CN107004352B

CN107004352B - Traffic violation management system and traffic violation management method

Info

Publication number: CN107004352B
Application number: CN201580067830.9A
Authority: CN
Inventors: 泷泽光司; 上野浩辉; 谷口正宏
Original assignee: Omron Corp
Current assignee: Omron Corp
Priority date: 2015-01-14
Filing date: 2015-10-28
Publication date: 2020-05-12
Anticipated expiration: 2035-10-28
Also published as: JP6364652B2; WO2016113976A1; CN107004352A; JP2016130933A

Abstract

In a traffic violation management system (100), an image acquisition unit (112) acquires an image of a vehicle violating a traffic violation captured by a camera (10) when the vehicle violation is detected. When the user is a punishment object, a storage unit (15) stores the image of the violation vehicle used for the judgment of a confirmation judgment unit (12) for judging whether the violation of the violation vehicle can be proved, the information of the driver specified by a person specification unit (13) for specifying the driver and the possessor of the violation vehicle based on the image acquired by an image acquisition unit (112), the image used for the specification, and the information of the user judged by a punishment object judgment unit (24) for judging whether the user employing the driver is the punishment object, as information related to the same violation in association with each other. The display control unit (16) causes the display unit to display a plurality of pieces of information relating to violations stored in association with the user as one screen or a continuous screen for each user.

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.

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 system including: in the event that a speed violation is detected, the image is used for reading of the vehicle license plate or determination of the violator based on facial recognition, and a violation fine is automatically assessed from the violator's prepaid or credit card.

However, the conventional configuration has the following problems.

That is, in the system disclosed in patent document 1, since the detection of the violation and the identification of the driver are automatically performed, even in the case where the traffic violation cannot be actually confirmed from the image, the violation penalty may be collected from the person.

In order to prevent such improper collection, the following operations are required under the present circumstances: the officer confirms the existence of the violation according to the detected content of each violation piece by piece, and then collects the violation fine.

Also, depending on the nature of the violation, the user who employs the violator may also be charged with violation penalties in different countries. In this case, the police officer needs to confirm whether or not the contents of the violation and the owner of the violation vehicle can be collected for each violation, and then collect the violation fine from the user, which requires much labor and time.

Further, even when one or more users have performed a plurality of traffic violations, the same user cannot confirm a plurality of traffic violations collectively, and efficiency is deteriorated.

Documents of the prior art

Patent document

Patent document 1: japanese laid-open patent publication No. 2002-133043

Disclosure of Invention

The invention provides a traffic violation management system and a traffic violation management method capable of efficiently confirming multiple traffic violations related to the same user.

Means for solving the problems

The traffic violation management system of claim 1 includes an image acquisition unit, a confirmation determination unit, a person identification unit, a punished object determination unit, a storage unit, and a display control unit. The image acquisition unit acquires an image of the vehicle violating the regulations, which is captured by the imaging unit, when the vehicle violations are detected. The confirmation judging unit judges whether or not the violation of the violation vehicle can be confirmed based on the image acquired by the image acquiring unit. The person specifying unit specifies the driver and the possessor of the regulation violation vehicle based on the image acquired by the image acquiring unit. The punishment object judging unit judges whether the user employing the driver is a punishment object or not according to the judged violation content and the information of the holder. When the user is a punishment object, the storage unit stores the image of the violation vehicle used for the violation judgment of the verification judgment unit, the information of the driver specified by the person specifying unit, the image used for the specification of the person specifying unit, and the information of the user specified by the punishment object judgment unit in association with each other as information related to the same violation. The display control unit causes the display unit to display each violation-related information stored in association with the user as one screen or a continuous screen for each user.

In this way, a plurality of pieces of information relating to violations (violations) stored in association with each user (for example, a business) are displayed as one screen or a continuous screen for each user. Thus, the officer is able to efficiently confirm multiple traffic violations associated with each user.

Further, since it is possible to efficiently confirm a plurality of times of traffic violations by the same user, it is possible to collect violation fines in a concentrated manner for a plurality of times of traffic violations, and efficiency in collecting violation fines (fine) is improved.

The police can call the attention of the user and prompt the driver (the user) to follow the traffic regulations.

The traffic violation detected in the traffic violation management system includes, for example, red light running, speeding, no-pass violation, passing section violation, no-pass violation, temporary stop at a specified place, parking violation, passing section violation, priority passing section violation such as a route bus, no-holding-distance, no-light-on, and various violations detectable by using an image, such as a mobile phone. In addition, the traffic violation can be detected by appropriately changing the setting in accordance with the contents of the violation stipulated by the law of each country or the like.

In the detection of red light running, the timing of switching signals, radar, camera, and the like can be used. For detection of an overspeed, radar, a loop coil embedded in a road, a camera (image pickup unit) capable of continuously picking up an image, and the like can be used.

Further, as the image used in the traffic violation management system, for example, an image obtained by an imaging means such as a camera installed at an intersection or a straight road where traffic violations are likely to occur is used.

Further, as the display unit, a liquid crystal display, a plasma display, an organic EL display, a display screen of a pc (personal computer), or the like may be considered.

The traffic violation management system of the invention 2 is based on the traffic violation management system of the invention 1, and the display control unit controls the display unit so that the number of violations and the information of the user are displayed on the picture together.

Thus, the police officer can easily identify the user with a large number of violations, and can issue the bill to the user with a high violation fine with higher priority. Therefore, the violation fine can be efficiently assessed.

Further, the police officer can easily identify a bad user who has a large number of violations and can easily read the type of violation of the user, and therefore, the police officer can easily strengthen the supervision of the bad user. Further, the supervision for a plurality of violations can be efficiently performed.

The traffic violation management system of the invention 3 is based on the traffic violation management system of the invention 1, and the display control unit controls the display unit so that the information of the user with a large number of associated violations is preferentially displayed on the screen.

The traffic violation management system of claim 4 is based on the traffic violation management system of claim 1, wherein the display control unit controls the display unit so that the information of the driver is also displayed together with the information of the user.

Thus, the police officer can easily confirm not only the information of the traffic violation of the user but also the driver of the traffic violation, and can collect the violation fine for the user at the same time, so that the efficiency is high.

The traffic violation management system of the invention 5 is based on the traffic violation management system of the invention 1, and the traffic violation management system further has a total amount calculation unit. The total amount calculation unit calculates a total amount of violation fines of the violation associated with the user. The display control unit controls the display unit so that the total amount of the violation fine is displayed for each user.

Thus, the police officer can easily grasp the total amount of the violation fine for each user. Therefore, the bill can be issued to the user with a high violation fine with higher priority, and the violation fine can be collected efficiently.

