CN107111940B

CN107111940B - Traffic violation management system and traffic violation management method

Info

Publication number: CN107111940B
Application number: CN201580068066.7A
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: 2020-06-09
Anticipated expiration: 2035-10-28
Also published as: JP2016130932A; WO2016113975A1; CN107111940A; JP6394402B2

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. A verification determination unit (12) determines whether or not the violation of the violation vehicle can be verified based on the image acquired by the camera (10). A person identification means (13) identifies the driver, owner, or fellow passenger of the regulation-violating vehicle on the basis of the image acquired by the image acquisition means (112). A storage unit (15) stores an image of a violation vehicle used for violation determination by a verification determination unit (12), information of a person specified by a person specification unit (13), and an image used for specification by the person specification unit (13) in association with each other as information relating to the same violation. A display control unit (16) causes a display unit to display a plurality of pieces of violation-related information stored in association with the person as one screen or a continuous screen for each person determined by the person determination unit (13).

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.

Even if the same person violates the traffic rules a plurality of times, the job is performed for each violation, and therefore, the traffic violations performed by the same person a plurality of times cannot be collectively confirmed, and the 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, which can efficiently confirm multiple traffic violations of the same person.

Means for solving the problems

The traffic violation management system of claim 1 includes an image acquisition unit, a verification determination unit, a person specification 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 means specifies a driver, a possessor, or a fellow passenger of the regulation-violating vehicle based on the image acquired by the image acquiring means. The storage unit stores an image of a violation vehicle used for the determination of the violation by the confirmation determination unit, information of the person specified by the person specification unit, and an image used for the specification by the person specification unit in association with each other as information related to the same violation. The display control unit causes the display unit to display each of the information on violations stored in the storage unit as one screen or a continuous screen for each of the persons determined by the person determination unit.

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

Further, since it is possible to efficiently confirm a plurality of times of traffic violations of the same person, it is possible to collectively collect violation fines for persons who have a plurality of traffic violations, and efficiency in collecting violation fines (fines) is improved.

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 information of the person and the number of violations are displayed together as a picture.

Thus, the police officer can easily identify the person with a large number of violations, and can issue the bill to the person 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 person who has a large number of violations and can easily read the type of violation of the person, and therefore, the police officer can easily strengthen the supervision on the bad person. 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 person with a large number of violations is preferentially displayed on the picture.

The traffic violation management system of the invention 4 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 fine of violation associated with the person determined by the person determination unit. The display control unit controls the display unit so that the total amount of the violation fine is displayed for each character.

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

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 file generation unit. The file generating unit generates a violation fine billing document file for collecting violation fine for each violation stored in the storage unit. The storage unit stores information on the violation fine billing document file as information on the same violation, in association with an image of the violation vehicle, information on the specified person, and an image used for the specification.

Here, the traffic violation management system further includes a file generation unit that generates a violation ticket file to be charged to a party of the detected traffic violation (a driver, a vehicle possessor, a fellow passenger, and the like). The electronic data and the like of the created file are stored in a state associated with the contents of the violation, the violation identification image, and the like.

Thus, the police officer or the like can efficiently perform the process of collecting the violation fine for the target person (driver) corresponding to the violation content determined as the traffic violation.

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 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 7 includes an image acquisition unit, a verification determination unit, a person identification 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 means specifies a driver, a possessor, or a fellow passenger of the regulation-violating vehicle based on the image acquired by the image acquiring means. The display control means causes the display means to display each violation-related information as one screen or a continuous screen for each person specified by the person specifying means, the violation-related information being obtained by associating an image of a violation vehicle used for violation judgment by the verification judging means, information of a person specified by the person specifying means, and an image used for specification by the person specifying means with information on the same violation.

In this way, for each person, a plurality of pieces of information relating to violations (violations) associated with the person are displayed as one screen or a continuous screen. Thus, the officer is able to efficiently identify multiple traffic violations associated with a celebrity.

The traffic violation management method of claim 8 includes an image acquisition step, a determination step, a person identification 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 determination step, it is determined whether or not the violation of the violation vehicle can be certified based on the image acquired in the image acquisition step. In the person specifying step, a driver, a possessor, or a fellow passenger of the regulation violation vehicle is specified based on the image acquired in the image acquiring step. In the storage step, the image of the violation vehicle used in the violation determination in the determination step, the information of the person specified in the person specifying step, and the image used in the specification of the person specifying step are stored in association with each other as information relating to the same violation. In the display control step, control is performed such that the respective pieces of information relating to violations stored in the storage step are displayed as one screen or continuous screens for each character determined in the character determination step.

(effect of the invention)

According to the traffic violation management system and the traffic violation management method, multiple traffic violations of the same person 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 validation 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 flow chart illustrating the process flow in a traffic violation management method of one embodiment of the present invention

Fig. 8 is a diagram showing an example of the display screen in fig. 7.

Fig. 9 is a diagram showing an example of the display screen in fig. 7.

Fig. 10 is a diagram showing an example of a hardware configuration of the traffic violation management system shown in fig. 2.

