Information processing device, information processing method, and program

Abstract

An information processing device (1) provided with a control unit (13): acquires a thermal image obtained by imaging an object (30); displays the thermal image on a screen; specifies a position where the temperature is the highest in the object (30) from the thermal image; and superimposes a first mark indicating the position with the highest temperature on the thermal image, and displays the superimposed image on the screen.

Description

Information processing device, information processing method, and program

[0001] The present disclosure relates to an information processing device, an information processing method, and a program.

[0002] There are known technologies for determining tire damage. For example, Patent Literature 1 discloses a tire damage detection system that detects the size of a damaged portion of a tire based on the diameter of a rim wheel, based on image data of the tire mounted on the rim wheel.

[0003] Japanese Patent Application Laid-Open No. 2019-202729

[0004] For example, if a mining vehicle used at a mining site experiences a sudden tire failure, productivity is reduced due to the need to transport the vehicle and change the tire. Regular tire inspections by workers to prevent sudden failures are a cost burden. There is a demand for further improvements in the usefulness of technology that can detect abnormalities in various objects, not just tires, such as electrical machinery, precision machinery, and industrial machinery.

[0005] In view of the above circumstances, an object of the present disclosure is to provide an information processing device, an information processing method, and a program that can efficiently identify areas of an object that may be abnormal.

[0006] The gist of the present disclosure for solving the above problems is as follows.

[0007] (1) An information processing device having a control unit, wherein the control unit acquires a thermographic image of an object, displays the thermographic image on a screen, identifies the position of the maximum temperature of the object from the thermographic image, and superimposes a first mark indicating the position of the maximum temperature on the thermographic image and displays it on the screen.

[0008] (2) The control unit of the information processing device described in (1) displays a second mark indicating the measurement range of the temperature of the object superimposed on the thermal image on the screen, and identifies the position of the maximum temperature within the second mark.

[0009] (3) The information processing device according to (2), wherein the display position and size of the second mark are changeable.

[0010] (4) The information processing device according to any one of (1) to (3), wherein the control unit displays the maximum temperature value together with the first mark on the screen by superimposing the value on the thermo image.

[0011] (5) The information processing device according to any one of (1) to (4), wherein the control unit generates information indicating that the maximum temperature has exceeded a threshold value when the maximum temperature has exceeded a threshold value.

[0012] (6) The information processing device according to any one of (1) to (5), wherein the control unit estimates the depth of the damaged portion at the position of the maximum temperature based on the correspondence between the temperature of the object and the damage depth.

[0013] (7) An information processing device described in any of (1) to (6), wherein the thermal image is an RGB-IR image in which an image of the object photographed by a thermographic camera is superimposed on an image of the object photographed by an RGB camera.

[0014] (8) The information processing device described in (7), wherein the control unit stores an image of the object photographed by an RGB camera, an image of the object photographed by a thermographic camera, and the RGB-IR image.

[0015] (9) An information processing device described in any of (1) to (8), wherein the object is a tire, and the control unit stores an image in which the first mark is superimposed on the thermal image in association with information identifying the tire or a vehicle equipped with the tire.

[0016] (10) An information processing method in which an information processing device executes the steps of acquiring a thermographic image of an object, displaying the thermographic image on a screen, identifying a maximum temperature position from the thermographic image where the temperature of the object is the highest, and superimposing a first mark indicating the maximum temperature position on the thermographic image and displaying it on the screen.

[0017] (11) A program for causing a computer to function as the information processing device according to any one of (1) to (9).

[0018] According to the present disclosure, it is possible to efficiently identify areas of an object that may be abnormal.

[0019] FIG. 1 is a diagram illustrating an example of the configuration of an information processing system according to a first embodiment. FIG. 2 is a block diagram illustrating an example of the configuration of an information processing device according to a first embodiment. FIG. 3 is a diagram illustrating an example of an image of an object. FIG. 4 is a graph illustrating an example of the correspondence between the distance from the carcass ply of a tire to the tip of a damaged portion and the surface temperature of the damaged portion. FIG. 5 is a flowchart illustrating an example of the procedure of an information processing method according to a first embodiment. FIG. 6 is a diagram illustrating a first example of a superimposed image displayed on the screen of the information processing device according to the first embodiment. FIG. 7 is a diagram illustrating a second example of a superimposed image displayed on the screen of the information processing device according to the first embodiment. FIG. 8 is a diagram illustrating an example of the configuration of an information processing system according to a second embodiment.