The traffic violation management system of the invention 6 is based on the traffic violation management system of the invention 1, and the traffic violation management system further has a file generation unit. The file generating unit generates a 1 st violation fine billing bill file for collecting violation fine to a driver and a 2 nd violation fine billing bill file for collecting violation fine to a user for violation of a punishment object by the user. The storage unit stores information relating to the 1 st violation fine ledger file and information relating to the 2 nd violation fine ledger file as information relating to the same violation in association with an image of the violation vehicle used in violation determination by the confirmation determination unit, information of the driver specified by the person specifying unit, an image used in the specification by the person specifying unit, and information of the user specified by the penalty object determination unit.

Here, the traffic violation management system has a file generation unit for generating a 1 st violation fine bill file for a violator of the detected traffic violation and a 2 nd violation fine bill file for the user.

Thus, the police officer or the like can efficiently perform the processing of collecting the violation fine for the violator and the user thereof corresponding to the content of the violation identified as the traffic violation.

The traffic violation management system of the invention 7 is based on the traffic violation management system of the invention 1, and the traffic violation management system is also provided with a shooting unit and a violation detection unit. The photographing unit photographs a vehicle. The violation detection unit detects a violation of the vehicle. The image acquisition unit acquires an image of the vehicle against the regulation by the imaging unit when the regulation of the vehicle is detected by the regulation detection unit.

Thus, the efficiency of collecting the violation fine is improved by configuring the traffic violation management system including the imaging means such as the camera and the violation detection means such as the radar and the coil.

The traffic violation management system of claim 8 includes an image acquisition unit, a confirmation determination unit, a person identification unit, a punished object determination unit, and a display control unit. The image acquisition unit acquires an image of the vehicle violating the regulations, which is captured by the imaging unit, when the vehicle violations are detected. The confirmation judging unit judges whether or not the violation of the violation vehicle can be confirmed based on the image acquired by the image acquiring unit. The person specifying unit specifies the driver or the possessor of the regulation violation vehicle based on the image acquired by the image acquiring unit. The punishment object judging unit judges whether the user employing the driver is a punishment object or not according to the judged violation content and the information of the holder. The display control unit causes the display unit to display each violation-related information as one screen or a continuous screen for each user when the user is a punishment object, the violation-related information being obtained by associating an image of a violation vehicle used in violation judgment by the verification and judgment unit, information of a driver specified by the person specifying unit, an image used in the specification by the person specifying unit, and information of the user specified by the punishment object judgment unit as information related to the same violation.

In this way, a plurality of pieces of information relating to violations (violations) associated with each user (an employer, for example, a business) are displayed as one screen or a continuous screen. Thus, the officer can efficiently confirm multiple traffic violations associated with one user.

The traffic violation management system of claim 9 includes an image acquisition step, a confirmation determination step, a person identification step, a punished object determination step, a storage step, and a display control step. In the image acquisition step, when a violation of the vehicle is detected, an image of the vehicle violating the regulations is acquired by the image pickup means. In the confirmation judging step, it is judged whether or not the violation of the violation vehicle can be certified based on the image acquired in the image acquiring step. In the person specifying step, the driver and the possessor of the regulation violation vehicle are specified based on the image acquired in the image acquiring step. In the punished object judging step, it is judged whether the user who hires the driver is a punished object or not, based on the contents of the judged violation and the information of the holder. In the storage step, when the user is a punished object, the image of the violation vehicle used in the violation judgment in the confirmation judgment step, the information of the driver specified in the person specifying step, the image used in the specification in the person specifying step, and the information of the user specified in the punished object judgment step are stored in association with each other as information relating to the same violation. In the display control step, control is performed so that a plurality of pieces of information relating to violations stored in association with the user are displayed as one screen or a continuous screen for each user.

In this way, a plurality of pieces of information relating to violations (violations) stored in association with each user (an employer, for example, a business) are displayed as one screen or a continuous screen. Thus, the officer can efficiently confirm multiple traffic violations associated with one user.

(effect of the invention)

According to the traffic violation management system and the traffic violation management method, multiple traffic violations of the same user can be efficiently confirmed.

Drawings

Fig. 1 (a) and (b) are diagrams showing the installation positions of cameras for supplying photographed images to the traffic violation management system according to the embodiment of the present invention at the intersection.

Fig. 2 is a block diagram showing the configuration of a traffic violation management system taking images from the camera of fig. 1.

Fig. 3 is a block diagram for explaining a decision unit included in the traffic violation management system of fig. 2.

Fig. 4 is a diagram showing an example of the certification utility image P1 in fig. 3.

Fig. 5 is a block diagram for explaining a person determining unit included in the traffic violation management system of fig. 2.

Fig. 6 is a diagram showing an example of the person specification images P2 and P3 in fig. 5.

Fig. 7 is a block diagram for explaining a punished object determination unit included in the traffic violation management system of fig. 2.

FIG. 8 is a flow chart illustrating the process flow in a traffic violation management method of one embodiment of the present invention

Fig. 9 is a diagram showing an example of the display screen in fig. 8.

Fig. 10 is a diagram showing an example of the display screen in fig. 8.

Fig. 11 is a diagram showing an example of a hardware configuration of the traffic violation management system shown in fig. 2.

Fig. 12 is a block diagram showing a configuration of a traffic violation management system according to a modification of the embodiment of the present invention.

Detailed Description

As described below, the traffic violation management system 100 according to an embodiment of the present invention will be described with reference to fig. 1 (a) to 10.

<1. overview of traffic violation management System 100 >

The traffic violation management system 100 of the present embodiment manages the occurrence of a traffic violation, the contents of the violation, the driver (person), the user of the driver, and the like, which are detected by using the violation detecting unit 9 and the camera (an example of an imaging unit) 10 provided at an intersection, a road, or the like. Thus, the traffic violation management system 100 is provided, for example, in a police station or the like that supervises traffic violations.

In the police station, in the case where the traffic violation is detected in the traffic violation management system 100, an officer or the like confirms the image extracted in the steps described later and determines whether or not the image is a subject of traffic violation supervision. That is, the present traffic violation management system 100 is used as a system for assisting an officer or the like to be able to efficiently conduct the supervision of traffic violations. In actual use, a PC or the like connected to the traffic violation management system 100 is used, and an officer or the like confirms and supervises the display screen of the PC one by one using a mouse or a keyboard.

As shown in fig. 1 (a), the camera 10 for supplying an image to the traffic violation management system 100 is provided at a predetermined position in the intersection.

The camera 10 captures an image including a road on which the camera 10 is provided and a vehicle traveling on the road. The camera 10 transmits the captured image to an image acquisition unit 112 of the traffic violation management system 100, which will be described later.

The camera 10 is, for example, arranged in a position capable of photographing the front of a vehicle and a driver moving within an intersection in order to determine traffic violations and persons using images taken by the camera 10. 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 101, a street lamp, a street bridge, and a sign.

