JP2023137883A - Fraud detection device, fraud detection system, fraud detection method, and program - Google Patents

Abstract

To provide a fraud detection device capable of detecting fraud pertaining to an on-board device, even if the on-board device has been modified, electrified, etc.SOLUTION: A fraud detection device, which is used to detect fraud concerning an on-board device installed in a vehicle whose account is registered by a method of linking to GNSS corresponding to information on a license plate, includes: a receiver that receives information obtained by a photographing unit independent of the vehicle photographing the vehicle and includes the license plate information; and a fraud determination unit for determining fraud pertaining to the on-board device based on account information corresponding to same license plate information and the photographed information.SELECTED DRAWING: Figure 2

Description

The present disclosure relates to a fraud detection device, a fraud detection system, a fraud detection method, and a program.

In recent years, GNSS (Global Positioning System), which measures the position of a vehicle based on signals received from satellites, has been widely used. GNSS is used, for example, to process charges for vehicles passing on expressways. In billing processing using GNSS, if signals received from satellites are falsified, billing processing cannot be performed correctly. As a countermeasure against falsification, for example, Patent Document 1 discloses that in-vehicle devices installed in two running vehicles perform inter-vehicle communication with each other, and falsification of signals is detected based on the results of the inter-vehicle communication. The technology has been disclosed.

Patent No. 6942414

However, the technique described in Patent Document 1 has a problem in that it is difficult to detect fraud related to the on-vehicle device when the on-vehicle device is modified or the power is cut off.

The present disclosure has been made to solve the above-mentioned problems, and includes a fraud detection device that can detect fraud related to an on-vehicle device even if the on-vehicle device is modified or power is cut off. The purpose is to provide a fraud detection system, fraud detection method, and program.

According to one aspect of the present disclosure, the fraud detection device is used to detect fraud regarding an on-vehicle device installed in a vehicle in which an account is registered in a manner that cooperates with GNSS in accordance with license plate information. The fraud detection device includes a receiving unit that receives photographed information obtained by photographing the vehicle by a photographing unit independent of the vehicle and includes information on the license plate, and corresponds to information on the same license plate. a fraud determination unit that determines fraud related to the on-vehicle device based on the account information and the photographing information.

According to one aspect of the present disclosure, a fraud detection system includes the fraud detection device described above, the vehicle-mounted device, and the photographing unit.

According to one aspect of the present disclosure, a fraud detection method includes a fraud detection method for detecting fraud regarding an on-vehicle device installed in a vehicle whose account is registered in a manner that corresponds to license plate information and cooperates with GNSS. The method includes the steps of: receiving photographic information obtained by photographing the vehicle by a photographing unit independent of the vehicle and including the license plate information; and the account corresponding to the same license plate information. and determining fraud related to the vehicle-mounted device based on the information and the photographic information.

According to one aspect of the present disclosure, the program is a fraud detection program used to detect fraud regarding an on-vehicle device installed in a vehicle whose account is registered in a manner that corresponds to license plate information and cooperates with GNSS. A program for operating a device, the program comprising the steps of: receiving photographic information including information on the license plate obtained by photographing the vehicle by a photographing unit independent of the vehicle; The fraud detecting device is caused to perform a step of determining fraud related to the on-vehicle device based on the information of the corresponding account and the photographing information.

According to the fraud detection device, fraud detection system, fraud detection method, and program according to the present disclosure, fraud related to the on-vehicle device can be detected even if the on-vehicle device is modified or the power is cut off. .

1 is a diagram showing the overall configuration of a fraud detection system according to an embodiment of the present disclosure. 1 is a diagram showing the overall configuration of a fraud detection system and the functional configuration of a fraud detection device according to an embodiment of the present disclosure. FIG. 3 is a diagram illustrating an example of an account table according to an embodiment of the present disclosure. FIG. 3 is a diagram illustrating an example of a table of measured positions according to an embodiment of the present disclosure. FIG. 3 is a first flowchart diagram illustrating an example of processing of the fraud detection device according to the embodiment of the present disclosure. FIG. 7 is a second flowchart diagram illustrating an example of processing of the fraud detection device according to the embodiment of the present disclosure. FIG. 7 is a third flowchart diagram illustrating an example of processing of the fraud detection device according to the embodiment of the present disclosure. FIG. 7 is a fourth flowchart diagram illustrating an example of processing of the fraud detection device according to the embodiment of the present disclosure.