[0020] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. However, it should be noted that the drawings are schematic and the ratios of dimensions may differ from those of the actual devices.

[0021] <First embodiment> Fig. 1 shows an example of the configuration of an information processing system according to the first embodiment. The information processing system 1 shown in Fig. 1 includes an information processing device 10 and a thermographic camera 20. The information processing system 1 is a system that captures an image of an object 30 using the thermographic camera 20 and automatically identifies areas of the object 30 that may be abnormal using the information processing device 10.

[0022] 1, the object 30 is a tire, but is not limited to this. The tire is not particularly limited, and may be an OR (Off The Road) tire mounted on a construction vehicle, a mining vehicle, etc., a truck / bus tire, an airplane tire, a passenger car tire, etc. The object 30 is not limited to a stationary object, but may be a moving object.

[0023] The information processing device 10 is, for example, a smartphone, a tablet, a PC (Personal Computer), etc. The information processing device 10 may have a built-in thermography camera 20.

[0024] The thermographic camera 20 may be an infrared thermographic camera that detects infrared radiation energy emitted from the object 30 and visualizes the temperature distribution. The thermographic camera 20 photographs the object 30 and generates a thermo image (thermography image) that captures at least a portion of the object 30.

[0025] Fig. 2 shows an example of the configuration of an information processing device according to an embodiment. The information processing device 10 shown in Fig. 2 includes an input unit 11, a camera I / F (interface) 12, a control unit 13, a storage unit 14, and an output unit 15. The information processing device 10 may further include a communication I / F such as a LAN (Local Area Network) I / F to enable communication with external devices.

[0026] The input unit 11 is, for example, a physical key, a capacitance key, a pointing device, a touch screen integrated with a display, or the like. The input unit 11 accepts an operation to input data used for the operation of the information processing device 10. The input unit 11 may be connected to the information processing device 10 as an external input device instead of being provided in the information processing device 10. As a connection interface, any interface compatible with standards such as USB (Universal Serial Bus), HDMI (High-Definition Multimedia Interface) (registered trademark), Bluetooth (registered trademark), etc. may be used.

[0027] The camera I / F 12 is an interface between the information processing device 10 and the thermographic camera 20. If the information processing device 10 has a built-in thermographic camera 20, the camera I / F 12 is unnecessary. If the information processing device 10 does not have a built-in thermographic camera 20, the information processing device 10 is connected to the thermographic camera 20 via the camera I / F 12.

[0028] The storage unit 14 includes one or more memories. The memories are, for example, semiconductor memories, magnetic memories, optical memories, etc. The semiconductor memories are, for example, random access memories (RAMs), read only memories (ROMs), flash memories, etc. The RAMs are, for example, static random access memories (SRAMs), dynamic random access memories (DRAMs), etc. The ROMs are, for example, electrically erasable programmable read only memories (EEPROMs). The flash memories are, for example, solid-state drives (SSDs). The magnetic memories are, for example, hard disk drives (HDDs). The storage unit 14 functions as, for example, a main storage device, an auxiliary storage device, a cache memory, etc.

[0029] FIG. 3 shows an example of an image of an object 30 (a tire in this example). While the image is actually a color image, it is shown here as a schematic. FIG. 3( a) shows an RGB image of the object 30 captured by an RGB camera (visible light camera), and FIG. 3( b) shows a thermographic image of the object 30 captured by the thermographic camera 20. As shown in FIG. 3( c), the thermographic image may be superimposed on the RGB image. While edge information of the object 30 is lost in the thermographic image, superimposing the thermographic image on the RGB image preserves the edge information of the object, making it possible to grasp the outline of the object, areas where there may be anomalies, and the like.

[0030] When a thermographic image is superimposed on an RGB image, the storage unit 14 stores an RGB image of the object 30 and a thermographic image of the object 30, and then stores an RGB-IR image in which the thermographic image is superimposed on the RGB image. The storage unit 14 may also store a superimposed image in which a mark, a maximum temperature value, etc., as described below, is superimposed on the RGB-IR image. Storing each image enables various image processing operations and enhances the versatility of the information processing device 10. Furthermore, when a large object 30 is photographed multiple times, each divided into areas, storing all the superimposed images allows the maximum temperature of the entire object 30 to be identified. In the following description, a "thermal image" may also refer to an "RGB-IR image" in which a thermographic image is superimposed on an RGB image.