In the present embodiment, as shown in fig. 1 (a) and 1 (b), 1 camera 10 is provided for each of 1 lane of 3 lanes at an intersection. Therefore, each camera 10 photographs, from the front, a vehicle traveling in each lane, a vehicle traveling across a lane, and the like. Further, as shown in fig. 1 (b), each camera 10 is disposed at a position along the center line of each lane. The image captured by the camera 10 is not limited to the image of the front side of the vehicle passing through the intersection, and may be an image of the back side or the side. Further, the 1 camera 10 may be used to capture images of vehicles traveling in a plurality of lanes.

In the present embodiment, when a traffic violation is detected by the violation detecting unit 9, an image captured by the camera 10 is transmitted to the traffic violation management system 100 of the present embodiment. 1 or more images are transmitted to the traffic violation management system 100 according to the contents of the violation and the like. In addition, at the time of transmission, for example, an optimal image may be extracted from objects (objects, people) included in the image, the sharpness of the image, or the like, and transmitted.

Further, examples of the violation detected by the violation detecting unit 9 shown in fig. 2 include speeding, running a red light, passing-prohibited violations, passing-section violations, passing-prohibited violations, temporary stopping at a specified place, parking violations, passing-section violations, and the like.

To detect an overspeed, the violation detecting unit 9 may have a radar that irradiates a vehicle with an electric wave and detects a speed from the frequency of the electric wave reflected by the vehicle, a coil buried in the ground, or the like. The violation detection unit 9 compares the speed measured by the radar and the coil with the legal speed, and in the case of overspeed, transmits information on the contents of the violation (including information on the exceeding speed and the time of day) to the traffic violation management system 100. When the violation detecting unit 9 detects an overspeed, the image is captured by the camera 10, and the captured image of the camera 10 is also transmitted to the traffic violation management system 100.

Instead of using a radar or a coil, the camera 10 may continuously take images, and the speed of the vehicle may be estimated from the number of frames in which the vehicle is reflected, thereby detecting a speed violation. In this case, the violation detecting unit 9 estimates the speed of the vehicle from the image captured by the camera 10, compares the speed with the legal speed set for each road on which the camera 10 is installed, and detects an overspeed violation.

In the case of a red light violation, the violation detecting unit 9 can detect a vehicle traveling at a red light based on the pre-stored signal light switching information, the display of a red light detected by the image processing of the image acquired by the camera 10, and the like.

More specifically, for example, an image in which the subject vehicle travels in the intersection when the oncoming traffic line is red can be used for 1 image to detect a red-light running violation vehicle. Then, the contents of the violation detected by the violation detecting unit 9 and the image taken by the camera 10 are transmitted to the traffic violation management system 100.

The violation detecting unit 9 may be provided with a sensor or the like that detects the vehicle based on the timing of switching the signals, instead of detecting the red light running by the image processing of the camera 10. That is, when the vehicle enters at the timing of the red light, the red light running is detected, and the information on the violation is transmitted to the traffic violation management system 100. Then, the image is captured by the camera 10 at the time of sensing by the sensor, and the image is transmitted to the traffic violation management system 100.

In the case where a traffic violation, a traffic section violation, a passing violation, a temporary prohibition of a designated place, and the like are prohibited, a camera capable of continuous shooting is used as the camera 10, and the violation detection unit 9 can detect the violation from the image of the camera. That is, the violation detecting unit 9 can detect each traffic violation by reflecting the vehicle in the image of the camera 10 at the place or time zone where the passage, overtaking, or temporary stop is prohibited.

Further, when continuous shooting is performed by the camera 10, since a large number of images are transmitted from the camera 10 to the violation detection unit 9, it is expected that the processing load in the violation detection unit 9 increases. Therefore, a unit that extracts only an image containing the vehicle and transmits it to the violation detection unit 9, for example, may be provided between the camera 10 and the violation detection unit 9.

Thus, even when the camera 10 is used to perform continuous shooting, the violation detection unit 9 can process only the image selected in advance as the target when detecting a violation, and thus the processing load can be reduced.

Further, a large number of images transmitted from the camera 10 to the violation detecting unit 9 may be temporarily stored in a storage unit in the violation detecting unit 9, and only the image necessary for specifying the contents of the violation and the person in the image may be transmitted to the image acquiring unit 112. Here, the required image is, for example, an entire image captured in a red light time. The image range is further narrowed down from the image captured in the red light time by the later-described confirmation judging unit 12 and person specifying unit 13.

< 2> Structure of the traffic violation management System 100

The traffic violation management system 100 of the present embodiment detects a traffic violation by the camera 10 and the violation detecting unit 9, and specifies a vehicle and a violator.

As shown in fig. 2, the traffic violation management system 100 includes a violation information acquiring unit 11, a verification determining unit 12, a person specifying unit 13, a punishment object determining unit 24, a violation fine billing file generating unit 14, a storage unit 15, a display control unit 16, a display unit 17, a violation fine determining unit 18, a total amount calculating unit 19, and a total amount storage unit 20.

The violation information acquisition unit 11 acquires violation information from the violation detection unit 9 and the camera 10. The violation information contains information about the content of the violation and an image of the violation.

The violation information acquisition unit 11 includes a violation content acquisition unit 111 and an image acquisition unit 112. The violation content acquisition unit 111 acquires information relating to the violation content detected by the violation detection unit 9. The image acquisition unit 112 acquires an image captured by the camera 10 based on the contents of the violation detected by the violation detection unit 9. The information on the contents of the violation includes the type of violation such as speeding or running a red light, and the date and time of the violation.

Here, the type of violation is information (name of violation) which kind of violation is determined from acquired information (raw data) in various sensors such as a radar and a coil provided in the violation detecting unit 9, but the information on the contents of the violation may not be limited to the type of violation. The violation content acquisition unit 111 may receive, for example, raw data obtained by various sensors of the violation detection unit 9 as information related to the violation content.

Then, the violation information acquiring unit 11 transmits the captured image and information on the violation content to the verification determining unit 12 and the person specifying unit 13.

Here, in the case where the confirmation of the traffic violation and the identification of the person are performed using the images continuously captured by the camera 10, as described above, the entire images may be transmitted to the image acquisition unit 112 without being stored in the violation detection unit 9, and the entire images may be temporarily stored in the storage unit of the image acquisition unit 112. In this case, the image acquisition unit 112 extracts an image necessary for the verification of the violation from the violation content acquired by the violation content acquisition unit 111, and sends the image to the verification determination unit 12 and the person specification unit 13.

The violation information acquiring unit 11 also transmits information on the contents of the violation to the punishment object determining unit 24 and the violation fine determining unit 18.

The verification determining unit 12 determines whether or not the violation can be verified based on the reflection, content, sharpness, and the like of the image in which the violation is captured. The detailed processing performed when the validation determining unit 12 determines whether or not the violation can be validated will be described in detail later with reference to fig. 3.

