CN107113400B

CN107113400B - Display device and traffic violation management system provided with same

Info

Publication number: CN107113400B
Application number: CN201580052018.9A
Authority: CN
Inventors: 泷泽光司; 上野浩辉; 谷口正宏; 吉光裕司
Original assignee: Omron Corp
Current assignee: Omron Corp
Priority date: 2015-01-14
Filing date: 2015-10-28
Publication date: 2020-01-14
Anticipated expiration: 2035-10-28
Also published as: JPWO2016113974A1; JP6252693B2; WO2016113974A1; CN107113400A

Abstract

The invention provides a display device (20) for monitoring traffic violation, comprising: a display unit (17) and a display control unit (16). A display unit (17) displays information for performing supervision of traffic violations. The display control unit (16) performs display control of the display unit (16) in the following manner: for each of at least 2 items of the type of traffic violation, the certification probability in the supervision of traffic violation, the date and time of violation, the violator, the number of times of violation, and the amount of penalty, a display screen in which information on a plurality of traffic violations is collected can be generated, and each of the display screens can be switched.

Description

Display device and traffic violation management system provided with same

Technical Field

The present invention relates to a display device for displaying information relating to a traffic violation identified using a camera, a radar, or the like, and a traffic violation management system including the display device.

Background

Conventionally, a vehicle recognition device has been proposed which detects a traffic violation using a camera, a radar, or the like, and discriminates the vehicle, a driver, or the like. Such a vehicle recognition device is considered to be effective for use in traffic violation supervision, accident management, crime search (discovery of vehicles used in crimes), and the like.

For example, patent document 1 discloses a peccancy vehicle detection device that can acquire a detailed image of a vehicle traveling against a rule related to movement of the vehicle without providing a high-performance camera.

However, the display device disclosed in the above publication detects a traffic violation event by displaying the number of the violation vehicle, the vehicle number of the violation vehicle, the color of the traffic signal, and the like for 1 traffic violation event, but does not consider how to display information of the detected traffic violation event.

That is, when the police or the like performs the supervision, how a large number of traffic violations detected by the violation vehicle detection device are displayed causes a great change in the efficiency of the supervision, and thus the display method is particularly important.

Prior art documents

Patent document of the invention

[ invention patent document 1 ] Japanese patent application laid-open No. 2013-164803

Disclosure of Invention

The invention provides a display device capable of effectively displaying information related to a plurality of traffic violations to improve supervision efficiency and a traffic violation management system with the display device.

Means for solving the problems

The display device according to the first aspect of the present invention is a display device used for monitoring traffic violations, and includes a display unit and a display control unit. The display unit displays information for monitoring traffic violations. The display control unit performs display control of the display unit as follows: for at least 2 or more items among the type of traffic violation, the certification probability (certification probability, confirmation probability) in the supervision of traffic violation, the date and time of violation, the violator, the number of violations, and the amount of fine, a display screen for summarizing information on a plurality of traffic violations for each item can be generated, and each display screen can be switched.

Here, in the case of monitoring a traffic violation, the display device that displays various information related to the traffic violation can switch the display screen for each of at least 2 or more items of the type of the traffic violation, the proof probability at the time of monitoring the traffic violation, the date and time of the violation, the violator, the number of times of the violation, and the amount of the penalty, which are collected as the information of the plurality of traffic violations.

Here, the traffic violation displayed on the display unit includes, for example, an invisible signal, an overspeed, a no-pass violation, a pass division violation, a no-pass violation, a no-stop passing (no temporary stop at a specified position), a parking violation, a passing area violation, a priority passing area violation such as a route bus, a no-hold inter-vehicle distance, no illumination, and various violations detectable by using an imaging unit such as a camera or various radars, a GPS, or the like. In particular, for traffic violations, the settings can be appropriately changed and detected in accordance with the contents of the violations stipulated by various countries' laws and the like.

The display unit includes a single liquid crystal display panel, a plasma display panel, an organic EL display panel, a pc (personal computer) display screen, and the like.

The storage device for storing information relating to traffic violations may be, for example, a hard disk of a PC, an external DB, a memory card, a flash memory, or the like.

Thus, for example, as various information relating to a traffic violation which is detected as a traffic violation and stored in a storage device or the like, information indicating a plurality of traffic violations can be summarized for each of the type of traffic violation, the proof probability at the time of supervision of a traffic violation, the date and time of violation, the violator, the number of violations, the amount of fine, and the like. In this way, such a plurality of display screens can be switched and displayed.

As a result, the police or the like who supervises the traffic violation can easily display necessary information relating to the traffic violation by selecting only necessary items, and thus can supervise the traffic violation more efficiently than the conventional one.

A display device according to a second aspect of the present invention is the display device according to the first aspect of the present invention, wherein the display control unit causes the display unit to display the contents of the traffic violations in a state in which the contents are sorted in order from the higher certification probability for each traffic violation supervision, in a case where the display screen is selected by the user and the display screen is a display screen in which information on a plurality of traffic violations is collected for each certification probability for each traffic violation supervision.

