WO2016113978A1 - Traffic violation management system and traffic violation management method - Google Patents

Abstract

A traffic violation management system (100) that is provided with a detection information acquisition means (11), a person specification means (13), a verification determination means (12), a severity determination means (18), and a storage means (15). The detection information acquisition means (11) acquires images that are captured by an imaging means of the time of a traffic violation. The person specification means (13) specifies, from the acquired images, at least one person from among the driver, the owner, and a passenger of the vehicle for which the traffic violation was detected. The verification determination means (12) determines, from at least the acquired images, whether the traffic violation can be verified. When it has been determined that a traffic violation for which at least one person has been specified can be verified, the severity determination means (18) determines the severity of the traffic violation. For each traffic violation, the storage means (15) saves traffic violation information that associates severity, information on specified person(s), the image(s) used by the verification determination means (12), and the image(s) used by the person specification means (13).

Description

Traffic violation management system and traffic violation management method

The present invention relates to a traffic violation management system and a traffic violation management method for managing information related to traffic violations using an image captured by an imaging means such as a camera.

2. Description of the Related Art Conventionally, a vehicle recognition device that discriminates a vehicle, a driver, and the like using a captured image of a vehicle captured by an imaging device such as a camera has been proposed. Such a vehicle recognition device is considered to be effective for traffic violation control, accident response, criminal investigation (finding of a vehicle used for crime), and the like.
For example, Patent Document 1 discloses a violation vehicle notification system that transmits vehicle situation analysis information including an image obtained by imaging a violation vehicle including a license plate with a mobile terminal and a corresponding automobile registration number to a control server. . In the violating vehicle notification system, an automobile registration number is obtained by analyzing an image obtained by a portable terminal, and the automatic registration number is transmitted to a control server as vehicle state analysis information and stored. For this reason, it is not necessary to transfer large-capacity image information from the mobile terminal to the control server, and the amount of data is minimized.

However, the above conventional configuration has the following problems.
That is, in the system disclosed in Patent Document 1, only a vehicle registration number, which is vehicle state analysis information, is automatically acquired based on an image taken by a general reporter with his / her mobile terminal and transmitted to a control server. is doing. For this reason, there is a possibility of reporting based on an image of a vehicle that has not actually been violated or an image that cannot be sufficiently verified even if it is violated. In this case, the number of traffic violations that must be confirmed by the police becomes enormous and the processing burden on the police is large. Also, the data that the police must check may contain data that is insufficient to establish traffic violations.

JP 2006-119767 A

An object of the present invention is to provide a traffic violation management system and a traffic violation management method capable of efficiently managing information necessary for traffic violation control.
(Means for solving the problem)
The traffic violation management system according to the first invention comprises image acquisition means, person identification means, verification determination means, importance determination means, and storage means. The image acquisition means acquires an image at the time of traffic violation imaged by the imaging means. The person specifying means specifies at least one person among a driver, an owner, and a passenger of the vehicle in which the traffic violation is detected from the acquired image. The verification determination unit determines whether or not the traffic violation can be verified from at least the acquired image. The importance level determination means determines the importance level of the traffic violation when at least one person is identified and it is determined that the traffic violation can be verified. The storage unit stores, for each traffic violation, traffic violation information that associates the importance, the identified person information, the image used by the verification determination unit, and the image used by the person identification unit.

The traffic violation management system determines the importance of the traffic violation if the person identification means identifies the person who violated the image and the verification determination means determines that the verification is possible based on the image where the traffic violation is detected. The image is stored in association with the image used for verification. That is, in this traffic violation management system, not only the information required for verification but also its importance is stored in association with each other. Therefore, it is possible to efficiently manage information necessary for traffic violation control. For this reason, police officers who control traffic violations can preferentially extract traffic violation information with high importance, for example.

The traffic violation management system according to the second invention is the traffic violation management system according to the first invention, wherein the importance level judging means determines the importance level according to the amount of the breach imposed on the traffic violation. judge.
Here, since the importance is determined according to the amount of the breach charged for the traffic breach, it is possible to extract information relating to a large breach, that is, a serious traffic breach. Therefore, it is possible to efficiently manage information necessary for traffic violation control. For this reason, a police officer or the like who controls traffic violations can preferentially acquire and confirm information on serious traffic violations, for example.

A traffic violation management system according to a third invention is the traffic violation management system according to the first or second invention, wherein the traffic violation information is displayed on the screen of the display means in the order according to the importance. Means are further provided.
Here, since the traffic violation information including images is displayed in the order according to the importance, it is possible to efficiently acquire information necessary for traffic violation control.

A traffic violation management system according to a fourth invention is the traffic violation management system according to the third invention, and calculates a total amount of violation charges of a plurality of traffic violation information stored for a specified person. The display unit further includes a total amount calculation unit, and the display control unit displays the total amount, the identified person, and a plurality of traffic violation information in association with each other on the display unit screen.
Here, it is possible to calculate the total amount of violation money for the specified person, and display a plurality of traffic violation information committed by the person and the total amount of the violation money in association with each other. For this reason, a plurality of police officers or the like can extract and display not only the person who committed a serious traffic violation but also the person who repeats the traffic violation. As a result, it is possible to display information of high importance among traffic violations.

A traffic violation management system according to a fifth aspect of the present invention is the traffic violation management system according to the third or fourth aspect of the present invention, further comprising an input unit for accepting an input operation, and the display control means according to the amount of the violation fee The traffic violation information is extracted and displayed on the display means screen.
Here, the traffic violation information corresponding to the amount of the violation money can be extracted by the search function and displayed on the display means. For this reason, police officers who control traffic violations can check traffic violation information according to the severity of traffic violations (the amount of the violations), and can handle traffic violations efficiently. .

