveled and traveling time are shown. The travel routes RA and RB include a road RX on which pedestrians are not allowed to pass, such as expressways and motorways. In this case, of the images captured by the vehicle-mounted device 15 mounted on the trucks A and B, only the image data of the image when traveling on the road RX is stored in the public storage area 35.

  By the way, even on the expressway, there is a possibility that pedestrians may appear in the image in the service area and the parking area.

  Therefore, even if the identified road type corresponds to the type of road where pedestrian traffic is prohibited, the second storage unit 42 may detect that the imaging position is included in the service area and the parking area. The image data 30 is excluded from the storage target in the public storage area 35. For example, the second storage unit 42 uses the road information 32 to determine whether the section corresponding to the imaging position of the image data 30 is a service area or a parking area. When the section corresponding to the imaging position of the image data 30 is not the service area or the parking area, the second storage unit 42 stores the image data 30 in the disclosure storage area 35 as the disclosure image data 36. On the other hand, when the section corresponding to the imaging position of the image data 30 is a service area or a parking area, the second storage unit 42 does not set the image data 30 as a public storage target and stores it in the public storage area 35. Do not store. Thereby, for example, since the image data 30 captured in the service area and the parking area is excluded, it is possible to collect only images having no problem of portrait rights. The specifying unit 41 generates the matching information 34 for a section where a pedestrian is prohibited such as a highway or an automobile-only road and is not a service area or a parking area. May be For example, since the section corresponding to the imaging position of the image ID “image 3” in FIG. 4 is “XX service area”, the specifying unit 41 generates matching information 34 for the image ID “image 3”. It does not have to be.

  FIG. 9 is a view for explaining an example of an image collected for publication. In the example of FIG. 9, a section including an imaging time at which the tracks A and B capture an image and an imaging position at which the image is captured is shown. Image data of images captured while the tracks A and B are traveling on the section numbers “0001” and “0002” are stored in the disclosure storage area 35 as disclosure image data 36. On the other hand, the image data of the image captured while traveling in the section number “0003” is not disclosed and is excluded from the storage target in the disclosure storage area 35.

  The aggregation unit 43 aggregates the number of images of image data whose imaging position is included in a predetermined area. For example, when the imaging position is included in the service area and the parking area, the totaling unit 43 totals the number of captured images for each time zone, service area, and parking area. Then, the aggregation unit 43 stores the aggregation result in the aggregation information 37. FIG. 7 shows an example of the total information 37. The tabulated information 37 includes items of time zone, facility, and number of uses. The count information 37 stores the number of images captured for each time zone and facility as the number of uses. Here, when the vehicle-mounted device 15 picks up an image every predetermined time, many images are picked up in a congested section. The counting unit 43 according to the present embodiment stores the number of captured images in the counting information 37 as the number of uses. By using this number of usage cases, it is possible to simulate the congestion status of facilities such as service areas and parking areas.

  The accepting unit 44 accepts various operations. For example, when receiving the access from the service provider terminal device 17 or the road administrator terminal device 18, the receiving unit 44 transmits information of various operation screens to the access source to display the operation screen on the access source, and the operation screen Accept various operations from For example, the reception unit 44 provides a web site of the road condition providing service. When the accepting unit 44 accepts access to the website of the road condition providing service from the service provider terminal device 17 or the road manager terminal device 18, the information on the login screen is used as the access source terminal device 17 and the road source information on the login screen. The login screen is displayed by transmitting to the administrator terminal device 18, and the login ID and password are input to accept the login operation. When accepting the login operation, the accepting unit 44 performs authentication by comparing the entered login ID and password with the login ID and password registered in advance. When the authentication with the legitimacy is obtained, the reception unit 44 transmits the information of the condition designation screen to the access source to display the condition designation screen. Then, the receiving unit 44 receives the search condition of the road condition from the condition specification screen. For example, the receiving unit 44 receives specification of a time zone and a section of a road as a search condition of the road condition.

  The search unit 45 searches for image data satisfying the search condition accepted by the acceptance unit 44 from the image data 36 for disclosure stored in the storage area 35 for disclosure. For example, using the matching information 34, the search unit 45 specifies the image ID of the image corresponding to the time zone specified as the search condition and the section of the road. Then, the search unit 45 searches whether the disclosure image data 36 of the identified image ID is stored in the disclosure storage area 35. In addition, when the road section specified as the search condition is a service area or a parking area, the search unit 45 reads the number of usages corresponding to the facility in the specified section from the total information 37.

  The output unit 46 outputs the search result to the access source. For example, the output unit 46 transmits the information on the road condition screen indicating the searched image data and the number of uses to the access source to display the road condition screen.