Here, for each of a plurality of traffic violations specified by another system or the like, probabilistic collation information, which is provable for the traffic violation, is displayed in order from the higher-proof probability side.

Thus, when the police or the like finally determines whether the traffic violation is to be monitored, the police or the like can display the traffic violation in order from the side with a high possibility, and the efficiency of monitoring can be improved.

A display device according to a third aspect of the present invention is the display device according to the first aspect of the present invention, wherein the display control unit causes the display unit to display information related to each violator (information related to each violator) in a state in which the display unit performs sorting in order from the one having the largest number of violations.

Here, regarding a plurality of traffic violations specified by another system or the like, violators (drivers, owners, employers, co-occupants, and the like) of each of the violation vehicles having made the traffic violations are collated and displayed in order from the party having the largest number of violations.

Thus, when a policeman or the like locks (contracts or reduces) a traffic violation monitoring object, a violator having a large number of violations is preferentially displayed, and therefore monitoring efficiency can be improved.

A display device according to a fourth aspect of the present invention is the display device according to the first aspect of the present invention, wherein the display control unit causes the display unit to display information relating to each violator in a state of being sorted in order from the higher of the amount of the penalty.

Here, the amounts of the penals collected for each of the traffic violations specified by another system or the like are sorted and displayed in order from the higher side of the amount of the penalty.

Therefore, when a policeman or the like locks a traffic violation monitoring object, priority display is started from a major traffic violation with a high penalty, and the monitoring efficiency and the recovery efficiency of the penalty can be improved.

A display device according to a fifth aspect of the present invention is the display device according to any one of the first to fourth aspects of the present invention, wherein the display control unit displays, on the display unit, an image for identifying a violator who violates a traffic violation in combination with the content of the traffic violation, when information for monitoring the individual traffic violation is displayed on the display unit.

Here, when the information relating to the traffic violation is displayed, the content of the traffic violation, the image for specifying the violation which specifies the content of the violation, the image for specifying the violation which specifies the violator, and the like are combined and displayed.

Thus, when a police or the like locks a traffic violation monitoring target, the contents of the traffic violation and a violator (driver or the like) can be easily confirmed by combining the image information. As a result, the efficiency of supervision can be improved.

A display device according to a sixth aspect of the present invention is the display device according to any one of the first to fifth aspects of the present invention, wherein the display control unit causes the display unit to display an image obtained by the image pickup unit continuously picking up an image of a road or a type of traffic violation specified by using detection results of various types of radar.

Here, traffic violations specified by images acquired by a camera or the like, detection results by various radars or the like are collectively displayed for each type of traffic violation.

This enables efficient display of traffic violations automatically detected by using images or the like in other systems or the like, thereby improving the efficiency of traffic violation supervision.

A seventh aspect of the present invention provides the display device according to any one of the first to sixth aspects, wherein the violators include a driver, a co-passenger, an owner, and an employer of the violation vehicle.

Here, the violator of the traffic violation displayed is displayed not only on the driver of the violation vehicle but also on the co-attendant, the owner, and the employer in a range table that can be specified.

Here, the driver and fellow passenger of the violation vehicle are identified using an image of the scene of the traffic violation. The owner or employer of the illegal vehicle determines the information obtained by imaging the illegal site by comparing the information with the information of the vehicle certificate stored in advance and the like.

Thus, the person who is the subject of traffic violation monitoring can be identified, and monitoring can be effectively performed.

A traffic violation management system relating to an eighth invention includes the display device relating to any one of the first to seventh inventions, a violation determination unit, a person determination unit, and a storage unit. The violation determination unit determines the kind of traffic violation. The person determining unit determines at least one of a driver, an owner, and a fellow passenger of the violation vehicle for the traffic violation determined in the violation determining unit. The storage unit stores the determined kind of the traffic violation and at least one of the driver, the possessor and the fellow passenger of the determined violation vehicle in association with each other as information related to the same violation.

In the traffic violation monitoring system including a display device for displaying various information related to traffic violations, traffic violations identified by using images acquired by a camera or the like, radar detection results, and the like are automatically detected, and information related to the traffic violations is stored in association with each other. In addition, in the present system, the following display screens can be switched: the method is characterized in that each item of at least more than 2 items in the types of traffic violations, the proving probability of traffic violation supervision, the violation date and time, the violators, the violation times and the amount of fine is summarized into each display picture of the information of the traffic violations.

The traffic violation identified in the present system includes, for example, a blind signal, an overspeed, a no-pass violation, a pass division violation, a no-pass violation, a no-stop passing, a parking place violation, a passing area violation, a preferential passing area violation such as a route bus, a non-maintained inter-vehicle distance, no illumination, use of a mobile phone or the like, use of an imaging unit such as a camera or various radars, GPS, and the like, and various types of violations that can be detected. In particular, for traffic violations, the settings can be appropriately changed and detected in accordance with the contents of the violations stipulated by various countries' laws and the like.

Thus, for example, it is possible to display various kinds of information related to traffic violations, which are detected as traffic violations and stored in association with each other in the storage means, by summarizing information on a plurality of traffic violations for each of the type of traffic violation, the certification probability at the time of monitoring the traffic violation, the date and time of violation, the violator, the number of violations, the amount of fine, and the like. This enables display while switching between these plurality of display screens.

