WO2023181161A1 - Information processing device, processing method, and processing program - Google Patents

Information processing device, processing method, and processing program Download PDF

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Publication number
WO2023181161A1
WO2023181161A1 PCT/JP2022/013463 JP2022013463W WO2023181161A1 WO 2023181161 A1 WO2023181161 A1 WO 2023181161A1 JP 2022013463 W JP2022013463 W JP 2022013463W WO 2023181161 A1 WO2023181161 A1 WO 2023181161A1
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WO
WIPO (PCT)
Prior art keywords
height
image
insurance
flood
target object
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PCT/JP2022/013463
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French (fr)
Japanese (ja)
Inventor
哲 木谷
俊仁 池西
Original Assignee
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to PCT/JP2022/013463 priority Critical patent/WO2023181161A1/en
Priority to JP2024508630A priority patent/JP7482337B2/en
Publication of WO2023181161A1 publication Critical patent/WO2023181161A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

Definitions

  • the present disclosure relates to an information processing device, a processing method, and a processing program.
  • the purpose of the present disclosure is to measure the height of flooding at low cost.
  • the information processing device includes an acquisition unit that acquires an image that includes a target object and indicates a flood situation, and information indicating a height of the actual target object, which is a height of the target object; an object detection unit that detects the type of object and, based on the image, detects the aspect ratio of the object in the image; and a flood inundation unit that detects the height of a flood line indicated by the image, based on the image.
  • a line height detection section an object height detection section that detects an image object height that is the height of the object in the image using at least the type and the aspect ratio; and the real object.
  • a calculation unit that calculates a first flood height based on the height, the height of the image object, and the height of the flood line.
  • the height of flooding can be measured at low cost.
  • FIG. 1 is a diagram showing a communication system according to Embodiment 1.
  • FIG. 3 is a diagram showing an example of a flooding situation according to the first embodiment.
  • FIG. 2 is a diagram showing hardware included in the information processing apparatus according to the first embodiment.
  • FIG. 2 is a block diagram showing functions of the information processing device according to the first embodiment.
  • 3 is a diagram showing an example of an object height table according to the first embodiment;
  • FIG. 5 is a diagram showing an example of a height detection table according to the first embodiment.
  • FIG. 3 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the first embodiment.
  • (A) and (B) are diagrams showing an example in which the wall of the second embodiment is inclined.
  • FIG. 7 is a diagram illustrating a specific example of a method for calculating the true height of flooding in Embodiment 2.
  • FIG. 12 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the second embodiment. 7 is a diagram showing an example of an angle in Embodiment 3.
  • FIG. 12 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the third embodiment.
  • FIG. 7 is a block diagram showing the functions of a terminal device according to a fourth embodiment.
  • FIG. 1 is a diagram showing a communication system according to the first embodiment.
  • the communication system includes an information processing device 100 and a terminal device 200.
  • the information processing device 100 and the terminal device 200 communicate via a network.
  • the information processing device 100 is a device that executes a processing method.
  • the information processing device 100 is a server.
  • Terminal device 200 is a device used by a user.
  • the terminal device 200 is a smartphone or a tablet terminal.
  • the user has insurance.
  • the user's house is flooded. Therefore, the user can receive insurance money. Briefly explain the flow until the user receives insurance money.
  • the user uses the terminal device 200 to capture an image of the flooding situation. The situation of flooding is concretely shown using diagrams.
  • FIG. 2 is a diagram illustrating an example of a flooding situation according to the first embodiment.
  • the user uses the terminal device 200 to capture an image of the flooding situation.
  • the flood situation can be ascertained from the walls of the user's home.
  • the flood situation may be determined from structures other than walls (for example, pillars, doors, etc.).
  • the user may use the terminal device 200 to capture an image of a wall and the ground.
  • the user may place the target object 400 before imaging.
  • the object 400 is a bottle, a plastic bottle, or the like. That is, the target object 400 is something that exists nearby. Further, the object 400 may be a floating object.
  • the image 210 generated by the terminal device 200 is an image that includes the target object 400 and is an image that shows a flood situation.
  • the terminal device 200 transmits the image 210 to the information processing device 100.
  • the information processing device 100 calculates the height of flooding based on the image 210.
  • the information processing device 100 determines the insurance amount based on the height of flooding.
  • the information processing device 100 transmits information indicating insurance money to the insurance company 300.
  • the insurance company 300 pays insurance money to the user.
  • FIG. 3 is a diagram showing hardware included in the information processing apparatus according to the first embodiment.
  • the information processing device 100 includes a processor 101, a volatile storage device 102, and a nonvolatile storage device 103.
  • the processor 101 controls the entire information processing device 100.
  • the processor 101 is a CPU (Central Processing Unit), an FPGA (Field Programmable Gate Array), or the like.
  • Processor 101 may be a multiprocessor.
  • the information processing device 100 may include a processing circuit.
  • the volatile storage device 102 is the main storage device of the information processing device 100.
  • the volatile storage device 102 is a RAM (Random Access Memory).
  • the nonvolatile storage device 103 is an auxiliary storage device of the information processing device 100.
  • the nonvolatile storage device 103 is a HDD (Hard Disk Drive) or an SSD (Solid State Drive).
  • FIG. 4 is a block diagram showing the functions of the information processing device according to the first embodiment.
  • the information processing device 100 includes a storage unit 110, an acquisition unit 120, an object detection unit 130, a flood line height detection unit 140, an object height detection unit 150, a calculation unit 160, an insurance money determination unit 170, and an output unit 180. has.
  • the storage unit 110 may be realized as a storage area secured in the volatile storage device 102 or the nonvolatile storage device 103.
  • a part or all of the acquisition section 120, object detection section 130, flood line height detection section 140, object height detection section 150, calculation section 160, insurance money determination section 170, and output section 180 are operated by a processing circuit. It may be realized. Further, part or all of the acquisition unit 120, the object detection unit 130, the flood line height detection unit 140, the object height detection unit 150, the calculation unit 160, the insurance money determination unit 170, and the output unit 180 are implemented by a processor. It may be realized as a module of a program executed by 101. For example, the program executed by the processor 101 is also referred to as a processing program. For example, the processing program is recorded on a recording medium.
  • Storage unit 110 stores various information.
  • the acquisition unit 120 acquires the image 210. Further, as described later, the target object 400 is used as a reference for calculating the height of flooding. Therefore, when the image 210 includes a plurality of objects, the terminal device 200 determines one object as the target object 400 from among the plurality of objects. For example, the terminal device 200 determines the object closest to the ground as the target object 400. Further, for example, the terminal device 200 determines the object specified by the user as the target object 400. The acquisition unit 120 then acquires information indicating the determined target object 400 from the terminal device 200.
  • the target object detection unit 130 detects the type of the target object 400 based on the image 210. For example, the target object detection unit 130 detects the type of the target object 400 using the image 210 and the learned model. Thereby, for example, the target object detection unit 130 can detect that the target object 400 is a bottle.
  • the learned model is stored in the storage unit 110. Furthermore, the trained model can detect objects using object recognition technology.
  • the target object detection unit 130 uses information indicating the target object 400 to identify the target object 400 from among the multiple objects. Thereby, the target object detection unit 130 can detect the target object 400 (specifically, the type of the target object 400).
  • the target object detection unit 130 detects the aspect ratio of the target object 400 in the image 210 based on the image 210. For example, if the horizontal length of the target object 400 in the image 210 is 30 pixels, and the vertical length of the target object 400 in the image 210 is 60 pixels, the target object detection unit 130 detects an aspect ratio of "1:2". ” is detected.
  • the acquisition unit 120 acquires information indicating the height of the target object 400.
  • the acquisition unit 120 acquires from the object height table.
  • an example of an object height table is illustrated.
  • FIG. 5 is a diagram showing an example of the object height table according to the first embodiment.
  • the object height table 111 is stored in the storage unit 110.
  • the object height table 111 has items of type and object height.
  • the acquisition unit 120 acquires information indicating the height of the target object 400 based on the type of the target object 400 and the target object height table 111.
  • the height of the target object 400 is the actual size height.
  • the height of the target object 400 is "21.5 cm”.
  • the height of the object 400 is also referred to as the actual object height.
  • the information processing device 100 may transmit the type of the target object 400 to an external device.
  • the acquisition unit 120 may also acquire information indicating the height of the target object 400 from an external device.
  • the flood line height detection unit 140 detects the height h of the flood line indicated by the image 210 based on the image 210. For example, the flood line height detection unit 140 detects the height h of the flood line using image analysis technology. For example, the flood line height detection unit 140 detects the height h of the flood line based on the boundary between the color of the flooded area and the color of the non-flooded area. Further, the height h of the flood line is expressed in pixels. For example, the height h of the flood line is 80 pixels.
  • the object height detection unit 150 detects the height H of the object 400 in the image 210 using at least the type of the object 400 and the aspect ratio of the object 400.
  • the height H detection process will be explained in detail.
  • the object height detection unit 150 detects the height H using the type of the object 400, the aspect ratio of the object 400, and the learned model.
  • the learned model is stored in the storage unit 110.
  • the object height detection unit 150 detects the height H using the type of the object 400, the aspect ratio of the object 400, and the height detection table.
  • a height detection table is illustrated.
  • FIG. 6 is a diagram showing an example of the height detection table according to the first embodiment.
  • Height detection table 112 is stored in storage unit 110.
  • the height detection table 112 has items of type, aspect ratio, and object height.
  • the object height detection unit 150 detects the height H using the aspect ratio of the object 400, the type of the object 400, and the height detection table 112. Note that the height H is expressed in pixels. For example, the height H is 45 pixels.
  • the object height detection unit 150 detects the height H using the height of the object 400 (that is, the actual object height), the type of the object 400, and the aspect ratio of the object 400. It's okay.
  • the height H of the target object 400, the type of the target object 400, and the aspect ratio of the target object 400 are input to the learned model, and the height H is output.
  • an item for the height of the object 400 is added to the height detection table 112.
  • the object height detection section 150 detects the height H using the height detection table 112.
  • the height H is also referred to as the image object height.
  • the calculation unit 160 calculates the inundation rate based on the height of the object 400 (for example, in cm), the height H of the object 400 (in pixels), and the height h of the inundation line (in pixels).
  • the height p (for example, unit: cm) is calculated. Specifically, the calculation unit 160 calculates the flood height p using equation (1).
  • the acquisition unit 120 acquires insurance benefit determination information. For example, the acquisition unit 120 acquires insurance benefit determination information from the storage unit 110. Further, for example, the acquisition unit 120 acquires insurance benefit determination information from an external device.