The person specifying unit 13 extracts an image satisfying a condition required to confirm the person associated with the traffic violation detected in the violation detection unit 9, using the image received from the violation information acquisition unit 11.

Specifically, the person specifying unit 13 extracts an image capable of specifying a person such as a driver of the violation vehicle. When extracting a specifiable image, 1 or more optimal images are extracted based on the reflection, content, sharpness, and the like of the image, as in the confirmation judging unit 12.

Here, in the present embodiment, the person associated with the traffic violation includes a driver, a fellow passenger, a possessor (owner), an employer user (a company or the like) of the driver of the violation vehicle, and the like.

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. 5.

The punishment object judgment unit 24 judges whether the violation is a violation that the user also is a punishment object, based on the image received from the violation information acquisition unit 11 and the information on the violation content. The information of the owner of the illegal vehicle can be specified by the person specifying unit 13, and the punishment object judgment unit 24 judges whether or not the name of the user (for example, the name of the company) can be specified as the information of the owner. That is, according to the law of each country, a user who hires the driver may be a punishment target together with the driver of the vehicle that violates the traffic violation. If such a violation is detected, the user thereof can be identified with the driver of the vehicle, and the violation can be supervised for the user. For example, in japan, in the case of illegal driving with a vehicle parking behavior or speed limit, a penalty is imposed not only on the driver but also on the user.

The details of the process of determining whether or not the penalty corresponding to the content of the violation detected by the violation detecting unit 9 can be applied to the user department by the penalty object determining unit 24 will be described later in detail with reference to fig. 7.

The violation fine decision unit 18 decides violation fine of a violator (driver) based on the content of the traffic violation detected by the violation detection unit 9. For example, when japan is running a traffic violation that speeding and the speeding is 20km to 24km per hour, the violation fine determination unit 18 determines the violation fine (fine) to 15000 yen with reference to the japanese regulation.

Further, when the punishment object determination unit 24 determines that the user is also a punishment object, the violation fine determination unit 18 also determines the price of the violation fine for the user according to the regulations of each country.

The violation fine bill file generation unit 14 generates a violation fine bill (1 st violation fine bill) of violation fine (fine) against the traffic violation of the driver based on the content of the traffic violation detected in the violation detection unit 9, the personal information (driver, etc.) specified in the personal specification unit 13, and the violation fine decided by the violation fine decision unit 18.

Further, the violation fine billing file generation unit 14 generates a violation fine bill (2 nd violation fine bill) of violation fine (fine) against the traffic violation of the user based on the content of the traffic violation detected by the violation detection unit 9, the information (such as the company) of the user determined by the punishment object determination unit 24, and the violation fine determined by the violation fine determination unit 18.

That is, the violation fine billing file generation unit 14 specifies an address or the like as a transmission destination of the bill based on the specified character information (driver and holder information), and generates a bill in which a character name, a user name (company name or the like), the address, violation contents, and the violation fine amount are recorded.

The storage unit 15 stores the image used in the violation confirmation judgment by the confirmation judging unit 12, the information of the specified person, the image used in the specification of the person, the violation fine, and the information on the bill in association with each other as the information on the same violation.

By this association, the contents of the traffic violation (red light running, speeding, crossing-off violation, use of a mobile phone, etc.) can be collectively classified for each user, and the traffic violation associated with the same user can be collectively displayed (see fig. 9).

In addition, only the images required for confirming the traffic violation in the confirmation judging unit 12 and the person determining unit 13 are transmitted to the storage unit 15. Therefore, images unrelated to traffic violations, unclear images unsuitable for confirming traffic violations, images in which vehicles and persons violating traffic violations cannot be identified, and the like are not stored in the storage unit 15.

In the case where a plurality of traffic violations are associated with the user in the storage unit 15, the total amount calculation unit 19 calculates the total amount of violation fines for the plurality of violations. In the present embodiment, the total amount of the fine for the user is calculated.

The total amount storage unit 20 stores information of a user, a total number of violations violated by a plurality of drivers employed by the user, and a total amount of violation fines for the user. Further, when a new violation of the driver is detected for the user 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 19 recalculates the total amount of the violation fine for the user. Then, the information of the total amount stored in the total amount storage unit 20 is updated for the user.

The display control unit 16 controls the display unit 17 so that each violation-related information stored in the storage unit 15 is displayed as one screen or a continuous screen for each user determined by the penalty object determination unit 24.

The display unit 17 is a display device such as a liquid crystal display. The display form on the display screen of the display unit 17 will be described in detail later with reference to fig. 9.

<2-1. confirmation judging unit 12>

As described below, the confirmation determination unit 12 is explained using fig. 3.

As shown in fig. 3, the confirmation judging unit 12 judges whether or not the contents of the detected violation can be confirmed based on the condition of the image that can be used for confirmation with respect to the image input from the image acquiring unit 112 of the violation information acquiring unit 11.

The conditions of the images that can be used for verification are stored in a verification condition storage unit 221 provided in the DB (database) 21.

The condition of the image that can be used in the confirmation means a condition that the image content as the evidence must satisfy for each traffic violation. For example, the condition that a recognizable violating vehicle and driver must be included in 1 image, or the condition that a recognizable violating vehicle and person must be included in each image in a verifiable state when a plurality of images are combined. The conditions for the image may be set according to laws and the like prescribed in each country, or may be different for each country and each autonomous body.

The verification determining unit 12 checks the verification condition stored in the DB21 against the image received from the violation information acquiring unit 11, and determines whether or not the contents of the violation detected by the violation detecting unit 9 can be verified. When it is determined that the traffic violation can be verified, the verification determining unit 12 extracts a certified image P1 (see fig. 4 and the like) suitable for verifying the traffic violation from among the plurality of images received from the violation information acquiring unit 11.

Then, the certification judging unit 12 outputs the certification utility image P1 and information relating to the contents of the violation to the storage unit 15. Fig. 4 is a diagram showing an example of the verification image P1. Fig. 4 shows a confirmation image P1 of a traffic violation judged to be able to confirm red light running. In fig. 4, an image in which the vehicle enters the intersection despite the red light is shown.

It is preferable that the person specifying means 13 outputs the result of the determination to the storage means 15 from the confirmation determining means 12 after determining that the person can be specified. This prevents useless data from being output to the storage unit 15 and stored when the person specifying unit 13 cannot specify the data.

<2-2. person determining unit 13>

The person specifying unit 13 will be described below with reference to fig. 5.

As shown in fig. 5, the person specifying unit 13 refers to the DB23, and confirms the person associated with the violation vehicle from the image received from the violation information acquiring unit 11.

The DB23 stores information on conditions (conditions including images that can be used in the verification) for verifying a person (driver, possessor, user (business, etc.)) associated with a violation vehicle that violates a traffic violation.