As a result, the police or the like who supervises the traffic violation can easily display the necessary information relating to the traffic violation by selecting only the necessary items, and thus can supervise the traffic violation more effectively than the conventional one.

Effects of the invention

According to the display device provided by the invention, the information related to a plurality of traffic violations can be effectively displayed, and the supervision efficiency is improved.

Drawings

Fig. 1(a) and (b) are views showing the installation position of a camera for supplying images obtained by continuous photographing to a traffic violation management system including a display device according to an embodiment of the present invention in an intersection.

Fig. 2 is a block diagram showing the configuration of a traffic violation management system that acquires an image from the camera of fig. 1.

Fig. 3 is a functional block diagram showing the structure of a control unit included in the traffic violation management system of fig. 2.

Fig. 4 is a block diagram showing the configuration of a violation determination unit included in the traffic violation management system of fig. 2.

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

Fig. 6 is a functional block diagram showing the configuration of a certification probability determination unit included in the traffic violation management system of fig. 2.

Fig. 7 is a functional block diagram showing the configuration of an importance determination unit included in the traffic violation management system of fig. 2.

Fig. 8 is a diagram showing an example of a display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 9(a) and (b) are diagrams showing an example of a display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 10(a) to (e) are diagrams showing an example of switching display of the display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 11(a) to (c) are diagrams showing an example of switching display of the display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 12(a) to (c) are diagrams showing an example of switching display of the display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 13(a) to (c) are diagrams showing an example of switching display of the display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 14(a) to (d) are diagrams showing an example of switching display of the display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 15(a) to (d) are diagrams showing an example of switching display of the display screen of the display unit included in the traffic violation management system of fig. 2.

Fig. 16 is a diagram showing a configuration example of a traffic violation management system according to another embodiment of the present invention.

Description of the symbols

10a Camera (Camera shooting unit)

10b radar

11 image acquisition unit

11a storage part

12 control unit

12a violation determination unit

12b person specifying unit

12c proof probability decision unit

12d importance determination unit

12e penalty determination unit

12f penalty bill making unit

15 memory cell

16 display control unit

17 display unit

20 display device

21 DB (database)

22 determination unit

23 DB (database)

24 judging unit

25 DB (database)

26 determination unit

27 DB (database)

28 determination unit

31 violation content display area

32 image display area for determination

33 personal information display area

34 image information display area

35 switching button

36 Forward button

37 Back button

100 traffic violation management system

101 signal machine

101a pillar

102 special support

110 CPU (Central processing Unit)

120 RAM (random access memory)

130 output unit

140 communication unit

150 input unit

160 storage device

S1-S3 display screens

P1 violation determination image

P2 and P3 images for specifying person

Detailed Description

Hereinafter, the traffic violation management system 100 including the display device according to the embodiment of the present invention will be described below with reference to fig. 1(a) to 15.

<1, overview of traffic violation management System 100 >

The traffic violation management system 100 according to the present embodiment detects the occurrence of a traffic violation, the contents of the violation, a driver (person), and the like, using images continuously captured by a single camera (imaging means, photographing means) 10a provided at an intersection, a straight road, or the like, and detection results of various sensors 10b and the like that detect a traffic violation of a vehicle. Therefore, the traffic violation management system 100 is installed in, for example, a police station or the like that performs supervision of traffic violations. As various sensors for detecting traffic violations, sensors for detecting traffic violations of vehicles on the road using known techniques, for example, speed detection radars and the like can be used.

In the police station, regarding the occurrence and detection of a traffic violation in the system 100, the police or the like determines whether or not the traffic violation is a traffic violation monitoring target while checking images extracted in the order described later. That is, the traffic violation management system 100 is practically applied as a system for supporting a traffic violation so that the police or the like can effectively supervise the traffic violation. In actual use, a PC or the like connected to the system 100 is used, and a police or the like performs supervision while confirming a display screen of a PC (personal computer) one by one using a mouse or a keyboard.

Further, as shown in fig. 1(a), a camera 10a that supplies an image to the traffic violation management system 100 is provided at a predetermined position of the intersection. The radar 10b may be installed in the same place as the camera 10a or in another place.

The camera 10a continuously photographs images including the set road and the vehicle traveling on the road. The camera 10a then sends the captured image to an image acquisition unit 11 of the traffic violation management system 100, which will be described later. The camera 10a continuously captures images of the number of pixels 5M, for example, at 15 frames per second (coma frames).

The camera 10a is provided at a position where the front of the vehicle and the driver can move in the intersection to identify a traffic violation and a person using images continuously acquired by the single camera 10a, for example. As the installation position, for example, as shown in fig. 1(a) and 1(b), the camera 10a may be installed on a column (inverted U-shaped, L-shaped) 102 or the like that is designed for exclusive use, or may be installed in an existing device such as a signal lamp, a street lamp, a pedestrian bridge, a sign, or the like.

