Rental car service management method, management device, and management program
The car rental service management system addresses the challenge of identifying defects in rented vehicles by allowing owners to reproduce image data of the vehicle's surroundings and interior after the rental, respecting user privacy and enabling effective defect analysis.
Patent Information
- Application Number
- JP2022095191
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-06-13
- Publication Date
- 2025-04-08
- Estimated Expiration
- 2042-06-13
AI Technical Summary
In car rental services, vehicle owners face challenges in identifying the cause of defects such as scratches or interior dirt on vehicles after they have been rented out, as monitoring the surroundings and interior using on-vehicle cameras raises privacy concerns for users.
A method and system for managing a rental car service that involves acquiring image data of a vehicle's surroundings and interior using a camera mounted on the vehicle, and allowing the vehicle owner to reproduce this image data upon request after the rental is completed, enabling the owner to infer or identify the cause of defects.
This solution allows vehicle owners to reproduce image data of their rented vehicles, enabling them to identify the cause of defects such as scratches or interior dirt, while respecting the privacy of the users by not allowing unrestricted access to the image data during the rental period.
Smart Images

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Abstract
Description
[Technical field]
[0001] The present disclosure relates to a method, an apparatus, and a program for managing a rental car service that rents out vehicles in response to rental requests from users. [Background technology]
[0002] Japanese Patent Application Laid-Open Publication No. 2006-182234 discloses a camera system for a vehicle. This conventional camera system changes the shooting range of a camera provided on a door mirror of the vehicle depending on the position of the door mirror. Specifically, when the door mirror is in the normal use position, the shooting range is set to the surroundings of the vehicle, and when the door mirror is in the retracted position, the shooting range is set to the interior of the vehicle. The conventional camera system makes it possible to monitor the surroundings and interior of the vehicle with a single camera. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2006-182234 A Summary of the Invention [Problem to be solved by the invention]
[0004] Monitoring the surroundings of a vehicle using an on-board camera is important not only from the viewpoint of ensuring the safety of the vehicle while it is moving, but also from the viewpoint of preventing vandalism such as damaging the vehicle body while it is parked. Monitoring the interior of the vehicle using an on-board camera is also important from the viewpoint of preventing crimes such as theft of valuables and various devices left inside the vehicle while it is parked. In addition, it is also important from the viewpoint of early detection of abnormal conditions of the vehicle occupants.
[0005] Consider a rental car service that rents out vehicles in response to rental requests from users. In this case, it is assumed that the owner of the vehicle would like to check for various defects that occur while the vehicle is rented to the user. However, monitoring the surroundings and interior of the vehicle using an on-board camera while the vehicle is being rented out is not appropriate from the viewpoint of protecting the privacy of the user. However, for example, when scratches on the body of the vehicle or stains on the interior of the vehicle that were not there before the rental are found after the rental, it is disadvantageous to the owner if they are unable to guess or identify the cause.
[0006] One objective of the present disclosure is to provide a technology that enables a vehicle owner to estimate or identify the cause of various malfunctions that occur while a vehicle is rented to a user in a rental car service. [Means for solving the problem]
[0007] A first aspect of the present disclosure is a method for managing a rental car service in which a vehicle is rented out in response to a rental request from a user, and has the following features. The method comprises: acquiring image data of at least one of the surroundings and the interior of the vehicle using a camera mounted on the vehicle; a step of processing the at least one image data acquired during the lending of the vehicle to the user so as to be reproducible on the terminal of the owner when a confirmation request for the at least one image data is received from a terminal of the owner of the vehicle after the lending of the vehicle to the user is completed; Includes.
[0008] A second aspect of the present disclosure is an apparatus for managing a rental car service that rents out a vehicle in response to a rental request from a user, and has the following features. The device includes a processor and a memory, the memory storing image data of at least one of the surroundings and the interior of the vehicle captured using a camera mounted on the vehicle. The processor is configured to process, when a request to confirm at least one of the image data is received from the vehicle owner's terminal after the loan of the vehicle to the user has ended, the at least one of the image data acquired during the loan of the vehicle to the user so that it can be played back on the owner's terminal.