A traffic violation management system according to a sixth invention is the traffic violation management system according to the fifth invention, wherein the display control means extracts a plurality of traffic violation information according to the total amount of the violation money, Each identified person is displayed on the display means.
Here, for each identified person, a plurality of traffic violation information can be extracted according to the total amount of the violation money and displayed on the display means. For this reason, a police officer or the like can extract a person who repeats a traffic violation and display it on the screen, and can efficiently handle the traffic violation.

A traffic violation management system according to a seventh invention is the traffic violation management system according to any one of the first or second invention, wherein the imaging means is a camera that images a road, and the traffic violation is a camera Detected by image.
Here, since it is determined whether the traffic violation can be verified by the camera image, the certainty of the verification can be improved.

A traffic violation management system according to an eighth aspect of the present invention is the traffic violation management system according to any one of the first or second aspects, further comprising a violation fee claim document preparation means for preparing a claim document for a violation fee. The breach money claim document preparation means stores the created breach money claim document in the storage means in association with traffic violation information.
Here, since the traffic violation information is further stored in association with the violation billing document, a police officer or the like who controls the traffic violation can process the traffic violation more efficiently.

The traffic violation management system according to the ninth invention comprises image acquisition means, person identification means, verification determination means, importance determination means, and display control means. The image acquisition means acquires an image at the time of traffic violation imaged by the imaging means. The person specifying means specifies at least one person among a driver, an owner, and a passenger of the vehicle in which the traffic violation is detected from the acquired image. The verification determination unit determines whether or not the traffic violation can be verified from at least the acquired image. The importance level determination means determines the importance level of the traffic violation when at least one person is identified and it is determined that the traffic violation can be verified. The display control means includes traffic violation information that associates at least the importance, the information of the specified person, the image used by the verification determination means, and the image used by the person specification means for each traffic violation. Display on the screen in order according to importance.

Here, based on the image where the traffic violation is detected, if the person identifying means identifies the person who has violated and the verification determining means determines that the verification is possible, the importance of the traffic violation is determined and verified. Display in association with the image to be used. That is, in this traffic violation management system, not only the information required for verification but also its importance is displayed in association with each other. Therefore, information necessary to control traffic violations can be managed efficiently. For example, police officers who control traffic violations can preferentially obtain traffic violation information with high importance and check it on the screen. it can.

The traffic violation management method according to the tenth invention includes an image acquisition step, a person identification step, a verification determination step, an importance determination step, and a storage step. In the image acquisition step, an image at the time of traffic violation imaged by the imaging means is acquired. In the person specifying step, at least one of the driver, owner, and passenger of the vehicle in which the traffic violation is detected is specified from the acquired image. In the verification determination step, it is determined from at least the acquired image whether the traffic violation can be verified. In the importance determination step, when it is determined that at least one person is identified and the traffic violation can be verified, the importance of the traffic violation is determined. In the storage step, traffic violation information that associates at least the importance, the information of the identified person, the image used in the verification determination step, and the image used in the person identification step is obtained for each traffic violation. save.

This traffic violation management method determines the importance of the traffic violation if the person identification means identifies the person who has violated and the verification determination means determines that the verification is possible based on the image where the traffic violation is detected. The image is stored in association with the image used for verification. That is, in this traffic violation management method, not only the information required for verification but also its importance is stored in association with each other. Therefore, it is possible to efficiently manage information necessary for traffic violation control. For this reason, police officers who control traffic violations can preferentially extract traffic violation information with high importance, for example.
(The invention's effect)
According to the traffic violation management system and the traffic violation management method according to the present invention, it is possible to efficiently manage information necessary for traffic violation control.

(A) And (b) is a figure which shows the example of installation of the camera which supplies the image imaged with respect to the traffic violation management system which concerns on one Embodiment of this invention. The block diagram which shows the whole structure of the traffic violation management system which concerns on this embodiment. The block diagram which shows the structure of the verification determination means contained in the traffic violation management system of FIG. The block diagram which shows the structure of the person specific means contained in the traffic violation management system of FIG. The block diagram which shows the structure of the importance determination means contained in the traffic violation management system of FIG. (A)-(c) is a figure which shows an example of the display switching of the display screen of the display means contained in the traffic violation management system of FIG. The flowchart which shows the flow of the importance determination process by the traffic violation management method system of FIG. The flowchart which shows the flow of the display control processing by the traffic violation management method system of FIG. The block diagram which shows the structural example of the traffic violation management system which concerns on a modification. The figure which shows the example of a screen of the display means contained in the traffic violation management system which concerns on the said modification. The figure which shows the structural example of the traffic violation management system of this invention.

A traffic violation management system 100 according to an embodiment of the present invention will be described below with reference to FIGS.
<1. Overview of Traffic Violation Management System 100>
The traffic violation management system 100 according to the present embodiment acquires violation detection information (including traffic violation contents, location, and images) acquired by a connected traffic violation control device, and based on the violation detection information, traffic Judge whether the violation can be proved, and manage traffic violation information according to the importance.

The traffic violation management system 100 is installed, for example, in a police station that controls traffic violations. In the police station, when the occurrence of a traffic violation is detected in the system 100, a police officer or the like determines whether or not the traffic violation is subject to control while checking an extracted image as will be described later. That is, the traffic violation management system 100 is utilized as a system for supporting police officers and the like so that they can efficiently handle traffic violations. When actually used, a police officer or the like uses a PC or the like connected to the system 100 to process traffic violations while checking the display screen of the PC one by one. As the input means, a mouse, a keyboard, a touch panel or the like is used.