  FIG. 10 is a diagram showing an example of a flow of searching for road conditions. The image storage processing device 20 provides a road condition providing service and receives a road condition search condition from the condition designation screen 100. The condition designation screen 100 is provided with a map area 101 on which a road map is displayed, a time zone selection area 102 for selecting a time zone as a search condition, and a search button 103 for instructing start of search. In the map area 101, the section of the road corresponding to the position designated by the selection of the road is selected. In the example of FIG. 10, the hatched section 104 is selected. The time zone selection area 102 is a combo box, and by selecting, it is possible to specify a time zone in units of five minutes, for example. In the example of FIG. 10, a time zone from 10:20 to 10:25 is designated. When the road section is selected in the map area 101 of the condition designation screen 100, the time zone is selected in the time zone selection area 102, and the search button 103 is selected, the image storage processing device 20 selects the selected road section, Search is performed using the time zone as the search condition. Then, the image storage processing device 20 displays the road condition screen 120 showing the search result. When the image data is searched, the road condition screen 120 displays the image of the image data in association with the imaging position of the image of the searched image data. When the designated road section is a service area or a parking area, the road situation screen 120 displays the number of uses in association with the service area and the parking area. In the example of FIG. 10, since sections other than the service area and the parking area are designated, an image of the image data is displayed on the road situation screen 120 in association with the image capturing position of the searched image data. ing.

  Thereby, the road management company which manages the road and the service provider who operates the business vehicle 16 can grasp the road condition.

[Flow of processing]
Next, the flow of the image storage process performed by the image storage processing device 20 according to the present embodiment will be described. FIG. 11 is a flowchart illustrating an example of the procedure of the image storage process. The image storage process is performed at a predetermined timing, for example, at a timing when the first storage unit 40 stores the image data 30 and the imaging information 31.

  As shown in FIG. 11, the specifying unit 41 specifies, based on the road information 32, which section of the road corresponds to the imaging position of each image data 30 stored in the imaging information 31 (S10). The identifying unit 41 identifies the type of road corresponding to the section corresponding to the imaging position (S11).

  The identifying unit 41 matches the imaging information 31 and the traveling zone information 33 based on the identified zone, and generates the matching information 34 (S12).

  The second storage unit 42 stores image data 30 that is a type of road where a pedestrian is prohibited, such as a highway or an automobile-only road, at the imaging position, and the type of the road at the imaging position. The image data 30 which is not the type of the road where pedestrians are prohibited is excluded from the storage targets (S13).

  Even if the road type of the imaging position corresponds to the type of road where pedestrians are prohibited, the second storage unit 42 displays an image when the imaging position is included in the service area and the parking area. The data 30 is excluded from the storage target (S14).

  The second storage unit 42 stores the image data 30 to be stored in the release storage area 35 as the release image data 36 (S15).

  The counting unit 43 counts the number of images included in the service area and the parking area as the imaging position by time zone, service area, and parking area (S16). The aggregation unit 43 stores the aggregation result in the aggregation information 37 (S17), and ends the processing.

[effect]
As described above, when the image storage processing device 20 according to the present embodiment receives the image and the position information of the vehicle-mounted device 15 when capturing the image, the position information of the vehicle-mounted device 15 when the image is captured The type of the road on which the image was captured is identified based on The image storage processing device 20 stores the image associated with the position information in the storage area for disclosure 35 when the specified road type corresponds to the predetermined road type. As a result, the image storage processing device 20 can collect only images having no problem of portrait rights.

  Further, the image storage processing device 20 according to the present embodiment sets a predetermined road as a road on which pedestrians are prohibited from passing. Since roads where pedestrian traffic is prohibited are prohibited, pedestrians are not captured even when images are taken on the road. For this reason, the image storage processing device 20 has a problem of portrait rights without performing a process of processing a captured image into an image free of a problem of portrait rights, such as a human face detection process and a face blurring process. It is possible to collect only non-existent images.

  Further, the image storage processing device 20 according to the present embodiment executes processing that does not store an image as a storage target even when the position information is included in a predetermined area even on a predetermined road. As a result, the image storage processing device 20 does not make an image a public storage target for a predetermined area where a human face may be captured when captured, even on a predetermined road. It is possible to collect only images without any problem.

  Further, the image storage processing device 20 according to the present embodiment sets a predetermined area as a service area and a parking area. In the service area and the parking area, there is a possibility that a person's face may be captured when an image on the road is taken from the business vehicle 16, so the image right in the service area and the parking area is not set as a storage target. It is possible to collect only images without any problem.

  Although the embodiments of the disclosed apparatus have been described above, the disclosed technology may be implemented in various different forms other than the above-described embodiments. Therefore, another embodiment included in the present invention will be described below.

  For example, in the said Example, the case where the image on the road was imaged with the onboard equipment 15 was illustrated. However, it is not limited to these. For example, an information processing apparatus with a camera such as a smartphone or a mobile phone may be fixed to a vehicle to capture an image on the road. That is, the imaging device to image is not limited to the vehicle-mounted device 15, and may be an information processing device with a camera.

