CN107004353B - Traffic violation management system and traffic violation management method - Google Patents

Traffic violation management system and traffic violation management method Download PDF

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Publication number
CN107004353B
CN107004353B CN201580067858.2A CN201580067858A CN107004353B CN 107004353 B CN107004353 B CN 107004353B CN 201580067858 A CN201580067858 A CN 201580067858A CN 107004353 B CN107004353 B CN 107004353B
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traffic violation
violation
unit
traffic
information
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CN107004353A (en
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泷泽光司
上野浩辉
谷口正宏
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Omron Corp
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Omron Corp
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/04Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/052Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed

Abstract

A traffic violation management system (100) is provided with a detection information acquisition means (11), a person identification means (13), a verification determination means (12), an importance determination means (18), and a storage means (15). A detection information acquisition unit (11) acquires an image of the traffic violation captured by the imaging unit. A person determination unit (13) determines at least one person among a driver, an owner, and a fellow passenger of the vehicle in which the traffic violation is detected, based on the acquired image. A confirmation judging unit (12) judges whether or not the traffic violation can be confirmed based on at least the acquired image. An importance determination unit (18) determines the importance of the traffic violation when at least one person is identified and it is determined that the traffic violation can be confirmed. The storage unit (15) stores traffic violation information in which the importance, the information of the identified person, the image used by the verification and judgment unit (12), and the image used by the person identification unit (13) are associated with each other for each traffic violation.

Description

Traffic violation management system and traffic violation management method
Technical Field
The present invention relates to a traffic violation management system and a traffic violation management method for managing information relating to traffic violations using images captured by an imaging unit such as a camera.
Background
Conventionally, a vehicle recognition device has been proposed which discriminates a vehicle, a driver, and the like using a captured image of the vehicle captured by an imaging device such as a camera. It is widely recognized that such a vehicle identification device is effective for supervision of traffic violation, accident countermeasure, criminal search (finding a vehicle used by a criminal), and the like.
For example, patent document 1 discloses a regulation violation vehicle notification system including: the vehicle condition analysis information including an image obtained by photographing a regulation violation vehicle having a license plate by a portable terminal and a corresponding car registration number is transmitted to a supervision server. In the illegal vehicle notification system, an image acquired by the portable terminal is analyzed to acquire a car registration number, and the car registration number is transmitted to and stored in the monitoring server as vehicle condition analysis information. Therefore, it is not necessary to transmit a large amount of image information from the portable terminal to the monitoring server, and the data amount is minimized.
However, the above-described conventional structure has the following problems.
That is, in the system disclosed in patent document 1, only the car registration number as the vehicle condition analysis information is automatically acquired from the image captured by the general reporter using the personal mobile terminal, and is transmitted to the monitoring server. Thus, the notification may be made based on an image of a vehicle that is not actually violating or an image that is not sufficiently verified despite the violation. In this case, the number of traffic violations that must be confirmed by the police is large, and the police has a large processing load. Also, insufficient data to confirm the traffic violation may be included in the data that must be confirmed by the police.
Documents of the prior art
Patent document
Patent document 1: japanese laid-open patent publication No. 2006-119767
Disclosure of Invention
The invention provides a traffic violation management system and a traffic violation management method capable of efficiently managing information required for traffic violation supervision.
(means for solving the problems)
The traffic violation management system of claim 1 includes an image acquisition unit, a person identification unit, a verification determination unit, an importance determination unit, and a storage unit. The image acquisition unit acquires an image of the traffic violation captured by the imaging unit. The person determination unit determines at least one person among a driver, an owner, and a fellow passenger of the vehicle in which the traffic violation is detected, based on the acquired image. A confirmation judging unit judges whether the traffic violation can be confirmed at least based on the acquired image. The importance determination unit determines the importance of the traffic violation in a case where at least one person is specified and it is determined that the traffic violation can be confirmed. The storage means stores traffic violation information in which the importance, the information on the identified person, the image used by the verification and judgment means, and the image used by the person identification means are associated with each other for each traffic violation.
In the traffic violation management system, the importance of the traffic violation is determined and stored in association with the image used for the verification, in the case where the person specifying means specifies the person who violates the traffic violation and the verification determining means determines that the violation can be verified, based on the image in which the traffic violation is detected. That is, the traffic violation management system stores not only information required for verification but also its importance in association with each other. Thus, information required for monitoring traffic violations can be efficiently managed. Therefore, police officers or the like who supervise traffic violations can preferentially extract traffic violation information of higher importance, for example.
The traffic violation management system of the invention 2 is based on the traffic violation management system of the invention 1, and the importance determination unit determines the importance according to the amount of the violation fine collected for traffic violation.
Here, since the importance is determined based on the amount of the violation fine collected for the traffic violation, information on a traffic violation that is large, that is, a significant traffic violation can be extracted. Thus, information required for monitoring traffic violations can be efficiently managed. Therefore, for example, an officer or the like who supervises the traffic violation can preferentially acquire and confirm the information of the important traffic violation.
The traffic violation management system of the invention 3 is based on the traffic violation management system of the invention 1 or 2, and further has a display control unit that displays traffic violation information on a screen of the display unit in an order corresponding to the importance.
Here, since the traffic violation information including the image is displayed in the order corresponding to the importance, information necessary for monitoring the traffic violation can be efficiently acquired.
The traffic violation management system of claim 4 is the traffic violation management system of claim 3, further comprising a total amount calculation unit that calculates a total amount of violation fines of the plurality of pieces of traffic violation information stored for the specified person, and the display control unit displays the total amount, the specified person, and the plurality of pieces of traffic violation information in association with each other on a screen of the display unit.
Here, the total amount of the violation fine can be calculated for the specified person, and the plurality of pieces of traffic violation information made by the person and the total amount of the violation fine can be displayed in association with each other. Therefore, a plurality of police officers and the like can extract and display not only persons who violate a serious traffic violation, but also persons who violate a repeated traffic violation. This makes it possible to display information of high importance in traffic violation.
The traffic violation management system of the invention 5 is based on the traffic violation management system of the invention 3 or 4, and the traffic violation management system further has an input part for accepting input operation, and the display control unit extracts traffic violation information according to the amount of the violation fine and displays the information on the screen of the display unit.