The traffic violation management system 100 is connected to a predetermined traffic violation control device (for example, an automatic speed violation control device, an automobile number automatic reading device, an automatic signal ignore control device, etc.). The traffic violation control apparatus includes a camera as an imaging unit and supplies an image to the traffic violation management system 100.
The camera is, for example, a camera 10 installed at a predetermined position at an intersection as shown in FIG. The camera 10 captures an image including an installed road and a vehicle that travels on the road. And the camera 10 transmits the imaged image with respect to the traffic violation management system 100 so that it may mention later.

For example, in order to identify traffic violations and persons using acquired images, the camera 10 is installed at the front of a vehicle moving within an intersection and at a position where a driver can take a photograph. As the installation position, for example, as shown in FIG. 1A and FIG. 1B, it may be installed on a column (reverse U-shaped, L-shaped) 102 or the like provided exclusively for the camera 10. It may be attached to existing equipment such as traffic lights, street lights, pedestrian bridges, signs, etc.
As shown in the figure, it is not necessary to install the camera 10 for each lane. One camera may be provided for a plurality of lanes, or a plurality of cameras 10 may be set for one lane.

<2. Configuration of the Traffic Violation Management System 100>
The traffic violation management system 100 according to the present embodiment acquires an image (including a photograph and a video) captured when a traffic violation is detected. Furthermore, the traffic violation management system 100 determines whether traffic violations can be verified from the acquired images, identifies the violator, and automatically organizes, stores, and displays information according to the importance of the traffic violation. In order to improve the efficiency of traffic violation enforcement by police officers. In this case, the violator is a person who is determined based on the laws and regulations prescribed in each country, such as the driver of the vehicle, the passenger, the owner of the vehicle, etc. Also good.

In particular, in the present system 100, information on traffic violations is managed based on the amount of non-compliance money (foul money) which is an element for measuring the importance of traffic violations. Traffic violations with high breaches are more dangerous, more likely to lead to accidents, and are serious. By managing information related to traffic violations according to such importance, the efficiency of traffic violation control can be improved.

In the present embodiment, the detected traffic violation content (type) is a traffic violation that can be verified using an image. For example, signal ignorance, overspeed, prohibition of traffic violation, violation of traffic classification, prohibition of overtaking This includes violations, temporary suspension of designated locations, neglected parking violations, traffic zone violations, etc.
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 verification determination unit 12 (an example of a verification determination unit), and a person identification unit 13 (a person identification unit). An example), an importance level determination unit (an example of an importance level determination unit), an infringement fee claim document creation unit 14 (an example of a violation amount claim document creation unit), a storage unit 15 (an example of a storage unit), and a display control unit 16 (an example of display control means) and a display means 17 (an example of display means). 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 detection means 19 is a traffic violation control apparatus such as an automatic speed violation control apparatus, an automobile number automatic reading apparatus, and an automatic signal ignore control apparatus, and includes a camera 10 (an example of an image pickup means) as an image pickup means. When a traffic violation is detected by these devices, the camera 10 captures the license plate and driver of the target vehicle and generates an image. Here, the automatic speed violation control apparatus includes, for example, a radar type and a loop coil type, and may use a known technique.

The traffic violation management system 100 may be connected to the violation detection means 19 belonging to another system.
The detection information acquisition unit 11 acquires violation detection information from the violation detection unit 19. The violation detection information includes the content (type) of the traffic violation, the location where the traffic violation has occurred, and the image captured by the camera 10 (an image of a violation vehicle or a person). The detection information acquisition unit 11 transmits the acquired image to the verification determination unit 12, the person identification unit 13, and the importance level determination unit 18.

The detection information acquisition unit 11 may include a storage unit (not shown) that temporarily stores the acquired violation detection information (including image data). In this case, the processing by the system 100 may be started after adjusting the reception time interval and data amount of the violation detection information.
The verification determination means 12 determines whether or not sufficient information for verifying the traffic violation is available from the content of the traffic violation and information such as one or a plurality of images including the violating vehicle. Determine. More specifically, based on the content of the traffic violation acquired and the content and clarity of the image of the traffic violation, it is determined whether there are images that can be used as evidence to prove the traffic violation. Judge whether verification is possible. The content of the image is, for example, when all faces of a person are included, all license plates are included, a person's face and license plate are included in one image, or not all Whether it is included to the extent. In addition to the contents of each image, whether or not the verification is possible is determined from the number of photographs taken of the same violation. The detailed processing contents of the verification determination unit 12 will be described in detail later with reference to FIG.

Person specifying means 13 specifies a person related to a violation vehicle or a traffic violation. The person related to the traffic violation includes a driver of the offending vehicle, a passenger, an owner, an employer (a company, etc.) of the driver of the offending vehicle, and the like. The person specifying unit 13 inquires the vehicle number information read from the image received from the detection information acquiring unit 11 and the registered information stored in advance, specifies the owner of the vehicle, and outputs it as person information. In addition, the person identification means 13 uses a known face authentication technique to collate the driver's or passenger's face detected from the image with the photo information of the license held in advance, and violates the driver or passenger. Is identified. Detailed processing contents when the person specifying means 13 specifies a person related to the traffic violation will be described in detail later with reference to FIG.

The importance level determination means 18 determines that the verification can be verified by the verification determination means 12, and refers to information on the breach money stored in advance when the person identification means 13 can identify the person, Determine the amount of the breach. Then, the importance level determination means, for each traffic violation, the traffic violation that associates the determined violation amount with the image used by the person specifying means 13, the image used for the verification determination, and the specified personal information. Information is generated and stored in the storage unit 15. The detailed processing contents when the importance level determination means 18 determines the breach money amount will be described in detail later with reference to FIG.

The breach money claim document creation means 14 creates a breach bill for each traffic breach. More specifically, the breach money claim document creation means 14 creates a breach money claim document in response to the determination of the amount of the breach money by the importance determination means 18. Based on the person information specified by the traffic violation by the person specifying unit 13, the violation request document preparation unit 14 detects an address or the like to which the invoice is sent, and generates a violation request document.