[0031] Furthermore, when the object 30 is a tire, the storage unit 14 may store a thermographic image or a superimposed image (described later) in association with information identifying the tire or a vehicle equipped with the tire. This makes it possible to easily identify a tire that may have an abnormality or a vehicle equipped with a tire that may have an abnormality. Note that the tire may be provided with a two-dimensional code such as a QR (Quick Response) code (registered trademark) or an AR (Augmented Reality) marker as identification information.

[0032] The output unit 15 is, for example, an LCD (liquid crystal display), an organic EL (electro luminescent) display, a speaker, etc. The output unit 15 presents data created by the control unit 13 to the user. The output unit 15 may be connected to the information processing device 10 as an external output device instead of being provided in the information processing device 10. As a connection interface, any interface compatible with standards such as USB, HDMI, Bluetooth, etc. may be used.

[0033] The control unit 13 may be configured with dedicated hardware such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array), or may be configured with a processor, or may be configured to include both. The control unit 13 executes processes related to the operation of the information processing device 10 while controlling each part of the information processing device 10.

[0034] The control unit 13 shown in FIG. 1 includes a thermo-image acquisition unit 131, a maximum temperature position identification unit 132, a superposition processing unit 133, and a damage depth estimation unit 134.

[0035] The thermo image acquisition unit 131 acquires a thermo image of the object 30 from the storage unit 14. The thermo image acquisition unit 131 then displays the thermo image on the screen of the output unit 15.

[0036] The maximum temperature position identifying unit 132 detects the maximum temperature on the surface of the object 30 from the thermo image acquired by the thermo image acquiring unit 131, and identifies the maximum temperature position.

[0037] The superimposition processing unit 133 generates a mark (hereinafter referred to as a “first mark”) indicating the maximum temperature position identified by the maximum temperature position identifying unit 132, and generates a superimposed image by superimposing the first mark on the thermoimage acquired by the thermoimage acquiring unit 131. The superimposition processing unit 133 displays the superimposed image on the screen of the output unit 15.

[0038] A location of a heat-generating object 30 with a high surface temperature may indicate some kind of abnormality, such as a breakdown or damage. For example, if the object 30 is a tire, the temperature of the tire cavity rises as the vehicle travels, and the surface temperature of a damaged portion on the tire's outer surface becomes higher because the distance to the cavity (metal carcass ply) is shorter than in other portions. Therefore, by displaying the first mark on the screen, it is possible to efficiently identify a location of the object that may be abnormal.

[0039] The superimposition processing unit 133 may determine whether the maximum temperature detected by the maximum temperature position identifying unit 132 exceeds a threshold, and if the maximum temperature exceeds the threshold, may generate warning information indicating that the maximum temperature has exceeded the threshold. This makes it possible to warn the user when there is a high possibility of an abnormality. For example, if the maximum temperature exceeds the threshold, the superimposition processing unit 133 notifies the user that the maximum temperature has exceeded the threshold by changing the color of the first mark, superimposing a warning message, or the like. Note that the notification method is not limited to this, and the control unit 13 may also cause the output unit 15 to output a warning sound or warning audio, or vibrate the information processing device 10.

[0040] The superimposition processing unit 133 may also generate a superimposed image in which the maximum temperature value is superimposed on the thermographic image together with the first mark, thereby enabling the user to grasp the temperature of a location where there is a possibility of an abnormality.

[0041] The superimposition processing unit 133 may also generate a mark (hereinafter referred to as a "second mark") indicating the temperature measurement range (the range in which the maximum temperature position is to be identified) and generate a superimposed image by superimposing the second mark on the thermographic image acquired by the thermographic image acquisition unit 131. The size of the second mark may be determined in advance, and the display position of the second mark may be a position that does not include the edges of the image. The superimposition processing unit 133 may also identify the position of the object 30 using segmentation technology on an RGB image of the object 30, and limit the position and size of the second mark to within the range of the object 30. When the superimposition processing unit 133 superimposes the second mark on the thermographic image, the maximum temperature position identification unit 132 identifies the maximum temperature position within the range indicated by the second mark. This allows the user to understand the temperature measurement range.

[0042] The display position and size of the second mark may be freely changeable by the user by operating the input unit 11. This allows the user to identify any location on the object that may be abnormal, and to set the second mark in an appropriate position. For example, if a high-temperature object such as a heat dissipation device is present near the object 30 in the thermographic image, disturbances to the temperature measurement of the object 30 can be suppressed by moving the second mark to a position away from the high-temperature object.