Here, the traffic violation information corresponding to the violation penalty amount can be extracted by the search function and displayed on the display unit. Therefore, police officers or the like who supervise traffic violations can confirm traffic violation information according to the importance degree of traffic violations (the size of the violation fine), and can efficiently process traffic violations.
The traffic violation management system of claim 6 is based on the traffic violation management system of claim 5, and the display control unit extracts a plurality of pieces of traffic violation information based on the total amount of the violation fine and displays the pieces of traffic violation information on the display unit for each of the determined persons.
Here, it is possible to extract a plurality of pieces of traffic violation information from the total amount of the violation fine for each specified person and display the extracted pieces of traffic violation information on the display unit. Therefore, police officers and the like can extract and display the person who repeatedly breaks the traffic violation on the screen, and can efficiently deal with the traffic violation.
The traffic violation management system of claim 7 is the traffic violation management system of any one of the inventions 1 or 2, wherein the image pickup unit is a camera for picking up an image of the road, and detects the traffic violation based on the image of the camera.
Here, whether or not the traffic violation can be confirmed is determined from the camera image, and therefore, the reliability of the confirmation can be improved.
The traffic violation management system of the invention 8 is based on any one of the traffic violation management systems of the invention 1 or 2, and further comprises a violation fine billing file generation unit, wherein the violation fine billing file generation unit generates a billing file of violation fine, and the violation fine billing file generation unit associates the generated billing file of violation fine with traffic violation information and stores the information in the storage unit.
Here, the traffic violation information is further associated with the violation fine billing file for storage, so that police officers and the like supervising the traffic violation can more efficiently handle the traffic violation.
The traffic violation management system of claim 9 includes an image acquisition unit, a person specifying unit, a confirmation determination unit, an importance determination unit, and a display control unit. The image acquisition unit acquires an image of the traffic violation captured by the imaging unit. The person determination unit determines at least one person among a driver, an owner, and a fellow passenger of the vehicle in which the traffic violation is detected, based on the acquired image. A confirmation judging unit judges whether the traffic violation can be confirmed at least based on the acquired image. The importance determination unit determines the importance of the traffic violation in a case where at least one person is specified and it is determined that the traffic violation can be confirmed. The display control means displays on the screen, in the order corresponding to the importance, traffic violation information in which at least the importance, the information on the identified person, the image used by the confirmation judging means, and the image used by the person identifying means are associated with each other for each traffic violation.
Here, when the person specifying means specifies the person of the violation based on the image in which the traffic violation is detected and the confirmation judging means judges that the violation can be confirmed, the importance of the traffic violation is judged and displayed in association with the image used for the confirmation. That is, in the traffic violation management system, not only information necessary for verification but also the importance thereof is displayed in association with each other. Thus, information necessary for monitoring traffic violations can be efficiently managed, and police officers or the like who monitor traffic violations can, for example, preferentially acquire traffic violation information of high importance and confirm the information on the screen.
The traffic violation management method of claim 10 includes an image acquisition step, a person identification step, a confirmation determination step, an importance determination step, and a storage step. In the image acquisition step, an image of the time of the traffic violation captured by the imaging means is acquired. In the person determining step, at least one person among a driver, an owner, and a fellow passenger of the vehicle in which the traffic violation is detected is determined from the acquired image. In the confirmation judging step, it is judged whether or not the traffic violation can be confirmed based on at least the acquired image. In the importance level judging step, in a case where at least one person is specified and it is judged that the traffic violation can be confirmed, the importance level of the traffic violation is judged. In the storage step, traffic violation information in which at least the importance, the information on the identified person, the image used in the verification determination step, and the image used in the person identification step are associated with each other is stored for each traffic violation.
In the traffic violation management method, the importance of the traffic violation is determined and stored in association with the image used for the verification, in the case where the person specifying unit specifies the person who violates the traffic violation and the verification determining unit determines that the violation can be verified, based on the image in which the traffic violation is detected. That is, in the traffic violation management method, not only information necessary for verification but also the importance thereof is stored in association with each other. Thus, information required for monitoring traffic violations can be efficiently managed. Therefore, police officers or the like who supervise traffic violations can preferentially extract traffic violation information of higher importance, for example.
(effect of the invention)
According to the traffic violation management system and the traffic violation management method, information required for monitoring traffic violations can be efficiently managed.
Drawings
Fig. 1 (a) and (b) are diagrams showing an example of the arrangement of a camera for supplying a captured image to the traffic violation management system according to the embodiment of the present invention.
Fig. 2 is a block diagram showing the overall configuration of the traffic violation management system according to the present embodiment.
Fig. 3 is a block diagram showing the configuration of a confirmation determination unit included in the traffic violation management system of fig. 2.
Fig. 4 is a block diagram showing the configuration of a person determining unit included in the traffic violation management system of fig. 2.
Fig. 5 is a block diagram showing the configuration of an importance determination unit included in the traffic violation management system of fig. 2.
Fig. 6 (a) to (c) are diagrams showing an example of switching display of the display screen of the display unit included in the traffic violation management system of fig. 2.
Fig. 7 is a flow chart showing an importance determination processing flow of the traffic violation management method system of fig. 2.
Fig. 8 is a flow chart illustrating a display control processing flow of the traffic violation management method system of fig. 2.
Fig. 9 is a block diagram showing a configuration example of a traffic violation management system according to a modification.
Fig. 10 is a diagram showing an example of a screen of a display unit included in the traffic violation management system according to the above-described modification.
Fig. 11 is a diagram showing a configuration example of the traffic violation management system of the present invention.
Detailed Description
As described below, a traffic violation management system 100 according to an embodiment of the present invention will be described with reference to fig. 1 to 8.
<1. overview of traffic violation management System 100 >
The traffic violation management system 100 of the present embodiment acquires violation detection information (including the content, place, and image of a traffic violation) acquired by a connected traffic violation monitoring device, determines whether or not the traffic violation can be verified based on the violation detection information, and manages the traffic violation information based on the importance.