The storage unit 15 stores the traffic violation information generated by the verification determination unit 12. The storage means 15 is, for example, a magnetic recording device, a semiconductor memory, or the like.
The display control means 16 controls the display means 17 so that the traffic violation information stored in the storage means 15 is displayed in the order of the group in which the violation money amount is high.
The display means 17 is a display device such as a liquid crystal display, for example, and displays the traffic violation information stored in the storage means 15 in the order corresponding to the amount of the violation money. The display mode on the display screen of the display unit 17 will be described in detail later with reference to FIGS.

The input unit 150 includes a mouse, a keyboard, a touch panel and the like connected to the traffic violation management system 100 and is operated by a user (a police officer or the like). In accordance with the operation of the input unit 150, functions by the display control means 16 and the like are executed.

<2-1. Configuration of Verification Determination Unit 12>
The verification determination unit 12 will be described below with reference to FIG.
As shown in FIG. 3, the verification determination unit 12 can access a database (DB) 21 that is a part of the storage unit 15.
The DB 21 includes a verification condition storage unit 211 that stores information (validation conditions) regarding conditions (including image conditions that can be used for verification) for verifying traffic violations.
Here, the verification conditions include, for example, condition items such as the number of photographs and images taken of the violating vehicle or a person, the image quality, the content, and the sharpness, and a threshold value is set for each condition item as a reference for verification possibility To do.

The verification determination unit 12 refers to the verification conditions stored in the verification condition storage unit 211, how much these condition items are satisfied, for example, whether or not the threshold is equal to or greater than a threshold, whether a person can be determined, etc. Determine. For example, for the same violation, if two photos are required to prove the violation, and there are two photos, one that can confirm the vehicle number at the time of the violation and the other that can confirm the driver's face, it is determined that it can be verified. . Also, for example, if only one photo is allowed to prove the violation for the same violation, there is one photo at the time of the violation and the car number is clear, but the top of the driver's forehead could be taken. Even if it is not, it is determined that it can be verified if the driver can be identified as described later.

For example, in the case of discriminating the driver, it is conceivable that the driver's face in the image is clear and can be sufficiently matched with the face photo of the license. In addition, when determining the owner of a vehicle, it is conceivable that the vehicle number of the violating vehicle in the image is clear and sufficiently readable.
The above-mentioned verification conditions are stored in advance based on the conditions necessary for verification according to the laws, regulations, operations, etc. of national and local governments. For example, an identifiable violation vehicle and driver must be included in a single image. When multiple images are combined, the identifiable violation vehicle and person can be verified in each image. In order to prove traffic violations, there must be at least two photographs of a person. In addition, if the country controls the driver, a condition that specifies only the driver (whether there is a driver's image or photo) is set, and the country controls the vehicle only. For example, a condition for specifying only the vehicle number is set. Such preconditions are stored in advance in the DB 21 or the like. The verification determination unit 12 refers to the stored precondition and determines whether the acquired violation detection information satisfies the precondition. If the precondition is not satisfied before the verification probability is determined, the verification determination unit 12 may terminate the process as a verification impossible. These preconditions are appropriately changed based on the laws and operations of the country or local government where the traffic violation management system 100 is introduced.

In this way, the verification determination unit 12 compares the verification conditions stored in the DB 21 with the acquired image, and determines whether or not it is possible to verify that the target vehicle included in the image has committed a traffic violation. To do.
The verification condition storage unit 211 need not be provided in the DB 21 and may be provided in another connectable storage device (semiconductor memory, magnetic recording medium, optical recording medium, or the like).

<2-2. Configuration of Person Identification Unit 13>
A detailed configuration of the person specifying means 13 will be described below with reference to FIG.
As shown in FIG. 4, the person specifying unit 13 can access a database (DB) 23 that is a part of the storage unit 15.
The DB 23 includes a license information storage unit 231 and an automobile registration number storage unit 232. The license information storage unit 231 stores information such as the face photograph, name, address, date of birth, etc. of the driver license holder. The automobile registration number storage unit 232 stores information such as an automobile registration number (number plate), the name of a vehicle owner, and an address.

The person specifying means 13 refers to the license information storage unit 231 and the automobile registration number storage unit 232, and collates with the image in the acquired violation detection information, so that the person (driver) , Passengers, owners, users (businesses, etc.).
Specifically, for example, the person specifying unit 13 matches the face of the driver or passenger included in the image with the face photo of the license stored in the license information storage unit 231 using the face authentication technology. Determine whether to do. In addition, the vehicle number detected from the image and the vehicle information stored in the automobile registration number storage unit 232 are collated, and the owner or the like of the violating vehicle specifies. The person specifying unit 13 transmits the specified person information to the verification determining unit 12 and stores the image used for specifying the person in the storage unit 15.

The license information storage unit 231 and the automobile registration number storage unit 232 do not have to be provided in the DB 23, and may be provided in another connectable storage device (semiconductor memory, magnetic recording medium, optical recording medium, etc.). .

<2-3. Configuration of Importance Determining Unit 18>
A detailed configuration of the importance level determination unit 18 will be described below with reference to FIG.
As shown in FIG. 5, the importance level determination unit 18 can access a database (DB) 25 that is a part of the storage unit 15.
The DB 25 includes a violation money information storage unit 51 that stores the amount of the violation money for the traffic violation content (type), and a traffic violation information storage unit 252 that stores the traffic violation information generated by the importance level determination means 18. .