In the present embodiment, as shown in fig. 1(a) and 1(b), one camera 10a is provided for each of the 3 lanes at the intersection. Therefore, the cameras 10a capture images of the vehicle traveling in each lane, the vehicle traveling across the lane, and the like from the front. As shown in fig. 1(b), each camera 10a is disposed at a position along the center line of each lane.

The image captured by the camera 10a is not limited to the image of the front of the vehicle passing through the intersection, and may be the image of the back or the side. Further, the 1 camera 10a may be used to capture images of vehicles traveling in a plurality of lanes.

<2 > construction of the traffic violation management system 100 >

As shown in fig. 1(a), the traffic violation management system 100 of the present embodiment detects a traffic violation by image processing or the like using an image or an image obtained by continuously taking an intersection, and specifies a violator (or owner of a vehicle or the like). That is, the traffic violation management system 100 automatically extracts and displays an image that satisfies a certification condition necessary for the regulation of traffic violations, thereby improving the efficiency of the regulation of traffic violations by the police or the like.

Here, the violator is a person determined based on laws and the like stipulated by each country, such as a driver of the vehicle, a fellow passenger, and an owner of the vehicle, and the determination target may be different for each country or autonomous body.

As shown in fig. 2, the traffic violation management system 100 includes an image acquisition unit 11, a control unit 12, a storage unit 15, and a display device 20 (a display control unit 16, a display unit 17).

The image acquisition unit 11 acquires a plurality of images continuously captured by the camera 10 a. The image acquisition unit 11 temporarily stores all of these plural images in an internal storage unit 11a (see fig. 2), and then transfers the images to the control unit 12 as necessary.

However, in order to transfer a large number of images from the image acquisition unit 11 to the control unit 12, it can be predicted that the processing load on the control unit 12 is large. Therefore, for example, a unit that extracts only the image including the vehicle and transmits the image to the control unit 12 may be provided between the image acquiring unit 11 and the control unit 12.

Thus, when the control unit 12 determines a violation, a person, or the like, it is possible to process only the image selected in advance as a target, and thus it is possible to reduce the processing load.

The control unit 12 receives the image output from the image acquisition unit 11 and the detection result of the radar 10b, and specifies the contents of the violation, the violation vehicle, the person, and the like. As shown in fig. 3, the control unit 12 includes a violation specification unit 12a, a person specification unit 12b, a certification probability determination unit 12c, an importance determination unit 12d, a penalty determination unit 12e, and a penalty bill creation unit 12 f.

The violation specification unit 12a extracts an image satisfying the requirement for proving the specified traffic violation, using a plurality of images extracted as necessary from a plurality of images temporarily stored in the storage unit 11a (see fig. 2) in the image acquisition unit 11. Specifically, the violation determination unit 12a extracts an image capable of determining a violation vehicle (a type of vehicle (model of vehicle), a license plate of the vehicle, and the like) from a plurality of images including the violation vehicle. When extracting the identifiable images, the most suitable 1 or more images are extracted based on the conditions necessary for the certification of traffic violations, such as the image state (photographing situation), contents, and vividness.

Here, the traffic violation identified in the present embodiment is a traffic violation that can be verified using the image, and includes, for example, an invisible signal, an overspeed, a no-pass violation, a traffic classification violation, a no-overtake violation, a no-stop giving, a parking place violation, a passing area violation, and the like.

In the case of a blind signal violation, the violation specification unit 12a detects a vehicle traveling with a red signal based on pre-stored switching information of a traffic signal, a display of a red signal detected by image processing of an acquired image, and the like.

More specifically, for example, when the opposite traffic lane is a red signal in one image, the illegal vehicle with no visible signal can be detected by using the image in which the subject vehicle travels in the intersection.

In the case of an overspeed violation, the detection may be performed using a plurality of images continuously captured by the camera 10a, or may be performed using the result of the speed of the violating vehicle detected by the radar 10 b.

For example, when a speeding violation is detected using a plurality of images captured by the camera 10a, the violation specification unit 12a first obtains the number of images (the number of images) per second based on the number of images captured by the subject vehicle and the number of images captured by the camera 10a, and measures the traveling speed of the subject vehicle. Next, the violation specification unit 12a refers to the speed limit information set for each road on which the camera 10a is installed, and detects a traffic violation as an overspeed when it can be verified that the target vehicle is traveling at the speed limit or more.

More specifically, the number of frames between the frames in which the subject vehicle can enter the image and the frames in which the subject vehicle can disappear is calculated in the image continuously captured by the camera 10a, whereby the approximate traveling speed of the subject vehicle can be measured.

For example, in the case of using the camera 10a for 15-screen shooting within 1 second, the number of screens from the entry of the subject vehicle to the disappearance is 10, and in the case where the travel distance is about 10m, the subject vehicle travels about 15m per second. It is calculated using the speed per hour, which is calculated to be about 54km per hour.

Thus, referring to the speed limit of the road, if the speed per hour is 30km, the overspeed is about 24 km. As a result, the target vehicle is determined to be a violation vehicle.