The traffic violation management system 100 is provided in, for example, a police station or the like that performs supervision of traffic violations. In the case where the occurrence of a traffic violation is detected in the system 100, the police officer or the like confirms the image extracted as described later and determines whether or not the image is a traffic violation monitoring target. That is, the traffic violation management system 100 is used as a system for assisting an officer or the like to efficiently perform traffic violation processing. In actual use, police officers and the like confirm the display screen of a PC one by using the PC or the like connected to the present system 100, and perform traffic violation processing. The input unit uses a mouse, a keyboard, a touch panel, or the like.
The traffic violation management system 100 is connected to a prescribed traffic violation monitoring device (e.g., an automatic speed violation monitoring device, an automatic car number reading device, an automatic red light running monitoring device, etc.). The traffic violation supervision apparatus includes a camera as a camera unit and supplies an image to the traffic violation management system 100.
For example, as shown in fig. 1 (a), the camera is a camera 10 installed at a predetermined position of an intersection. The camera 10 captures an image including a road on which the camera 10 is provided and a vehicle traveling on the road. Further, as will be described later, the camera 10 transmits the captured image to the traffic violation management system 100.
The camera 10 is, for example, arranged to be able to take images of the front of a vehicle and the position of a driver moving within an intersection in order to use the images taken to determine traffic violations and persons. As shown in fig. 1 (a) and 1 (b), the installation position may be provided on a column (inverted U-shaped or L-shaped) 102 or the like dedicated to the camera 10, or may be attached to existing equipment such as a traffic light, a street lamp, a street bridge, and a sign.
As shown in the drawing, it is not necessary to provide the camera 10 for each lane, one camera 10 may be provided for a plurality of lanes, or a plurality of cameras 10 may be provided for one lane.
<2 > Structure of the traffic violation management System 100
The traffic violation management system 100 of the present embodiment acquires images (including photographs and images) taken at the time of traffic violation detection. Further, the traffic violation management system 100 determines whether or not the traffic violation can be confirmed based on the acquired image, identifies the violator, and automatically sorts, stores, and displays information based on the importance of the traffic violation, thereby improving the efficiency of policemen or the like in supervising the traffic violation. Here, the violator is a person identified by laws and the like prescribed in each country, such as a driver, a fellow passenger, and a vehicle possessor, and the identification target may be different for each country or autonomous body.
In particular, the present system 100 manages information relating to traffic violations based on the amount of a violation fine (fine) that is an element that measures the importance of the traffic violation. Traffic violations with higher violation penalties are more dangerous and prone to accidents, meaning significant. The information related to the traffic violation is managed according to the importance, and therefore the traffic violation monitoring efficiency can be improved.
In the present embodiment, the content (category) of the detected traffic violation is a traffic violation that can be verified using the image, and includes, for example, red light running, speeding, no-pass violation, passing section violation, no-overtaking violation, temporary stop prohibition in a specified place, parking violation, passing road section violation, and the like.
As shown in fig. 2, the traffic violation management system 100 includes a detection information acquisition unit 11 (an example of an image acquisition unit), a confirmation determination unit 12 (an example of a confirmation determination unit), a person specification unit 13 (an example of a person specification unit), an importance determination unit (an example of an importance determination unit), a violation fine bill file generation unit 14 (an example of a violation fine bill file generation unit), a storage unit 15 (an example of a storage unit), a display control unit 16 (an example of a display control unit), and a display unit 17 (an example of a display unit). The traffic violation management system 100 is also connected to an input unit 150 (an example of an input unit).
The detection information acquisition unit 11 acquires violation information from the violation detection unit 19.
The violation detecting unit 19 is a traffic violation monitoring device such as an automatic speed violation monitoring device, an automatic car number reading device, and an automatic red light running monitoring device, and includes a camera 10 (an example of an imaging unit) as an imaging unit. When a traffic violation is detected by these devices, the camera 10 captures the number plate and the driver of the subject vehicle, and generates an image. Here, the automatic speed violation monitoring device includes, for example, a radar type, a loop coil type, and the like, and a known technique can be used.
In addition, the traffic violation management system 100 may also be connected to violation detection units 19 belonging to other systems.
The detection information acquiring unit 11 acquires violation detection information from the violation detecting unit 19. The violation detection information includes the content (category) of the traffic violation, the place where the traffic violation occurred, the image (image of the violation vehicle and image of the person) captured by the camera 10, and the like. The detection information acquiring unit 11 transmits the acquired image to the confirmation judging unit 12, the person specifying unit 13, and the importance judging unit 18.
The detection information acquiring unit 11 may have a storage unit (not shown) for temporarily storing the acquired violation detection information (including image data). In this case, the processing of the present system 100 may be started after the time interval for receiving the violation detection information and the data amount are adjusted.
The confirmation judging unit 12 judges whether or not the information for sufficiently confirming the traffic violation is complete and whether or not the confirmation is possible, based on the content of the traffic violation and the information including one or more images of the vehicle against the traffic violation. More specifically, it is determined whether or not images usable as evidence for confirming the traffic violation are complete and whether or not the confirmation is possible, based on the acquired content of the traffic violation, the content and sharpness of the image in which the traffic violation is captured, and the like. The contents of the images show, for example, whether the entire face of a person is included, whether the entire number plate is included, whether the face and the number plate of a person are included in one image, how much the face and the number plate are included if not all the faces are included, and the like. In addition to the image contents, whether or not the verification is possible is determined based on the number of pictures of the same violation. The detailed processing of the confirmation judging unit 12 will be described in detail later with reference to fig. 3.
The person determination unit 13 determines a person associated with the violation vehicle or traffic violation. The person associated with the traffic violation includes the driver, co-worker, owner of the violation vehicle, employer (business, etc.) of the driver of the violation vehicle, etc. The person specifying unit 13 checks the car number information read from the image received from the detection information acquiring unit 11 with the registered information stored in advance, specifies the owner of the vehicle, and outputs the owner as the person information. The person specifying unit 13 checks the face of the driver or the fellow passenger detected in the image against the photograph information of the license held in advance by using a known face authentication technique, and specifies the driver or the fellow passenger who violates the regulations. The details of the process performed by the person identification unit 13 when identifying a person associated with a traffic violation will be described later in detail with reference to fig. 4.