Fig. 11 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, a driver (person), and the like 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. Therefore, the traffic violation management system 100 is provided in, for example, a police station or the like that performs supervision of traffic violations.

In the 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 provided, for example, at a position capable of capturing images of the front of a vehicle moving in an intersection, a driver, a fellow passenger, and the like, so as to identify a traffic violation and a person using the image 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 front image of the vehicle passing through the intersection, and may be a back or side image. 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 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 can estimate the speed of the vehicle from the image captured by the camera 10, and can detect an overspeed violation by comparing the speed with the legal speed set for each road on which the camera 10 is installed.

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

More specifically, for example, in one image, an image in which the subject vehicle travels in the intersection when the oncoming traffic lane is red can be used 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. When the sensor senses this, the camera 10 captures an image of the traffic violation data and transmits the image 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 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 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 holder (owner), an employer (business, etc.) 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 violation fine decision unit 18 decides violation fine 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.

The violation fine billing file generation unit 14 generates a bill of violation fine (fine) of traffic violation based on the content of the traffic violation detected in the violation detection unit 9, the personal information (driver, owner of vehicle, etc.) determined in the personal determination unit 13, and the violation fine decided by the violation fine decision unit 18.

That is, the violation fine billing file generation unit 14 specifies an address or the like as a destination of the bill based on the specified person information, and generates a bill in which the name of the person, the address, the violation content, and the amount of the violation fine are recorded.

The storage unit 15 stores the image used in the determination of the violation by the determination unit 12, the information of the identified person, the image used in the identification of the person, the violation fine, and the information on the bill as information on the same violation in association with each other.

By this association, the contents of the traffic violation (red light running, speeding, crossing entrance violation intercepting, use of a mobile phone, etc.) can be collectively classified for each person, and the traffic violation of one person can be collectively displayed (see fig. 8).

In addition, only the image required for the confirmation of the traffic violation is transmitted to the storage unit 15 in the confirmation judging unit 12 and the person determining unit 13. 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 same person in the storage unit 15, the total amount calculation unit 19 calculates the total amount of violation fines for the plurality of violations.

The total amount storage unit 20 stores information on a person, the number of violations by the person, and the total amount of violation fines for the person. Further, when a new violation is detected for a person already stored in the storage unit 15 and information on the content of the new violation is stored in the storage unit 15, the total amount calculation unit 19 recalculates the total amount of the violation penalty for the person. Then, the information of the total amount stored in the total amount storage unit 20 is updated for the person.

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 person determined by the person determination unit 13.

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. 8.

<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 verification determining unit 12 determines whether or not the contents of the detected violation can be verified based on the condition of the image that can be used for verification stored in the DB (database) 21 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 the 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 of a vehicle entering the intersection although it is a 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 specifying unit 13 outputs the image P2 for specifying a person and the like and information (name, company name, and the like) specifying 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. information stored in the storage unit 15 >

The storage unit 15 stores the image used for the determination of the violation by the determination unit 12, the information on the identified person, the image used for the identification of the person, 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, and 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 output 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 saved 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 related to the violation to a specific storage place without determining the violation as 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. 7 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 (also referred to as a 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.

If it is determined that the person can be identified and the driver or the holder is identified, the violation fine decision unit 18 decides the price of the violation fine based on the violation content in step S15. The violation fine decision unit 18 decides the price of violation fine according to the rule of each country.

Next, in step S16, a bill is generated by the violation fine bill file generation unit 14 using the price of the violation fine, the violation content detected by the violation detection unit 9, and the information of the specified person.

Next, in step S17 (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 person information, the image used for the person identification, the price of the violation fine, and the information (such as data of a text file) related to the violation fine billing file in association with each other as the information related to the same violation.

In the above example, the verification image P1, the person specification images P2 and P3, the person information such as the address of the specified person, the license number, and the like, and the price of the violation fine shown in fig. 4 are stored in association with each other as the information on the violation of running the red light included in the date.

<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 confirmation image P1, the person specification images P2 and P3, and various information on the traffic violation stored in the storage unit 15 are displayed, so that the police officer or the like can easily confirm the violation contents of the same person.

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 the same person performs a plurality of violations, the police officer can collectively confirm the contents of the violations for the person and determine whether the person is a traffic violation, and therefore, the violation fine can be easily collected.

Fig. 8 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. 8, on the screen a, the number of persons belonging to each group is displayed for each group having a large or small number of violations. In fig. 8, 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 violator 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 violator belonging to the group 1, the number of violations by the violator, and the total amount of the violation fine 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 of each person and the violation fine stored in the total amount storage unit 20.

When the officer selects any one of the violators in the screen B, a screen C is displayed (an example of the display control unit). On the screen C, the contents of the plurality of violations of the selected violators are displayed. For example, when the violator displayed first is selected on the screen B, the display control unit 16 displays the character information such as the name of the violator, the number of violations, the total amount of violation fines, and the contents of a plurality of violations on the screen C.

In the frame C, the 1 st to 3 rd violation contents are displayed on 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 contents of violations relating to the predetermined person 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 D, a screen E shown in fig. 9 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 of the driver, and the history of the violation).