[0009] A third aspect of the present disclosure is a program for managing a rental car service that rents out vehicles in response to rental requests from users, and has the following features. The program is A process of acquiring image data of at least one of the surroundings and the interior of the vehicle using a camera mounted on the vehicle; When a request for confirmation of the at least one image data is received from a terminal of an owner of the vehicle after the rental of the vehicle to the user is completed, a process of making the at least one image data acquired during the rental of the vehicle to the user reproducible on the terminal of the owner; to be executed by the computer. Effect of the Invention
[0010] According to the present disclosure, in response to a confirmation request from a vehicle owner, image data of at least one of the surroundings and interior of the vehicle acquired while the vehicle is being lent to a user can be played back on the vehicle owner's terminal. This allows the vehicle owner to guess or identify the cause of various malfunctions that occur while the vehicle is being lent to a user. [Brief description of the drawings]
[0011] [Figure 1] FIG. 1 is a diagram illustrating an overview of a rental car service. [Diagram 2] FIG. 1 is a block diagram illustrating an example of the configuration of a rental car service system. [Diagram 3] 4 is a flowchart illustrating a flow of processing that is particularly related to the embodiment among processing performed by a terminal (processor) of a vehicle. [Figure 4]11 is a flowchart illustrating a flow of processing that is particularly related to the embodiment among the processing performed by the management server (processor). DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0012] Hereinafter, a management method, a management device, and a management program for a rental car service according to an embodiment of the present disclosure will be described with reference to the drawings. In each drawing, the same or corresponding parts are denoted by the same reference numerals, and the description thereof will be simplified or omitted.
[0013] 1. Overview of the embodiment 1-1.Rental car service FIG. 1 is a diagram for explaining an overview of a rental car service. The rental car service is a service in which a vehicle VH of an owner OW, who is an individual or a corporation, is rented out to a user US who wishes to use the vehicle temporarily. If the usage conditions desired by the user US match the rental conditions desired by the owner OW, the vehicle VH of the owner OW is rented out. Examples of the usage conditions include the day and time period when the user US wishes to temporarily use the vehicle VH, the positions at which the use of the vehicle VH starts and ends, the specifications of the vehicle VH that the user wishes to use (e.g., vehicle size, passenger capacity, maximum load capacity), and the main use of the vehicle VH during use. Examples of the rental conditions include the day and time period when the owner OW can rent out the vehicle VH, and the main use of the vehicle VH during rental.
[0014] The management server 1 shown in FIG. 1 manages a rental car service. An example of the management of the rental car service is matching a user US with an owner OW (vehicle VH). The management of the rental car service also includes management of data on the user US, the owner OW, and the vehicle VH. To perform such management, the management server 1 communicates with a terminal 2 of the vehicle VH, a terminal 3 of the owner OW, and a terminal 4 of the user US, respectively, via a network 5. Hereinafter, for ease of explanation, the terminal 2 of the vehicle VH will also be referred to as the "vehicle terminal 2," the terminal 3 of the owner OW will also be referred to as the "owner terminal 3," and the terminal 4 of the user US will also be referred to as the "user terminal 4."
[0015] The management of the rental car service also includes the management of image data acquired by a camera of the vehicle VH while it is rented to the user US. Examples of cameras include a camera that captures the surroundings (front, sides, and rear) of the vehicle VH and a camera that captures the interior of the vehicle VH. Hereinafter, for ease of explanation, image data acquired by a camera that captures the surroundings of the vehicle VH is also referred to as "ambient image data IMS." Furthermore, image data acquired by a camera that captures the interior of the vehicle VH is also referred to as "interior image data IMR." The ambient image data IMS and the interior image data IMR are typically video data.