The importance level determination unit 18 determines that the traffic violation is verified by the verification determination unit 12 and the person specifying unit 13 specifies the violated person and stores the content of the traffic violation and the violation information storage unit 251. The content of the traffic violation that has been made is collated, and the amount of the corresponding violation is obtained. Then, the importance level determination means 18 associates the amount of the breach money with the image used by the person specifying means 13, the image used for determination of verification, the specified personal information, etc. for each traffic violation. Information is generated and stored in the traffic violation information storage unit 252.

Note that the image stored as traffic violation information may not be all the images acquired as violation detection information, or may be a part thereof. For example, only an image that matches the verification condition and / or the above preconditions, or an image that is used by the person specifying means 13 described later may be stored.
The violation information storage unit 251 and the traffic violation information storage unit 252 do not have to be provided in the DB 25, and may be provided in another connectable storage device (semiconductor memory, magnetic recording medium, optical recording medium, etc.). .

<3. Display Mode in Display Unit 17>
In the traffic violation management system 100 of the present embodiment, as described above, the verification determination unit 12 and the person identification unit 13 determine whether verification is possible for each traffic violation, and the corresponding image and other accompanying information are used as the amount of the violation fee. In response, the data is stored in the storage means 15 so that it can be output. The display control means 16 converts the traffic violation information stored in the storage means 15 (DB 25) into a predetermined format and displays it on the display means 17 in accordance with an operation by the input unit 150 or the like.

Specifically, as shown in FIGS. 6A to 6C, various information regarding traffic violations are displayed on the screen of the display means 17 such as a liquid crystal display.
The screen 17a in FIG. 6A displays traffic violation information for which the amount of the breach money has been determined by the traffic breach management system 100 for each group of amounts within a predetermined range (in the illustrated example, 40,000 yen or more, 30, 000 yen to less than 40,000 yen, 20,000 yen to less than 30,000 yen, less than 20,000 yen). In addition, on the screen 17a, the amount of violation money is displayed in order from the top in order of group. For this reason, the user (a police officer or the like) can preferentially select a group having a high traffic fee, that is, a relatively serious traffic violation, by looking at the screen 17a. The selection operation is performed by the input unit 150. When the user looks at the screen 17a and selects a group of interest (here, the group with the highest violation money), the screen 17b transitions to the screen 17b of FIG. 6B.

The screen 17b of FIG. 6B shows an example in which the traffic violation information of the group (40,000 yen or more) with a high violation fee selected in FIG. 6A is displayed as a list. On the screen 17b, main information (date, violation type, violator name, location, etc.) regarding each traffic violation information is displayed. Here, the list of traffic violation information may be displayed in order of date, order of violation type, order with the same number of violators, etc. When the user views the screen 17b and selects the traffic violation information of interest, the screen 17b transitions to the screen 17c in FIG.

The screen 17c in FIG. 6 (c) shows the detailed contents of the traffic violation information selected in FIG. 6 (b). As shown in the figure, the traffic violation information includes, for example, the content of the traffic violation (type), the location of the violation, the name of the offender (at least one of the driver and the vehicle owner), the amount of the offense, the date and time of image capture, It includes images that identify violations (images that can identify at least people and vehicles). As shown in the figure, one traffic violation information is displayed on the screen 17c.

In the traffic violation management system 100 of the present embodiment, as described above, information necessary to prove one traffic violation (violation content, image for specifying a person and a vehicle, violation location, image capturing date / time, etc.) ) And the determined amount of violation money are stored in a state associated with each other in the storage means 15 (DB21). For this reason, these associated information can be displayed on the display means 17 according to the height of violation money. For example, the number of traffic violations is displayed for each predetermined amount of money as shown in the screen 17a of FIG. 6A, or traffic violation information is displayed in ascending or descending order of the probabilities of probabilities. Or display.

With the above display control, a police officer who controls traffic violations using this system 100 first confirms the screen 17a shown in FIG. 6A, and acquires traffic violation information of a group with a high violation fee. Then, the traffic violation information of further interest can be selected on the screen 17b shown in FIG. 6B, and the details can be confirmed in FIG. 6C. Therefore, the police officer can start from a case with a high amount of violation money and a high importance, and can improve the efficiency of traffic violation control than before.

<4. Flow of processing of traffic violation management system 100>
<4-1. Importance determination processing>
In the traffic violation management system 100 of the present embodiment, a specific processing flow when determining importance and generating traffic violation information will be described below with reference to the flowchart of FIG.

In the traffic violation management system 100 of this embodiment, the following traffic violation management method is implemented according to the flowchart shown in FIG.
In step S <b> 701, the detection information acquisition unit 11 of the traffic violation management system 100 acquires one violation detection information from the violation detection unit 19. The violation detection information includes the content (type) of the traffic violation, the location where the traffic violation has occurred, and the image captured by the camera 10 as described above. Traffic violation details (types) are, for example, verified using images such as signal ignorance, overspeed, traffic prohibition violation, traffic classification violation, overtaking prohibition violation, designated place temporary stoppage, neglected parking violation, traffic zone violation, etc. It is a possible traffic violation. When the violation detection is acquired, the detection information acquisition unit 11 proceeds to step S702.

In step S <b> 702, the detection information acquisition unit 11 acquires an image included in the violation detection information and transmits the image to the verification determination unit 12, the person identification unit 13, and the importance level determination unit 18.
In step S <b> 703, the verification determination unit 12 determines whether or not the verification is possible based on the traffic violation content (type) acquired from the detection information acquisition unit 11 and the violation detection information including the image. Specifically, the verification determination unit 12 accesses the verification condition storage unit 211 of the DB 21 to determine how much the acquired image satisfies the verification condition, whether it is equal to or greater than a threshold, whether a person can be determined, etc. To determine whether the verification is possible.