Hereinafter, a fraud detection system 1 and a fraud detection device 20 according to a location embodiment of the present disclosure will be described with reference to the drawings.
FIG. 1 is a diagram showing the overall configuration of a fraud detection system according to an embodiment of the present disclosure.
As shown in FIG. 1, the fraud detection system 1 includes an onboard device 10 mounted on a vehicle V, a photographing section 11 independent from the vehicle V, and a fraud detection device 20 independent from the vehicle V and the photographing section 11. ing.

The fraud detection system 1 and the fraud detection device 20 are used to detect fraud in a vehicle V whose account has been registered in a manner linked to GNSS in accordance with license plate information within a specific detection area A1. More precisely, the fraud detection system 1 and the fraud detection device 20 are used to detect fraud in the on-vehicle device 10 mounted on such a vehicle V. The fraud detection system 1 and the fraud detection device 20 are used in toll systems such as toll roads and toll areas, and are also installed on general roads for daily enforcement. In this embodiment, a case where the fraud detection system 1 and the fraud detection device 20 are used in a charging system for a toll road, a charging area, etc. will be described as an example. The detection area A1 of this embodiment is a toll road or a charging area. An entrance toll gate is provided at the entrance E1 of the detection area A1, and an exit toll gate is provided at the exit E2 of the detection area A1. The account is stored, for example, in an account management system (not shown) that is separate from the GNSS, and account information is transmitted to the fraud detection device 20 from the account management system that cooperates with the GNSS.

By receiving signals from the GNSS satellite S, the on-vehicle device 10 successively acquires probe information including a measured position for identifying the position of the vehicle V on which the vehicle is mounted. The onboard device 10 acquires probe information for each positioning point (t, x, y). For example, when the vehicle V travels within the detection area A1 from the entrance E1 to the exit E2, the onboard device 10 detects the positioning positions (x1, y1), (x2, y2), (x3, y3), and (x4, y4). Each positioning time is set as positioning time t1, t2, t3, and t4 in order of earliest. The measured position (x, y) is two-dimensional information, and corresponds to the latitude and longitude of the onboard device 10, for example. The onboard device 10 sequentially transmits probe information of the own vehicle V to the fraud detection device 20 via a communication network such as a mobile phone, for example.

The photographing unit 11 is a fixed camera installed near the exit E2 of the detection area A1. Note that the photographing unit 11 may be a portable camera or a vehicle-mounted camera. That is, although the photographing section 11 can be installed at any location within the detection area A1, in this embodiment, the case where the photographing section 11 is installed near the exit F2 will be described as an example. The photographing unit 11 acquires photographic information including information on the license plate of the target vehicle V by photographing the vehicle V. The license plate information may be acquired as text data by the photographing unit 11, or acquired as image data by the photographing unit 11, and converted into text data by OCR (Optical Character Recognition/Reader) in the fraud detection device 20. Good too. Hereinafter, the area where the photographing unit 11 photographs the vehicle V will be referred to as a photographing area A2. The photographing area A2 is located near the exit E2 within the detection area A1. The positioning point (t4, x4, y4) in FIG. 1 is an example of the positioning point within the detection area A2.

The fraud detection device 20 is a so-called center server (computer). The fraud detection device 20 receives probe information acquired by the on-vehicle device 10 mounted on the vehicle V and photographic information acquired by the photographing section 11, and detects fraud related to the on-vehicle device 10.

(Functional configuration of fraud detection device)
The functional configuration of the fraud detection device 20 will be explained with reference to FIG. 2.
FIG. 2 is a diagram showing the overall configuration of a fraud detection system and the functional configuration of a fraud detection device according to an embodiment of the present disclosure.
As shown in FIG. 2, the fraud detection device 20 includes a processor 21, a main memory 22, a storage 23, and a communication interface 24.

The processor 21 is, for example, a CPU, and executes each process of the fraud detection device 20. The functions of the processor 21 will be described later.

The main memory 22 has a memory area necessary for the operation of the processor 21.