[0016] The surrounding image data IMS and the interior image data IMR are acquired not only while the vehicle VH is in operation but also while the vehicle VH is not in operation. These image data are also recorded in a predetermined storage device possessed by the vehicle VH. However, these image data acquired while the vehicle VH is lent to the user US are recorded so that the owner OW cannot freely view them, in order to protect the privacy of the user US. These image data are also transmitted to the management server 1 via the network 5 and recorded in a predetermined storage device possessed by the management server 1. It is preferable that these image data recorded in the storage device possessed by the vehicle VH be deleted from there after being transmitted to the management server 1.
[0017] 1-2. Features of the embodiment In an embodiment, when the management server 1 accepts a rental request from a user US (user terminal 4), a vehicle VH whose usage conditions desired by the user US match the rental conditions desired by the owner OW is selected. Data on the selected vehicle VH is transmitted from the management server 1 to the user terminal 4. When starting to use the vehicle VH, the user US authenticates with the vehicle VH, for example, using short-range communication. This allows the user US to use the vehicle VH. When ending use of the vehicle VH, the user US also authenticates with the vehicle VH.
[0018] While authentication of the user US by the vehicle VH is valid, i.e., while the user US is using the vehicle VH (i.e., while the vehicle VH is rented out), surrounding image data IMS and interior image data IMR are acquired. These image data acquired while the user US is using the vehicle VH are transmitted from the vehicle VH (vehicle terminal 2) to the management server 1. The image data is transmitted from the vehicle VH to the management server 1, for example, when communication conditions are satisfied. The image data may be transmitted continuously or periodically.
[0019] The surrounding image data IMS and interior image data IMR received by the management server 1 are stored in a storage device of the management server 1 for a predetermined period of time after the user US uses the vehicle VH (i.e., after the vehicle VH is rented out). When the management server 1 receives a confirmation request from the owner OW (owner terminal 3) for at least one of these image data, the management server 1 processes the image data that is the subject of the confirmation request and that is stored in the storage device of the management server 1 so that it can be played back on the owner terminal 3. Hereinafter, for ease of explanation, the image data that is the subject of the confirmation request is also referred to as "confirmation target data IMC."
[0020] An example of the process for making the confirmation target data IMC reproducible in the owner terminal 3 is a process for transmitting the confirmation target data IMC to the owner terminal 3. By reproducing the transmitted confirmation target data IMC in the owner terminal 3, the owner OW can confirm the confirmation target data IMC. Another example is a process for streaming in which the image data is reproduced in the owner terminal 3 at the same time as it is downloaded. According to the process for streaming, the confirmation target data IMC is not recorded in an accessible manner in a temporary folder of the owner terminal 3. Therefore, it is possible to respond to a confirmation request from the owner OW (or a representative of the owner OW) while protecting the privacy of the user US.
[0021] A confirmation request from the owner OW (or an agent of the owner OW) may mean that the owner OW (or an agent) has found scratches on the vehicle body or dirt inside the vehicle VH after lending it out that was not there before lending it out and has made an inquiry about this to the management server 1. In this regard, according to the embodiment, the confirmation target data IMC can be reproduced on the owner terminal 3, so that the owner OW (or an agent) who finds scratches on the vehicle body or dirt inside the vehicle can guess or identify the cause.
[0022] In the embodiment, it is preferable that the management server 1 performs a recognition process of the target object included in the image data before processing the confirmation target data IMC by the owner terminal 3 so that the confirmation target data IMC can be reproduced.
[0023] When the confirmation target data IMC is the surrounding image data IMS, it is desirable to perform the following process, for example. In the recognition process for the surrounding image data IMS, it is desirable to determine whether or not an abnormal behavior pattern of a dynamic object (e.g., a person, a bicycle, a car, a flying object) approaching the vehicle VH is recognized. Then, when an abnormal behavior pattern of the dynamic object is recognized, it is desirable to add landmark data to the surrounding image data IMS including this dynamic object. Examples of abnormal behavior patterns of dynamic objects include contact of the dynamic object with the vehicle VH, the behavior of a person circling around the vehicle VH, and the behavior of a person repeatedly looking into the interior of the vehicle VH.