The DB23 includes a certification condition storage unit 230, a driving license information storage unit 231, and a car registration number storage unit 232.

The verification condition storage unit 230 stores conditions of images that can be used for verification. The driving license information storage unit 231 and the car registration number storage unit 232 have information of persons. Specifically, the driving license information storage unit 231 stores driving license information (a driving license number, a photograph of a person, the expiration date of the driving license, the address of the person, and the like). The car registration number storage unit 232 stores information (number plate number, holder information, model name, etc.) associated with the registration number of the car.

Here, regarding the condition for confirming the person associated with the violation vehicle, for example, it may be considered that the face of the driver, the fellow passenger, or the like included in the image coincides with the face photograph registered in the license. In addition, it is also conceivable that the owner, user (company), or the like of the illegal vehicle can be identified by checking the vehicle number detected from the image and information (vehicle certificate or the like) registered in advance at the time of purchase of the vehicle or the like. In this case, the DB23 may store information such as the vehicle number and the owner of the vehicle.

The conditions may be set according to laws and the like stipulated in each country or each autonomous body. That is, if the country is a country in which the driver is supervised, the condition for identifying the driver may be set, and if the country is a country in which the owner of the vehicle is supervised, the condition for identifying the owner may be set.

Further, as for the conditions of the image that can be used for specifying the person, for example, it is conceivable that the face of the driver in the image is clear and can be sufficiently checked against the face photograph of the driver's license. In addition, it is conceivable that the number of the regulation violation vehicle in the image is clear and can be read sufficiently. The conditions for the images may be set according to laws and the like prescribed in each country, and the sharpness of the images, the number of images, and the like may be different for each country or autonomous body.

The person specifying unit 13 checks the information for specifying the person stored in the DB23 against the image received from the image obtaining unit 112, and specifies the name of the driver, possessor, and the like of the illegal vehicle included in the image. Then, when it is determined that the person can be identified, the person identification images P2 and P3 most suitable for confirming the traffic violation are extracted.

Then, the person determining unit 13 outputs the images P2, P3, etc. for person determination and information (name, company name, etc.) for determining the person to the storage unit 15. Fig. 6 is a diagram showing an example of the person specification image P2 and the person specification image P3. The images P2 and P3 are images for specifying a person at the time of a traffic violation running a red light as shown in fig. 4. In the person specification image P2, the number of the number plate can be identified, and the owner of the vehicle can be specified. Further, since the face of the driver can be recognized in the person specification image P3, the driver can be specified by checking the face photograph of the driving license.

It is preferable that the verification determining means 12 outputs the result of the determination to the storage means 15 from the person specifying means 13 after determining that the traffic violation can be verified. Alternatively, the processing in the person specifying unit 13 may be started after the confirmation judging unit 12 judges that the traffic violation can be confirmed, so as not to make the processing in the person specifying unit 13 useless.

<2-3. penalty object determining Unit 24>

Next, the penalty object determination unit 24 will be described.

As shown in fig. 7, the punished object judgment unit 24 detects whether the traffic violation detected by the violation detection unit 9 is a violation that can also be applied to a user who employs a driver who has violated the violation, based on the information recorded in the DB (database) 25.

The punishment object judgment unit 24 judges whether the violation is a violation that the user also is a punishment object, based on the image input from the violation information acquisition unit 11 and the information on the violation content. The punishment object determination unit 24 determines whether or not the name of the user (for example, the name of a company) can be specified, based on the information of the driver and the possessor of the violating vehicle inputted from the person specification unit 13.

That is, the punishment object determination unit 24 determines that the violation can be monitored for the user when the violation content is a violation that the user is also a punishment object and the name of the user can be specified.

The DB25 is provided with a user information storage unit 250 and a punishment-object violation storage unit 251. The user information storage unit 250 stores a list of names of users who employ drivers (names of businesses, etc.). The punishment object violation storage unit 251 stores a list of violation contents applicable to the user together with the driver. The penalty target condition is an example of a penalty applicable to a user based on a rule established for each country and each autonomous body.

The punishment object determination unit 24 refers to the user name list stored in the user information storage unit 250, and determines whether or not the owner of the illegal vehicle is included in the list. If the vehicle is not included in the list, it is determined that the owner of the illegal vehicle does not match the user.

On the other hand, when included in the list, the punishment object determination unit 24 determines whether or not the violation content is included in the violation content stored in the punishment object violation storage unit 251, and when included, determines that the user department can be punished.

When the inputted violation content is not included in the violation content stored in the penalty object violation storage 251, the penalty object determination unit 24 determines that the user department cannot be penalized.

In the name specification of the user, the owner of the regulation violation vehicle may be determined that the name of the user can be specified only when the name of the company is specified. When information of a corporate legal person or the like is registered in advance as information of a vehicle holder, the name of the user may be determined to be able to be specified as the holder of the illegal vehicle by specifying the name of the corporate legal person of the corporation.

<2-4. information stored in the storage unit 15 >

The storage unit 15 stores the image used for the violation confirmation judgment by the confirmation judging unit 12, the information of the specified person, the image used for the person specification, the violation fine, and the information on the bill in association with each other as the information on the same violation.

Here, as the subject of the traffic violation supervision, the subject of the supervision is only in the case where both the content of the traffic violation and the subject person can be confirmed. Thus, even when the verification determining means 12 can specify the contents of the violation, when the person specifying means 13 cannot specify the driver or the possessor of the violation vehicle, the verification image P1 (see fig. 4 and the like) or the like outputted from the verification determining means 12 is deleted from the storage means 15.

In this case, the image data and the like output from the verification determination section 12 may be deleted from the storage section 15, and the verification utility image P1 and the like may not be output from the verification determination section 12. That is, only when both the verification determining unit 12 and the person specifying unit 13 can verify the contents of the violation and specify the person, the image data and the like may be output from the verification determining unit 12 and the person specifying unit 13 to the storage unit 15.

Thus, only information and images that can be used in the supervision and verification of traffic violations are extracted, and the necessary minimum data is stored in the storage unit 15. Therefore, it is possible to avoid an increase in the capacity of the storage unit 15 to a level more than necessary, and it is possible to avoid the police officer viewing an unused image or the like that cannot be used for confirmation in a police station or the like.

When a police officer supervises a traffic violation and verifies that the content of the violation, the image, and the like extracted by the system are used, the police officer transfers the image, the information, and the like associated with the violation to a specific storage location without determining that the violation is a traffic violation. Alternatively, it may be regarded as being impossible to verify, and the image, information, and the like may be deleted from the storage unit 15 by an operation such as an officer.