When the verification determining means 12 determines that verification is possible and the person specifying means 13 specifies the person, the importance determining means 18 refers to the information on the violation fine stored in advance and determines the amount of the violation fine as the importance for the traffic violation. Then, the importance determination unit generates traffic violation information in which the determined violation fine amount, the image used by the person specification unit 13, the image used for the verified determination, the specified person information, and the like are associated with each other for each traffic violation, and stores the traffic violation information in the storage unit 15. The details of the process of determining the amount of the violation penalty by the importance determining unit 18 will be described later with reference to fig. 5.
The violation fine billing file generation unit 14 generates a bill for violation fine for each traffic violation. More specifically, the violation fine amount is determined by the importance determination unit 18, and thereby the violation fine bill file generation unit 14 generates a violation fine bill file. The violation fine billing file generation unit 14 detects an address or the like as a billing transmission destination from the character information specified by the character specification unit 13 in the traffic violation, and generates a violation fine billing file.
The storage unit 15 stores the traffic violation information generated by the confirmation judging unit 12. The storage unit 15 is, for example, a magnetic recording device, a semiconductor memory, or the like.
The display control unit 16 controls the display unit 17 so that the traffic violation information stored in the storage unit 15 is displayed in the order of the group of the violation fine amount from high to low.
The display unit 17 is a display device such as a liquid crystal display, for example, and displays the traffic violation information stored in the storage unit 15 in order corresponding to the amount of the violation fine. The display format on the display screen of the display unit 17 will be described in detail later with reference to (a) to (c) of fig. 6.
The input unit 150 is configured by a mouse, a keyboard, a touch panel, and the like connected to the traffic violation management system 100, and is operated by a user (an officer or the like). According to the operation of the input section 150, the function of the display control unit 16 and the like is executed.
<2-1. Structure of confirmation judging Unit 12 >
Next, the authentication determining unit 12 will be described with reference to fig. 3.
As shown in fig. 3, the certification judging unit 12 can access a Database (DB)21 which is a part of the storage unit 15.
The DB21 includes a certification condition storage section 211, and the certification condition storage section 211 stores information (certification conditions) about conditions for certifying traffic violations (conditions including images usable in certification).
Here, the confirmation condition includes, for example, condition items such as the number of photographs or images of the vehicle and person against traffic regulations, the reflection, the content, and the sharpness, and a threshold value as a confirmation possibility criterion is set for each condition item.
The verification determining unit 12 refers to the verification conditions stored in the verification condition storage unit 211, and determines to what extent these condition items are satisfied, for example, whether or not they are equal to or greater than a threshold value, whether or not a person can be discriminated, and the like. For example, in the case where 2 photographs are required for the verification of a violation for the same violation, it is determined that the verification is possible when there are 2 photographs in which the car number at the time of the violation can be confirmed and 2 photographs in which the face of the driver can be confirmed. For example, in the case where only 1 photo is confirmed in the confirmation of the violation for the same violation, if there are 1 photo at the time of violation and the car number is clear but the image is not captured at the forehead or more of the driver, it is determined that the confirmation is possible as long as the person discrimination of the driver described later is possible.
As a condition for enabling discrimination of an image of a person, for example, in the case of discriminating a driver, it is considered that the face of the driver in the image is clear and can be sufficiently checked against a face photograph of a driver's license. In addition, when the owner of the vehicle is determined, it is considered that the vehicle number of the regulation violation vehicle in the image is clear and can be sufficiently read.
The above-described confirmation conditions are stored in advance according to conditions required for confirmation corresponding to laws, regulations, operations, and the like of a country or an autonomous body. For example, the conditions are such that it is necessary to include a specifiable violation vehicle and driver in 1 image, to include a specifiable violation vehicle and person in a verifiable state in each image when a plurality of images are combined, and to have 2 or more photographs of the person in the verification of the traffic violation. In addition, a condition (whether or not there is an image or a photograph of the driver) for specifying only the driver is set in the country in which the driver is supervised, and a condition for specifying only the vehicle number is set in the country in which the driver is supervised only the owner of the vehicle. This precondition is stored in advance in DB21 or the like. The confirmation judging unit 12 refers to the stored preconditions and judges whether or not the acquired violation detection information satisfies the preconditions. The confirmation judging unit 12 may determine that the confirmation probability is not satisfied before the confirmation probability is judged, and if the precondition is not satisfied, the confirmation is regarded as impossible and the process is terminated. These preconditions are appropriately changed according to laws and operations of countries or autonomous bodies introduced into the traffic violation management system 100.
In this way, the certification determining unit 12 collates the certification condition stored in the DB21 with the acquired image, and determines whether it is possible to certify that the subject vehicle included in the image violates the traffic violation.
The certification condition storage section 211 need not be provided in the DB21, but may be provided in other connectable storage devices (semiconductor memory, magnetic recording medium, optical recording medium, etc.).
<2-2. configuration of person specifying means 13 >
Next, the detailed configuration of the human specifying unit 13 will be described with reference to fig. 4.
As shown in fig. 4, the person determining unit 13 can access a Database (DB)23 as a part of the storage unit 15.
The DB23 has a driving license information storage 231 and a car registration number storage 232. The driver license information storage unit 231 stores information such as a face photograph, name, address, date of birth, and the like of the driver license acquirer. The car registration number storage unit 232 stores information such as a car registration number (number plate), a name and an address of a nominal person of the vehicle.
The person specifying unit 13 refers to the driving license information storage unit 231 and the car registration number storage unit 232, and specifies a person (driver, fellow passenger, owner, user (company, etc.)) associated with the regulation vehicle which violates the traffic regulation by checking with the image in the acquired regulation violation detection information.
Specifically, the person specifying unit 13 determines whether or not the face of the driver or the fellow passenger included in the image matches the facial photograph of the license stored in the license information storage unit 231, using, for example, a face authentication technique. In addition, the vehicle number detected from the image is checked against the vehicle information stored in the car registration number storage unit 232, and the owner of the violating vehicle or the like is identified. The person determining unit 13 transmits the determined personal information to the confirmation judging unit 12, and the image used in the person determination is saved in the storage unit 15.
The driver license information storage unit 231 and the car registration number storage unit 232 need not be provided in the DB23, and may be provided in other connectable storage devices (semiconductor memory, magnetic recording medium, optical recording medium, etc.).
<2-3. Structure of importance level determination section 18 >
Next, the detailed configuration of the importance level determination unit 18 will be described with reference to fig. 5.