[0024] When the confirmation target data IMC is interior image data IMR, it is desirable to perform, for example, the following processing. In the recognition processing on the interior image data IMR, it is desirable to determine whether or not an abnormal behavior pattern of a dynamic object (e.g., a person, an animal) in the room or the movement of a static object (e.g., luggage) in the room is recognized. Then, when an abnormal behavior pattern of a dynamic object or the movement of a static object is recognized, it is desirable to add landmark data to the interior image data IMR including the dynamic object or the static object. An example of an abnormal behavior pattern of a dynamic object is an occupant's action such as strongly pushing or hitting an operating device of the vehicle VH.
[0025] When the landmark data is added to the confirmation target data IMC, it is desirable for the management server 1 to process this landmark data so that it can be recognized on the owner terminal 3 when playing back the confirmation target data IMC. An example of processing the landmark data so that it can be recognized is the process of superimposing an image showing a landmark on image data in the above-mentioned streaming process. By processing the landmark data so that it can be recognized on the owner terminal 3, it is possible to shorten the time required for the owner OW to confirm the image data. It is also possible to help the owner OW guess or identify the cause of scratches on the vehicle body or dirt on the interior.
[0026] 2. System configuration example Fig. 2 is a block diagram for explaining a configuration example of a system for a rental car service. The configuration example shown in Fig. 2 includes a management server 1, a vehicle terminal 2, an owner terminal 3, and a user terminal 4. As described in the explanation of Fig. 1, the management server 1 communicates with each of the vehicle terminal 2, the owner terminal 3, and the user terminal 4.
[0027] 2, the management server 1 includes a data processing device 11, an owner DB (database) 12, a user DB 13, and a log DB 14. These databases and the data processing device 11 are connected via a predetermined network.
[0028] The data processing device 11 includes at least one processor 15 and at least one memory 16. The processor 15 includes a CPU (Central Processing Unit). The memory 16 is a volatile memory such as a DDR memory, and expands various programs used by the processor 15 and temporarily stores various data. The various programs used by the processor 15 include a management program according to the embodiment. The various data used by the processor 15 includes data stored in a database such as an owner DB 12.
[0029] The owner DB12 stores data of the owner OW who provides the vehicle VH to the rental car service (hereinafter also referred to as "owner data OWN"). An example of the owner data OWN is identification data. The identification data is data for identifying the owner OW. The identification data is registered by the owner OW, for example, when registering the vehicle VH with the rental car service. Examples of the identification data include general data such as the name, age, gender, address, and contact information of the owner OW. The identification data also includes identification data of the vehicle VH owned by the owner OW (for example, vehicle registration number, vehicle identification number).
[0030] The owner data OWN includes, for example, rental condition data for the vehicle VH. Examples of the rental conditions include the days and time periods during which the owner OW can rent out the vehicle VH, and the main use of the rented vehicle VH. The rental conditions may include additional conditions desired by the owner OW (e.g., no smoking indoors, no pets).
[0031] The user DB13 stores data of users US who wish to temporarily use a vehicle VH (hereinafter also referred to as "user data USR"). An example of the user data USR is identification data. The identification data is data for identifying the user US. The identification data is registered by the user US, for example, when using a rental car service. Examples of the identification data are general data such as the name, age, gender, address, and contact information of the user US. The identification data also includes data on the category of driving qualifications held by the owner OW (for example, large, medium, semi-medium, and normal).
[0032] The user DB13 exemplifies usage condition data for the vehicle VH. Examples of the usage conditions include the day and time period when the user US desires to temporarily use the vehicle VH, the locations where the use of the vehicle VH will start and end, the specifications of the vehicle VH that the user desires to use, and the main use of the vehicle VH during use. The usage conditions may include other conditions desired by the user US (e.g., smoking indoors, carrying pets).
[0033] The log DB14 is an example of a predetermined storage device possessed by the management server 1. The log DB14 stores log data LOG recorded during the rental of the vehicle VH. The log data LOG is stored in a form corresponding to the identification data of the vehicle VH. The log data LOG includes surrounding image data IMS and interior image data IMR acquired during the use of the vehicle VH by the user US. The log data LOG may be stored in association with the identification data of the user US who used the vehicle VH, in addition to the identification data of the vehicle VH.