The storage 23 is a so-called auxiliary storage device.
Examples of the storage 23 include magnetic disks, magneto-optical disks, semiconductor memories, and the like. The storage 23 may be an internal medium directly connected to the bus of the computer, or an external medium connected to the fraud detection device 20 (computer) via the communication interface 24 or a communication line.

The communication interface 24 is an interface for transmitting and receiving information to and from external devices (the vehicle-mounted device 10 and the photographing unit 11).

Next, the functions of the processor 21 will be explained. The processor 21 functions as a receiving section 210, a registration section 211, a registration determining section 212, and a fraud determining section 213 by operating according to a predetermined program.

The receiving unit 210 sequentially receives the probe information acquired by the onboard device 10. When the probe information is received by the receiving unit 210, it is stored in the storage 23 by the registration unit 211, which will be described later. The probe information includes identification information (ID, license plate information, etc.) of the target vehicle V, positioning date, positioning time, positioning position, average error radius, speed, first vehicle information (vehicle type, etc.), and the like. Note that the positioning time is the time when the vehicle-mounted device 10 acquires the positioning position. The average error radius is a value representing the accuracy of the measured position. The first vehicle information is information related to the exterior appearance, such as the model of the vehicle. Note that the first vehicle information may be transmitted from the onboard device 10 to the receiving unit 210 as probe information, or may be stored in the account in advance.

Further, the receiving unit 210 receives photographing information acquired by the photographing unit 11. When the photographing information is received by the receiving unit 210, it is stored in the storage 23. The photographing information is so-called audit information that includes license plate information of the target vehicle V, photographing date, photographing time, photographing position, second vehicle information (vehicle type, etc.), and the like. The photographing position is the position where the photographing unit 11 photographs the vehicle V. The photographing position is sequentially acquired by the photographing unit 11 receiving signals from GNSS similarly to the vehicle-mounted device 10. Note that the photographing position may be input in advance to the photographing unit or storage. The photographing time is the time when the photographing unit 11 photographs the vehicle V. The second vehicle information is acquired by the photographing unit 11 photographing the target vehicle V. The second vehicle information, like the first vehicle information, is information related to the exterior appearance, such as the model of the vehicle.

The registration unit 211 is capable of registering probe information in an account with a corresponding ID among the accounts.

The registration determination unit 212 determines whether the vehicle V to be photographed has a registered account.

The fraud determination unit 213 determines fraud regarding the onboard device 10 based on account information and photographic information that correspond to the same license plate information.
In this embodiment, when the receiving unit 210 receives the photographing information and the probe information is not registered in the account, the fraud determining unit 213 determines that fraud related to the on-vehicle device 10 has been committed.

Further, the fraud determination unit 213 determines that fraud related to the onboard device 10 has been committed when the positioning point close to the photographing time of the photographing unit 11 included in the photographing information is not included in the photographing area A2 of the photographing unit 11. do.

In addition, the fraud determination unit 213 determines that the on-vehicle device 10 may It is determined that such fraud has been committed.
Further, the fraud determination unit 213 determines that fraud related to the onboard device 10 has been committed when the first vehicle information and the second vehicle information do not match.

The operations of the receiving section 210, the registration section 211, the registration determining section 212, and the fraud determining section 213 described above are stored in the storage 23 in the form of a program. The processor 21 reads the program from the storage 23, expands it into the main memory 22, and executes the above processing according to the program. Further, the processor 21 reserves storage areas corresponding to the above-mentioned receiving section 210, registration section 211, registration determining section 212, and fraud determining section 213 in the main memory 22 according to the program.

The program may be for realizing a part of the functions to be performed by the computer. For example, the program may function in combination with another program already stored in the storage 23 or in combination with another program installed in another device.

Moreover, the program may be for realizing part of the above-mentioned functions. Furthermore, the program may be a so-called difference file (difference program) that implements the above-mentioned functions in combination with other programs already stored in the storage 23.

Furthermore, when this program is distributed to a computer via a communication line, the computer that receives the program may load the program into the main memory 22 and execute the above processing.

The fraud detection device 20 described above may include a custom LSI (Large Scale Integrated Circuit) such as a PLD (Programmable Logic Device) in addition to or in place of the above configuration. Examples of PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate Array). In this case, part or all of the functions realized by the processor 21 may be realized by the integrated circuit.