As shown in fig. 5, the importance determining unit 18 can access a Database (DB)25 that is a part of the storage unit 15.
The DB25 includes a violation fine information storage unit 251 that stores the amount of violation fine for the content (category) of the traffic violation, and a traffic violation information storage unit 252 that stores the traffic violation information generated by the importance determination unit 18.
The importance determining unit 18 checks the contents of the traffic violation with the contents of the traffic violation stored in the violation fine information storage unit 251 and acquires the corresponding violation fine amount when the person specifying unit 13 specifies the person who violates the traffic violation and can be confirmed by the confirmation determining unit 12. Then, the importance determining unit 18 generates traffic violation information in which the amount of the violation fine is associated with the image used by the person specifying unit 13, the image used for the verified determination, the specified person information, and the like for each traffic violation, and stores the traffic violation information in the traffic violation information storage unit 252.
Further, the image stored as the traffic violation information may not be all the images acquired as the violation detection information but may be a part thereof. For example, only the image that meets the verification condition and/or the above-described precondition or the image used by the person specifying unit 13 described later may be stored.
The violation fine information storage unit 251 and the traffic violation information storage unit 252 need not be provided in the DB25, and may be provided in other connectable storage devices (semiconductor memory, magnetic recording medium, optical recording medium, and the like).
<3. display form in display Unit 17 >
In the traffic violation management system 100 of the present embodiment, as described above, the verification determining means 12 and the person specifying means 13 determine whether or not the verification is possible for each traffic violation determination, and store the corresponding image and other incidental information in the storage means 15 so as to be able to output, based on the amount of the violation fine. The display control unit 16 converts the traffic violation information stored in the storage unit 15(DB25) into a predetermined format in accordance with an operation of the input unit 150 or the like, and displays the converted traffic violation information on the display unit 17.
Specifically, as shown in fig. 6 (a) to (c), various information related to traffic violations are displayed on the screen of the display unit 17 such as a liquid crystal display.
The screen 17a in fig. 6 (a) shows an example as follows: the traffic violation information in which the traffic violation management system 100 determines the amount of the violation fine is displayed for each group of the amounts in the predetermined range (40,000 yen or more, 30,000 yen or more and less than 40,000 yen, 20,000 yen or more and less than 30,000 yen, and less than 20,000 yen in the illustrated example). Then, on the screen 17a, the violation fine amounts are displayed in a row from the top in the order of the group from the highest to the lowest. Therefore, the user (police or the like) can select a group of traffic violations having a high violation fine amount, that is, a relatively large traffic violation, by priority while viewing the screen 17 a. In addition, the selection operation is performed through the input unit 150. When the user views the screen 17a and selects a group of interest (here, the group with the highest violation fine), the screen 17b transitions to a screen 17b of fig. 6 (b).
The screen 17b in fig. 6 (b) shows an example of list display of traffic violation information for the group (40,000 yen or more) with the higher violation fine selected in fig. 6 (a). On the screen 17b, main information (date, violation type, name of violator, location, etc.) related to each traffic violation information is displayed. Here, the list of traffic violation information may be displayed in order of date, violation category order, order of the number of the same violator from large to small, and the like. When the user views the screen 17b and selects the traffic violation information of interest, the screen 17b transitions to a screen 17c of fig. 6 (c).
The screen 17c in fig. 6 (c) shows details of the traffic violation information selected in fig. 6 (b). As shown in the figure, the traffic violation information includes, for example, the content (category) of the traffic violation, the place of violation, the name of the violator (at least one of the driver and the owner of the vehicle), the amount of violation fine, the date and time of image capturing, and an image identifying the violation (at least an image identifying a person and a vehicle). As shown in the figure, a traffic violation information is displayed in the screen 17 c.
In the traffic violation management system 100 of the present embodiment, as described above, information (violation content, image for specifying person and vehicle, violation place, image pickup date and time, and the like) required for confirming a traffic violation and the determined violation fine amount are stored in the storage unit 15(DB21) in a state in which they are associated with each other. Therefore, these associated information can be displayed on the display unit 17 according to the level of the violation fine. The display according to the level of the violation fine includes, for example, as shown in a screen 17a of fig. 6 (a), displaying the number of traffic violations for each amount in a predetermined range, and displaying the traffic violation information in an ascending order or a descending order of the verification probability.
According to the above display control, the officer who performs the traffic violation monitoring using the present system 100 first confirms the screen 17a shown in fig. 6 (a) and acquires the traffic violation information of the group having the high violation fine. Then, the traffic violation information of interest is further selected on the screen 17b shown in fig. 6 (b), and the details thereof can be confirmed in fig. 6 (c). Therefore, the police officer can start with a case with high violation fine amount and high importance, and can improve the traffic violation monitoring efficiency compared with the prior art.
<4. processing flow of the traffic violation management system 100 >
<4-1. importance level determination processing >
As described below, a specific processing flow when the traffic violation information is generated by determining the importance in the traffic violation management system 100 according to the present embodiment will be described with reference to the flowchart of fig. 7.
The traffic violation management system 100 of the present embodiment implements the following traffic violation management method according to the flowchart shown in fig. 7.
In step S701, the detection information acquisition unit 11 of the traffic violation management system 100 acquires one piece of violation detection information from the violation detection unit 19. As described above, the violation detection information contains the content (category) of the traffic violation, the place where the traffic violation occurred, and the image taken by the camera 10. Traffic violation content (category) is, for example, a traffic violation that can be confirmed using an image, such as a red light running, an overspeed, a no-pass violation, a passing section violation, a no-pass violation, a temporary stop at a specified place, a parking violation, a passing section violation, and the like. When the violation detection information is acquired, the detection information acquisition unit 11 proceeds to step S702.
In step S702, the detection information acquiring unit 11 acquires an image included in the violation detection information, and sends the image to the confirmation judging unit 12, the person specifying unit 13, and the importance judging unit 18.
In step S703, the verification determining unit 12 determines whether or not verification is possible based on the violation detection information including the traffic violation content (category) and the image acquired from the detection information acquiring unit 11. Specifically, the verification determining means 12 accesses the verification condition storage unit 211 of the DB21, determines how much the acquired image satisfies the verification condition, whether the image is equal to or greater than a threshold value, whether a person can be discriminated, and the like, and determines whether verification is possible.