[0034] The log data LOG may include data other than the ambient image data IMS and the interior image data IMR. Examples of data other than image data include ambient sound data and interior sound data acquired while the user US is using the vehicle VH. The ambient sound data is sound data acquired by a microphone that records ambient sounds of the vehicle VH. The interior sound data is sound data acquired by a microphone that records interior sounds of the vehicle VH. It is expected that these data will be useful for the owner OW who finds scratches on the vehicle body or dirt in the interior to guess or identify the cause.
[0035] The vehicle terminal 2 is a terminal mounted on the vehicle VH. The vehicle terminal 2 includes at least one processor and at least one memory. The basic configuration of the vehicle terminal 2 is the same as that of the data processing device 11. In the example shown in FIG. 2, storage devices 21 and 22 are connected to the vehicle terminal 2. The storage devices 21 and 22 are devices for recording surrounding image data IMS and interior image data IMR. The storage devices 21 and 22 are examples of predetermined storage devices possessed by the vehicle VH. The storage device 21 stores, for example, these image data recorded while the vehicle VH is lent out. The storage device 22 stores these image data recorded while the vehicle VH is not lent out (for example, while the owner OW is using the vehicle VH).
[0036] When the ambient sound data and the indoor sound data are acquired, these sound data may be recorded in the storage devices 21 and 22. In this case, for example, the sound data recorded while the vehicle VH is being rented is stored in the storage device 21. The sound data recorded while the vehicle VH is not being rented is stored in the storage device 22.
[0037] The owner terminal 3 is a terminal through which the owner OW communicates with the management server 1. The user terminal 4 is a terminal through which the user US communicates with the management server 1. The owner terminal 3 and the user terminal 4 are, for example, portable terminals such as tablets and smartphones. The basic configurations of the owner terminal 3 and the user terminal 4 are the same as that of the data processing device 11.
[0038] 3. Data processing example 3-1. Example of processing on vehicle terminal Fig. 3 is a flowchart illustrating the flow of processing particularly related to the embodiment among the processing performed by the processor of the vehicle terminal 2. The flowchart shown in Fig. 3 is executed repeatedly at a predetermined control period, for example.
[0039] 3, first, it is determined whether or not an ignition switch (IG) is in an activated state (step S11). The ignition switch is a switch for activating a power supply circuit of the vehicle VH, and is operated by a passenger of the vehicle VH (e.g., the owner OW) or a user US. If the vehicle VH is configured to be operable remotely, the ignition switch may be remotely operated by an operator of the vehicle VH.
[0040] If the determination result of step S11 is positive, it is determined whether the vehicle VH is being rented out or not (step S12). Whether the vehicle VH is being rented out or not can be determined, for example, based on authentication performed when the user US starts using the vehicle VH or when the user US ends using the vehicle VH. In another example, whether the vehicle VH is being rented out or not is determined based on data on the date and time period when the user US used the vehicle VH. Note that in this other example, it is assumed that the vehicle terminal 2 has received the data on the date and time period when the user US used the vehicle VH from the management server 1 in advance.
[0041] If the determination result of step S12 is negative, the surrounding image data IMS and the interior image data IMR are stored in the storage device 22 (step S13). If the surrounding sound data and the interior sound data are acquired, the storage device 22 may store these sound data recorded while the vehicle VH was not rented out. If the determination result of step S12 is positive, the surrounding image data IMS and the interior image data IMR are stored in the storage device 21 (step S14). If the surrounding sound data and the interior sound data are acquired, the storage device 21 may store these sound data recorded while the vehicle VH was rented out.
[0042] Following the process of step S14, it is determined whether or not the communication conditions are satisfied (step S15). An example of the communication conditions is that the communication level of the vehicle terminal 2 is equal to or higher than a threshold. The communication level can be calculated based on, for example, the data reception speed from a base station on the network 5 to which the vehicle terminal 2 is currently connected, the data reception delay time, and the fluctuation (jitter) of the reception delay time. The process of step S15 is repeated until a positive determination result is obtained.