<3. actions of traffic violation management System >

<3-1. action stored from detection of violation >

Next, the operation of the traffic violation management system (an example of a traffic violation management method) according to the present embodiment will be described. Fig. 8 is a flowchart showing the operation of the traffic violation management system according to the present embodiment. After the traffic violation of the vehicle is detected by the violation detecting unit 9 in step S11, the image of the violating vehicle captured by the camera 10 is acquired by the image acquiring unit 112 in step S12 (an example of an image acquiring step). At this time, the violation content acquisition unit 111 also acquires information on the detected violation content.

Next, in step S13 (an example of the determination step), the confirmation determination unit 12 determines whether or not the violation detected by the violation detection unit 9 can be confirmed based on the acquired image. If it is determined that the authentication cannot be performed, the operation is ended. Further, an example of the determination that the determination cannot be made is a case where no traffic light is reflected in the image shown in fig. 4.

When it is determined that the violation can be confirmed, next, in step S14 (an example of a person specification step), the person specification unit 13 determines whether or not the person specification of the driver or the possessor is possible based on the acquired image. If it is determined that the person cannot be identified, the operation is ended. In addition, the case where the person cannot be specified includes a case where the face of the person is blocked, a case where the face is unclear, and the like.

When the driver or the possessor who has determined that the person can be identified is determined, the penalty object determination unit 24 determines whether or not a penalty is imposed on the user in step S15 and step S16.

In step S15, the penalty object determination unit 24 determines whether or not the owner of the vehicle matches a user such as a company based on the user name list stored in the user information storage unit 250 of the DB 25.

If the possessor of the illegal vehicle is not included in the user name list, the possessor can be determined not to be the user, and therefore, the punishment object determination unit 24 determines that the user cannot be punished, and the control proceeds to step S20.

On the other hand, when the owner of the violation vehicle is included in the user name list, the punishment object determination unit 24 determines whether or not the violation content is included in the violation stored in the punishment object violation storage unit 251 in step S16, assuming that the name of the user can be identified. If the violation is included, the violation content is a violation that the user is also a punishment object and the name of the user can be specified, so that the punishment object determination unit 24 determines that the user can be punished, and the control proceeds to step S17.

In addition, when the inputted violation content is not included in the violation content stored in the penalty object violation storage 251, the penalty object determination unit 24 determines that the user department cannot be penalized, and the control proceeds to step S20.

In step S17, the violation fine decision unit 18 calculates the price of violation fine for the driver 'S department and the price of violation fine for the user' S department based on the information of the violation contents. Here, the violation fine determination unit 18 calculates the price of the violation fine with reference to a database (not shown) of the violation fine amount. The violation fine amount to be applied to the driver and the user is determined for each violation content in the database of violation fine amounts, and is different for each country (or for each autonomous body).

Next, in step S18, the violation fine billing file generation unit 14 generates a billing file for the violation fine of the driver and a billing file for the violation fine of the user.

Then, in step S19 (an example of the storing step), the storing unit 15 stores the image used for the violation determination by the confirmation determining unit 12, the information of the driver, the information of the user, the image used for the person identification, the price of the violation fine of the user, the price of the violation fine of the driver, the information on the bill for the violation fine of the user (data such as a text file) and the information on the bill for the violation fine of the driver (data such as a text file) as information on the same violation in association with each other.

In the above example, the driver information such as the verification image P1, the person specification images P2 and P3, the address of the specified person, and the license number, the holder of the regulation vehicle (user information), the price of the violation fine of the driver, the price of the violation fine of the user, the bill for the driver, and the bill for the user shown in fig. 4 are stored in association with each other as the information on the red light violation included in the date.

If the penalty cannot be applied to the user, the violation fine determination unit 18 determines the price of the violation fine for the driver in step S20. Then, in step S21, the violation fine billing file generation unit 14 generates a billing file for the violation fine of the driver. Then, in S22, the storage unit 15 stores the image used in the violation determination by the confirmation determination unit 12, the information of the driver, the image used in the person specification, the price of the violation fine of the driver, and the information on the bill for the violation fine of the driver in association with each other as the information on the same violation.

<3-2. display action by display control means 16 >

In the traffic violation management system 100 of the present embodiment, as described above, when the verification determining unit 12 and the person specifying unit 13 determine that the contents of the traffic violation, the violating vehicle, the driver, and other persons can be specified, images and various information necessary for verification are stored in the storage unit 15.

Then, the display control section 16 controls the display section 17 so that the police officer or the like can easily confirm the contents of the violation associated with the same user, with respect to the confirmation image P1, the person specification images P2, P3, and various information related to the traffic violation, which are stored in the storage section 15.

Here, the officer confirms the contents of the violation, makes a final judgment as to whether the violation is a traffic violation, and then collects the violation fine.

Therefore, when there are a plurality of violations by the driver of the same user, the police officer can collectively confirm the contents of the violations for the user and determine whether the violation is a traffic violation, and therefore, the violation fine can be easily collected.

Fig. 9 is a diagram showing a screen displayed in the display unit 17 by the display control unit 16.

In the traffic violation management system 100 of the present embodiment, the display control unit 16 can cause the display unit 17 to display the screen a. As shown in fig. 9, on the screen a, the number of users belonging to each group is displayed for each group having a large or small number of violations. In fig. 9, 4 groups (group 1 of 20 or more violations, group 2 of 10 to 20 violations, group 3 of 5 to 10 violations, and group 4 of 5 or less violations) are displayed.

When the officer selects any one of the groups in the frame A, the frame B is displayed. On the screen B, a list of user information of the group selected on the screen a is displayed. For example, when the operation group 1 is selected on the screen a, the name of the user belonging to the group 1, the number of violations associated with the user, and the total amount of violation fines for the user are displayed on the screen B. Here, the display control unit 16 causes the display unit 17 to display the screen B using the total amount of the number of violations and the violation fine for each user stored in the total amount storage unit 20.

When the officer selects any one of the users in the screen B, a screen C is displayed (an example of a display control unit)). On the screen C, the selected plural violation contents of the user are displayed. On the screen C, a list of the contents of the violations of the driver employed by the user is displayed. That is, the driver name, the contents of the violation, the driver violation fine, and the user violation fine are displayed for each driver.

In the frame C, the 1 st to 4 th violation contents are displayed in one frame, and by selecting the forward button 30 displayed in the frame C for entering the next page, the following violation contents are displayed as shown in the frame D. In this way, all the violation contents relating to the predetermined user can be displayed as a continuous screen. A forward button 30 for entering the next page and a return button 31 for returning to the original page are displayed on the screen D, the forward button 30 is pressed to display a list of the contents of the following violations, and the return button 31 is pressed to return to the screen C. In addition, when the number of violations is small, all the violation contents can be displayed on one screen.