In step S704, the person determination unit 13 determines a person associated with the traffic violation from the acquired image. The person associated with the traffic violation includes the driver, co-worker, owner of the violation vehicle, employer (business, etc.) of the driver of the violation vehicle, etc. The person determination unit 13 determines at least one of the driver and the owner of the violation vehicle among the personal information.
The person specifying unit 13 checks the car number information read from the acquired image with the registration information acquired by accessing the car registration number storage unit 232 of the DB23, and specifies the vehicle information and the owner thereof. The person specifying unit 13 then checks the face information of the driver or the fellow passenger obtained from the obtained image against the face information of the person obtained by accessing the license information storage unit 231 of the DB23, and specifies the driver or the fellow passenger. Then, the person specifying unit 13 outputs the specified information such as the license number, the owner, the driver, and the fellow passenger to the importance determining unit 18. In the case where there are a plurality of specified persons, for example, in the case where the owner is different from the driver or the passenger can be specified in addition to the driver, the respective pieces of information are output to the importance level determination section 18, and the image used for specifying the person is stored in the storage section 15.
If at least one of the driver and the owner can be identified, the process proceeds to step S705, and if the driver and the owner cannot be identified, the process ends.
In step S705, the importance determination unit 18 checks the contents of the traffic violation against the violation fine information stored in the violation fine information storage unit 251 of the DB25, and acquires the corresponding violation fine amount.
In step S706, the importance determining unit 18 generates traffic violation information in which the violation fine amount is associated with the image used by the person specifying unit 13, the image used for the verification determination, the specified person information, and the like, and stores the traffic violation information in the traffic violation information storage unit 252 of the DB 25.
In step S707, the violation fine billing file generation unit 14 detects the address or the like as the destination of the bill from the identified person information, generates a violation fine billing file, and stores the violation fine billing file in the storage unit 15.
<4-2 > display control processing >
Next, a traffic violation information display control process of the traffic violation management system 100 according to the present embodiment will be described with reference to fig. 8.
In step S801, the display control unit 16 of the traffic violation management system 100 causes the display unit 17 to display the screen 17a ((a) of fig. 6) in response to an input operation of the input unit 150 (fig. 2) by a user (an officer or the like performing supervision). The user views the screen 17a and determines the group to be selected based on the importance (the amount of the violation penalty).
In step S802, the user selects a group of "1.40,000 yen or more", for example, from the screen 17a via the input unit 150.
In step S803, the display control unit 16 causes the screen of the display unit 17 to transition from the screen 17a to the screen 17b in accordance with the input operation of the input unit 150 in step S803 ((b) of fig. 6). The screen 17b displays a list of traffic violation information determined by the importance determination unit 18 that the violation fine is 40,000 yen or more. The user views the screen 17b to determine the traffic violation information of interest.
In step S804, the user selects one piece of traffic violation information of interest from the screen 17b via the input unit 150.
In step S805, the display control unit 16 causes the screen of the display unit 17 to transition from the screen 17b to the screen 17c in accordance with the input operation of the input unit 150 in step S804 ((c) of fig. 6). The screen 17c displays details of the selected traffic violation information. The user views the screen 17c, confirms the contents of the traffic violation, and finally determines whether to notify the violator (including whether to charge a violation fine).
In step S806, when the user notifies the violator of the traffic violation displayed on the screen 17c, the user performs an input operation (selects a button on the screen or the like) via the input unit 150, and the process proceeds to step S807. If not notified, the flow proceeds to step S808.
In step S807, in the case where the traffic violation is notified to the violator, the violation fine bill file is outputted (displayed, printed, or the like) in accordance with an input operation or the like.
In step S808, the display control unit 16 ends the processing when there is an operation to end the screen via the input unit 150, and returns to the designated screen when returning to another screen (step S809).
<5. Effect and the like >
As described above, in the traffic violation management system 100 and the traffic violation management method executed by the system according to the present embodiment, the violation fine amount is determined and stored in association with information (violation content, identification image, other information, and the like) required for verifying a traffic violation, according to whether or not each detected traffic violation determination can be verified. Further, according to the traffic violation management system 100 and the traffic violation management method of the present embodiment, it is possible to extract and display the information according to the amount of the violation fine. Thus, in the police station or the like, information relating to a traffic violation having a high importance level among the traffic violations can be extracted. Thus, police officers and the like can confirm the violation cases with high importance and ask for violation fine and the like, and therefore the efficiency of policemen and the like for supervising traffic violations can be greatly improved compared with the prior art.
<6. modified example >
As shown in fig. 9, the traffic violation management system 100 of the above embodiment may also include a total amount calculation unit 31 (an example of a total amount calculation unit) and a total amount storage unit 32.
When the same person is associated with a plurality of pieces of traffic violation information in the storage unit 15 (the traffic violation information storage unit 252 of the DB25), the total amount calculation unit 31 calculates the total amount of the violation fines for a plurality of traffic violations. The total amount calculating means 31 also stores the calculated total amount in the total amount storage unit 32 in association with the corresponding personal information.
The total amount storage unit 32 is provided in the storage unit 15 and stores the information of the person, the number of violations of the person, and the total amount of violation fines for the person in association with each other. Further, when a new violation is detected for a person already stored in the storage unit 15 and information on the content of the new violation is stored in the storage unit 15, the total amount calculation unit 31 recalculates the total amount of the violation penalty for the person. Then, the information of the total amount stored in the total amount storage unit 32 is updated for the person.
The display control unit 16 causes the display unit 17 to display the information of the total amount stored in the total amount storage unit 32 in accordance with the selection operation of the user via the input unit 150. The display unit 17 displays, for example, a screen 17d shown in fig. 10. On the screen 17d, a plurality of pieces of traffic violation information are displayed for the selected violator. In addition, in the case of only one violation, only one traffic violation information is displayed. The display control unit 16 displays the personal information such as the name of the violator, the number of violations, the total amount of the violation fine, and the contents of the plurality of violations on the screen 17 d.
Therefore, the officer or the like can extract and display not only the person who violates a serious traffic violation but also the person who violates a repeated traffic violation. Thus, in the police station or the like, information relating to a traffic violation having a high importance level among the traffic violations can be extracted. Thus, police officers and the like can confirm the violation cases with high importance and ask for violation fine and the like, and therefore the efficiency of policemen and the like for supervising traffic violations can be greatly improved compared with the prior art.