[0043] If the determination result in step S15 is positive, the ambient image data IMS and the indoor image data IMR stored in the storage device 21 are transmitted to the management server 1 (step S16). If the ambient sound data and the indoor sound data are stored in the storage device 21, these sound data may be transmitted to the management server 1.
[0044] 3-2. Example of processing on the management server Fig. 4 is a flowchart for explaining the flow of processing particularly related to the embodiment among the processing performed by the processor of the management server 1. The flowchart shown in Fig. 4 is executed repeatedly at a predetermined control period, for example.
[0045] In the routine shown in Fig. 4, first, it is determined whether or not a confirmation request has been received from the owner terminal 3 (step S21). The confirmation request includes, for example, identification data of the owner OW, data of the day and time period the owner OW desires to confirm, and the type of confirmation target data IMC (i.e., at least one of the image data of the surrounding image data IMS and the interior image data IMR). The type of confirmation target data IMC may include detailed data such as the position of the vehicle body that needs to be confirmed (for example, the front, the side, the rear) and the position of the interior that needs to be confirmed (for example, the driver's seat, the passenger's seat other than the driver's seat).
[0046] If the determination result of step S21 is positive, a recognition process is performed on the confirmation target data IMC (step S22). Note that the process of step S22 may be skipped and the process of step S23 may be performed. The target of the recognition process in step S22 is the confirmation target data IMC included in the confirmation request acquired in the process of step S21. In the recognition process, for example, a machine learning model is used to recognize a target included in the confirmation target data IMC. Note that a known method can be applied to recognize a target using a machine learning model.
[0047] In the recognition process for the surrounding image data IMS, if an abnormal behavior pattern of a dynamic object (e.g., a person, a bicycle, a car, a flying object) approaching the vehicle VH is recognized, landmark data is added to the surrounding image data IMS including this dynamic object. In the recognition process for the indoor image data IMR, if an abnormal behavior pattern of a dynamic object (e.g., a person, an animal) in the room or the movement of a static object (e.g., luggage) in the room is recognized, landmark data is added to the indoor image data IMR including this dynamic object or static object.
[0048] Following the process of step S22, the confirmation target data IMC is processed so as to be playable (step S23). An example of the process for making the confirmation target data IMC playable is a process for transmitting the confirmation target data IMC to the owner terminal 3. Another example is a process for streaming in which the confirmation target data IMC is played in the owner terminal 3 at the same time as it is downloaded.
[0049] When the landmark data is added in the process of step S22, this landmark data is processed so as to be recognizable in the owner terminal 3. An example of the process for making the landmark data recognizable is a process for transmitting the landmark data to the owner terminal 3. Another example is a process for superimposing an image showing a landmark on image data in a streaming process.
[0050] When the ambient sound data and the interior sound data are stored in the storage device 21, in the process of step S23, the sound data corresponding to the confirmation target data IMC (i.e., at least one of the ambient sound data and the interior sound data) may be processed so as to be reproducible simultaneously with the confirmation target data IMC. The process of making the sound data reproducible may be exemplified by the same example as the process of making the confirmation target data IMC reproducible. By performing the process of making the sound data reproducible, it becomes possible to help the owner OW guess or identify the cause of the damage to the vehicle body or the dirt in the interior.
[0051] 4.Effects According to the embodiment described above, the confirmation target data IMC can be reproduced on the owner terminal 3 in response to a confirmation request from the owner OW (or his / her agent). Therefore, when the owner OW (or his / her agent) finds a scratch on the vehicle body or dirt inside the vehicle, he / she can guess or identify the cause. [Explanation of symbols]
[0052] 1 Management Server 2 Vehicle terminal 3. Vehicle owner's terminal 4. Vehicle user terminal 5. Network 11 Data processing device 12 Owner DB 13 User DB 14 Log DB 15 Processors 16 Memory 21, 22 Storage device OW owner US users VH Vehicle IMR indoor image data IMS ambient image data IMC Confirmation Data
Claims
1. A method for managing a rental car service that rents out vehicles in response to rental requests from users, comprising: acquiring image data of at least one of the surroundings and the interior of the vehicle using a camera mounted on the vehicle; a step of processing the at least one image data acquired during the lending of the vehicle to the user so as to be reproducible on the terminal of the owner when a confirmation request for the at least one image data is received from a terminal of the owner of the vehicle after the lending of the vehicle to the user is completed; Including, acquiring sound data of at least one of the surroundings and the interior of the vehicle using a microphone mounted on the vehicle; a step of processing the at least one sound data acquired by using the microphone during the lending of the vehicle to the user so as to be replayable on the owner's terminal when a confirmation request for the at least one sound data is received from the owner's terminal after the lending of the vehicle to the user is completed; Further includes A method for managing a rental car service.