(About account table)
FIG. 3 is a diagram illustrating an example of an account table according to an embodiment of the present disclosure.
As shown in FIG. 3, the storage 23 stores an account table of each vehicle V (each vehicle-mounted device 10) whose account is registered in a manner linked to GNSS. ID, personal information, and probe information are registered in the account table. Hereinafter, the ID, personal information, and probe information of each vehicle V (each onboard device 10) may be referred to as account information.

The ID corresponds to each vehicle V and each on-vehicle device 10 whose account is registered in a manner linked to GNSS. In FIG. 3, a case is described in which the ID is composed of a combination of alphanumeric characters.
The personal information includes, for example, a credit card number, an account number, etc. corresponding to each ID.
In FIG. 3, among the probe information, license plate information, first vehicle information, positioning time, and positioning position are described, and other probe information is omitted.

(About the positioning position table)
FIG. 4 is a diagram illustrating an example of a table of measured positions according to an embodiment of the present disclosure.
As shown in FIG. 4, the positioning positions are saved as a table for each positioning time. Note that among the probe information, information that changes depending on the positioning time other than the positioning position (for example, speed, etc.) may be saved as a table for each positioning time as shown in FIG. 4.

(Processing flow of fraud detection device)
The processing flow of the fraud detection device 20 will be described below with reference to FIGS. 5 to 8. The processing flow of the fraud detection device 20 is roughly divided into a flow for registering probe information in an account (see FIG. 5) and a flow for detecting fraud related to the onboard device 10 (see FIGS. 6 to 8).

First, we will explain the flow for registering probe information in an account. This flow is executed when the onboard device 10 transmits the probe information acquired within the area detection to the fraud detection device 20. If the onboard device 10 has not acquired probe information within the area detection, the flow for registering probe information in the account is not executed.

FIG. 5 is a first flowchart diagram illustrating an example of processing of the fraud detection device according to the embodiment of the present disclosure.
First, the receiving unit 210 receives probe information from the on-vehicle device 10 (step S10). Thereafter, the probe information is transmitted from the receiving section 210 to the registration section 211. The registration unit 211 registers probe information in the account (step S11). Every time the receiving unit 210 receives probe information, the registration unit 211 sequentially registers the probe information in the account. That is, each time the receiving unit 210 receives probe information, the positioning time and positioning position in the account table are updated one after another.
The flow for registering probe information in an account is completed as described above.

The fraud detection device 20 repeatedly executes a series of processes shown in the flowchart of FIG. 5 every time new probe information is received.

Next, a flow for detecting fraud related to the onboard device 10 will be described. This flow is executed by the photographing unit 11 photographing the target vehicle V within the photographing area A2.

FIG. 6 is a second flowchart diagram illustrating an example of the processing of the fraud detection device 20 according to the embodiment of the present disclosure.
First, the receiving unit 210 receives photographing information (step S20). The received photographic information is stored in the storage 23 for each target vehicle V. Subsequently, the registration determination unit 212 determines whether the account of the vehicle V to be photographed is registered (step S21). If the account of the vehicle V to be photographed is not registered (step S21; NO), the vehicle V to be photographed is treated as not subject to fraud detection (step S22), and the flow ends.

Note that vehicles that are not subject to fraud detection may be charged at a later date by determining that they have passed through the detection area A1 based on the second vehicle information acquired by the imaging unit 11, for example, without determining that the vehicle is fraudulent. . However, in this case, it is assumed that vehicles that are not subject to fraud detection are registered as non-GNSS vehicles.

On the other hand, if the account of the vehicle V to be photographed is registered (step S21; YES), the fraud determination unit 213 transmits the information to the on-vehicle device 10 based on the account information and photographing information corresponding to the information of the same license plate. Such fraud is determined (step S30). The flow of the process in step S30 will be explained with reference to the flowchart in FIG.