In step S704, the person specifying unit 13 specifies a person related to the traffic violation from the acquired image. The person related to the traffic violation includes a driver of the violating vehicle, a passenger, an owner, an employer (a company, etc.) of the driver of the violating vehicle, and the like. The person specifying unit 13 specifies at least one of the driver and the owner of the offending vehicle among these pieces of person information.
The person specifying unit 13 compares the vehicle number information read from the acquired image with the registration information acquired by accessing the automobile registration number storage unit 232 of the DB 23, and specifies the vehicle information and its owner. In addition, the person specifying means 13 collates the driver and passenger face information acquired from the acquired image with the face information of the person acquired by accessing the license information storage unit 231 of the DB 23, and Identify passengers. Then, the person specifying means 13 outputs information such as the specified license number, owner, driver, passenger, etc. to the importance level judging means 18. When there are a plurality of identified persons, for example, when the owner and the driver are different, or when the passenger can be identified in addition to the driver, the respective information is output to the importance determination means 18. The image used for the person identification is stored in the storage means 15.

If at least one of the driver and the owner can be specified, the process proceeds to step S705, and if not specified, the process ends.
In step S <b> 705, the importance level determination means 18 collates the content of the traffic violation with the violation money information stored in the violation money information storage unit 251 of the DB 25 and acquires the amount of the corresponding violation money.

In S step S706, the importance level determination means 18 determines the amount of the breach money, the image used by the person specifying means 13, the image used for the verification determination, the specified personal information, etc. for the traffic violation. The associated traffic violation information is generated and stored in the traffic violation information storage unit 252 of the DB 25.
In step S <b> 707, the non-compliance fee billing document creation unit 14 detects an address or the like to which the invoice is sent based on the specified person information, creates a non-compliance fee billing document, and stores it in the storage unit 15.

<4-2. Display control processing>
Next, the traffic violation information display control processing by the traffic violation management system 100 of this embodiment will be described with reference to FIG.
In step S801, the display control means 16 of the traffic violation management system 100 displays the screen 17a (FIG. 6 (a)) according to the input operation of the input unit 150 (FIG. 2) of the user (a police officer or the like who performs the control). It is displayed on the display means 17. The user looks at the screen 17a and determines a group to be selected according to the importance (amount of violation money).

In step S <b> 802, the user selects a group of “1.40,000 yen or more” from the screen 17 a via the input unit 150.
In step S803, the display control unit 16 changes the screen of the display unit 17 from the screen 17a to the screen 17b (FIG. 6B) in accordance with the input operation of the input unit 150 in step S803. The screen 17b displays a list of traffic violation information determined by the importance level determination means 18 that the violation fee is 40,000 yen or more. The user determines the traffic violation information of interest by looking at the screen 17b.

In step S804, the user selects one traffic violation information of interest from the screen 17b via the input unit 150.
In step S805, the display control unit 16 changes the screen of the display unit 17 from the screen 17b to the screen 17c (FIG. 6C) in response to the input operation of the input unit 150 in step S804. The screen 17c displays details of the selected traffic violation information. The user looks at the screen 17c, confirms the content of the traffic violation, and finally decides whether to notify the offender (including whether to charge the offense).

In step S806, when notifying the violator of the traffic violation displayed on the screen 17c, the user performs an input operation (selecting a button on the screen, etc.) via the input unit 150, and proceeds to step S807. . If not notified, the process proceeds to step S808.
In step S807, when a traffic violation is notified to the violator, a violation billing document is output (displayed, printed, etc.) according to an input operation or the like.
In step S808, the display control unit 16 ends the process when there is an operation for closing the screen via the input unit 150, and returns to the designated screen when returning to another screen (step S809).

<5. Effect>
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, it is determined whether the verification is possible for each detected traffic violation, the amount of the violation is determined, and the violation The amount of money and information necessary for verifying the traffic violation (violation content, image for identification, other information, etc.) are stored in association with each other. Furthermore, according to the traffic violation management system 100 and the traffic violation management method of this embodiment, these pieces of information can be extracted and displayed according to the amount of the violation money. Thereby, it is possible to extract information on traffic violations having high importance among traffic violations at a police station or the like. Therefore, since police officers can confirm and claim charges for violations, etc. from violation cases with high importance, the efficiency of the enforcement of traffic violations by police officers and the like can be greatly improved as compared with the past.

<6. Modification>
As shown in FIG. 9, the traffic violation management system 100 according to the embodiment may include a total amount calculation unit 31 (an example of the total amount calculation unit) and a total amount storage unit 32.
The total amount calculation means 31 calculates the total amount of violation charges for a plurality of traffic violations when the same person is associated with a plurality of traffic violation information in the storage means 15 (the traffic violation information storage unit 252 of the DB 25). . The total amount calculation means 31 further associates the calculated total amount with the corresponding person information and stores it in the total amount storage unit 32.

The total amount storage unit 32 is provided in the storage unit 15 and stores information on a person, the number of violations of the person, and the total amount of violation money for the person in association with each other. When a new violation is detected for a person already stored in the storage unit 15 and information on the new violation content is stored in the storage unit 15, the total amount calculation unit 31 Recalculate the total amount of breach for And the information of the total amount memorize | stored in the total amount memory | storage part 32 is updated with respect to the person.

The display control unit 16 causes the display unit 17 to display information on the total amount stored in the total amount storage unit 32 in response to a selection operation via the input unit 150 by the user. The display means 17 displays a screen 17d as shown in FIG. 10, for example. On the screen 17d, a plurality of traffic violation information is displayed for the selected offender. If there is only one violation, only one is displayed. The display control means 16 displays the personal information such as the name of the violator, the number of violations, the total amount of the breach money, and a plurality of violation contents on the screen 17d.