2. 2. The method of claim 1 , The at least one image data is surrounding image data of the vehicle, When a request to confirm the surrounding image data is received from the owner's terminal, before processing the surrounding image data so as to be replayable on the owner's terminal, a step of performing a recognition process of targets included in the surrounding image data acquired while the vehicle was being lent to the user; adding landmark data to the surrounding image data including the recognized dynamic target when an abnormal behavior pattern of the dynamic target approaching the vehicle is recognized in the recognition process; processing the landmark data so as to be recognizable on the owner's terminal when the surrounding image data is reproduced on the owner's terminal; Further includes A method for managing a rental car service.
3. 2. The method of claim 1 , The at least one image data is interior image data of the vehicle, When a request for confirmation of the interior image data is received from the owner's terminal, before the interior image data is processed so as to be playable on the owner's terminal, a recognition process of a target included in the interior image data acquired while the vehicle is being lent to the user is performed; When an abnormal behavior pattern of a dynamic target in the vehicle interior is recognized in the recognition process, or a movement of a static target in the vehicle interior is recognized, adding landmark data to the interior image data including the recognized dynamic target or static target; A step of processing the landmark data so as to be recognizable on the owner's terminal when the indoor image data is reproduced on the owner's terminal; Further includes A method for managing a rental car service.
4. The method according to any one of claims 1 to 3, In the owner's terminal, the reproduction of the at least one piece of sound data acquired by using the microphone while the vehicle is being lent to the user is performed simultaneously with the reproduction of the at least one piece of image data acquired while the vehicle is being lent to the user. A method for managing a rental car service.
5. A device for managing a rental car service that rents out vehicles in response to rental requests from users, A processor; A memory in which image data of at least one of the surroundings and interior of the vehicle acquired by a camera mounted on the vehicle, and sound data of at least one of the surroundings and interior of the vehicle acquired by a microphone mounted on the vehicle are stored; Equipped with the processor is configured to process, when a request for confirmation of the at least one image data is received from a terminal of an owner of the vehicle after the lending of the vehicle to the user is completed, the at least one image data acquired during the lending of the vehicle to the user so as to be reproducible on the terminal of the owner; The processor is further configured to process, when a request for confirmation of the at least one sound data is received from the owner's terminal after the rental of the vehicle to the user is completed, the at least one sound data captured by the microphone during the rental of the vehicle to the user so as to be replayable on the owner's terminal.
13. A rental car service operation device comprising:
6. A program for managing a rental car service that rents out vehicles in response to rental requests from users, A process of acquiring image data of at least one of the surroundings and the interior of the vehicle using a camera mounted on the vehicle; When a request for confirmation of the at least one image data is received from a terminal of an owner of the vehicle after the rental of the vehicle to the user is completed, a process of making the at least one image data acquired during the rental of the vehicle to the user reproducible on the terminal of the owner; on the computer, The program further comprises: A process of acquiring sound data of at least one of the surroundings and the interior of the vehicle using a microphone mounted on the vehicle; When a request for confirmation of the at least one sound data is received from a terminal of the owner after the rental of the vehicle to the user is completed, the at least one sound data captured by the microphone during the rental of the vehicle to the user is processed so as to be replayable on the terminal of the owner; A management program for a rental car service, which causes the computer to execute the above steps.
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