FIG. 7 is a third flowchart diagram illustrating an example of the processing of the fraud detection device according to the embodiment of the present disclosure.
In the process of step S30, the fraud determination unit 213 first determines whether probe information is registered in the account (step S301). If the onboard device 10 is normal, when photographing the target vehicle V, probe information near the entrance E1 indicating that it has already entered the detection area A1, and probe information near the entrance E1 that is travel data before exiting the detection area A1. to probe information near exit E2 are sequentially registered in the account as a probe group as shown in FIG. Therefore, if the probe information is not registered in the account (step S301; NO), the fraud determination unit 213 determines that fraud related to the on-vehicle device 10 was committed before driving in the detection area A1, and the Vehicle V is determined to be an unauthorized vehicle (step S302). Examples of fraud related to the vehicle-mounted device 10 include modification of the vehicle-mounted device 10 and disconnection of the power to the vehicle-mounted device 10 before traveling through the detection area A1. Thereafter, the fraud determination unit 213 ends the process of step S30, returns to the flowchart of FIG. 6, and ends the flow.

On the other hand, if probe information is registered in the account (step S301; YES), the fraud determination unit 213 compares the photographing information with the account information to determine fraud (step S310). The flow of the process in step S310 will be explained with reference to the flowchart in FIG. 8.

FIG. 8 is a fourth flowchart diagram illustrating an example of the processing of the fraud detection device according to the embodiment of the present disclosure.
In the process of step S310, first, the fraud determining unit 213 determines whether a positioning point close to the photographing time is included in the photographing area A2 (step S311). If the positioning point close to the photographing time is not included in the photographing area A2 (step S311; NO), the fraud determination unit 213 determines whether the positioning point near the photographing time is related to the positioning position of the onboard device 10 near the point where the photographing unit 11 photographs the vehicle V. Assuming that fraud has been committed, the vehicle V to be photographed is determined to be a fraudulent vehicle (step S312). Examples of fraud related to the vehicle-mounted device 10 include so-called GNSS spoofing, in which a positioning signal received from a GNSS satellite S is disguised. Further, it is conceivable that the fraud related to the on-vehicle device 10 is caused by the driver's side or by a malicious attack by a third party. After that, the fraud determination unit 213 ends the process of step S310 and returns to the flowchart of FIG. 7. Furthermore, the fraud determination unit 213 ends the process of step S30, returns to the flowchart of FIG. 6, and ends the flow.

On the other hand, if a positioning point close to the photographing time is included in the photographing area A2 (step S311; YES), the fraud determination unit 213 determines that the difference between the positioning time of the positioning point in the photographing area A2 and the photographing time is within the specified range. It is determined whether it is within the time (step S313). If the difference between the positioning time of the positioning point in the photographing area A2 and the photographing time is not within the specified time (step S313; NO), the fraud determination unit 213 determines that the vehicle Assuming that fraud has occurred regarding the positioning time of device 10, the vehicle V to be photographed is determined to be a fraudulent vehicle (step S314). Examples of fraud related to the onboard device 10 include GNSS spoofing, falsification of positioning time, and power outage of the onboard device 10. Thereafter, the fraud determination unit 213 ends the process of step S310 and returns to the flowchart of FIG. 7. Furthermore, the fraud determination unit 213 ends the process of step S30, returns to the flowchart of FIG. 6, and ends the flow.

On the other hand, if the difference between the positioning time of the positioning point in the photographing area A2 and the photographing position is within the prescribed time (step S313; YES), the fraud determination unit 213 determines the first vehicle information (vehicle type) registered in the account. etc.) and the second vehicle information (vehicle type, etc.) acquired by the imaging unit 11 (step S315). If the first vehicle information and the second vehicle information do not match (step S315; NO), the fraud determination unit 213 determines that fraud related to the on-vehicle device 10 has been committed, and determines that the vehicle V to be photographed is a fraudulent vehicle. Determination is made (step S316). Examples of fraud related to the vehicle-mounted device 10 include falsification of probe information acquired by the vehicle-mounted device 10 and fraud in account registration information.

On the other hand, if the first vehicle information and the second vehicle information match (step S315; YES), the fraud determination unit 213 determines that there is no fraud related to the on-vehicle device 10, and classifies the vehicle V to be photographed as a normal vehicle. It is determined that (step S317). Thereafter, the fraud determination unit 213 ends the process of step S310 and returns to the flowchart of FIG. 7. Furthermore, the fraud determination unit 213 ends the process of step S30, returns to the flowchart of FIG. 6, and ends the flow.
As described above, the flow for detecting fraud related to the on-vehicle device 10 is completed.