Then, by selecting "detailed display" shown in the screen C and the screen D, details of the contents of each violation are displayed. For example, when "detailed display" for running a red light is selected on the screen C, a screen E shown in fig. 10 is displayed. The screen E displays the verification image P1, the person specification images P2 and P3, and displays information on the contents of the violation (the contents of the violation, the place of the violation), the date and time of shooting, and information on the person (the name, the address, the license number, the history of the violation, and the name of the user).

The officer confirms the detailed displayed picture and judges whether the picture is a traffic violation. Then, when it is determined that the person is a traffic violation, the person is sent the bill generated by the violation fine bill file generation unit 14. In this case, since a plurality of violations against the same person can be collectively processed, the job can be efficiently performed as compared with a case where different persons are interposed between the plurality of violations.

<4. Effect and the like >

The traffic violation management system 100 of the present embodiment includes an image acquisition unit 112, a verification determination unit 12, a person specification unit 13, a punishment object determination unit 24, a storage unit 15, and a display control unit 16. When a violation of the vehicle is detected, the image acquisition unit 112 acquires an image of the vehicle violating the regulations, which is captured by the camera 10 (an example of an imaging unit). The confirmation judging unit 12 judges whether or not the violation of the violation vehicle can be certified based on the image acquired by the image acquiring unit 112. The person specifying unit 13 specifies the driver and the possessor of the violating vehicle based on the image acquired by the image acquiring unit 112. The punishment object determination unit 24 determines whether the user who hires the driver is a punishment object or not, based on the contents of the determined violation and the information of the holder. When the user is a punishment target, the storage unit 15 stores the image of the violation vehicle used for the violation determination by the confirmation determination unit 12, the information of the driver specified by the person specification unit 13, the image used for the specification by the person specification unit 13, and the information of the user specified by the punishment target determination unit 24 in association with each other as information on the same violation. The display control unit 16 causes the display unit 17 to display each violation-related information stored in association with the user as one screen or a continuous screen for each user.

Further, since it is possible to efficiently confirm a plurality of times of traffic violations by the same user, it is possible to collect violation fines in a concentrated manner for a plurality of times of traffic violations by the user, and efficiency in collecting violation fines (fines) is improved.

Further, the police can call the user's attention and prompt the user to follow the traffic regulations.

[ 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 according to the above-described embodiment may be implemented by a hardware configuration shown in fig. 11, for example.

The traffic violation management system 100 is connected to an external traffic violation monitoring device 22 via a network N such as the internet, lan (local Area network), wan (wide Area network), or the like. The traffic violation supervision device 22 comprises a camera 10 implementing the function of the violation detection unit 9.

The storage device 160 may be included in the traffic violation management system 100, but may be connected externally, wirelessly or by wire as shown. The display device 170 constituting the display unit 17 may be included in the traffic violation management system 100, but may be connected to the traffic violation management system 100 as shown in the drawing, or display units of other systems may be used.

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. By this control program, the functions of the violation information acquisition unit 11, the confirmation judgment unit 12, the person specification unit 13, the punished object judgment unit 24, the violation fine decision unit 18, the violation fine billing file generation unit 14, the display control unit 16, and the total amount calculation unit 19 are executed.

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 such as images and voice or digital signals is connected, and is connected to the display device 170 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 device 170 via a cable. Further, the connection is not limited to a wired connection by a cable, and may be a wireless connection.

The communication unit 140 has a connection terminal for connecting a communication cable, and is connected to the network N via the communication cable. The communication unit 140 transmits and receives data between the traffic violation monitoring device 22 connected to the network N. The data communication between the communication unit 140 and the traffic violation monitoring device 22 is not limited to a wired communication system, and may be a wireless communication system.

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 an input of information and a selection of a menu, etc., which are realized by 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. In addition, the storage device 160 may also realize the function of the storage unit 15, storing DB21, DB23, DB25, and the like.

(B)

In the above embodiment, as shown in the screen a and the screen B of fig. 9, the user with a large number of violations is preferentially displayed on the screen, but the present invention is not limited to this, and the user with a large number of violations in the recent past (for example, 3 months before from the current time) may be preferentially displayed.

Thus, since the violators who have recently frequently violated rules can be monitored (charged with fine) with priority, the user can take care of the driver to control the violation, and the traffic accident can be prevented from occurring.

(C)

In the above embodiment, the screen is displayed with priority in the order of the number of violations, but the screen may be displayed with priority in the order of the total number of violations. A violator who has a large total of violation fine amounts often makes a traffic violation worse although the number of violations is small. Therefore, since the violators who have executed a bad violation can be supervised (charged with fine) with priority, the user can take care of the driver to control the violation, and the traffic accident can be prevented in the bud.

(D)

In the above embodiment, the total amount of the violation fine for each violator is stored in the total amount storage means 20, but the display control means 16 may calculate and display the total amount on the screen B when it is read from the storage means 15 without providing the total amount calculation means 19 and the total amount storage means 20.

Further, for example, when the total amount is not displayed on the screen B, the total amount calculating means 19 and the total amount storage means 20 may not be provided.

(E)

In the traffic violation management system 100 according to the above-described embodiment, the image used for violation determination, the image used for person identification, the driver information, the user information, the price of the violation fine of the driver, the price of the violation fine of the user, the information on the violation fine bill file for the driver, and the information on the violation fine bill file for the user (such as data of a text file) are stored in association with each other as information on the same violation. For example, the price of the driver's violation fine, the price of the user's violation fine, information relating to the violation fine bill file for the driver, and information relating to the violation fine bill file for the user may not be saved. In this case, after the police officer confirms the information on the violation and finally confirms the traffic violation, the police officer may determine the violation fine and generate the bill file by operating the input unit 150 or the like.

(F)

In the above embodiment, the punishment object determination means 24 determines whether or not the possessor of the regulation violation vehicle is the user, but the person determination means 13 may determine the user when the information of the user of the person described in the license is also stored in the license information storage unit 231 or the like.

In this case, step S16 may be performed to determine whether or not the violation content is a content of violation that can be punished for the user department, without step S15.

(G)

The traffic violation management system 100 of the above embodiment acquires information on the violation content detected by the violation detection unit 9 in order to cope with various violation contents, but may not acquire information on the violation content when the violation content to be detected is determined. That is, when the content of the violation to be detected is determined, only the image acquisition unit 112 may be provided without providing the violation content acquisition unit 111, as in the traffic violation management system 100' shown in fig. 12. In the traffic violation management system 100', the condition for the image required for verification is determined in advance, and therefore, the verification determination unit 12 can determine whether or not the verification condition is satisfied based on the condition by receiving only the image.

(H)

Although the traffic violation management system 100 of the above embodiment further includes the display unit 17 as described above with reference to fig. 10, the traffic violation management system may not include the dedicated display unit 17, and display units of other systems may be used.

(I)

In the above-described embodiment, the traffic violation management system 100 that performs detection/management of traffic violations in a police station or the like using the violation detection unit 9 and the camera 10 as external devices is exemplified. However, the present invention is not limited thereto.