[0043] The damage depth estimation unit 134 estimates the damage depth at the maximum temperature position indicated by the first mark on the object 30 as the maximum depth of the damaged portion based on the correspondence between the surface temperature of the object 30 and the damage depth. The damage depth estimation unit 134 outputs the estimated damage depth to the output unit 15. For example, information indicating the correspondence between the surface temperature of the object 30 and the damage depth is stored in advance in the storage unit 14, and the damage depth estimation unit 134 estimates the damage depth corresponding to the maximum temperature detected by the maximum temperature position identification unit 132 by referring to the information stored in the storage unit 14. Alternatively, the damage depth estimation unit 134 may estimate the damage depth by inputting the maximum temperature detected by the maximum temperature position identification unit 132 into a trained model that has machine-learned the correspondence between the surface temperature of the object 30 and the damage depth.

[0044] FIG. 4 is a graph showing an example of the correspondence relationship between the distance (horizontal axis) from the carcass ply of a tire to the tip (deepest part) of the damaged portion and the surface temperature of the damaged portion (vertical axis). When the object 30 is a tire, the damage depth estimation unit 134 may determine the distance from the carcass ply to the tip of the damaged portion by applying the maximum temperature detected by the maximum temperature position identification unit 132 to the correspondence relationship between the distance from the carcass ply to the tip of the damaged portion and the surface temperature of the damaged portion. The damage depth estimation unit 134 may then estimate the depth of the damaged portion by subtracting the determined distance from the distance from the tire surface to the carcass ply. The units of distance and depth may be, for example, [mm] or [cm]. The damage depth estimation unit 134 can determine the maximum depth of the damaged portion, thereby improving the estimation accuracy of abnormality determination.

[0045] Next, an information processing method according to an embodiment will be described with reference to a flowchart of FIG.

[0046] In step S101, the user operates the thermographic camera 20 to capture an image of the object 30, and the thermographic image acquisition unit 131 acquires the thermographic image. The output unit 15 displays the thermographic image on a screen.

[0047] In step S102, the maximum temperature position identifying unit 132 identifies the maximum temperature position, where the surface temperature of the object 30 is maximum, from the image within the temperature measurement range of the thermoimage. The processing of step S102 may be performed after receiving an instruction from the user.

[0048] In step S103, the superimposition processing unit 133 generates a superimposed image by superimposing on the thermoimage a first mark indicating the maximum temperature position, the maximum temperature value (i.e., the temperature value at the position indicated by the first mark), a second mark indicating the temperature measurement range, etc. The output unit 15 displays the superimposed image on a screen.

[0049] FIG. 6 is a diagram showing a first example of a superimposed image. In the superimposed image shown in FIG. 6, a first mark M1, a maximum temperature value T, and a second mark M2 are superimposed on a thermographic image (RGB-IR image). Other information may also be superimposed on the superimposed image. In the example shown in FIG. 6, the maximum (Max), minimum (Min), and average (Ave) values ​​of the temperature within the range indicated by the second mark M2 are displayed in the upper right corner of the screen. Note that the display manner, such as the shape and color, of the first mark M1 and the second mark M2 may be arbitrary.

[0050] Fig. 7 is a diagram showing a second example of a superimposed image, showing how a user has operated the display screen of Fig. 6 to change the position and size of the second mark M2 so that it includes the damaged portion D. To identify the maximum temperature and maximum temperature position within the second mark M2, the maximum temperature position identifying unit 132 also updates the position of M1 and the value of T compared to Fig. 6. Since the temperature within the damaged portion D is the maximum temperature in Fig. 7, the value of T shown in Fig. 7 is considered to be greater than the value of T shown in Fig. 6.

[0051] In step S104, the damage depth estimation unit 134 estimates the damage depth at the maximum temperature position of the object 30 as the maximum depth of the damaged portion.

[0052] In this embodiment, the maximum temperature position of the object 30 is identified from a thermographic image of the object 30, and the first mark M1 is superimposed on the thermographic image and displayed on the screen. Therefore, locations of the object 30 where there may be an abnormality can be efficiently identified in real time. Furthermore, by using the thermographic image, abnormalities in the object 30 can be accurately detected even when the outer surface of the object 30 is dirty with mud or when the object 30 is photographed at night.