  • the insurance claim determination information is information that indicates the correspondence between the height of flooding and the insurance claim.
  • the insurance money determination unit 170 determines the insurance money based on the flood height p and the insurance money determination information. In this way, the information processing device 100 can automatically determine the insurance money.
  • the output unit 180 outputs information indicating insurance money to the insurance company 300. Specifically, the output unit 180 outputs information indicating the insurance money to a server or a terminal device owned by the insurance company 300. This allows the insurance company 300 to pay insurance money to the user.
  • FIG. 7 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the first embodiment.
  • the acquisition unit 120 acquires the image 210.
  • the target object detection unit 130 detects the type of the target object 400 based on the image 210.
  • the target object detection unit 130 detects the aspect ratio of the target object 400 in the image 210 based on the image 210.
  • Step S14 The acquisition unit 120 acquires information indicating the height of the target object 400.
  • the flood line height detection unit 140 detects the height h of the flood line based on the image 210.
  • Step S16 The object height detection unit 150 detects the height H of the object 400 using the type of the object 400 and the aspect ratio of the object 400.
  • Step S17 The calculation unit 160 calculates the flood height p based on the height of the target object 400, the height H of the target object 400, and the height h of the flood line.
  • the flood height p is also referred to as the first flood height.
  • the insurance money determination unit 170 determines the insurance money based on the flood height p and the insurance claim determination information.
  • Step S19 The output unit 180 outputs information indicating the insurance money to the insurance company 300.
  • the information processing device 100 calculates the height p of flooding based on the image 210. In this way, the flood height p can be measured without using an expensive measuring device. Therefore, the height of flooding can be measured inexpensively.
  • Embodiment 2 Next, a second embodiment will be described. In the second embodiment, matters that are different from the first embodiment will be mainly explained. In the second embodiment, explanations of matters common to the first embodiment will be omitted.
  • Embodiment 1 calculation of the height of flooding when the wall is vertical has been described.
  • Embodiment 2 calculation of the height of flooding when the wall is inclined will be explained. First, a case where the wall is tilted will be illustrated.
  • FIGS. 8(A) and 8(B) are diagrams showing an example in which the wall of Embodiment 2 is inclined.
  • FIG. 8 shows an object 400.
  • the object 400 is a plastic bottle
  • the upper part of the object 400 is a cap.
  • FIG. 8(A) shows a case where the wall is tilted. If the wall is tilted, the object 400 is also tilted. As shown in FIG. 8(B), when the object 400 is tilted, the liquid level within the object 400 is horizontal. However, the upper surface of the object 400 is not horizontal. Therefore, the angle of incidence when the object 400 is imaged differs between the liquid surface and the upper surface.
  • the information processing device 100 calculates the true height of flooding by using the difference in the incident angle. A method for calculating the true height of flooding will be explained using a specific example.
  • FIG. 9 is a diagram showing a specific example of a method for calculating the true height of flooding according to the second embodiment.
  • the imaging incident angle of the upper surface is assumed to be T.
  • the imaging incident angle of the liquid surface is assumed to be S.
  • the information processing device 100 can calculate the inclination of the wall by comparing the imaging incident angle T and the imaging incident angle S.
  • the inclination of the wall is assumed to be an angle ⁇ .
  • the information processing device 100 calculates the true height q of flooding using equation (2).
  • the information processing device 100 can calculate the true height q of flooding.
  • a method of calculating the true flood height q using specific values will be explained.
  • the object detection unit 130 Based on the image 210, the object detection unit 130 detects an aspect ratio of “0.5” of the upper surface of the object 400 in the image 210. Furthermore, based on the image 210, the object detection unit 130 detects an aspect ratio of “0.64” of the surface of the liquid in the object 400 in the image 210.
  • the calculation unit 160 calculates the imaging incident angle T based on the aspect ratio of the top surface "0.5". Specifically, the calculation unit 160 calculates the imaging incident angle T using a relational expression between the aspect ratio and the imaging incident angle. Specifically, the calculation unit 160 calculates the imaging incident angle T using equation (3).
  • the imaging incident angle T is "30 degrees".
  • the calculation unit 160 calculates the imaging incident angle S based on the aspect ratio of the liquid surface "0.64". Specifically, the calculation unit 160 calculates the imaging incident angle S using a relational expression between the aspect ratio and the imaging incident angle. Specifically, the calculation unit 160 calculates the imaging incident angle S using equation (4).
  • the imaging incident angle S is "40 degrees".
  • the calculation unit 160 calculates the inclination of the wall based on the imaging incident angle T and the imaging incident angle S. As a result, it is calculated that the inclination of the wall is "10 degrees".
  • the height p of flooding is "100 cm”.
  • the calculation unit 160 calculates the true flood height q using equation (2). As a result, it is calculated that the true height q of flooding is "98 cm”.
  • FIG. 10 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the second embodiment.
  • the process in FIG. 10 differs from the process in FIG. 7 in that steps S13a, 17a, and 18a are executed. Therefore, in FIG. 10, steps S13a, 17a, and 18a will be explained. A description of processes other than steps S13a, 17a, and 18a will be omitted.
  • Step S13a The target object detection unit 130 detects the aspect ratio of the target object 400 in the image 210 based on the image 210. Further, the object detection unit 130 detects the aspect ratio of the upper surface of the upper part of the object 400 in the image 210 based on the image 210. Furthermore, the object detection unit 130 detects the aspect ratio of the liquid level of the liquid inside the object 400 in the image 210 based on the image 210 .
  • Step S17a The calculation unit 160 calculates the flood height p based on the height of the target object 400, the height H of the target object 400, and the height h of the flood line.
  • the calculation unit 160 calculates the imaging incident angle T based on the aspect ratio of the upper surface.
  • the calculation unit 160 calculates the imaging incident angle S based on the aspect ratio of the liquid surface.
  • the calculation unit 160 calculates the inclination of the wall based on the imaging incident angle T and the imaging incident angle S.
  • the calculation unit 160 calculates the true height q of flooding using the slope of the wall and the height p of flooding.
  • the true height q of flooding is also referred to as the second height of flooding.
  • Step S18a The insurance benefit determination unit 170 determines the insurance benefit based on the true flood height q and the insurance benefit determination information.
  • the insurance claim determination information is information indicating the correspondence between the true height of flooding and insurance claims.
  • the information processing device 100 can calculate the height of flooding when the wall is tilted.
  • Embodiment 3 Next, Embodiment 3 will be described. In the third embodiment, matters that are different from the first embodiment will be mainly explained. In the third embodiment, explanations of matters common to the first embodiment will be omitted. In Embodiment 3, a method different from Embodiment 2 will be used to explain how to calculate the height of flooding when the wall is inclined.
  • the acquisition unit 120 acquires the position information of the terminal device 200, the angle of the terminal device 200 (that is, the angle at which the terminal device 200 is tilted), and depth information from the terminal device 200.
  • the terminal device 200 has an IMU (Inertial Measurement Unit) sensor.
  • the position information of the terminal device 200 and the angle of the terminal device 200 are obtained from the IMU sensor.
  • Depth information is information indicating the depth obtained when the object 400 is imaged.
  • the calculation unit 160 calculates the inclination of the wall using the position information of the terminal device 200, the angle of the terminal device 200, and the depth information. Specifically, the calculation unit 160 calculates the inclination of the wall using monocular Visual SLAM (Simultaneous Localization and Mapping). Calculation of wall inclination will be explained in detail.
  • the calculation unit 160 generates a three-dimensional map based on the position information of the terminal device 200, the angle of the terminal device 200, and the depth information. As a result, the position of a wall on a three-dimensional map (that is, three-dimensional space) is expressed.
  • the calculation unit 160 calculates the normal vector a based on the three-dimensional map.
  • the calculation unit 160 calculates a vertical vector b based on the three-dimensional map.
  • Calculation unit 160 calculates angle R using normal vector a and vector b. Specifically, the calculation unit 160 calculates the angle R using equation (5).
  • the calculation unit 160 uses the angle R to calculate the inclination of the wall (that is, the angle ⁇ ).
  • angle R and angle ⁇ are shown.
  • FIG. 11 is a diagram showing an example of the angle in the third embodiment.
  • FIG. 11 shows the angle R and the angle ⁇ . In this way, the slope of the wall is calculated.
  • the calculation unit 160 calculates the true flood height q using equation (2).
  • FIG. 12 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the third embodiment.
  • the process in FIG. 12 differs from the process in FIG. 7 in that steps S11b, 17b, and 18b are executed. Therefore, in FIG. 12, steps S11b, 17b, and 18b will be explained. A description of processes other than steps S11b, 17b, and 18b will be omitted.
  • Step S11b The acquisition unit 120 acquires the image 210.
  • the acquisition unit 120 also acquires the position information of the terminal device 200, the angle of the terminal device 200, and depth information.
  • Step S17b The calculation unit 160 calculates the flood height p based on the height H of the target object 400, the height of the target object 400, and the height h of the flood line.
  • the calculation unit 160 calculates the inclination of the wall using the position information of the terminal device 200, the angle of the terminal device 200, and the depth information.
  • the calculation unit 160 calculates the true height q of flooding using the slope of the wall and the height p of flooding.
  • Step S18b The insurance money determination unit 170 determines the insurance money based on the true flood height q and the insurance claim determination information.
  • the insurance claim determination information is information indicating the correspondence between the true height of flooding and insurance claims.
  • the information processing device 100 can calculate the height of flooding when the wall is inclined.
  • Embodiment 4 Next, Embodiment 4 will be described. In Embodiment 4, matters that are different from Embodiments 1 to 3 will be mainly explained. In Embodiment 4, explanations of matters common to Embodiments 1 to 3 will be omitted.
  • the case where the information processing device 100 executes the main processing has been described.
  • the terminal device has the same functions as the information processing device 100.
  • FIG. 13 is a block diagram showing the functions of the terminal device according to the fourth embodiment.
  • the terminal device 500 is a smartphone or a tablet terminal.
  • the terminal device 500 is also referred to as an information processing device.
  • the terminal device 500 includes a storage section 510, an acquisition section 520, an object detection section 530, a flood line height detection section 540, an object height detection section 550, a calculation section 560, an insurance money determination section 570, an output section 580, and an imaging section. 590 and a display section 591.
  • the storage unit 510 may be realized as a storage area secured in a volatile storage device or a nonvolatile storage device included in the terminal device 500.