Here, in order to improve the accuracy of overspeed detection of an overspeed violation, it is preferable to set in advance an object (for example, a stop line of an intersection, a traffic signal, or the like) to be a sign for distance calculation in each image.

The details of the processing of the violation determination unit 12a in determining a desired traffic violation are set forth in detail in the latter paragraph using fig. 4.

The person specifying unit 12b extracts an image satisfying the requirements for proving the person associated with the traffic violation identified by the violation identifying unit 12a, using a plurality of images extracted as necessary from the plurality of images temporarily stored in the storage unit 11a (see fig. 2) in the image acquiring unit 11.

Specifically, the person specifying unit 12b extracts an image capable of specifying a person such as a driver of the violation vehicle. When the specifiable images are extracted, the optimum 1 or more images are extracted based on the state, content, sharpness, and the like of the images, as in the case of the violation specifying unit 12 a.

In the present embodiment, the person associated with the traffic violation includes a driver of the violation vehicle, a co-worker, an owner, an employer (a company, etc.) of the driver of the violation vehicle, and the like.

The detailed processing contents of the person determination unit 12b for determining the person associated with the traffic violation will be explained in detail in the later section using fig. 5.

The certification probability determining unit 12c calculates the certification probability of the traffic violation specified by the violation specifying unit 12a, using a plurality of images extracted as necessary from the plurality of images temporarily stored in the storage unit 11a (see fig. 2) of the image acquiring unit 11 or the detection result in the radar 10 b.

That is, the certification probability determining unit 12c determines whether or not sufficient information for certifying a traffic violation is collected from the content of the traffic violation, information including 1 or more images of the violating vehicle, and the like, determines the reliability of the certification, and calculates the certification probability.

More specifically, the certification probability determining unit 12c determines whether or not to collect an image used as evidence for certifying the traffic violation from the acquired content of the traffic violation and the content, sharpness, and the like of the image in which the traffic violation is captured, and calculates a certification probability. The content of the image indicates, for example, whether the face of a person is completely included, whether a license plate is completely included, whether the face of a person and a license plate are included in 1 image, to what extent they are not completely included, and the like. Furthermore, in addition to the individual image content, the probability of certification is also calculated from the number of pictures that taken the same violation.

Further, details of processing when the certification probability determination unit 12c calculates the certification probability of the traffic violation are explained in detail in the subsequent section using fig. 6.

The importance level determination unit 12d determines the importance level of the traffic violation specified by the violation specification unit 12a, using a plurality of images extracted as necessary from the plurality of images temporarily stored in the storage unit 11a (see fig. 2) in the image acquisition unit 11 or the detection result in the radar 10 b.

That is, when the importance determining unit 12d determines that the certification probability in the certification probability determining unit 12c is equal to or greater than the predetermined value and the person can be specified in the person specifying unit 12b, the amount of the penalty as the importance is determined for the traffic violation with reference to the information on the penalty stored in advance. The importance determination unit 12d generates traffic violation information in which the determined penalty amount is associated with the image used in the person specification unit 12b, the image used in the certification determination, the specified person information, and the like, for each traffic violation, and stores the traffic violation information in the storage unit 15.

Further, the detailed processing contents when the importance level determination unit 12d determines the importance level of the traffic violation will be described in detail in the subsequent stage with reference to fig. 7.

The penalty determination unit 12e determines the penalty of the traffic violation specified by the violation specification unit 12a using a plurality of images taken out as necessary from the plurality of images temporarily stored in the storage unit 11a (see fig. 2) in the image acquisition unit 11 or the detection result of the radar 10 b.

The fine bill creation unit 12f creates a bill of fine for traffic violation (violation fine) based on the content (type) of traffic violation specified by the violation specification unit 12a, the personal information (driver, owner of vehicle, etc.) specified by the personal specification unit 12b, and the amount of fine determined by the fine determination unit 12 e.

More specifically, the penalty bill creation unit 12f sets the amount of the penalty based on the content (type) of the detected traffic violation and the determination result of the penalty determination unit 12 e. Then, the penalty bill creation unit 12f detects the address of the bill as the mailing address and the like based on the detected personal information.

The storage unit 15 collates the traffic violation information and the image received from the control unit 12, and stores information on the violating vehicle and the image thereof, information on the driver and the like and the image thereof, and the penalty bill information and the like described later in association with each other for 1 traffic violation.

The storage unit 15 also stores various information so as to classify the traffic violation types (blind signal, overspeed, crossing gate entrance violation, use of a mobile phone, etc.) and display the traffic violation types in a collective manner (see fig. 7 (a)).

Wherein only the image necessary for the certification of the traffic violation in the control unit 12 is fed to the storage unit 15. Therefore, the storage unit 15 does not store an image irrelevant to the traffic violation, an unclear image unsuitable for the certification of the traffic violation, an image in which the vehicle or person violating the traffic violation cannot be identified, and the like.

The display device 20 displays the contents (types) of traffic violations, various images, and the like determined in the traffic violation management system 100 when monitoring traffic violations. As such, as shown in fig. 2, the display device 20 has a display control unit 16 and a display unit 17.