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.

In the screen E, a forward button, a return button, and the like may be provided so that the contents of the subsequent violation displayed on the screen C, D can be confirmed. A button for returning from the screen E to the screen C, D may be provided.

<4. Effect and the like >

The traffic violation management system 100 of the present embodiment includes an image acquisition unit 112, a verification and judgment unit 12, a person specification unit 13, 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 verification determination unit 12 determines whether or not the violation of the violation vehicle can be verified based on the image acquired by the camera 10. The person identification unit 13 identifies the driver, the possessor, or the fellow passenger of the regulation violation vehicle based on the image acquired by the camera 10. 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 person specified by the person specification unit 13, and the image used for the specification by the person specification unit 13 in association with each other as information relating to the same violation. The display control unit 16 causes the display unit 17 to display each violation-related information stored in the storage unit 15 as one screen or a continuous screen for each person determined by the person determination unit 13.

As described above, by displaying a plurality of pieces of information on violations (violations) stored in association with each character as one screen or a continuous screen for each character, the officer can efficiently confirm a plurality of traffic violations associated with one character.

Therefore, the process of collecting the violation fine can be collectively performed for the persons who violate the traffic regulations for a plurality of times, and the efficiency of collecting the violation fine (fine) is improved.

<5 > 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. 10, 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 verification determination unit 12, the person specification unit 13, the violation fine determination unit 18, the violation fine bill 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. The storage device 160 may also realize the function of the storage unit 15, and store DB21, DB23, and the like.

(B)

In the above embodiment, as shown in the screen a and the screen B of fig. 8, the violators having a large number of violations are preferentially displayed on the screen, but the present invention is not limited to this, and the violators having a large number of violations in the recent past (for example, 3 months before the present time) may be preferentially displayed.

Thus, since the violators who have recently frequently violated rules can be supervised (collect fine) with priority, the violators can control the violations with caution, and the traffic accidents can be prevented from happening in the bud.

(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 violator who has performed a bad violation can be supervised (charged with fine) with priority, the violator can take care of controlling the violation, and the traffic accident can be prevented from occurring.

(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 total amount calculation means 19 and the total amount storage means 20 may not be provided, and 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.

(E)

Further, in the traffic violation management system 100 according to the above-described embodiment, the image used for the violation judgment by the confirmation judging unit 12, the personal information, the image used for the person identification, the price of the violation fine, and the information (such as the data of the text file) related to the violation fine billing file are stored in association with each other as the information related to the same violation, but the present invention is not limited to this. For example, the price of the violation fine and information related to the violation fine billing file may not be saved. In this case, after the police officer confirms the information on the violation and finally confirms the traffic violation, the input unit 150 and the like may be operated to determine the violation fine and create the bill file.

(F)

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. 11. 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.

(G)

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.

(H)

In the above-described embodiment, the traffic violation management system 100 for detecting/managing 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.

(I)

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.

(J)

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 that can be detected and managed in the present system includes a no-pass/no-turn 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 that can be determined 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 multiple traffic violations of the same person, and therefore, it is easy to perform the processing 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); 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; 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, a possessor, or a fellow passenger of the regulation violation vehicle based on the image acquired by the image acquiring unit;

a storage unit that stores an image of the violation vehicle used for the violation determination by the confirmation determination unit, information on the person specified by the person specification unit, and an image used for the specification by the person specification unit in association with each other as information on the same violation; and

a display control unit that causes a display unit to display each violation-related information stored in the storage unit as one screen or a continuous screen for each person determined by the person determination unit,

the display control unit controls the display unit so that information of people with more violation times is preferentially displayed on the picture.

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

the display control unit controls the display unit so that the information of the person and the number of violations are displayed together as a picture.

3. 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 person determined by the person determination unit,

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

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

the traffic violation management system also has a file generating unit that generates a violation fine ledger document for collecting violation fine for each violation stored in the storage unit,

the storage unit stores information related to the violation fine billing document file as the information related to the same violation in association with the image of the violation vehicle, the information of the specified person, and the image used for the specification.

5. 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.

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

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

a display control unit that causes a display unit to display each of violation-related information, which is an image of the violation vehicle used in violation determination by the confirmation determination unit, information of the person determined by the person determination unit, and an image used in determination by the person determination unit as information related to the same violation, as one screen or a continuous screen for each person determined by the person determination unit,

7. 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 determination step of determining whether or not the violation of the regulation-violating vehicle can be certified based on the image acquired in the image acquisition step;

a person specifying step of specifying a driver, a possessor, or a fellow passenger of the regulation violation vehicle based on the image acquired in the image acquiring step;

a storage step of storing an image of the violation vehicle used for the violation determination in the determination step, information on the person specified in the person specification step, and an image used for the specification in the person specification step in association with information on the same violation; and

a display control step of controlling so that each of the pieces of information relating to violations stored in the storage step is displayed as one screen or a continuous screen for each of the persons determined in the person determination step,

in the display control step, control is performed so that information of a person having a large number of violations is preferentially displayed on a screen.