  • a part or all of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 are connected to the terminal device 500. It may be realized by a processing circuit included in.
  • some or all of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 are It may be realized as a module of a program executed by a processor included in the device 500.
  • the imaging unit 590 is realized by a camera of the terminal device 500.
  • the display unit 591 is realized by a display of the terminal device 500.
  • the imaging unit 590 images the object 400.
  • the functions of the acquisition unit 520, object detection unit 530, flood line height detection unit 540, object height detection unit 550, calculation unit 560, insurance money determination unit 570, and output unit 580 are as follows: The functions are the same as those of the detection section 130, flood line height detection section 140, object height detection section 150, calculation section 160, insurance money determination section 170, and output section 180.
  • the acquisition unit 520 acquires an image obtained by capturing an image of the target object 400.
  • the functions of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 are 120, the functions of the object detection section 130, the flood line height detection section 140, the object height detection section 150, the calculation section 160, the insurance money determination section 170, and the output section 180 are the same. Therefore, a description of the functions of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 will be omitted. .
  • the output unit 580 outputs information indicating the insurance money to the display unit 591.
  • the display section 591 displays insurance money. This allows the user to know the amount of insurance money that can be obtained. Further, the terminal device 500 may output information indicating insurance money to the insurance company 300 through a user's operation.
  • the terminal device 500 can show the insurance money to the user.
  • 100 information processing device 101 processor, 102 volatile storage device, 103 nonvolatile storage device, 110 storage unit, 111 object height table, 112 height detection table, 120 acquisition unit, 130 object detection unit, 140 Flood line Height detection unit, 150 Object height detection unit, 160 Calculation unit, 170 Insurance benefit determination unit, 180 Output unit, 200 Terminal device, 210 Image, 300 Insurance company, 400 Object, 500 Terminal device, 5 10 Memory section, 520 acquisition section, 530 object detection section, 540 flood line height detection section, 550 object height detection section, 560 calculation section, 570 insurance money determination section, 580 output section, 590 imaging section, 591 display section.

Abstract

An information processing device (100) includes: an acquisition unit (120) that acquires an image including an object (400) of interest and indicating the status of inundation, as well as information indicating an actual object-of-interest height, which is the height of the object (400) of interest; an object-of-interest detection unit (130) that detects the type of the object (400) of interest on the basis of the image (210) and that detects the aspect ratio of the object (400) of interest in the image (210) on the basis of the image (210); an inundation-line height detection unit (140) that detects the height of an inundation line indicated by the image (210) on the basis of the image (210); an object-of-interest height detection unit (150) that detects an image object-of-interest height, which is the height of the object (400) of interest in the image (210), by using at least the type and the aspect ratio; and a calculation unit that calculates a first inundation height on the basis of the actual object-of-interest height, the image object-of-interest height, and the height of the inundation line.

Description

情報処理装置、処理方法、及び処理プログラムInformation processing device, processing method, and processing program
　本開示は、情報処理装置、処理方法、及び処理プログラムに関する。 The present disclosure relates to an information processing device, a processing method, and a processing program.
　近年、水害が増えている。例えば、大雨により、家が浸水する。家が浸水した場合、ユーザは、保険金を取得することができる。保険金は、浸水の高さに応じて支払われる。ここで、水位を計測する技術が提案されている（特許文献１を参照）。 In recent years, flood damage has been increasing. For example, a house floods due to heavy rain. If the house floods, the user can obtain insurance money. Insurance benefits are paid based on the height of the flood. Here, a technique for measuring the water level has been proposed (see Patent Document 1).
特開２０２１－１４０３３５号公報JP 2021-140335 Publication
　現在、保険会社の社員は、現地に行き、浸水の高さを計測している。しかし、社員が現地に行くことは、社員の負担を大きくする。そこで、被災したユーザが浸水の高さを計測し、当該ユーザが浸水の高さを保険会社に知らせる方法が考えられる。当該ユーザが浸水の高さを計測する場合、当該ユーザは、高価な測定器を用いて、浸水の高さを計測することができる。しかし、当該ユーザが高価な測定器を購入することは、当該ユーザの負担が大きい。 Employees of the insurance company are currently on site and measuring the height of the flooding. However, having employees go to the site places a heavy burden on them. Therefore, one possible method is for a disaster-stricken user to measure the height of the flood water and notify the insurance company of the height of the flood water. When the user measures the height of flooding, the user can measure the height of flooding using an expensive measuring device. However, it is a heavy burden for the user to purchase an expensive measuring device.
　本開示の目的は、安価に浸水の高さを計測することである。 The purpose of the present disclosure is to measure the height of flooding at low cost.
　本開示の一態様に係る情報処理装置が提供される。情報処理装置は、対象物を含み、かつ浸水状況を示す画像と、前記対象物の高さである実物対象物高さを示す情報とを取得する取得部と、前記画像に基づいて、前記対象物の種類を検出し、前記画像に基づいて、前記画像における前記対象物のアスペクト比を検出する対象物検出部と、前記画像に基づいて、前記画像が示す浸水線の高さを検出する浸水線高さ検出部と、少なくとも前記種類と前記アスペクト比とを用いて、前記画像における前記対象物の高さである画像対象物高さを検出する対象物高さ検出部と、前記実物対象物高さ、前記画像対象物高さ、及び前記浸水線の高さに基づいて、第１の浸水の高さを算出する算出部と、を有する。 An information processing device according to one aspect of the present disclosure is provided. The information processing device includes an acquisition unit that acquires an image that includes a target object and indicates a flood situation, and information indicating a height of the actual target object, which is a height of the target object; an object detection unit that detects the type of object and, based on the image, detects the aspect ratio of the object in the image; and a flood inundation unit that detects the height of a flood line indicated by the image, based on the image. a line height detection section; an object height detection section that detects an image object height that is the height of the object in the image using at least the type and the aspect ratio; and the real object. a calculation unit that calculates a first flood height based on the height, the height of the image object, and the height of the flood line.
　本開示によれば、安価に浸水の高さを計測することができる。 According to the present disclosure, the height of flooding can be measured at low cost.
実施の形態１の通信システムを示す図である。1 is a diagram showing a communication system according to Embodiment 1. FIG. 実施の形態１の浸水状況の例を示す図である。FIG. 3 is a diagram showing an example of a flooding situation according to the first embodiment. 実施の形態１の情報処理装置が有するハードウェアを示す図である。FIG. 2 is a diagram showing hardware included in the information processing apparatus according to the first embodiment. 実施の形態１の情報処理装置の機能を示すブロック図である。FIG. 2 is a block diagram showing functions of the information processing device according to the first embodiment. 実施の形態１の対象物高さテーブルの例を示す図である。3 is a diagram showing an example of an object height table according to the first embodiment; FIG. 実施の形態１の高さ検出テーブルの例を示す図である。5 is a diagram showing an example of a height detection table according to the first embodiment. FIG. 実施の形態１の情報処理装置が実行する処理の例を示すフローチャートである。3 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the first embodiment. （Ａ），（Ｂ）は、実施の形態２の壁が傾いている場合の例を示す図である。(A) and (B) are diagrams showing an example in which the wall of the second embodiment is inclined. 実施の形態２の真の浸水の高さを算出する方法の具体例を示す図である。7 is a diagram illustrating a specific example of a method for calculating the true height of flooding in Embodiment 2. FIG. 実施の形態２の情報処理装置が実行する処理の例を示すフローチャートである。12 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the second embodiment. 実施の形態３の角度の例を示す図である。7 is a diagram showing an example of an angle in Embodiment 3. FIG. 実施の形態３の情報処理装置が実行する処理の例を示すフローチャートである。12 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the third embodiment. 実施の形態４の端末装置の機能を示すブロック図である。FIG. 7 is a block diagram showing the functions of a terminal device according to a fourth embodiment.
　以下、図面を参照しながら実施の形態を説明する。以下の実施の形態は、例にすぎず、本開示の範囲内で種々の変更が可能である。 Hereinafter, embodiments will be described with reference to the drawings. The following embodiments are merely examples, and various modifications can be made within the scope of the present disclosure.
実施の形態１．
　図１は、実施の形態１の通信システムを示す図である。通信システムは、情報処理装置１００及び端末装置２００を含む。情報処理装置１００及び端末装置２００は、ネットワークを介して、通信する。
　情報処理装置１００は、処理方法を実行する装置である。例えば、情報処理装置１００は、サーバである。
　端末装置２００は、ユーザが使用する装置である。例えば、端末装置２００は、スマートフォン、又はタブレット端末である。 Embodiment 1.
FIG. 1 is a diagram showing a communication system according to the first embodiment. The communication system includes an information processing device 100 and a terminal device 200. The information processing device 100 and the terminal device 200 communicate via a network.
The information processing device 100 is a device that executes a processing method. For example, the information processing device 100 is a server.
Terminal device 200 is a device used by a user. For example, the terminal device 200 is a smartphone or a tablet terminal.
　ユーザは、保険に加入している。ユーザの家は、浸水している。そのため、ユーザは、保険金を受け取ることができる。ユーザが保険金を受け取るまでの流れを簡単に説明する。
　ユーザは、端末装置２００を用いて、浸水状況を撮像する。浸水状況を、図を用いて具体的に示す。 The user has insurance. The user's house is flooded. Therefore, the user can receive insurance money. Briefly explain the flow until the user receives insurance money.
The user uses the terminal device 200 to capture an image of the flooding situation. The situation of flooding is concretely shown using diagrams.
　図２は、実施の形態１の浸水状況の例を示す図である。ユーザは、端末装置２００を用いて、浸水状況を撮像する。例えば、浸水状況は、ユーザの家の壁から把握される。また、浸水状況は、壁以外の構造物（例えば、柱、ドアなど）から把握されてもよい。例えば、ユーザは、端末装置２００を用いて、壁と地面とを撮像してもよい。
　ここで、ユーザは、撮像を行う前に、対象物４００を設置してもよい。例えば、対象物４００は、ビン、ペットボトルなどである。すなわち、対象物４００は、身近に存在するものである。また、対象物４００は、浮遊物でもよい。 FIG. 2 is a diagram illustrating an example of a flooding situation according to the first embodiment. The user uses the terminal device 200 to capture an image of the flooding situation. For example, the flood situation can be ascertained from the walls of the user's home. Furthermore, the flood situation may be determined from structures other than walls (for example, pillars, doors, etc.). For example, the user may use the terminal device 200 to capture an image of a wall and the ground.