The display control unit 16 controls the display unit 17 in such a manner as to effectively display the information relating to the traffic violation stored in the storage unit 15 and the 1 or more images associated therewith.

The display unit 17 is a display device such as a liquid crystal display, for example, and displays information on traffic violations stored in the storage unit 15 in a lump or in a plurality of screens. In the following, the display mode of the display screen of the display unit 17 will be described in detail.

<2-1, Structure of violation determining Unit 12a >

The detailed configuration of the violation determination unit 12a will be described below with reference to fig. 4.

As shown in fig. 4, the violation determination unit 12a has a DB (database) 21 and a decision unit 22.

The DB21 stores information relating to conditions for certifying traffic violations, including conditions for certifying images used.

Here, the conditions for proving traffic violation refer to: for example, the blind signal includes information related to switching of the signal device in the cross point where the camera 10a is installed. In the case of a speeding violation, information relating to speed limit on the road on which the camera 10a is installed, information such as the imaging speed of the camera 10a and setting for detecting the speed of the radar 10b are included.

Further, the condition of the image used in the certification means that the content of the image as evidence must satisfy the condition of each traffic violation. For example, when the condition that can specify the violation vehicle and the driver is required to be included in 1 image or when a plurality of images are combined, each image must include the condition that can specify the violation vehicle and the person, and the like in a certifiable state. The conditions for the image may be set according to laws and the like stipulated by each country, and may be different for each country and each autonomous body.

The determination unit 22 compares the certification condition stored in the DB21 with the image extracted as necessary from the plurality of images temporarily stored in the storage unit 11a (see fig. 2) in the image acquisition unit 11 and the detection result in the radar 10b, and determines whether or not the target vehicle included in the image violates a traffic violation, and if the target vehicle is a traffic violation, determines the contents of the violation (the name of the violation, etc.). If it is determined that the traffic violation can be certified in this way, the violation specification image P1 (see fig. 5 and the like) is extracted as a suitable certificate of the traffic violation.

As the detection of a traffic violation using an image, for example, a processing area may be set for each function in an image of 500 ten thousand pixels. For example, a region including a traffic signal is set as a red signal detection processing region, a region under a traffic signal near a stop line up to an intersection is set as a vehicle detection/tracking processing region, and a region near the stop line is set as a vehicle license plate detection processing region.

In the red signal detection processing area, the time when the red signal is detected by image processing becomes a trigger (trigger) when the illegal vehicle which does not see the red signal is detected.

In the vehicle detection/tracking processing area, a lane change/lane crossing, a red-out signal, an illegal left-right turn/U-turn, a reverse run, an illegal parking, and the like of the subject vehicle are detected. In this area, various traffic information (for example, traffic volume, occupancy, inter-vehicle distance, and the like) can be collected.

In the vehicle license plate detection processing area, since it belongs to the closest position in the image, the vehicle license plate can be detected from the rear of the subject vehicle by the image processing.

In this manner, the determination unit 22 outputs the violation specification image P1 and information relating to the violation content to the storage unit 15.

The output from the violation determination unit 12a to the storage unit 15 is preferably performed after the person determination unit 12b determines that the person can be determined. Thus, when the person specifying unit 12b cannot specify the person, it is possible to prevent the storage unit 15 from outputting and storing useless data.

<2-2, configuration of person specifying means 12b >

The detailed configuration of the person specifying unit 12b is as follows if detailed description is given using fig. 5.

As shown in fig. 5, the person specifying unit 12b has a DB (database) 23 and a determination unit 24.

The DB23 stores information relating to conditions (including image conditions used for certification) for certifying persons (drivers, owners, users (businesses, etc.)) associated with the violation vehicles that perpetrated the traffic violation.

Here, the condition for certifying the person associated with the violation vehicle may be that, for example, the face of the driver, the fellow passenger, or the like included in the image matches the face photograph registered on the license. In this case, the DB23 may store information such as license information. Another method is considered to be a method of comparing a license plate detected from an image with information (such as a car certificate) registered in advance at the time of purchase of a vehicle, and the like, and thereby identifying the owner of the illegal vehicle. In this case, the DB23 may also store information of the license plate of the vehicle and the holder of the vehicle, and the like.

The condition may be set based on laws and the like stipulated by each country or each autonomous body. That is, the condition for specifying the driver may be set in any country where the driver is supervised, and the condition for specifying the holder may be set in any country where the holder of the vehicle is supervised.

Further, the condition of the image used in the person determination may be considered to be, for example, that the face of the driver in the image is clear and can sufficiently correspond to the face photograph of the license. The license plate of the other vehicle which can be regarded as the violation vehicle in the image is clear and can be clearly read. The conditions for the image may be set based on laws and the like stipulated by each country, and the sharpness of the image, the number of images, and the like may be different for each country or each autonomous body.

The determination unit 24 compares the information for specifying the person stored in the DB23 with images extracted as necessary from the plurality of images temporarily stored in the storage unit 11a (see fig. 2) in the image acquisition unit 11, and specifies the names of the driver, the owner, and the like of the offending vehicle included in the images. In this way, when it is determined that person identification is possible, the person identification images P2 and P3 (see fig. 5 and the like) that are most suitable as the proof of traffic violation are extracted.