For example, the traffic violation system of the present invention may be configured as a system including a violation detection unit and an imaging unit such as a camera.

In this case, the violation information acquisition unit may be provided in a place such as a road where the imaging unit and the violation detection unit are provided, and another device such as a storage unit may be provided in a police station or the like. Further, the violation information acquisition unit may transmit the information wirelessly or the like to a device provided in a police station or the like.

(J)

The traffic violation management system 100 of the above embodiment acquires an image from the camera 10, but may acquire an image captured by a person confirming a violation using a mobile phone, for example.

(K)

In the above-described embodiments, the traffic violation detection/management in the present system is described in detail by taking an example of an overspeed or a red light running. However, the present invention is not limited thereto.

For example, the traffic violation which can be detected and managed in the present system includes a no-pass/no-turn-around violation, a pass section violation, a reverse run, a no-overtaking violation, a temporary stop at a specified place, a parking violation, a pass section violation, a priority pass section violation such as a route bus, an unretained vehicle distance, no lighting, use of a mobile phone, and the like.

That is, in addition to the traffic violation described above as an example, the present system can detect and manage various traffic violations prescribed by laws and the like made in each country, which can be detected using images captured by a camera and the like.

Industrial applicability

The traffic violation management system and method of the present invention exhibit an effect of efficiently confirming a plurality of traffic violations related to the same user, and therefore, it is easy to perform a process of collecting violation fines, etc., and by setting in combination with the traffic regulations of each country, it is expected to be widely used as a traffic violation management system of each country.

Description of the reference symbols

9: a violation detection unit; 10: a camera (image pickup unit); 11: a violation information unit; 12: a confirmation judging unit; 13: a person determination unit; 14: a violation fine bill file generation unit (file generation unit); 15: a storage unit; 16: a display control unit; 17: a display unit; 18: a violation fine decision unit; 19: a total amount calculation unit; 20: a total amount storage unit; 21: DB (database); 22: a traffic violation supervision device; 23: DB (database); 24: a penalty object determination unit; 25: DB (database); 30: a forward button; 31: a return button; 100: a traffic violation management system; 101: a signal lamp; 102: a special strut; 110: a CPU; 111: a violation content acquisition unit; 112: an image acquisition unit; 120: a RAM; 130: an output section; 140: a communication unit; 150: an input section; 160: a storage device; 221: a confirmation condition storage section; 230: a confirmation condition storage section; 231: a driving license information storage unit; 232: a car registration number storage unit; 250: a user information storage unit; 251: a penalty object condition storage unit; p1: a certificate utility image; p2, P3: an image for specifying a person.

Claims

1. A traffic violation management system, the traffic violation management system comprising:

an image acquisition unit that acquires an image of the vehicle violating the regulations, the image being captured by the imaging unit when the vehicle violations are detected;

a confirmation judging unit that judges whether or not the violation of the violation vehicle can be certified based on the image acquired by the image acquiring unit;

a person specifying unit that specifies a driver and a possessor of the regulation violation vehicle based on the image acquired by the image acquiring unit;

a punishment object judging unit which judges whether the user employing the driver is a punishment object according to the judged violation content and the information of the holder;

a storage unit that stores, in a case where the user is a punishment target, an image of the violation vehicle used for violation determination by the confirmation determination unit, information of the driver specified by the person specifying unit, an image used for specification by the person specifying unit, and information of the user specified by the punishment target determination unit in association with each other as information relating to the same violation; and

and a display control unit that causes a display unit to display each of the pieces of information relating to violations stored in association with the user as one screen or a continuous screen for each of the users.

2. The traffic violation management system of claim 1 wherein,

the display control unit controls the display unit so that the number of violations is displayed on a screen together with the information of the user.

3. The traffic violation management system of claim 1 wherein,

the display control unit controls the display unit so that information of the user with a large number of associated violations is preferentially displayed on the screen.

4. The traffic violation management system of claim 1 wherein,

the display control unit controls the display unit so that the information of the driver is also displayed together with the information of the user.

5. The traffic violation management system of claim 1 wherein,

the traffic violation management system further has a total amount calculation unit that calculates a total amount of violation fines of violations associated with the user,

the display control unit controls the display unit so that the total amount of the violation fine is displayed for each user.

6. The traffic violation management system of claim 1 wherein,

the traffic violation management system also has a file generating unit which generates a 1 st violation fine billing invoice file for collecting violation fine to the driver and a 2 nd violation fine billing invoice file for collecting violation fine to the user for the violation of which the user is a punished object,

the storage unit stores information related to the 1 st violation fine billing document and information related to the 2 nd violation fine billing document as the information related to the same violation, in association with an image of the violation vehicle used in violation judgment by the confirmation judging unit, information of the driver specified by the person specifying unit, an image used in the specification by the person specifying unit, and information of the user specified by the punished object judging unit.

7. The traffic violation management system of claim 1 wherein,

the traffic violation management system further has:

a photographing unit that photographs a vehicle; and

a violation detection unit that detects a violation of the vehicle,

the image acquisition unit acquires an image of the vehicle against the regulation photographed by the photographing unit when the regulation violation detection unit detects the regulation violation of the vehicle.

8. A traffic violation management system, the traffic violation management system comprising:

a person specifying unit that specifies a driver or a possessor of the regulation violation vehicle based on the image acquired by the image acquiring unit;

a punishment object judging unit which judges whether the user employing the driver is a punishment object according to the judged violation content and the information of the holder; and

and a display control unit that, when the user is a punished object, causes a display unit to display, for each user, each violation-related information in which an image of the violation vehicle used for violation determination by the confirmation and determination unit, information of the driver specified by the character specifying unit, an image used for specification by the character specifying unit, and information of the user specified by the punished object determination unit are associated with information related to the same violation, as one screen or a continuous screen.

9. A traffic violation management method comprises the following steps:

an image acquisition step of acquiring an image of a vehicle violating a traffic violation captured by an imaging unit when the vehicle violating the traffic violation is detected;

a confirmation determination step of determining whether or not the violation of the violation vehicle can be certified based on the image acquired in the image acquisition step;

a person specifying step of specifying a driver and a possessor of the regulation violation vehicle based on the image acquired in the image acquiring step;

a punished object judging step of judging whether a user employing the driver is a punished object or not according to the judged violation content and the information of the holder;

a storage step of storing, in a case where the user is a punished object, an image of the violation vehicle used in violation determination in the confirmation determination step, information of the driver specified in the person specifying step, an image used in the specification of the person specifying step, and information of the user specified in the punished object determination step in association with each other as information relating to the same violation; and

and a display control step of controlling so that a plurality of pieces of information relating to violations stored in association with the user are displayed as one screen or continuous screens for each of the users.