The fraud detection device 20 repeatedly executes a series of processes shown in the flowchart of FIG. 6 every time new photographic information is received. Further, the determination results of the fraud detection device 20 are sequentially notified to the billing system and the like, and are used for the processing of the billing system and the like. For example, when the billing system receives a determination result indicating that fraud related to the on-vehicle device 10 of the target vehicle V is detected within the detection area A1 from the fraud detection device 20, the charging system Processes such as sending a warning to the user of No. 10 and imposing a fine on the target vehicle V are performed.

Note that in the flows shown in FIGS. 6 to 8, the process in step S310 may be executed without executing the process in step S301. Further, regarding the process in step S310, the order of the processes in step S311, step S313, and step S315 may be changed as appropriate. Moreover, the process of step S310 may be comprised from some processes of the process of step S311, step S313, and step S315.

(effect)
As described above, the fraud detection device 20 is configured to include a receiving unit 210 that receives photographed information including license plate information obtained by photographing the vehicle V by the photographing unit 11 independent from the vehicle V, and a receiving unit 210 that receives photographed information including license plate information. and a fraud determination unit 213 that determines fraud related to the on-vehicle device 10 based on account information and photographic information corresponding to the information.

By doing so, the fraud detection device 20 can determine fraud regarding the vehicle-mounted device 10 based on the photographic information acquired by the photographing section 11. Since the photographing unit 11 is independent from the vehicle V, it is difficult for the user of the onboard device 10 to tamper with the photographing information. Therefore, the fraud detection device 20 can detect fraud related to the vehicle-mounted device 10 even if the vehicle-mounted device 10 is modified or the power is cut off.

Further, the fraud detection device 20 further includes a registration section 211. The receiving unit 210 further receives probe information including the positioning position of the vehicle V obtained by the onboard device 10 receiving a signal from the GNSS satellite S, and the registration unit 211 can register the probe information in the account. It is.

By doing so, it is possible to detect that fraud related to the vehicle-mounted device 10 has been committed based not only on the photographic information but also on the probe information. Thereby, the fraud detection device 20 can detect fraud related to the vehicle-mounted device 10 more accurately compared to the case where fraud related to the vehicle-mounted device 10 is detected based only on photographic information.

Further, when the receiving unit 210 receives the photographing information and the probe information is not registered in the account, the fraud determining unit 213 determines that fraud related to the on-vehicle device 10 has been committed.

By doing so, the fraud detection device 20 can detect that fraud related to the on-vehicle device 10 is being carried out even before the vehicle V enters the area where fraud related to the on-vehicle device 10 is detected. . Therefore, the fraud detection device 20 can detect fraud related to the onboard device 10 in more detail and accurately.

Further, the fraud determination unit 213 determines that fraud related to the onboard device 10 has been committed when the positioning point close to the photographing time of the photographing unit 11 included in the photographing information is not included in the photographing area A2 of the photographing unit 11. do.

By doing so, the fraud detection device 20 can detect that fraud related to the measured position of the vehicle-mounted device 10 has been performed near the point where the photographing unit 11 photographs the vehicle V. Therefore, the fraud detection device 20 can detect fraud related to the onboard device 10 in more detail and accurately.

Further, the probe information includes the positioning time when the onboard device 10 acquired the positioning position, and the fraud determination unit 213 determines the positioning time of the positioning point in the photographing area A2 of the photographing unit 11 and the positioning time of the positioning point of the photographing unit 11 included in the photographing information. If the difference from the photographing time is not within a specified time, it is determined that fraud related to the on-vehicle device 10 has been committed.

By doing so, the fraud detection device 20 can detect that fraud related to the positioning time has been performed on the vehicle-mounted device 10 near the point where the photographing unit 11 photographs the vehicle V. Therefore, the fraud detection device 20 can detect fraud related to the onboard device 10 in more detail and accurately.

In addition, the first vehicle information of the vehicle V is registered in the account, the photographing information includes the second vehicle information of the vehicle V obtained by photographing the vehicle V by the photographing unit 11, and the fraud determining unit 213 , when the first vehicle information and the second vehicle information do not match, it is determined that fraud related to the onboard device 10 has been committed.

By doing so, the fraud detection device 20 can detect that fraud related to vehicle information has been carried out with respect to the vehicle V to be detected. Therefore, the fraud detection device 20 can detect fraud related to the onboard device 10 in more detail and accurately.