After that, the determination unit 24 outputs the image for specifying a person P2 or the like and information (name, company name, or the like) for specifying a person to the storage unit 15.

The output from the person specifying unit 12b to the storage unit 15 is preferably performed after the violation specifying unit 12a determines that the traffic violation can be certified. Alternatively, the processing in the person specifying unit 12b may be started after the violation specifying unit 12a determines that the traffic violation can be certified, in order not to render the processing in the person specifying unit 12b useless.

<2-3, Structure of Certification probability judging means 12c >

The detailed configuration of the certification probability determining unit 12c will be described below with reference to fig. 6.

As shown in fig. 6, the certification probability judging unit 12c has a DB (database) 25 and a judging unit 26.

The DB25 stores information associated with the certification conditions for each traffic violation, and other information associated with the traffic violation.

Here, the certification condition may be stored in the DB 25. The certification condition includes, for example, condition items such as the number of photographs or images taken of the violating vehicle or person, the state of the photograph (copy), the content, and the sharpness, and a threshold value that becomes a reference of the certification possibility is set for each condition item.

The determination unit 26 refers to the certification conditions stored in the DB25, and determines how much these condition items are satisfied, for example, whether or not the threshold value is equal to or higher than the threshold value, whether or not the person can be determined, and the like. For example, in the case where there are 2 photographs of the license plate and the face of the driver in the same violation, the estimated certification probability is 100%. In addition, in the case where there are 1 photo of the same violation and the license plate is clear but the driver does not shoot from the forehead, the certification probability is assumed to be 80%. However, when the certification condition is hardly satisfied, the determination unit 26 may not estimate the certification probability and may end the process as unprintable. When the certification probability does not satisfy the predetermined criterion (for example, less than 80%), the determination unit 26 may terminate the process as unprintable without estimating the certification probability.

As a condition for enabling discrimination of an image of a person, for example, in the case of discriminating a driver, it is considered that the driver's face in the image is clear and sufficiently corresponds to (matches) a face photograph of a license. In other words, when the owner of the vehicle is identified, the license plate of the regulation violation vehicle in the image is considered to be clear and clearly readable.

The certification conditions are stored in advance based on conditions required for certification in accordance with laws, regulations, operations, and the like of a country or an autonomous body. For example, if a specific violation vehicle and driver are required to be included in 1 image and a plurality of images are combined, each image must include the specific violation vehicle and person in a certifiable state, and the condition that more than 2 photographs of the person are required for the certification of the traffic violation.

Further, if it is a country where a driver is supervised, a condition that only the driver is determined (presence or absence of an image or a photograph of the driver) is set, and if it is a country where only the owner of the vehicle is supervised, a condition that only the license plate of the vehicle is determined is set. Such preconditions are stored in advance in DB25, for example. The determination unit 26 refers to the stored preconditions and determines whether or not the acquired violation detection information satisfies the preconditions. If the precondition is not satisfied before the determination of the certification probability, the determination unit 26 may end the process as unprintable. These preconditions may be appropriately changed based on laws and operations of countries or autonomous bodies introduced into the traffic violation management system 100.

The proof conditions may correspond to the importance of the evidence assisted by a weight. For example, when the condition items in the image are more important than the number of acquired images, it is considered that the sharpness of the image of the license plate contributes more to the certification and the number of images contributes less to the certification. In this case, the former weight coefficient is set to be large, and the latter weight coefficient is set to be small.

In this manner, the determination unit 26 compares the certification condition stored in the DB25 with the acquired image, and estimates the probability that the target vehicle included in the certification image will make a traffic violation.

In addition, when the person can be specified by the person specifying unit 12b, the determination unit 26 generates traffic violation information in which the image used by the person specifying unit 12b, the image used in the certification determination, the personal information specified by the person specifying unit 12b, and the like are associated with the certification probability for each traffic violation. In this manner, the determination unit 26 stores the generated traffic violation information in the DB 25.

The traffic violation information is stored so that the traffic violation information can be managed and outputted for each certification probability (certification probability 100%, certification probability 80% or more, certification probability less than 80%, etc.). The image stored as the traffic violation information may not be all or a part of the image acquired as the violation detection information. For example, only the image that matches the certification condition and/or the precondition or the image used by the person specifying unit 12b may be stored.

<2-4, structure of importance level determination section 12d >

The detailed configuration of the importance level determination unit 12d will be described below with reference to fig. 7.

As shown in fig. 7, the importance determining unit 12d has a DB (database) 27 and a determining unit 28.

The DB27 stores information relating to the fine corresponding to each traffic violation and other information relating to the traffic violation.

The importance determination unit 12d obtains the amount of the corresponding penalty when the person specification unit 12b specifies the violation person for the traffic violation determined to be provable, by comparing the content (type) of the traffic violation with the content (type) of the traffic violation stored in the DB 27. The importance determining unit 12d generates traffic violation information in which the amount of the penalty is associated with the image used by the person specifying unit 12b, the image used for certification determination, the specified person information, and the like for each traffic violation, and stores the traffic violation information in the DB 27.