For this reason, police officers and the like can extract and display not only the person who committed a serious traffic violation but also the person who repeats the traffic violation. Thereby, it is possible to extract information on traffic violations having high importance among traffic violations at a police station or the like. Therefore, since police officers can confirm and claim charges for violations, etc. from violation cases with high importance, the efficiency of the enforcement of traffic violations by police officers and the like can be greatly improved as compared with the past.

[Other Embodiments]
As mentioned above, although one Embodiment of this invention was described, this invention is not limited to the said embodiment, A various change is possible in the range which does not deviate from the summary of invention.
(A)
The traffic violation management system 100 may be implemented, for example, with a configuration as shown in FIG.

The traffic violation management system 100 is connected to an external traffic violation control device (violation detection means 19) via a network N such as the Internet, a LAN (Local Area Network), or a WAN (Wide Area Network). The traffic violation management system 100 is also connected to the storage device 160.
The traffic violation management system 100 includes 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 CPU 110 executes various arithmetic processes and the like, and executes a predetermined control program that is read into the RAM 120 and expanded. By this control program, each means of the traffic violation management system 100 (detection information acquisition means 11, verification determination means 12, person identification means 13, importance level determination means 18, violation fee billing document preparation means 14, display control means 16, total The function of the amount calculation means 31 etc. is executed.

The RAM 120 is configured by a memory element such as SRAM (Static RAM) or DRAM (Dynamic RAM), and stores data generated during the processing of the CPU 110.
The output unit 130 has connection terminals for connecting cables or the like for transmitting analog signals or digital signals such as images and sounds, and is connected to the display means 17 described above via these cables. The output unit 130 converts various types of information read from the storage device 160 into image signals in accordance with instructions from the display control unit 16 and outputs the image signals 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 / receives data to / from the traffic violation control device (violation detection unit 19) or the camera 10 connected to the network N.
The input unit 150 is configured by (a mouse, a keyboard, a touch panel operated on a screen, or the like). The input unit 150 accepts input of information by user operation, menu selection, and the like, and notifies the CPU 110 of the accepted operation content.
The storage device 160 includes a semiconductor memory, a magnetic recording medium, an optical recording medium, and the like. The storage means 15 described above may be included in the storage device 160, or may be a separately connected mass storage device. In addition, 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-described embodiment, the amount of violation money is given as an example as an element for measuring importance, but is not limited to this. For example, the type of traffic violation, the addictiveness of the offender, the place of violation, the time, and the like may be set as factors of importance. Here, the addictiveness of the violator is the number of violations the violator has committed in the past, and may be the number of violations within a predetermined period. It is possible to improve the efficiency of traffic violation control by a police officer or the like for a person who repeats traffic violations a predetermined number of times or more. As violation places, for example, school commuting roads, near hospitals, places with many pedestrians, areas with frequent traffic accidents, and the like can be set as highly important elements. As the time, for example, it is possible to set a time when the traffic violation is focused on as a highly important factor.
A frequency (numerical value) may be assigned to each element of importance, and management, storage, and output may be performed according to the importance, that is, the frequency.
These importance levels can be set and changed via the input unit 150 by an organization that controls traffic violations according to the region and time.

(C)
In the traffic violation management system 100 of the above embodiment, the verification determination unit 12 determines whether or not the traffic violation can be verified, but is not limited thereto. The verification determination unit 12 may calculate the probability of verification. For example, for the same violation, if there are two photos at the time of the violation (where the car number and driver's face can be confirmed), the probability of verification is calculated as 100%. For the same violation, if there is one photo at the time of the violation and the car number is clear but the top of the driver's forehead has not been photographed, a probability of 80% is calculated. The verification determination unit 12 may determine whether verification is possible according to the verification probability.

(D)
In the traffic violation management system 100 of the above-described embodiment, after the person specifying unit 13 acquires the person information, the verification determining unit 12 may determine whether the verification is possible (Steps S703 and S704 in FIG. 7 are performed). Replace). When the person information can be acquired by the person specifying unit 13, the verification determining unit 12 determines whether the verification is possible. If the person information cannot be acquired, the process ends.
By performing the processing as described above, it is determined whether or not the verification is possible only for the violation detection information that can identify the person, so that the efficiency of the determination processing can be improved.

(E)
In the traffic violation management system 100 of the above-described embodiment, the violation fee claim document creation means 14 is automatically created when the amount of violation money is determined by the importance determination means 18, but is not limited thereto. A violation charge request document may be created in accordance with a selection operation performed by the user via the input unit 150.

(F)
In the traffic violation management system 100 of the above embodiment, the configuration including the display means 17 such as a liquid crystal display has been described as an example. However, the present invention is not limited to this.
For example, the traffic violation management system of the present invention may be configured as a system that does not include display means such as a liquid crystal display.

In this case, by using a display means such as a liquid crystal display as an external device, it is possible to obtain the same effect as described above that it is possible to efficiently control traffic violations with a simple configuration.
The traffic violation management system 100 may be configured as a system that includes the display unit 17 and does not include the storage unit 15.

(G)
In the above embodiment, the traffic violation management system 100 acquires the violation detection information by the violation detection means 19 including the camera 10, but the present invention is not limited to this. For example, the report may include a mobile terminal or camera image from a general person. Even in this case, it is possible to specify a person from an image, a photograph, or the like acquired by the person specifying unit 13 and to determine whether or not the verification is possible by the verification determining unit 12.

(H)
In the above-described embodiment, the traffic violation management system 100 that uses the information transmitted from the external violation detection means 19 to determine whether or not a traffic violation can be verified at a police station or the like is taken as an example. However, the present invention is not limited to this.
For example, the traffic violation management system 100 may include violation detection means. In this case, the traffic violation management system 100 acquires an image from imaging means such as a camera, and identifies a traffic violation from the image. As a traffic violation specifying method, for example, in the case of ignoring a signal, the signal ignoring violation is specified based on information related to switching of traffic lights at an intersection 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 where the camera is installed, information on the camera imaging speed, and the like.