Here, the user may place the target object 400 before imaging. For example, the object 400 is a bottle, a plastic bottle, or the like. That is, the target object 400 is something that exists nearby. Further, the object 400 may be a floating object.
　端末装置２００が生成する画像２１０は、対象物４００を含む画像であり、浸水状況を示す画像である。
　端末装置２００は、画像２１０を情報処理装置１００に送信する。情報処理装置１００は、画像２１０に基づいて、浸水の高さを算出する。情報処理装置１００は、浸水の高さに基づいて、保険金を決定する。情報処理装置１００は、保険金を示す情報を保険会社３００に送信する。保険会社３００は、保険金をユーザに支払う。 The image 210 generated by the terminal device 200 is an image that includes the target object 400 and is an image that shows a flood situation.
The terminal device 200 transmits the image 210 to the information processing device 100. The information processing device 100 calculates the height of flooding based on the image 210. The information processing device 100 determines the insurance amount based on the height of flooding. The information processing device 100 transmits information indicating insurance money to the insurance company 300. The insurance company 300 pays insurance money to the user.
　上記したように、保険金を決定するには、浸水の高さを算出することが必要である。以下の説明では、浸水の高さの算出を主に説明する。 As mentioned above, in order to determine insurance benefits, it is necessary to calculate the height of flooding. In the following explanation, calculation of the height of flooding will be mainly explained.
　次に、情報処理装置１００が有するハードウェアを説明する。
　図３は、実施の形態１の情報処理装置が有するハードウェアを示す図である。情報処理装置１００は、プロセッサ１０１、揮発性記憶装置１０２、及び不揮発性記憶装置１０３を有する。 Next, hardware included in the information processing device 100 will be explained.
FIG. 3 is a diagram showing hardware included in the information processing apparatus according to the first embodiment. The information processing device 100 includes a processor 101, a volatile storage device 102, and a nonvolatile storage device 103.
　プロセッサ１０１は、情報処理装置１００全体を制御する。例えば、プロセッサ１０１は、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）、ＦＰＧＡ（Ｆｉｅｌｄ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）などである。プロセッサ１０１は、マルチプロセッサでもよい。また、情報処理装置１００は、処理回路を有してもよい。 The processor 101 controls the entire information processing device 100. For example, the processor 101 is a CPU (Central Processing Unit), an FPGA (Field Programmable Gate Array), or the like. Processor 101 may be a multiprocessor. Further, the information processing device 100 may include a processing circuit.
　揮発性記憶装置１０２は、情報処理装置１００の主記憶装置である。例えば、揮発性記憶装置１０２は、ＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）である。不揮発性記憶装置１０３は、情報処理装置１００の補助記憶装置である。例えば、不揮発性記憶装置１０３は、ＨＤＤ（Ｈａｒｄ　Ｄｉｓｋ　Ｄｒｉｖｅ）、又はＳＳＤ（Ｓｏｌｉｄ　Ｓｔａｔｅ　Ｄｒｉｖｅ）である。 The volatile storage device 102 is the main storage device of the information processing device 100. For example, the volatile storage device 102 is a RAM (Random Access Memory). The nonvolatile storage device 103 is an auxiliary storage device of the information processing device 100. For example, the nonvolatile storage device 103 is a HDD (Hard Disk Drive) or an SSD (Solid State Drive).
　次に、情報処理装置１００が有する機能を説明する。
　図４は、実施の形態１の情報処理装置の機能を示すブロック図である。情報処理装置１００は、記憶部１１０、取得部１２０、対象物検出部１３０、浸水線高さ検出部１４０、対象物高さ検出部１５０、算出部１６０、保険金決定部１７０、及び出力部１８０を有する。 Next, the functions of the information processing device 100 will be explained.
FIG. 4 is a block diagram showing the functions of the information processing device according to the first embodiment. The information processing device 100 includes a storage unit 110, an acquisition unit 120, an object detection unit 130, a flood line height detection unit 140, an object height detection unit 150, a calculation unit 160, an insurance money determination unit 170, and an output unit 180. has.
　記憶部１１０は、揮発性記憶装置１０２又は不揮発性記憶装置１０３に確保した記憶領域として実現してもよい。
　取得部１２０、対象物検出部１３０、浸水線高さ検出部１４０、対象物高さ検出部１５０、算出部１６０、保険金決定部１７０、及び出力部１８０の一部又は全部は、処理回路によって実現してもよい。また、取得部１２０、対象物検出部１３０、浸水線高さ検出部１４０、対象物高さ検出部１５０、算出部１６０、保険金決定部１７０、及び出力部１８０の一部又は全部は、プロセッサ１０１が実行するプログラムのモジュールとして実現してもよい。例えば、プロセッサ１０１が実行するプログラムは、処理プログラムとも言う。例えば、処理プログラムは、記録媒体に記録されている。 The storage unit 110 may be realized as a storage area secured in the volatile storage device 102 or the nonvolatile storage device 103.
A part or all of the acquisition section 120, object detection section 130, flood line height detection section 140, object height detection section 150, calculation section 160, insurance money determination section 170, and output section 180 are operated by a processing circuit. It may be realized. Further, part or all of the acquisition unit 120, the object detection unit 130, the flood line height detection unit 140, the object height detection unit 150, the calculation unit 160, the insurance money determination unit 170, and the output unit 180 are implemented by a processor. It may be realized as a module of a program executed by 101. For example, the program executed by the processor 101 is also referred to as a processing program. For example, the processing program is recorded on a recording medium.
　記憶部１１０は、様々な情報を記憶する。
　取得部１２０は、画像２１０を取得する。また、後述するように、対象物４００は、浸水の高さを算出するための基準として用いられる。そのため、画像２１０に複数の物が含まれている場合、端末装置２００は、複数の物の中から、１つの物を対象物４００に決定する。例えば、端末装置２００は、地面に最も近い物を対象物４００に決定する。また、例えば、端末装置２００は、ユーザが指定した物を対象物４００に決定する。そして、取得部１２０は、決定された対象物４００を示す情報を端末装置２００から取得する。 Storage unit 110 stores various information.
The acquisition unit 120 acquires the image 210. Further, as described later, the target object 400 is used as a reference for calculating the height of flooding. Therefore, when the image 210 includes a plurality of objects, the terminal device 200 determines one object as the target object 400 from among the plurality of objects. For example, the terminal device 200 determines the object closest to the ground as the target object 400. Further, for example, the terminal device 200 determines the object specified by the user as the target object 400. The acquisition unit 120 then acquires information indicating the determined target object 400 from the terminal device 200.
　対象物検出部１３０は、画像２１０に基づいて、対象物４００の種類を検出する。例えば、対象物検出部１３０は、画像２１０と学習済モデルとを用いて、対象物４００の種類を検出する。これにより、例えば、対象物検出部１３０は、対象物４００がビンであることを検出できる。なお、当該学習済モデルは、記憶部１１０に格納されている。さらに、当該学習済モデルは、物体認識技術により、物体を検出することができる。 The target object detection unit 130 detects the type of the target object 400 based on the image 210. For example, the target object detection unit 130 detects the type of the target object 400 using the image 210 and the learned model. Thereby, for example, the target object detection unit 130 can detect that the target object 400 is a bottle. Note that the learned model is stored in the storage unit 110. Furthermore, the trained model can detect objects using object recognition technology.
　また、画像２１０に複数の物が含まれている場合、対象物検出部１３０は、対象物４００を示す情報を用いて、複数の物の中から対象物４００を特定する。これにより、対象物検出部１３０は、対象物４００（詳細には、対象物４００の種類）を検出することができる。 Further, when the image 210 includes multiple objects, the target object detection unit 130 uses information indicating the target object 400 to identify the target object 400 from among the multiple objects. Thereby, the target object detection unit 130 can detect the target object 400 (specifically, the type of the target object 400).
　対象物検出部１３０は、画像２１０に基づいて、画像２１０における対象物４００のアスペクト比を検出する。例えば、画像２１０における対象物４００の横の長さが３０ピクセルであり、画像２１０における対象物４００の縦の長さが６０ピクセルである場合、対象物検出部１３０は、アスペクト比“１：２”を検出する。 The target object detection unit 130 detects the aspect ratio of the target object 400 in the image 210 based on the image 210. For example, if the horizontal length of the target object 400 in the image 210 is 30 pixels, and the vertical length of the target object 400 in the image 210 is 60 pixels, the target object detection unit 130 detects an aspect ratio of "1:2". ” is detected.
　取得部１２０は、対象物４００の高さを示す情報を取得する。例えば、取得部１２０は、対象物高さテーブルから取得する。ここで、対象物高さテーブルを例示する。 The acquisition unit 120 acquires information indicating the height of the target object 400. For example, the acquisition unit 120 acquires from the object height table. Here, an example of an object height table is illustrated.
　図５は、実施の形態１の対象物高さテーブルの例を示す図である。対象物高さテーブル１１１は、記憶部１１０に格納されている。対象物高さテーブル１１１は、種類と対象物高さとの項目を有する。取得部１２０は、対象物４００の種類と対象物高さテーブル１１１とに基づいて、対象物４００の高さを示す情報を取得する。なお、対象物４００の高さは、実寸大の高さである。例えば、対象物４００の高さは、“２１．５ｃｍ”である。また、対象物４００の高さは、実物対象物高さとも言う。 FIG. 5 is a diagram showing an example of the object height table according to the first embodiment. The object height table 111 is stored in the storage unit 110. The object height table 111 has items of type and object height. The acquisition unit 120 acquires information indicating the height of the target object 400 based on the type of the target object 400 and the target object height table 111. Note that the height of the target object 400 is the actual size height. For example, the height of the target object 400 is "21.5 cm". Further, the height of the object 400 is also referred to as the actual object height.
　また、情報処理装置１００は、対象物４００の種類を外部装置に送信してもよい。そして、取得部１２０は、対象物４００の高さを示す情報を外部装置から取得してもよい。 Additionally, the information processing device 100 may transmit the type of the target object 400 to an external device. The acquisition unit 120 may also acquire information indicating the height of the target object 400 from an external device.
　浸水線高さ検出部１４０は、画像２１０に基づいて、画像２１０が示す浸水線の高さｈを検出する。例えば、浸水線高さ検出部１４０は、画像解析技術を用いて、浸水線の高さｈを検出する。例えば、浸水線高さ検出部１４０は、浸水している箇所の色と、浸水していない箇所の色との境界に基づいて、浸水線の高さｈを検出する。
　また、浸水線の高さｈは、ピクセルで表される。例えば、浸水線の高さｈは、８０ピクセルである。 The flood line height detection unit 140 detects the height h of the flood line indicated by the image 210 based on the image 210. For example, the flood line height detection unit 140 detects the height h of the flood line using image analysis technology. For example, the flood line height detection unit 140 detects the height h of the flood line based on the boundary between the color of the flooded area and the color of the non-flooded area.