[0053] Second Embodiment Next, an information processing system according to a second embodiment will be described. Fig. 8 shows an example configuration of an information processing system according to the second embodiment. The information processing system 2 shown in Fig. 8 includes an information processing device 10, a thermographic camera 20, a server 40, and a measuring device 50. The information processing device 10, the server 40, and the measuring device 50 are each communicably connected to, for example, a network 60. For ease of explanation, Fig. 8 shows only one each of the information processing device 10, the thermographic camera 20, the server 40, and the measuring device 50, but the number of each device included in the information processing system 2 is not limited to one.

[0054] As an example, the information processing device 10 functions as a terminal device for the server 40. The information processing device 10 is used by a user who wishes to estimate the state of a target location of the object 30 using the server 40. The processing of the information processing device 10 is the same as in the first embodiment, and therefore a detailed description thereof will be omitted. If the information processing device 10 has the functions of the server 40 described below, the information processing system 2 does not need to include the server 40.

[0055] In this embodiment, the server 40 is described as being configured with one computer, but the server 40 may be configured with multiple computers, such as a cloud computing system. In the present disclosure, the server 40 functions as, for example, a tire malfunction determination device.

[0056] The measurement device 50 is configured with a computer including one or more sensors. The sensors may be, but are not limited to, a digital tachograph, a tire pressure monitoring system (TPMS), an electronic control unit (ECU), or a car navigation device. The measurement device 50 acquires time-series data related to tires mounted on a vehicle and transmits the data to the server 40. Therefore, the measurement device 50 may be installed on the vehicle or tires.

[0057] The time-series data related to the tires mounted on a vehicle includes tire measurement values ​​and the dates and times of the measurements. For example, if the measurement device 50 includes a TPMS installed on the tire, the tire measurement values ​​may include tire condition information such as tire internal pressure (air pressure), tire cavity temperature, and thermal history. The tire thermal history is the history of heat applied to the tire as the tire is used. The tire thermal history is used to evaluate how much energy has been applied to the tire since the tire was first used. Generally, the greater the thermal history, the more severe the tire's deterioration. The thermal history can be calculated, for example, by applying the tire cavity temperature to the Arrhenius equation. Furthermore, if the measurement device 50 includes a digital tachograph installed on the vehicle, the tire measurement values ​​may include vehicle driving information such as the vehicle's driving time, driving distance, speed, acceleration, and tire rotation count.

[0058] The network 60 is any communication network that allows communication between the information processing device 10, the server 40, and the measurement device 50. The network 60 in one embodiment may be, for example, the Internet, a mobile communication network, a LAN, or a combination thereof.

[0059] The information processing system 2 may function as a tire malfunction determination system centered around the server 40 as a tire malfunction determination device. In this case, the information processing system 2 is used to determine malfunctions in one or more tires. In the information processing system 2, the server 40 acquires a thermographic image from the information processing device 10. The server 40 acquires the surface temperature of at least one damaged portion of the tire based on the thermographic image.

[0060] The server 40 acquires time-series data of the tire cavity temperature from the measuring device 50. The server 40 estimates the depth of at least one damaged portion of the tire based on the surface temperature of at least one damaged portion of the tire in the thermal image and the cavity temperature at the time the thermal image was acquired. In this way, the information processing system 2 can more accurately estimate the depth of the damaged portion by using the tire cavity temperature in addition to the surface temperature of at least one damaged portion of the tire in the thermal image.

[0061] The server 40 may transmit a request to display the tire damage information to the information processing device 10. In such a case, the information processing device 10 can display the tire damage information via the display of the output unit 15 or the like based on the request received from the server 40.

[0062] The tire damage information is not limited to the depth of the damaged portion of the tire, but may include any information such as the location and number of damaged portions, warning messages, etc. As a result, a user of the information processing system 2 as a tire failure determination system can easily grasp the depth of the damaged portion on the outer surface of the tire, and can plan tire inspection, repair, replacement, etc. before the tire fails.

[0063] When tires are replaced, they may be replaced with different tires depending on the tire damage information. For example, if the surface temperature of the damaged portion of a tire is higher than the temperature that the tire can withstand, the tire may be replaced with a different type of tire that is more heat resistant. Alternatively, if the number of damaged portions of a tire is greater than a predetermined number, the tire may be replaced with a different type of tire that is less susceptible to damaged portions. In this way, users of the tire failure determination system can select tires that are suitable for use at mining sites based on the tire damage information.