As mentioned above, although the embodiment according to the present disclosure has been described, this embodiment is presented as an example and is not intended to limit the scope of the invention. This embodiment can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included within the scope and gist of the invention as well as within the scope of the invention described in the claims and its equivalents.

<Additional notes>
The fraud detection device, fraud detection system, fraud detection method, and program described in the above embodiments can be understood, for example, as follows.

According to the first aspect of the present disclosure, the fraud detection device (20) detects information about the on-vehicle device (10) installed in a vehicle whose account is registered in a manner that cooperates with GNSS in accordance with license plate information. A fraud detection device used for detecting fraud, which is obtained by a photographing unit (11) independent of the vehicle photographing the vehicle, and receiving photographic information including information on the license plate. (210); and a fraud determination unit (213) that determines fraud related to the on-vehicle device based on the account information and the photography information that correspond to the same license plate information.

By doing so, the fraud detection device can determine whether the vehicle-mounted device is fraudulent based on the photographic information acquired by the photographing unit. Since the photographing unit is independent from the vehicle in which the on-vehicle device is installed, it is difficult for the user of the on-vehicle device to falsify the photographing information. Therefore, the fraud detection device can detect fraud related to the vehicle-mounted device even if the vehicle-mounted device is modified or the power is cut off.

According to the second aspect of the present disclosure, the fraud detection device (20) according to the first aspect further includes a registration unit (211). The receiving unit (210) further receives probe information including the positioning position of the vehicle acquired by the on-vehicle device (10) receiving a signal from the GNSS satellite, and the registration unit The probe information can be registered in the account.

By doing so, it is possible to detect that fraud related to the vehicle-mounted device has been carried out based not only on the photographic information but also on the probe information. Thereby, the fraud detection device can detect fraud related to the on-vehicle device more accurately than when detecting fraud related to the on-vehicle device based only on photographic information.

According to the third aspect of the present disclosure, in the fraud detection device (20) according to the second aspect, when the receiving unit (210) receives the photographing information, the probe information is registered in the account. If not, the fraud determination unit (213) determines that fraud has occurred regarding the on-vehicle device (10).

By doing so, the fraud detection device can detect that fraud related to the on-vehicle device is being committed even before the vehicle enters an area where fraud related to the on-vehicle device is detected. Therefore, the fraud detection device can detect fraud related to the on-vehicle device in more detail and accurately.

According to the fourth aspect of the present disclosure, in the fraud detection device (20) according to the second or third aspect, the fraud determination section (213) is configured to detect the image capturing section (11) included in the photographing information. When the positioning point close to the photographing time is not included in the photographing area (A2) of the photographing unit, it is determined that fraud related to the on-vehicle device (10) has been committed.

By doing so, the fraud detection device can detect that fraud related to the positioning of the vehicle-mounted device has been performed near the point where the imaging unit photographs the vehicle. Therefore, the fraud detection device can detect fraud related to the on-vehicle device in more detail and accurately.

According to a fifth aspect of the present disclosure, in the fraud detection device 20 according to any one of the second to fourth aspects, the probe information includes a positioning time when the onboard device 10 acquires the positioning position. , the fraud determination section 213 determines that the difference between the positioning time of the positioning point in the photographing area (A2) of the photographing section (11) and the photographing time of the photographing section included in the photographing information is not within a specified time. In this case, it is determined that fraud related to the on-vehicle device (10) has been committed.

By doing so, the fraud detection device can detect that fraud related to the positioning time has been performed on the vehicle-mounted device near the point where the imaging unit photographs the vehicle. Therefore, the fraud detection device can detect fraud related to the on-vehicle device in more detail and accurately.

According to a sixth aspect of the present disclosure, in the fraud detection device (20) according to any one of the first to fifth aspects, first vehicle information of the vehicle is registered in the account, and the first vehicle information of the vehicle is registered in the account; The information includes second vehicle information of the vehicle acquired by the photographing unit (11) photographing the vehicle, and the fraud determining unit (213) includes the first vehicle information and the second vehicle information. If they do not match, it is determined that fraud related to the on-vehicle device (10) has been committed.

By doing so, the fraud detection device can detect that fraud related to vehicle information has been carried out with respect to the vehicle to be detected. Therefore, the fraud detection device can detect fraud related to the on-vehicle device in more detail and accurately.