Further, the height h of the flood line is expressed in pixels. For example, the height h of the flood line is 80 pixels.
　対象物高さ検出部１５０は、少なくとも対象物４００の種類と対象物４００のアスペクト比とを用いて、画像２１０における対象物４００の高さＨを検出する。高さＨの検出処理を詳細に説明する。例えば、対象物高さ検出部１５０は、対象物４００の種類と対象物４００のアスペクト比と学習済モデルとを用いて、高さＨを検出する。なお、当該学習済モデルは、記憶部１１０に格納されている。また、例えば、対象物高さ検出部１５０は、対象物４００の種類と対象物４００のアスペクト比と高さ検出テーブルとを用いて、高さＨを検出する。ここで、高さ検出テーブルを例示する。 The object height detection unit 150 detects the height H of the object 400 in the image 210 using at least the type of the object 400 and the aspect ratio of the object 400. The height H detection process will be explained in detail. For example, the object height detection unit 150 detects the height H using the type of the object 400, the aspect ratio of the object 400, and the learned model. Note that the learned model is stored in the storage unit 110. Further, for example, the object height detection unit 150 detects the height H using the type of the object 400, the aspect ratio of the object 400, and the height detection table. Here, a height detection table is illustrated.
　図６は、実施の形態１の高さ検出テーブルの例を示す図である。高さ検出テーブル１１２は、記憶部１１０に格納されている。高さ検出テーブル１１２は、種類とアスペクト比と対象物高さとの項目を有する。対象物高さ検出部１５０は、対象物４００のアスペクト比と対象物４００の種類と高さ検出テーブル１１２とを用いて、高さＨを検出する。なお、高さＨは、ピクセルで表される。例えば、高さＨは、４５ピクセルである。 FIG. 6 is a diagram showing an example of the height detection table according to the first embodiment. Height detection table 112 is stored in storage unit 110. The height detection table 112 has items of type, aspect ratio, and object height. The object height detection unit 150 detects the height H using the aspect ratio of the object 400, the type of the object 400, and the height detection table 112. Note that the height H is expressed in pixels. For example, the height H is 45 pixels.
　また、対象物高さ検出部１５０は、対象物４００の高さ（すなわち、実物対象物高さ）と対象物４００の種類と対象物４００のアスペクト比とを用いて、高さＨを検出してもよい。当該検出方法が用いられる場合、対象物４００の高さと対象物４００の種類と対象物４００のアスペクト比とが学習済モデルに入力されることで、高さＨが出力される。また、当該検出方法が用いられる場合、高さ検出テーブル１１２には、対象物４００の高さの項目が追加される。そして、対象物高さ検出部１５０は、高さ検出テーブル１１２を用いて、高さＨを検出する。
　ここで、高さＨは、画像対象物高さとも言う。 Further, the object height detection unit 150 detects the height H using the height of the object 400 (that is, the actual object height), the type of the object 400, and the aspect ratio of the object 400. It's okay. When this detection method is used, the height H of the target object 400, the type of the target object 400, and the aspect ratio of the target object 400 are input to the learned model, and the height H is output. Furthermore, when the detection method is used, an item for the height of the object 400 is added to the height detection table 112. Then, the object height detection section 150 detects the height H using the height detection table 112.
Here, the height H is also referred to as the image object height.
　算出部１６０は、対象物４００の高さ（例えば、単位：ｃｍ）、対象物４００の高さＨ（単位：ピクセル）、及び浸水線の高さｈ（単位：ピクセル）に基づいて、浸水の高さｐ（例えば、単位：ｃｍ）を算出する。詳細には、算出部１６０は、式（１）を用いて、浸水の高さｐを算出する。 The calculation unit 160 calculates the inundation rate based on the height of the object 400 (for example, in cm), the height H of the object 400 (in pixels), and the height h of the inundation line (in pixels). The height p (for example, unit: cm) is calculated. Specifically, the calculation unit 160 calculates the flood height p using equation (1).
Figure JPOXMLDOC01-appb-M000001
Figure JPOXMLDOC01-appb-M000001
　取得部１２０は、保険金決定情報を取得する。例えば、取得部１２０は、保険金決定情報を記憶部１１０から取得する。また、例えば、取得部１２０は、保険金決定情報を外部装置から取得する。 The acquisition unit 120 acquires insurance benefit determination information. For example, the acquisition unit 120 acquires insurance benefit determination information from the storage unit 110. Further, for example, the acquisition unit 120 acquires insurance benefit determination information from an external device.
　保険金決定情報は、浸水の高さと保険金との対応関係を示す情報である。保険金決定部１７０は、浸水の高さｐと、保険金決定情報とに基づいて、保険金を決定する。このように、情報処理装置１００は、自動的に保険金を決定することができる。 The insurance claim determination information is information that indicates the correspondence between the height of flooding and the insurance claim. The insurance money determination unit 170 determines the insurance money based on the flood height p and the insurance money determination information. In this way, the information processing device 100 can automatically determine the insurance money.
　出力部１８０は、保険金を示す情報を保険会社３００に出力する。詳細には、出力部１８０は、保険会社３００が有するサーバ又は端末装置に、保険金を示す情報を出力する。これにより、保険会社３００は、保険金をユーザに支払うことができる。 The output unit 180 outputs information indicating insurance money to the insurance company 300. Specifically, the output unit 180 outputs information indicating the insurance money to a server or a terminal device owned by the insurance company 300. This allows the insurance company 300 to pay insurance money to the user.
　次に、情報処理装置１００が実行する処理を、フローチャートを用いて、説明する。
　図７は、実施の形態１の情報処理装置が実行する処理の例を示すフローチャートである。
　（ステップＳ１１）取得部１２０は、画像２１０を取得する。
　（ステップＳ１２）対象物検出部１３０は、画像２１０に基づいて、対象物４００の種類を検出する。
　（ステップＳ１３）対象物検出部１３０は、画像２１０に基づいて、画像２１０における対象物４００のアスペクト比を検出する。 Next, the processing executed by the information processing apparatus 100 will be explained using a flowchart.
FIG. 7 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the first embodiment.
(Step S11) The acquisition unit 120 acquires the image 210.
(Step S12) The target object detection unit 130 detects the type of the target object 400 based on the image 210.
(Step S13) The target object detection unit 130 detects the aspect ratio of the target object 400 in the image 210 based on the image 210.
　（ステップＳ１４）取得部１２０は、対象物４００の高さを示す情報を取得する。
　（ステップＳ１５）浸水線高さ検出部１４０は、画像２１０に基づいて、浸水線の高さｈを検出する。
　（ステップＳ１６）対象物高さ検出部１５０は、対象物４００の種類と対象物４００のアスペクト比とを用いて、対象物４００の高さＨを検出する。 (Step S14) The acquisition unit 120 acquires information indicating the height of the target object 400.
(Step S15) The flood line height detection unit 140 detects the height h of the flood line based on the image 210.
(Step S16) The object height detection unit 150 detects the height H of the object 400 using the type of the object 400 and the aspect ratio of the object 400.
　（ステップＳ１７）算出部１６０は、対象物４００の高さ、対象物４００の高さＨ、及び浸水線の高さｈに基づいて、浸水の高さｐを算出する。ここで、浸水の高さｐは、第１の浸水の高さとも言う。
　（ステップＳ１８）保険金決定部１７０は、浸水の高さｐと、保険金決定情報とに基づいて、保険金を決定する。
　（ステップＳ１９）出力部１８０は、保険金を示す情報を保険会社３００に出力する。 (Step S17) The calculation unit 160 calculates the flood height p based on the height of the target object 400, the height H of the target object 400, and the height h of the flood line. Here, the flood height p is also referred to as the first flood height.
(Step S18) The insurance money determination unit 170 determines the insurance money based on the flood height p and the insurance claim determination information.
(Step S19) The output unit 180 outputs information indicating the insurance money to the insurance company 300.
　実施の形態１によれば、情報処理装置１００は、画像２１０に基づいて、浸水の高さｐを算出する。このように、浸水の高さｐは、高価な測定器を用いなくても、計測される。よって、安価に浸水の高さが計測される。 According to the first embodiment, the information processing device 100 calculates the height p of flooding based on the image 210. In this way, the flood height p can be measured without using an expensive measuring device. Therefore, the height of flooding can be measured inexpensively.
実施の形態２．
　次に、実施の形態２を説明する。実施の形態２では、実施の形態１と相違する事項を主に説明する。そして、実施の形態２では、実施の形態１と共通する事項の説明を省略する。 Embodiment 2.
Next, a second embodiment will be described. In the second embodiment, matters that are different from the first embodiment will be mainly explained. In the second embodiment, explanations of matters common to the first embodiment will be omitted.
　実施の形態１では、壁が垂直である場合における浸水の高さの算出を説明した。実施の形態２では、壁が傾いている場合における浸水の高さの算出を説明する。まず、壁が傾いている場合を例示する。 In Embodiment 1, calculation of the height of flooding when the wall is vertical has been described. In Embodiment 2, calculation of the height of flooding when the wall is inclined will be explained. First, a case where the wall is tilted will be illustrated.
　図８（Ａ），（Ｂ）は、実施の形態２の壁が傾いている場合の例を示す図である。図８は、対象物４００を示している。例えば、対象物４００がペットボトルである場合、対象物４００の上部は、キャップである。 FIGS. 8(A) and 8(B) are diagrams showing an example in which the wall of Embodiment 2 is inclined. FIG. 8 shows an object 400. For example, when the object 400 is a plastic bottle, the upper part of the object 400 is a cap.
　図８（Ａ）は、壁が傾いている場合を示している。壁が傾いている場合、対象物４００も傾いている。図８（Ｂ）が示すように、対象物４００が傾いている場合、対象物４００内の液体の液面は、水平である。しかし、対象物４００の上部の上面は、水平でない。そのため、対象物４００が撮像されたときの入射角度は、液面と上面とで異なる。情報処理装置１００は、入射角度の違いを利用して、真の浸水の高さを算出する。真の浸水の高さを算出する方法を、具体例を用いて説明する。 FIG. 8(A) shows a case where the wall is tilted. If the wall is tilted, the object 400 is also tilted. As shown in FIG. 8(B), when the object 400 is tilted, the liquid level within the object 400 is horizontal. However, the upper surface of the object 400 is not horizontal. Therefore, the angle of incidence when the object 400 is imaged differs between the liquid surface and the upper surface. The information processing device 100 calculates the true height of flooding by using the difference in the incident angle. A method for calculating the true height of flooding will be explained using a specific example.