[0064] The server 40 can motivate the user to inspect more thoroughly those damaged portions of the tire in the thermal image that have particularly high surface temperatures. Conversely, the server 40 can also prompt the user to simplify or skip inspections of those damaged portions of the tire in the thermal image that have low surface temperatures. Therefore, the information processing system 2 can improve the usefulness of the technology for determining tire faults.

[0065] <Program> A computer capable of executing program instructions may be used to function as the above-described information processing device 10. The program instructions may be program code, code segments, etc. for performing the necessary tasks.

[0066] The control unit 13 is a processor such as a CPU (Central Processing Unit), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), DSP (Digital Signal Processor), or SoC (System on a Chip), and may be configured with multiple processors of the same or different types. The processor performs the above-mentioned processing by reading and executing a program from the storage unit 14. Note that at least a part of the processing content may be realized by hardware.

[0067] The program may be recorded on a computer-readable recording medium. Using such a recording medium, the program can be installed on a computer. Here, the recording medium on which the program is recorded may be a non-transitory recording medium. The non-transitory recording medium is not particularly limited, and may be, for example, a CD-ROM, a DVD-ROM, or a USB (Universal Serial Bus) memory. Furthermore, the program may be downloaded from an external device via a network.

[0068] Although the above-described embodiments have been described as typical examples, it will be apparent to those skilled in the art that many modifications and substitutions are possible within the spirit and scope of the present disclosure. Therefore, the present disclosure should not be interpreted as being limited by the above-described embodiments, and various modifications and alterations are possible without departing from the scope of the claims. For example, multiple building blocks shown in the block diagrams of the embodiments may be integrated, or a single building block may be divided. Furthermore, multiple steps shown in the flowcharts of the embodiments may be integrated into one, or a single step may be divided. Contributing to the United Nations-led Sustainable Development Goals (SDGs)

[0069] The SDGs have been proposed to realize a sustainable society. It is believed that an embodiment of the present disclosure can be a technology that contributes to "No. 9 - Build infrastructure for industry and technological innovation," "No. 12 - Responsible consumption and production," and "No. 13 - Take concrete measures to combat climate change."

[0070] REFERENCE SIGNS LIST 1, 2 Information processing system 10 Information processing device 11 Input unit 12 Camera I / F 13 Control unit 14 Storage unit 15 Output unit 20 Thermographic camera 30 Object 40 Server 50 Measuring device 60 Network 131 Thermographic image acquisition unit 132 Maximum temperature position identification unit 133 Superposition processing unit 134 Damage depth estimation unit

Claims

1. An information processing device having a control unit, wherein the control unit acquires a thermographic image of an object, displays the thermographic image on a screen, identifies the position of the maximum temperature of the object from the thermographic image, and displays a first mark indicating the position of the maximum temperature on the screen, superimposed on the thermographic image.

2. The information processing device according to claim 1, wherein the control unit displays a second mark indicating the measurement range of the temperature of the object on the screen by superimposing it on the thermal image, and identifies the position of the maximum temperature within the second mark.

3. The information processing device according to claim 2, wherein the display position and size of the second mark are changeable.

4. The information processing device according to claim 1, wherein the control unit displays the maximum temperature value together with the first mark on the screen in a superimposed manner on the thermographic image.

5. The information processing device according to claim 1, wherein the control unit generates information indicating that the maximum temperature has exceeded a threshold value when the maximum temperature has exceeded a threshold value.

6. The information processing device according to claim 1, wherein the control unit estimates the depth of the damaged portion at the position of the maximum temperature based on the correspondence relationship between the temperature of the object and the depth of the damage.

7. The information processing device according to claim 1, wherein the thermographic image is an RGB-IR image in which an image of the object photographed by a thermographic camera is superimposed on an image of the object photographed by an RGB camera.

8. The information processing device according to claim 7, wherein the control unit stores an image of the object photographed by an RGB camera, an image of the object photographed by a thermographic camera, and the RGB-IR image.

9. The information processing device described in claim 1, wherein the object is a tire, and the control unit stores an image in which the first mark is superimposed on the thermal image in association with information identifying the tire or a vehicle equipped with the tire.

10. An information processing method in which an information processing device executes the steps of: acquiring a thermographic image of an object; displaying the thermographic image on a screen; identifying a maximum temperature position from the thermographic image where the temperature of the object is maximum; and superimposing a first mark indicating the maximum temperature position on the thermographic image and displaying it on the screen.

11. A program for causing a computer to function as the information processing device according to any one of claims 1 to 9.

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