According to a seventh aspect of the present disclosure, a fraud detection system (1) includes the fraud detection device (20) according to any one of the first to sixth aspects, the on-vehicle device (10), and the fraud detection system (1). A photographing section (11) is provided.

According to the eighth aspect of the present disclosure, the fraud detection method detects fraud in the on-vehicle device (10) installed in a vehicle in which an account is registered in a manner that cooperates with GNSS in accordance with license plate information. A fraud detection method for detecting fraud, comprising the steps of: receiving photographic information including information on the license plate obtained by photographing the vehicle by a photographing unit (11) independent of the vehicle; The method further includes the step of determining fraud related to the on-vehicle device based on the account information and the photographing information corresponding to the plate information.

According to the ninth aspect of the present disclosure, the program detects fraud in the on-vehicle device (10) installed in a vehicle in which an account is registered in a manner that cooperates with GNSS in accordance with license plate information. A program for operating a fraud detection device (20) used in a vehicle, which is obtained by a photographing unit (11) independent of the vehicle photographing the vehicle, and receives photographic information including information on the license plate. and a step of determining fraud related to the vehicle-mounted device based on the account information and the photography information that correspond to the same license plate information.

1 Fraud detection system 10 Onboard device 11 Photographing unit 20 Fraud detection device 21 Processor 210 Receiving unit 211 Registration unit 212 Registration determination unit 213 Fraud determination unit 22 Main memory 23 Storage 24 Communication interface

Claims (9)

A fraud detection device used to detect fraud in an on-vehicle device installed in a vehicle whose account is registered in a manner that cooperates with GNSS in response to license plate information,
a receiving unit that receives photographic information including information on the license plate obtained by photographing the vehicle by a photographing unit independent from the vehicle;
a fraud determination unit that determines fraud related to the on-vehicle device based on the account information and the photography information that correspond to the same license plate information;
A fraud detection device equipped with It also has a registration department,
The receiving unit further receives probe information including a positioning position of the vehicle obtained by the on-vehicle device receiving a signal from the GNSS satellite,
The registration unit is capable of registering the probe information in the account.
The fraud detection device according to claim 1. When the receiving unit receives the photographing information, if the probe information is not registered in the account, the fraud determining unit determines that fraud related to the on-vehicle device has been committed.
The fraud detection device according to claim 2. The fraud determination unit determines that fraud related to the on-vehicle device has been committed when a positioning point close to a photographing time of the photographing unit included in the photographing information is not included in the photographing area of the photographing unit.
The fraud detection device according to claim 2 or 3. The probe information includes a positioning time when the onboard device acquired the positioning position,
The fraud determination unit determines whether or not the vehicle-mounted device has a fixed time when the difference between the positioning time of the positioning point within the photographing area of the photographing unit and the photographing time of the photographing unit included in the photographing information is not within a predetermined time. determine that fraud has been committed,
The fraud detection device according to any one of claims 2 to 4. First vehicle information of the vehicle is registered in the account,
The photographing information includes second vehicle information of the vehicle acquired by the photographing unit photographing the vehicle,
The fraud determination unit determines that fraud related to the on-vehicle device has been committed when the first vehicle information and the second vehicle information do not match.
The fraud detection device according to any one of claims 1 to 5. A fraud detection device according to any one of claims 1 to 6,
The on-vehicle device;
The photography department;
A fraud detection system equipped with A fraud detection method for detecting fraud in an on-vehicle device installed in a vehicle whose account is registered in a manner that cooperates with GNSS in response to license plate information, the method comprising:
a step of receiving photographic information including information on the license plate obtained by photographing the vehicle by a photographing unit independent from the vehicle;
determining fraud related to the on-vehicle device based on the account information and the photographing information that correspond to the same license plate information;
A fraud detection method having A program that operates a fraud detection device used to detect fraud regarding onboard equipment installed in a vehicle whose account is registered in a manner linked to GNSS in response to license plate information,
a step of receiving photographic information including information on the license plate obtained by photographing the vehicle by a photographing unit independent from the vehicle;
determining fraud related to the on-vehicle device based on the account information and the photographing information that correspond to the same license plate information;
A program that causes the fraud detection device to execute.

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