　図９は、実施の形態２の真の浸水の高さを算出する方法の具体例を示す図である。上面の撮像入射角度は、Ｔとする。液面の撮像入射角度は、Ｓとする。情報処理装置１００は、撮像入射角度Ｔと撮像入射角度Ｓとを比較することで、壁の傾きを算出することができる。壁の傾きは、角度θとする。
　情報処理装置１００は、式（２）を用いて、真の浸水の高さｑを算出する。 FIG. 9 is a diagram showing a specific example of a method for calculating the true height of flooding according to the second embodiment. The imaging incident angle of the upper surface is assumed to be T. The imaging incident angle of the liquid surface is assumed to be S. The information processing device 100 can calculate the inclination of the wall by comparing the imaging incident angle T and the imaging incident angle S. The inclination of the wall is assumed to be an angle θ.
The information processing device 100 calculates the true height q of flooding using equation (2).
Figure JPOXMLDOC01-appb-M000002
Figure JPOXMLDOC01-appb-M000002
　このように、情報処理装置１００は、真の浸水の高さｑを算出することができる。次に、具体的な値を用いて、真の浸水の高さｑを算出する方法を説明する。 In this way, the information processing device 100 can calculate the true height q of flooding. Next, a method of calculating the true flood height q using specific values will be explained.
　対象物検出部１３０は、画像２１０に基づいて、画像２１０における対象物４００の上部の上面のアスペクト比“０．５”を検出する。また、対象物検出部１３０は、画像２１０に基づいて、画像２１０における対象物４００内の液体の液面のアスペクト比“０．６４”を検出する。 Based on the image 210, the object detection unit 130 detects an aspect ratio of “0.5” of the upper surface of the object 400 in the image 210. Furthermore, based on the image 210, the object detection unit 130 detects an aspect ratio of “0.64” of the surface of the liquid in the object 400 in the image 210.
　算出部１６０は、上面のアスペクト比“０．５”に基づいて、撮像入射角度Ｔを算出する。詳細には、算出部１６０は、アスペクト比と撮像入射角度との関係式を用いて、撮像入射角度Ｔを算出する。具体的には、算出部１６０は、式（３）によって、撮像入射角度Ｔを算出する。 The calculation unit 160 calculates the imaging incident angle T based on the aspect ratio of the top surface "0.5". Specifically, the calculation unit 160 calculates the imaging incident angle T using a relational expression between the aspect ratio and the imaging incident angle. Specifically, the calculation unit 160 calculates the imaging incident angle T using equation (3).
Figure JPOXMLDOC01-appb-M000003
Figure JPOXMLDOC01-appb-M000003
　これにより、撮像入射角度Ｔが“３０度”であることが、算出される。 As a result, it is calculated that the imaging incident angle T is "30 degrees".
　算出部１６０は、液面のアスペクト比“０．６４”に基づいて、撮像入射角度Ｓを算出する。詳細には、算出部１６０は、アスペクト比と撮像入射角度との関係式を用いて、撮像入射角度Ｓを算出する。具体的には、算出部１６０は、式（４）によって、撮像入射角度Ｓを算出する。 The calculation unit 160 calculates the imaging incident angle S based on the aspect ratio of the liquid surface "0.64". Specifically, the calculation unit 160 calculates the imaging incident angle S using a relational expression between the aspect ratio and the imaging incident angle. Specifically, the calculation unit 160 calculates the imaging incident angle S using equation (4).
Figure JPOXMLDOC01-appb-M000004
Figure JPOXMLDOC01-appb-M000004
　これにより、撮像入射角度Ｓが“４０度”であることが、算出される。 As a result, it is calculated that the imaging incident angle S is "40 degrees".
　算出部１６０は、撮像入射角度Ｔと撮像入射角度Ｓとに基づいて、壁の傾きを算出する。これにより、壁の傾きが“１０度”であることが、算出される。ここで、浸水の高さｐは、“１００ｃｍ”とする。
　算出部１６０は、式（２）を用いて、真の浸水の高さｑを算出する。これにより、真の浸水の高さｑが“９８ｃｍ”であることが、算出される。 The calculation unit 160 calculates the inclination of the wall based on the imaging incident angle T and the imaging incident angle S. As a result, it is calculated that the inclination of the wall is "10 degrees". Here, the height p of flooding is "100 cm".
The calculation unit 160 calculates the true flood height q using equation (2). As a result, it is calculated that the true height q of flooding is "98 cm".
　次に、情報処理装置１００が実行する処理を、フローチャートを用いて説明する。
　図１０は、実施の形態２の情報処理装置が実行する処理の例を示すフローチャートである。図１０の処理は、ステップＳ１３ａ，１７ａ，１８ａが実行される点が図７の処理と異なる。そのため、図１０では、ステップＳ１３ａ，１７ａ，１８ａを説明する。そして、ステップＳ１３ａ，１７ａ，１８ａ以外の処理の説明は、省略する。 Next, the processing executed by the information processing apparatus 100 will be explained using a flowchart.
FIG. 10 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the second embodiment. The process in FIG. 10 differs from the process in FIG. 7 in that steps S13a, 17a, and 18a are executed. Therefore, in FIG. 10, steps S13a, 17a, and 18a will be explained. A description of processes other than steps S13a, 17a, and 18a will be omitted.
　（ステップＳ１３ａ）対象物検出部１３０は、画像２１０に基づいて、画像２１０における対象物４００のアスペクト比を検出する。また、対象物検出部１３０は、画像２１０に基づいて、画像２１０における対象物４００の上部の上面のアスペクト比を検出する。また、対象物検出部１３０は、画像２１０に基づいて、画像２１０における対象物４００内の液体の液面のアスペクト比を検出する。 (Step S13a) The target object detection unit 130 detects the aspect ratio of the target object 400 in the image 210 based on the image 210. Further, the object detection unit 130 detects the aspect ratio of the upper surface of the upper part of the object 400 in the image 210 based on the image 210. Furthermore, the object detection unit 130 detects the aspect ratio of the liquid level of the liquid inside the object 400 in the image 210 based on the image 210 .
　（ステップＳ１７ａ）算出部１６０は、対象物４００の高さ、対象物４００の高さＨ、及び浸水線の高さｈに基づいて、浸水の高さｐを算出する。
　算出部１６０は、上面のアスペクト比に基づいて、撮像入射角度Ｔを算出する。算出部１６０は、液面のアスペクト比に基づいて、撮像入射角度Ｓを算出する。算出部１６０は、撮像入射角度Ｔと撮像入射角度Ｓとに基づいて、壁の傾きを算出する。算出部１６０は、壁の傾きと浸水の高さｐとを用いて、真の浸水の高さｑを算出する。ここで、真の浸水の高さｑは、第２の浸水の高さとも言う。 (Step S17a) The calculation unit 160 calculates the flood height p based on the height of the target object 400, the height H of the target object 400, and the height h of the flood line.
The calculation unit 160 calculates the imaging incident angle T based on the aspect ratio of the upper surface. The calculation unit 160 calculates the imaging incident angle S based on the aspect ratio of the liquid surface. The calculation unit 160 calculates the inclination of the wall based on the imaging incident angle T and the imaging incident angle S. The calculation unit 160 calculates the true height q of flooding using the slope of the wall and the height p of flooding. Here, the true height q of flooding is also referred to as the second height of flooding.
　（ステップＳ１８ａ）保険金決定部１７０は、真の浸水の高さｑと、保険金決定情報とに基づいて、保険金を決定する。なお、当該保険金決定情報は、真の浸水の高さと保険金との対応関係を示す情報である。 (Step S18a) The insurance benefit determination unit 170 determines the insurance benefit based on the true flood height q and the insurance benefit determination information. Note that the insurance claim determination information is information indicating the correspondence between the true height of flooding and insurance claims.
　実施の形態２によれば、情報処理装置１００は、壁が傾いている場合における浸水の高さを算出することができる。 According to the second embodiment, the information processing device 100 can calculate the height of flooding when the wall is tilted.
実施の形態３．
　次に、実施の形態３を説明する。実施の形態３では、実施の形態１と相違する事項を主に説明する。そして、実施の形態３では、実施の形態１と共通する事項の説明を省略する。
　実施の形態３では、実施の形態２と異なる方法で、壁が傾いている場合における浸水の高さの算出を説明する。 Embodiment 3.
Next, Embodiment 3 will be described. In the third embodiment, matters that are different from the first embodiment will be mainly explained. In the third embodiment, explanations of matters common to the first embodiment will be omitted.
In Embodiment 3, a method different from Embodiment 2 will be used to explain how to calculate the height of flooding when the wall is inclined.
　取得部１２０は、端末装置２００の位置情報と、端末装置２００の角度（すなわち、端末装置２００が傾いている角度）と、深度情報とを端末装置２００から取得する。ここで、端末装置２００は、ＩＭＵ（Ｉｎｅｒｔｉａｌ　Ｍｅａｓｕｒｅｍｅｎｔ　Ｕｎｉｔ）センサを有している。端末装置２００の位置情報と、端末装置２００の角度とは、ＩＭＵセンサから得られる。深度情報は、対象物４００が撮像されたときに得られた深度を示す情報である。 The acquisition unit 120 acquires the position information of the terminal device 200, the angle of the terminal device 200 (that is, the angle at which the terminal device 200 is tilted), and depth information from the terminal device 200. Here, the terminal device 200 has an IMU (Inertial Measurement Unit) sensor. The position information of the terminal device 200 and the angle of the terminal device 200 are obtained from the IMU sensor. Depth information is information indicating the depth obtained when the object 400 is imaged.