[ other embodiments ]
While one embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the scope of the invention.
(A)
The traffic violation management system 100 may also be implemented by the structure shown in fig. 11, for example.
The traffic violation management system 100 is connected to an external traffic violation monitoring device (violation detection unit 19) via a network N such as the internet, lan (local Area network), wan (wide Area network), or the like. The traffic violation management system 100 is also connected to a storage device 160.
The traffic violation management system 100 is configured by a computer terminal, and includes a cpu (central Processing unit)110, a ram (random Access memory)120, an output unit 130, a communication unit 140, an input unit 150, and the like.
The CPU110 executes various kinds of arithmetic processing and the like, and executes a predetermined control program that is read into the RAM120 and expanded. The control program executes the functions of the respective units (the detection information acquisition unit 11, the confirmation judgment unit 12, the person specification unit 13, the importance judgment unit 18, the violation fine billing file generation unit 14, the display control unit 16, the total amount calculation unit 31, and the like) of the traffic violation management system 100.
RAM120 is composed of a storage element such as sram (static RAM) or dram (dynamic RAM), and stores data and the like generated during processing by CPU 110.
The output unit 130 has a connection terminal to which a cable or the like for transmitting analog signals or digital signals such as images and sounds is connected, and is connected to the display unit 17 via the cable. The output unit 130 converts various information read from the storage device 160 into an image signal in accordance with an instruction from the display control unit 16, and outputs the image signal to the display unit 17 via a cable.
The communication unit 140 has a connection terminal or a wireless communication interface for connecting a communication cable, and is connected to the network N. The communication unit 140 transmits and receives data between the camera 10 and the traffic violation monitoring device (violation detection unit 19) connected to the network N.
The input unit 150 is constituted by a mouse, a keyboard, a touch panel operated on a screen, and the like. The input unit 150 receives information input, menu selection, and the like based on a user operation, and notifies the CPU110 of the received operation content.
The storage device 160 is composed of a semiconductor memory, a magnetic recording medium, an optical recording medium, and the like. The storage unit 15 may be included in the storage device 160, or may be a mass storage device separately connected thereto. The storage device 160 may be connected to the traffic violation management system 100 via a network.
(B)
In the traffic violation management system 100 of the above embodiment, the violation fine amount is listed as an element for measuring the importance, but the present invention is not limited to this. For example, the type of traffic violation, the habit of the violator, the place of violation, the time period, and the like may be set as the important factors. Here, the peculiarity of the violator is the number of violations that the violator has committed in the past, and may be set as the number of violations within a predetermined period. Aiming at the people who violate the traffic rules repeatedly for more than specified times, the efficiency of supervising the traffic violation by police officers and the like can be improved. Further, as the place of violation, for example, a place on the school, near the hospital, where there are many pedestrians, an area where traffic accidents occur frequently, and the like can be set as the highly important elements. As the period, for example, a period in which traffic violations are heavily regulated can be set as an element having a high degree of importance.
Degrees (numerical values) may be assigned to the elements of each importance so that management, storage, and output can be performed according to the importance, that is, the degree.
The importance levels can be set and changed via the input unit 150 by an organization supervising traffic violations according to regions, time, and the like.
(C)
In the traffic violation management system 100 of the above embodiment, the confirmation determination unit 12 determines whether or not the traffic violation can be confirmed, but is not limited thereto. The validation decision unit 12 may also calculate the probability of validation. For example, in the case where there are 2 photographs (photographs in which the car number and the face of the driver can be confirmed) of the same violation, the verification probability is calculated as 100%. In the case where 1 violation picture exists for the same violation, the car number is clear, but the driver's forehead or more cannot be photographed, the verification probability is calculated to be 80%. The certification determining unit 12 may also determine whether or not certification is possible based on the certification probability.
(D)
In the traffic violation management system 100 according to the above-described embodiment, after the person information is acquired by the person specifying unit 13, the verification determining unit 12 may determine whether or not verification is possible (steps S703 and S704 in fig. 7 are reversed). If the person specifying means 13 can acquire the personal information, the confirmation determining means 12 determines whether or not the confirmation is possible. If the personal information cannot be acquired, the process ends.
By performing the above-described processing, it is determined whether or not the person can be confirmed only for the violation detection information that can specify the person, and therefore, the efficiency of the determination processing can be improved.
(E)
In the traffic violation management system 100 according to the above-described embodiment, the violation fine bill file generation unit 14 automatically generates the violation fine bill when the importance determination unit 18 determines the violation fine amount, but the present invention is not limited to this. The violation fine billing file may also be generated according to the user's selection operation via the input section 150.
(F)
The traffic violation management system 100 according to the above-described embodiment has been described by taking an example of a configuration including the display unit 17 such as a liquid crystal display. However, the present invention is not limited thereto.
For example, the traffic violation management system of the present invention may be configured as a system not including a display unit such as a liquid crystal display.
In this case, by using a display unit such as a liquid crystal display as an external device, the following effects similar to those described above can be obtained: the traffic violation supervision can be efficiently implemented by a simple structure.
The traffic violation management system 100 may be configured as a system including the display unit 17 instead of the storage unit 15.
(G)
In the above embodiment, the traffic violation management system 100 acquires the violation detection information by the violation detection unit 19 including the camera 10, but is not limited thereto. For example, a report including a portable terminal or a camera image from a general person may be used. In this case, the person may be identified by the person identifying means 13 based on the acquired image or photograph, and the verification determining means 12 may determine whether or not the verification is possible.
(H)
In the above embodiment, the traffic violation management system 100 is exemplified in which whether or not a traffic violation can be verified in a police station or the like is determined using information transmitted from the external violation detection unit 19. However, the present invention is not limited thereto.
For example, the traffic violation management system 100 may also have a violation detection unit. In this case, the traffic violation management system 100 acquires an image from an imaging unit such as a camera, and specifies a traffic violation based on the image. As a method of determining a traffic violation, for example, in the case of red light running, a red light running violation is determined based on information on switching of signal lights at an intersection or the like where a camera is installed. In the case of an overspeed violation, the overspeed violation is identified based on information on the speed limit on the road on which the camera is installed, information such as the camera imaging speed, and the like.