(I)
The traffic violation management system 100 according to the above embodiment can also detect and manage various types of traffic violations. Such traffic violations include speeding, signal ignorance, traffic prohibition / U-turn prohibition violation, traffic classification violation, reverse running, overtaking prohibition violation, designated place temporary stop, neglected parking violation, traffic zone violation, route bus, etc. Includes traffic zone violations, inability to maintain distances between vehicles, no lights, use of mobile phones, etc.

(J)
In the traffic violation management system 100, the DBs 21, 23, and 25 may be configured by a single database. The DBs 21, 23, and 25 may be included as a part of the traffic violation management system 100, or may be included in another system so that the traffic violation management system 100 is accessible.

(K)
The execution order of the processing methods executed by the traffic violation management system 100 is not necessarily limited to the description of the above embodiment, and the execution order can be changed without departing from the gist of the invention.
Further, a traffic violation management method that is a processing method executed by the traffic violation management system 100, a computer program that causes a computer to execute the method, and a computer-readable recording medium that records the program are included in the scope of the present invention. It is. Here, examples of the computer-readable recording medium include a flexible disk, a hard disk, a CD-ROM, an MO, a DVD, a DVD-ROM, a DVD-RAM, a BD (Blu-ray (registered trademark) Disc), and a semiconductor memory. Can be mentioned. The computer program is not limited to the one recorded on the recording medium, but may be transmitted via an electric communication line, a wireless or wired communication line, a network represented by the Internet, or the like.

The traffic violation management system and method of the present invention has the effect of being able to efficiently detect and manage information related to traffic violation control. Therefore, it is expected to be widely used as a traffic violation management system adopted in countries and regions.

10 Camera (imaging means)
DESCRIPTION OF SYMBOLS 11 Detection information acquisition means 12 Verification determination means 13 Person identification means 14 Violation money claim document preparation means 15 Storage means 16 Display control means 17 Display means 17a-17c Display screen 17d Display screen 18 Importance determination means 19 Violation detection means 21 DB ( Database)
23 DB (database)
31 Total amount calculation means 32 Total amount storage unit 100 Traffic violation management system 101 Traffic light 101a Post 102 Dedicated post 110 CPU
120 RAM
140 Communication Unit 150 Input Unit 160 Storage Device 211 Verification Condition Storage Unit 231 License Information Storage Unit 232 Automobile Registration Number Storage Unit 251 Violation Fee Information Storage Unit 252 Traffic Violation Information Storage Unit

Claims (10)

1. Image acquisition means for acquiring an image at the time of traffic violation imaged by the imaging means;
   A person identifying means for identifying at least one person among a driver and an owner and a passenger of the vehicle in which the traffic violation is detected from the acquired image;
   Verification determination means for determining whether or not the traffic violation can be verified from at least the acquired image;
   If the at least one person is identified and it is determined that the traffic violation can be verified, importance determining means for determining the importance of the traffic violation;
   Traffic violation information that associates at least the degree of importance, information on the identified person, the image used by the verification determination unit, and the image used by the person identification unit is stored for each traffic violation. Storage means;
   Traffic violation management system with
2. The importance level determination means determines the importance level according to the amount of the breach imposed on the traffic violation.
   The traffic violation management system according to claim 1.
3. Display control means for displaying the traffic violation information on the screen of the display means in the order according to the importance,
   The traffic violation management system according to claim 1 or 2, further comprising:
4. A total amount calculating means for calculating a total amount of violation charges of a plurality of traffic violation information stored for the specified person;
   The display control means associates the total amount, the identified person, and the plurality of traffic violation information to be displayed on the screen of the display means.
   The traffic violation management system according to claim 3.
5. An input unit for receiving an input operation;
   The display control means extracts traffic violation information according to the amount of the breach money, and displays it on the screen of the display means.
   The traffic violation management system according to claim 3.
6. The display control means extracts a plurality of traffic violation information according to the total amount of the violation money, and causes the display means to display the information for each specified person.
   The traffic violation management system according to claim 5.
7. The imaging means is a camera for imaging a road;
   The traffic violation is detected based on the camera image;
   The traffic violation management system according to claim 1 or 2.
8. And further comprising a non-compliance claim creation means for creating the non-compliance claim document,
   The infringement fee claim document creating means stores the created infringement claim bill document in the storage means in association with the traffic violation information.
   The traffic violation management system according to claim 1 or 2.
9. Image acquisition means for acquiring an image at the time of traffic violation imaged by the imaging means;
   A person identifying means for identifying at least one person among a driver and an owner and a passenger of the vehicle in which the traffic violation is detected from the acquired image;
   Verification determination means for determining whether or not the traffic violation can be verified from at least the acquired image;
   If the at least one person is identified and it is determined that the traffic violation can be verified, importance determining means for determining the importance of the traffic violation;
   The traffic violation information associating at least the importance, information of the identified person, an image used by the verification determination unit, and an image used by the person identification unit for each traffic violation, Display control means for displaying on the screen in order according to the degree;
   Traffic violation management system with
10. An image acquisition step of acquiring an image at the time of the traffic violation imaged by the imaging means;
    A person identifying step for identifying, from the acquired image, at least one person among a driver and an owner and a passenger of the vehicle in which the traffic violation is detected;
    A verification determination step of determining whether or not the traffic violation can be verified from at least the acquired image;
    If the at least one person is identified and it is determined that the traffic violation can be verified, an importance determination step of determining the importance of the traffic violation;
    Traffic violation information that associates at least the degree of importance, information on the identified person, the image used by the verification determination unit, and the image used by the person identification unit is stored for each traffic violation. A memory step;
    A traffic violation management method.

Images