　算出部１６０は、端末装置２００の位置情報と、端末装置２００の角度と、深度情報とを用いて、壁の傾きを算出する。具体的には、算出部１６０は、単眼ＶｉｓｕａｌＳＬＡＭ（Ｓｉｍｕｌｔａｎｅｏｕｓ　Ｌｏｃａｌｉｚａｔｉｏｎ　ａｎｄ　Ｍａｐｐｉｎｇ）を用いて、壁の傾きを算出する。詳細に、壁の傾きの算出を説明する。算出部１６０は、端末装置２００の位置情報と、端末装置２００の角度と、深度情報とに基づいて、３次元地図を生成する。これにより、３次元地図（すなわち、３次元空間）における壁の位置などが、表現される。算出部１６０は、３次元地図に基づいて、法線ベクトルａを算出する。算出部１６０は、３次元地図に基づいて、垂直方向のベクトルｂを算出する。算出部１６０は、法線ベクトルａとベクトルｂとを用いて、角度Ｒを算出する。具体的には、算出部１６０は、式（５）を用いて、角度Ｒを算出する。 The calculation unit 160 calculates the inclination of the wall using the position information of the terminal device 200, the angle of the terminal device 200, and the depth information. Specifically, the calculation unit 160 calculates the inclination of the wall using monocular Visual SLAM (Simultaneous Localization and Mapping). Calculation of wall inclination will be explained in detail. The calculation unit 160 generates a three-dimensional map based on the position information of the terminal device 200, the angle of the terminal device 200, and the depth information. As a result, the position of a wall on a three-dimensional map (that is, three-dimensional space) is expressed. The calculation unit 160 calculates the normal vector a based on the three-dimensional map. The calculation unit 160 calculates a vertical vector b based on the three-dimensional map. Calculation unit 160 calculates angle R using normal vector a and vector b. Specifically, the calculation unit 160 calculates the angle R using equation (5).
Figure JPOXMLDOC01-appb-M000005
Figure JPOXMLDOC01-appb-M000005
　これにより、角度Ｒが、算出される。算出部１６０は、角度Ｒを用いて、壁の傾き（すなわち、角度θ）を算出する。ここで、角度Ｒと角度θとを示す。 As a result, the angle R is calculated. The calculation unit 160 uses the angle R to calculate the inclination of the wall (that is, the angle θ). Here, angle R and angle θ are shown.
　図１１は、実施の形態３の角度の例を示す図である。図１１は、角度Ｒと角度θを示している。このように、壁の傾きが、算出される。
　算出部１６０は、式（２）を用いて、真の浸水の高さｑを算出する。 FIG. 11 is a diagram showing an example of the angle in the third embodiment. FIG. 11 shows the angle R and the angle θ. In this way, the slope of the wall is calculated.
The calculation unit 160 calculates the true flood height q using equation (2).
　次に、情報処理装置１００が実行する処理を、フローチャートを用いて説明する。
　図１２は、実施の形態３の情報処理装置が実行する処理の例を示すフローチャートである。図１２の処理は、ステップＳ１１ｂ，１７ｂ，１８ｂが実行される点が図７の処理と異なる。そのため、図１２では、ステップＳ１１ｂ，１７ｂ，１８ｂを説明する。そして、ステップＳ１１ｂ，１７ｂ，１８ｂ以外の処理の説明は、省略する。 Next, the processing executed by the information processing apparatus 100 will be explained using a flowchart.
FIG. 12 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the third embodiment. The process in FIG. 12 differs from the process in FIG. 7 in that steps S11b, 17b, and 18b are executed. Therefore, in FIG. 12, steps S11b, 17b, and 18b will be explained. A description of processes other than steps S11b, 17b, and 18b will be omitted.
　（ステップＳ１１ｂ）取得部１２０は、画像２１０を取得する。また、取得部１２０は、端末装置２００の位置情報と、端末装置２００の角度と、深度情報とを取得する。
　（ステップＳ１７ｂ）算出部１６０は、対象物４００の高さＨ、対象物４００の高さ、及び浸水線の高さｈに基づいて、浸水の高さｐを算出する。
　算出部１６０は、端末装置２００の位置情報と、端末装置２００の角度と、深度情報とを用いて、壁の傾きを算出する。算出部１６０は、壁の傾きと浸水の高さｐとを用いて、真の浸水の高さｑを算出する。 (Step S11b) The acquisition unit 120 acquires the image 210. The acquisition unit 120 also acquires the position information of the terminal device 200, the angle of the terminal device 200, and depth information.
(Step S17b) The calculation unit 160 calculates the flood height p based on the height H of the target object 400, the height of the target object 400, and the height h of the flood line.
The calculation unit 160 calculates the inclination of the wall using the position information of the terminal device 200, the angle of the terminal device 200, and the depth information. The calculation unit 160 calculates the true height q of flooding using the slope of the wall and the height p of flooding.
　（ステップＳ１８ｂ）保険金決定部１７０は、真の浸水の高さｑと、保険金決定情報とに基づいて、保険金を決定する。なお、当該保険金決定情報は、真の浸水の高さと保険金との対応関係を示す情報である。 (Step S18b) The insurance money determination unit 170 determines the insurance money based on the true flood height q and the insurance claim determination information. Note that the insurance claim determination information is information indicating the correspondence between the true height of flooding and insurance claims.
　実施の形態３によれば、情報処理装置１００は、壁が傾いている場合における浸水の高さを算出することができる。 According to the third embodiment, the information processing device 100 can calculate the height of flooding when the wall is inclined.
実施の形態４．
　次に、実施の形態４を説明する。実施の形態４では、実施の形態１～３と相違する事項を主に説明する。そして、実施の形態４では、実施の形態１～３と共通する事項の説明を省略する。 Embodiment 4.
Next, Embodiment 4 will be described. In Embodiment 4, matters that are different from Embodiments 1 to 3 will be mainly explained. In Embodiment 4, explanations of matters common to Embodiments 1 to 3 will be omitted.
　実施の形態１～３では、情報処理装置１００が主な処理を実行する場合を説明した。実施の形態４では、端末装置が、情報処理装置１００と同じ機能を有する場合を説明する。 In the first to third embodiments, the case where the information processing device 100 executes the main processing has been described. In the fourth embodiment, a case will be described in which the terminal device has the same functions as the information processing device 100.
　図１３は、実施の形態４の端末装置の機能を示すブロック図である。例えば、端末装置５００は、スマートフォン、又はタブレット端末である。端末装置５００は、情報処理装置とも言う。
　端末装置５００は、記憶部５１０、取得部５２０、対象物検出部５３０、浸水線高さ検出部５４０、対象物高さ検出部５５０、算出部５６０、保険金決定部５７０、出力部５８０、撮像部５９０、及び表示部５９１を有する。 FIG. 13 is a block diagram showing the functions of the terminal device according to the fourth embodiment. For example, the terminal device 500 is a smartphone or a tablet terminal. The terminal device 500 is also referred to as an information processing device.
The terminal device 500 includes a storage section 510, an acquisition section 520, an object detection section 530, a flood line height detection section 540, an object height detection section 550, a calculation section 560, an insurance money determination section 570, an output section 580, and an imaging section. 590 and a display section 591.
　記憶部５１０は、端末装置５００が有する揮発性記憶装置又は不揮発性記憶装置に確保した記憶領域として実現してもよい。
　取得部５２０、対象物検出部５３０、浸水線高さ検出部５４０、対象物高さ検出部５５０、算出部５６０、保険金決定部５７０、及び出力部５８０の一部又は全部は、端末装置５００が有する処理回路によって実現してもよい。また、取得部５２０、対象物検出部５３０、浸水線高さ検出部５４０、対象物高さ検出部５５０、算出部５６０、保険金決定部５７０、及び出力部５８０の一部又は全部は、端末装置５００が有するプロセッサが実行するプログラムのモジュールとして実現してもよい。 The storage unit 510 may be realized as a storage area secured in a volatile storage device or a nonvolatile storage device included in the terminal device 500.
A part or all of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 are connected to the terminal device 500. It may be realized by a processing circuit included in. In addition, some or all of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 are It may be realized as a module of a program executed by a processor included in the device 500.
　例えば、撮像部５９０は、端末装置５００のカメラによって実現される。例えば、表示部５９１は、端末装置５００のディスプレイによって実現される。 For example, the imaging unit 590 is realized by a camera of the terminal device 500. For example, the display unit 591 is realized by a display of the terminal device 500.
　まず、撮像部５９０の機能を説明する。撮像部５９０は、対象物４００を撮像する。 First, the functions of the imaging section 590 will be explained. The imaging unit 590 images the object 400.
　取得部５２０、対象物検出部５３０、浸水線高さ検出部５４０、対象物高さ検出部５５０、算出部５６０、保険金決定部５７０、及び出力部５８０の機能は、取得部１２０、対象物検出部１３０、浸水線高さ検出部１４０、対象物高さ検出部１５０、算出部１６０、保険金決定部１７０、及び出力部１８０の機能と同じである。例えば、取得部５２０は、対象物４００を撮像することにより得られた画像を取得する。このように、取得部５２０、対象物検出部５３０、浸水線高さ検出部５４０、対象物高さ検出部５５０、算出部５６０、保険金決定部５７０、及び出力部５８０の機能は、取得部１２０、対象物検出部１３０、浸水線高さ検出部１４０、対象物高さ検出部１５０、算出部１６０、保険金決定部１７０、及び出力部１８０の機能と同じである。そのため、取得部５２０、対象物検出部５３０、浸水線高さ検出部５４０、対象物高さ検出部５５０、算出部５６０、保険金決定部５７０、及び出力部５８０の機能の説明は、省略する。 The functions of the acquisition unit 520, object detection unit 530, flood line height detection unit 540, object height detection unit 550, calculation unit 560, insurance money determination unit 570, and output unit 580 are as follows: The functions are the same as those of the detection section 130, flood line height detection section 140, object height detection section 150, calculation section 160, insurance money determination section 170, and output section 180. For example, the acquisition unit 520 acquires an image obtained by capturing an image of the target object 400. In this way, the functions of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 are 120, the functions of the object detection section 130, the flood line height detection section 140, the object height detection section 150, the calculation section 160, the insurance money determination section 170, and the output section 180 are the same. Therefore, a description of the functions of the acquisition section 520, object detection section 530, flood line height detection section 540, object height detection section 550, calculation section 560, insurance money determination section 570, and output section 580 will be omitted. .
　また、出力部５８０は、保険金を示す情報を表示部５９１に出力する。表示部５９１は、保険金を表示する。これにより、ユーザは、取得できる保険金を知ることができる。また、端末装置５００は、ユーザの操作により、保険金を示す情報を保険会社３００に出力してもよい。 Additionally, the output unit 580 outputs information indicating the insurance money to the display unit 591. The display section 591 displays insurance money. This allows the user to know the amount of insurance money that can be obtained. Further, the terminal device 500 may output information indicating insurance money to the insurance company 300 through a user's operation.
　実施の形態４によれば、端末装置５００は、保険金をユーザに示すことができる。 According to the fourth embodiment, the terminal device 500 can show the insurance money to the user.