  Moreover, in the said Example, the image data of the image received from the operation management platform 11 are once memorize | stored in the memory | storage part 22 as the image data 30, and the image data 30 imaged on the road where a pedestrian's passage is prohibited are disclosed. The case of storing in the storage area 35 for publication as the image data 36 for image was illustrated. However, it is not limited to these. For example, among the image data of the image received from the operation management platform 11, only the image data captured on a road where pedestrian traffic is prohibited may be stored in the storage unit 22 as the public image data 36. In addition, the second storage unit 42 may manage the image data 30 captured on the road on which the pedestrian is prohibited as the image data 36 for disclosure, using a flag for disclosure or the like.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific state of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. It can be integrated and configured. For example, the first storage unit 40, the specifying unit 41, the second storage unit 42, the totaling unit 43, the receiving unit 44, the search unit 45, and the output unit 46 may be appropriately integrated. Further, the processing of each processing unit may be appropriately separated into a plurality of processing units. Further, all or any part of each processing function performed in each processing unit can be realized by a CPU and a program analyzed and executed by the CPU, or can be realized as hardware by wired logic. .

[Image storage processing program]
The various processes described in the above embodiments can also be realized by executing a prepared program on a computer system such as a personal computer or a workstation. Therefore, in the following, an example of a computer system that executes an image storage processing program that supports operation will be described. FIG. 12 is a diagram showing an example of the configuration of a computer that executes an image storage processing program.

  As illustrated in FIG. 12, the computer 400 includes a central processing unit (CPU) 410, a hard disk drive (HDD) 420, and a random access memory (RAM) 440. These units 400 to 440 are connected via a bus 500.

  The HDD 420 is preloaded with an image storage processing program 420A that performs the same functions as the first storage unit 40, the identification unit 41, the second storage unit 42, the totaling unit 43, the reception unit 44, the search unit 45, and the output unit 46. It is memorized. Note that the image storage processing program 420A may be separated as appropriate.

  The HDD 420 stores various information. For example, similarly to the storage unit 22, the HDD 420 stores various data used for OS and operation support.

  Then, the CPU 410 reads out the image storage processing program 420A from the HDD 420 and executes it, thereby executing the same operation as each processing unit of the embodiment. That is, the image storage processing program 420A executes the same operations as those of the first storage unit 40, the specifying unit 41, the second storage unit 42, the totaling unit 43, the receiving unit 44, the search unit 45, and the output unit 46.

  Note that the above-described image storage processing program 420A does not necessarily need to be stored in the HDD 420 from the beginning. Further, for example, the image storage processing program 420A may be stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, or an IC card inserted into the computer 400. Good. Then, the computer 400 may read and execute the program from these.

  Furthermore, the program is stored in “another computer (or server)” connected to the computer 400 via a public line, the Internet, a LAN, a WAN or the like. Then, the computer 400 may read and execute the program from these.

DESCRIPTION OF SYMBOLS 10 Logistics support system 11 Operation management platform 12 Probe analysis platform 13 Road condition provision platform 15 Onboard equipment 16 Business vehicle 20 Image storage processing device 21 Communication part 22 Storage part 23 Control part 30 Image data 31 Imaging information 32 Road information 33 Traveling section information 34 matching information 35 opening storage area 36 opening image data 37 total information 40 first storage unit 41 identification unit 42 second storage unit 43 aggregation unit 44 acceptance unit 45 retrieval unit 46 output unit

Claims (6)

When the image and the position information of the imaging device at the time of capturing the image are received, the type of the road on which the image is captured is specified based on the position information of the imaging device at the time of capturing the image;
An image storage processing program that causes a computer to execute processing for storing the image associated with the position information in a storage unit when the identified road type corresponds to a predetermined road type. The image storage processing program according to claim 1, wherein the predetermined road is a road where pedestrians are prohibited from passing. The image storage processing program according to claim 1, wherein even when the position information is included in a predetermined area even on the predetermined road, the image storage processing program executes processing for not setting the image as a storage target.   The image storage processing program according to claim 3, wherein the predetermined area is a service area or a parking area. When the image and the position information of the imaging device at the time of capturing the image are received, the type of the road on which the image is captured is specified based on the position information of the imaging device at the time of capturing the image;
An image storage processing method characterized by the computer executing processing of storing the image associated with the position information in a storage unit when the identified road type corresponds to a predetermined road type; When the image and the position information of the imaging device when the image is captured are received, the specification that specifies the type of the road on which the image is captured based on the position information of the imaging device when the image is captured Department,
A storage unit that stores the image associated with the position information in a storage unit when the type of the road identified by the identifying unit corresponds to a predetermined road type;
An image storage processing apparatus characterized by comprising:

Images