(I)
The traffic violation management system 100 of the above-described embodiment is also capable of detecting/managing traffic violations of various categories. The traffic violation includes, in addition to speeding and red light running, passing prohibition/turning-around prohibition violation, passing section violation, retrograde motion, passing violation, temporary stopping in a specified place, placing parking violation, passing road section violation, passing bus and other priority passing road section violation, no-keeping distance, no-lighting, use of mobile phone and the like.
(J)
In the traffic violation management system 100, the DB21, 23, and 25 may be constituted by a single database. The DB21, 23, 25 may be included in the traffic violation management system 100 as part of the traffic violation management system 100, or may be included in another system and provided to be accessible to the traffic violation management system 100.
(K)
The execution order of the processing method executed by the traffic violation management system 100 is not necessarily limited to the description of the above embodiment, and the execution order may be reversed without departing from the scope of the invention.
A traffic violation management method, which is a processing method executed by the traffic violation management system 100, a computer program for causing a computer to execute the method, and a computer-readable recording medium having the program recorded thereon are included in the scope of the present invention. Examples of the computer-readable recording medium include a floppy disk, a hard disk, a CD-ROM, an MO, a DVD-ROM, a DVD-RAM, a BD (Blu-ray Disc), and a semiconductor memory. The computer program is not limited to being recorded on the recording medium, and may be transmitted via an electric communication line, a wireless or wired communication line, a network typified by the internet, or the like.
Industrial applicability
The traffic violation management system and method of the present invention exert the effect of being able to efficiently detect/manage information related to the supervision of traffic violations. This is expected to be widely used as a traffic violation management system used in countries and regions.
Description of the reference symbols
10: a camera (image pickup unit); 11: a detection information acquisition unit; 12: a confirmation judging unit; 13: a person determination unit; 14: a violation fine bill file generation unit; 15: a storage unit; 16: a display control unit; 17: a display unit; 17a to 17 c: displaying a picture; 17 d: displaying a picture; 18: an importance determination unit; 19: a violation detection unit; 21: DB (database); 23: DB (database); 31: a total amount calculation unit; 32: a total amount storage unit; 100: a traffic violation management system; 101: a signal lamp; 101 a: a pillar; 102: a special strut; 110: a CPU; 120: a RAM; 140: a communication unit; 150: an input section; 160: a storage device; 211: a confirmation condition storage section; 231: a driving license information storage unit; 232: a car registration number storage unit; 251: violation fine information storage unit; 252: and a traffic violation information storage unit.

Claims (10)

1. A traffic violation management system, the traffic violation management system comprising:
an image acquisition unit that acquires an image of the traffic violation captured by the imaging unit;
a person specifying unit that specifies at least two persons among a driver, an owner, and a fellow passenger of the vehicle in which the traffic violation is detected, based on the acquired image;
a confirmation determination unit that determines whether the traffic violation can be confirmed based on at least the acquired image;
an importance determination unit that determines an importance of the traffic violation when the at least two persons are specified and it is determined that the traffic violation can be confirmed; and
and a storage unit that stores traffic violation information in which at least the importance, the information on the identified person, the image used by the verification determination unit, and the image used by the person identification unit are associated with each other for each traffic violation.
2. The traffic violation management system of claim 1 wherein,
the importance determination unit determines the importance according to the amount of the violation fine collected for the traffic violation.
3. The traffic violation management system of claim 1 or 2, wherein,
the traffic violation management system is also provided with a display control unit which displays the traffic violation information on the picture of the display unit according to the sequence corresponding to the importance degree.
4. The traffic violation management system of claim 3 wherein,
the traffic violation management system further has a total amount calculation unit that calculates a total amount of violation fines of the plurality of pieces of traffic violation information stored for the determined person,
and the display control unit associates the total amount, the determined person and the plurality of pieces of traffic violation information and displays the associated information on a picture of the display unit.
5. The traffic violation management system of claim 3 wherein,
the traffic violation management system further comprises an input unit for accepting an input operation,
and the display control unit extracts traffic violation information according to the amount of the violation fine and displays the traffic violation information on the picture of the display unit.
6. The traffic violation management system of claim 5 wherein,
and the display control unit extracts a plurality of traffic violation information according to the total amount of the violation fine and displays the information on the display unit according to each determined person.
7. The traffic violation management system of claim 1 or 2, wherein,
the camera unit is a camera that photographs a road,
detecting the traffic violation from the image of the camera.
8. The traffic violation management system of claim 1 or 2, wherein,
the traffic violation management system is also provided with a violation fine bill file generation unit which generates a bill file of the violation fine,
and the violation fine bill file generation unit associates the generated violation fine bill file with the traffic violation information and stores the violation fine bill file and the traffic violation information in the storage unit.
9. A traffic violation management system, the traffic violation management system comprising:
an image acquisition unit that acquires an image of the traffic violation captured by the imaging unit;
a person specifying unit that specifies at least two persons among a driver, an owner, and a fellow passenger of the vehicle in which the traffic violation is detected, based on the acquired image;
a confirmation determination unit that determines whether the traffic violation can be confirmed based on at least the acquired image;
an importance determination unit that determines an importance of the traffic violation when the at least two persons are specified and it is determined that the traffic violation can be confirmed; and
and a display control unit that displays on a screen traffic violation information in which at least the importance, the information on the specified person, the image used by the confirmation judgment unit, and the image used by the person specification unit are associated with each other for each traffic violation in an order corresponding to the importance.
10. A traffic violation management method comprises the following steps:
an image acquisition step of acquiring an image of the traffic violation captured by the imaging means;
a person determination step of determining at least two persons among a driver, an owner, and a fellow passenger of the vehicle in which the traffic violation is detected, based on the acquired image;
a confirmation determination step of determining whether the traffic violation can be confirmed based on at least the acquired image;
an importance determination step of determining the importance of the traffic violation in a case where the at least two persons are specified and it is determined that the traffic violation can be confirmed; and
and a storage step of storing traffic violation information in which at least the importance, the information on the specified person, the image used by the verification determination unit, and the image used by the person specification unit are associated with each other for each traffic violation.
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