　以上に説明した各実施の形態における特徴は、互いに適宜組み合わせることができる。 The features of each embodiment described above can be combined with each other as appropriate.
　１００　情報処理装置、　１０１　プロセッサ、　１０２　揮発性記憶装置、　１０３　不揮発性記憶装置、　１１０　記憶部、　１１１　対象物高さテーブル、　１１２　高さ検出テーブル、　１２０　取得部、　１３０　対象物検出部、　１４０　浸水線高さ検出部、　１５０　対象物高さ検出部、　１６０　算出部、　１７０　保険金決定部、　１８０　出力部、　２００　端末装置、　２１０　画像、　３００　保険会社、　４００　対象物、　５００　端末装置、　５１０　記憶部、　５２０　取得部、　５３０　対象物検出部、　５４０　浸水線高さ検出部、　５５０　対象物高さ検出部、　５６０　算出部、　５７０　保険金決定部、　５８０　出力部、　５９０　撮像部、　５９１　表示部。 100 information processing device, 101 processor, 102 volatile storage device, 103 nonvolatile storage device, 110 storage unit, 111 object height table, 112 height detection table, 120 acquisition unit, 130 object detection unit, 140 Flood line Height detection unit, 150 Object height detection unit, 160 Calculation unit, 170 Insurance benefit determination unit, 180 Output unit, 200 Terminal device, 210 Image, 300 Insurance company, 400 Object, 500 Terminal device, 5 10 Memory section, 520 acquisition section, 530 object detection section, 540 flood line height detection section, 550 object height detection section, 560 calculation section, 570 insurance money determination section, 580 output section, 590 imaging section, 591 display section.

Claims (8)

  1. 　対象物を含み、かつ浸水状況を示す画像と、前記対象物の高さである実物対象物高さを示す情報とを取得する取得部と、
    　前記画像に基づいて、前記対象物の種類を検出し、前記画像に基づいて、前記画像における前記対象物のアスペクト比を検出する対象物検出部と、
    　前記画像に基づいて、前記画像が示す浸水線の高さを検出する浸水線高さ検出部と、
    　少なくとも前記種類と前記アスペクト比とを用いて、前記画像における前記対象物の高さである画像対象物高さを検出する対象物高さ検出部と、
    　前記実物対象物高さ、前記画像対象物高さ、及び前記浸水線の高さに基づいて、第１の浸水の高さを算出する算出部と、
    　を有する情報処理装置。     an acquisition unit that acquires an image including a target object and indicating a flooded situation, and information indicating a height of the actual target object, which is a height of the target object;
    an object detection unit that detects the type of the object based on the image and detects the aspect ratio of the object in the image based on the image;
    a flood line height detection unit that detects the height of a flood line indicated by the image based on the image;
    an object height detection unit that detects an image object height that is the height of the object in the image using at least the type and the aspect ratio;
    a calculation unit that calculates a first flood height based on the actual object height, the image object height, and the height of the flood line;
    An information processing device having:
  2. 　保険金決定部と、
    　出力部と、
    　をさらに有し、
    　前記取得部は、前記第１の浸水の高さと保険金との対応関係を示す保険金決定情報を取得し、
    　前記保険金決定部は、前記第１の浸水の高さと、前記保険金決定情報とに基づいて、保険金を決定し、
    　前記出力部は、前記保険金を示す情報を出力する、
    　請求項１に記載の情報処理装置。     Insurance claims determination department,
    an output section;
    It further has
    The acquisition unit acquires insurance claim determination information indicating a correspondence relationship between the first flood height and an insurance claim,
    The insurance claim determination unit determines an insurance claim based on the first flood height and the insurance claim determination information,
    the output unit outputs information indicating the insurance money;
    The information processing device according to claim 1.
  3. 　前記対象物検出部は、前記画像に基づいて、前記画像における前記対象物の上部の上面のアスペクト比を検出し、前記画像における前記対象物内の液体の液面のアスペクト比を検出し、
    　前記算出部は、前記上面のアスペクト比に基づいて、前記上面の撮像入射角度を算出し、前記液面のアスペクト比に基づいて、前記液面の撮像入射角度を算出し、前記上面の撮像入射角度と前記液面の撮像入射角度とに基づいて、壁の傾きを算出し、前記壁の傾きと前記第１の浸水の高さとを用いて、第２の浸水の高さを算出する、
    　請求項１に記載の情報処理装置。     The object detection unit detects an aspect ratio of an upper surface of the object in the image based on the image, and detects an aspect ratio of a liquid level of the liquid in the object in the image,
    The calculation unit calculates an imaging incidence angle of the upper surface based on an aspect ratio of the upper surface, calculates an imaging incidence angle of the liquid surface based on an aspect ratio of the liquid surface, and calculates an imaging incidence angle of the upper surface. Calculating the inclination of the wall based on the angle and the imaging incident angle of the liquid surface, and calculating the height of the second inundation water using the inclination of the wall and the height of the first inundation water.
    The information processing device according to claim 1.
  4. 　前記取得部は、前記画像を生成した端末装置の位置情報と、前記端末装置の角度と、前記対象物が撮像されたときに得られた深度を示す情報である深度情報とを取得し、
    　前記算出部は、前記端末装置の位置情報と、前記端末装置の角度と、前記深度情報とを用いて、壁の傾きを算出し、前記壁の傾きと前記第１の浸水の高さとを用いて、第２の浸水の高さを算出する、
    　請求項１に記載の情報処理装置。     The acquisition unit acquires position information of the terminal device that generated the image, an angle of the terminal device, and depth information that is information indicating a depth obtained when the target object was imaged,
    The calculation unit calculates the inclination of the wall using the position information of the terminal device, the angle of the terminal device, and the depth information, and uses the inclination of the wall and the height of the first flooding. to calculate the height of the second flood.
    The information processing device according to claim 1.
  5. 　保険金決定部と、
    　出力部と、
    　をさらに有し、
    　前記取得部は、前記第２の浸水の高さと保険金との対応関係を示す保険金決定情報を取得し、
    　前記保険金決定部は、前記第２の浸水の高さと、前記保険金決定情報とに基づいて、保険金を決定し、
    　前記出力部は、前記保険金を示す情報を出力する、
    　請求項３又は４に記載の情報処理装置。     Insurance claims determination department,
    an output section;
    It further has
    The acquisition unit acquires insurance claim determination information indicating a correspondence between the second flood height and an insurance claim,
    The insurance claim determination unit determines an insurance claim based on the second flood height and the insurance claim determination information,
    the output unit outputs information indicating the insurance money;
    The information processing device according to claim 3 or 4.
  6. 　前記対象物を撮像する撮像部と、
    　前記保険金を表示する表示部と、
    　をさらに有する、
    　請求項５に記載の情報処理装置。     an imaging unit that captures an image of the object;
    a display section that displays the insurance money;
    further having,
    The information processing device according to claim 5.
  7. 　情報処理装置が、
    　対象物を含み、かつ浸水状況を示す画像と、前記対象物の高さである実物対象物高さを示す情報とを取得し、前記画像に基づいて、前記対象物の種類を検出し、前記画像に基づいて、前記画像における前記対象物のアスペクト比を検出し、前記画像に基づいて、前記画像が示す浸水線の高さを検出し、少なくとも前記種類と前記アスペクト比とを用いて、前記画像における前記対象物の高さである画像対象物高さを検出し、
    　前記実物対象物高さ、前記画像対象物高さ、及び前記浸水線の高さに基づいて、第１の浸水の高さを算出する、
    　処理方法。     The information processing device
    Obtain an image that includes a target object and shows the flooding situation, and information indicating the height of the actual object, which is the height of the target object, detect the type of the target object based on the image, and detect the type of the target object based on the image. detecting the aspect ratio of the object in the image based on the image; detecting the height of the flood line indicated by the image based on the image; and using at least the type and the aspect ratio, detecting an image object height that is the height of the object in an image;
    calculating a first flood height based on the actual object height, the image object height, and the height of the flood line;
    Processing method.
  8. 　情報処理装置に、
    　対象物を含み、かつ浸水状況を示す画像と、前記対象物の高さである実物対象物高さを示す情報とを取得し、前記画像に基づいて、前記対象物の種類を検出し、前記画像に基づいて、前記画像における前記対象物のアスペクト比を検出し、前記画像に基づいて、前記画像が示す浸水線の高さを検出し、少なくとも前記種類と前記アスペクト比とを用いて、前記画像における前記対象物の高さである画像対象物高さを検出し、
    　前記実物対象物高さ、前記画像対象物高さ、及び前記浸水線の高さに基づいて、第１の浸水の高さを算出する、
    　処理を実行させる処理プログラム。
          In the information processing device,
    Obtain an image that includes a target object and shows the flooding situation, and information indicating the height of the actual object, which is the height of the target object, detect the type of the target object based on the image, and detect the type of the target object based on the image. detecting the aspect ratio of the object in the image based on the image; detecting the height of the flood line indicated by the image based on the image; and using at least the type and the aspect ratio, detecting an image object height that is the height of the object in an image;
    calculating a first flood height based on the actual object height, the image object height, and the height of the flood line;
    A processing program that executes processing.
PCT/JP2022/013463 2022-03-23 2022-03-23 Information processing device, processing method, and processing program WO2023181161A1 (en)

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Citations (4)

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JP2008057994A (en) * 2006-08-29 2008-03-13 Basic Engineering:Kk Water level observation system by image processing
JP2021081942A (en) * 2019-11-19 2021-05-27 三菱電機株式会社 Submergence detection device and submergence detection program
JP2021140335A (en) * 2020-03-03 2021-09-16 沖電気工業株式会社 Image processing device, image processing program, and image processing method
JP7026831B1 (en) * 2021-02-10 2022-02-28 三菱電機インフォメーションシステムズ株式会社 Inundation height measuring device, inundation height measurement method and inundation height measurement program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008057994A (en) * 2006-08-29 2008-03-13 Basic Engineering:Kk Water level observation system by image processing
JP2021081942A (en) * 2019-11-19 2021-05-27 三菱電機株式会社 Submergence detection device and submergence detection program
JP2021140335A (en) * 2020-03-03 2021-09-16 沖電気工業株式会社 Image processing device, image processing program, and image processing method
JP7026831B1 (en) * 2021-02-10 2022-02-28 三菱電機インフォメーションシステムズ株式会社 Inundation height measuring device, inundation height measurement method and inundation height measurement program

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