The image stored as the traffic violation information may not be all or a part of the image acquired as the violation detection information. For example, only an image matching the certification condition and/or the precondition or an image used by the person specifying unit 12b described later may be stored.

Thus, the traffic violation management system 100 of the present embodiment can determine the importance of a traffic violation based on the level of the amount of the penalty set for each traffic violation.

<2-5, information stored in storage section 15 >

Here, as a subject of monitoring traffic violation, the subject of monitoring traffic violation is only when the content (kind) of traffic violation and the subject person can be certified at the same time. Thus, even if the violation determination unit 21 can determine the contents of the violation, if the person specification unit 12b cannot specify the driver or the owner of the violation vehicle, the violation specification image P1 (see fig. 5 and the like) output from the violation specification unit 12a is erased from the storage unit 15.

In this case, the image data or the like output from the violation determination unit 12a may be deleted from the storage unit 15, and the violation determination image P1 or the like may not be output from the violation determination unit 12 a. That is, only in a case where both the violation determination unit 12a and the person determination unit 12b can determine the contents of the violation and the person, the image data and the like may be output from the violation determination unit 12a and the person determination unit 12b to the storage unit 15.

In this way, only information and images usable for the regulation of traffic violations are extracted, and the minimum necessary data is stored in the storage unit 15. Therefore, it is possible to avoid the capacity of the storage unit 15 from increasing more than necessary, and it is possible to avoid useless images that are not used in certification from being seen by police such as a police station.

In addition, when the police supervises a traffic violation in a police station or the like, and if a certificate using the violation content or image or the like extracted by the system is questioned, the police moves the image or information or the like associated with the violation to a specific storage place without determining the traffic violation. Alternatively, the images, information, and the like are deleted from the storage unit 15 by an operation of the police or the like as the content which cannot be verified.

<3, display State in display means 17 >

As described above, in the traffic violation management system 100 of the present embodiment, when the control unit 12 determines that the contents (type) of the traffic violation, the illegal vehicle, the person such as the driver, and the like can be specified, the image and various information necessary for the certification are stored in the storage unit 15.

Thereafter, the violation identification image P1, the person identification images P2 and P3, and various information related to the traffic violation, which are stored in the storage unit 15, are displayed and controlled by the display control unit 16 so that the police or the like who supervises the traffic violation can effectively supervise the traffic violation.

Specifically, as shown in fig. 8 to 15(d), various information related to traffic violations and images P1 to P3 are displayed on the display unit 17 such as a liquid crystal display.

<3-1 > display of violation content and the like Using Single display Screen >

Fig. 8 shows a display screen S1, which is a display screen S1 when one piece of information relating to a traffic violation is displayed on all of one display screen.

As shown in fig. 8, the display screen S1 includes three display areas, i.e., the violation display area 31, the determination image display area 32, and the personal information display area 33.

The violation content display area 31 displays violation content (e.g., invisible red signal), violation place, and shooting date and time of the image. In the present embodiment, since the violation is verified using 3 images as shown in fig. 8, the year, month, day, and second of each image is recorded.

The determination image display area 32 displays an image for certifying the contents of the violation and the person displayed in the violation content display area 31. In the present embodiment, as shown in fig. 8, 1 violation identification image P1 and 2 person identification images P2 and P3 are displayed.

The violation determination image P1 shows a state where the subject vehicle is traveling in the intersection in a state where the signal of the opposite traffic lane is a red signal. Generally, the signal of the opposite lane and the signal of the lane on which the subject vehicle travels are displayed in synchronization and the same. Therefore, this image is extracted as the violation specification image P1 as a proof that the violation can be performed.

The person specification image P2 enlarges and displays the license plate portion of the vehicle in the image in front of the regulation violation vehicle judged as the blind signal in the regulation violation image P1 by image processing. The image can identify the vehicle license plate of the violation vehicle, and the name of the owner of the violation vehicle, the name of the user (company), or the like can be identified by referring to the previously registered vehicle inspection information or the like.

The person specification image P3 enlarges and displays the vicinity of the driver seat in the image of the front face of the regulation violation vehicle determined as the blind signal in the regulation violation image P1 by image processing. The names of the driver and the fellow passenger of the regulation violation vehicle can be specified by specifying the faces of the driver and the fellow passenger of the regulation violation vehicle from the image and referring to the face photograph information of the license registered in advance.

The personal information display area 33 displays information related to the person (driver, owner, user, etc.) identified using the person identification images P2 and P3 displayed in the identification image display area 32. For example, the driver information displayed includes data such as the name, address, license number, history of violation, and reduction score of the driver.

As described above, the traffic violation management system 100 of the present embodiment stores the necessary information (the violation content, the identification image, other information, and the like) for proving 1 traffic violation in the storage unit 15 in a correlated state. Therefore, these associated information can be collectively displayed on the display unit 17.

Thus, the police performing the traffic violation monitoring using the present system 100 can easily determine whether or not the police is the traffic violation monitoring target by confirming the display screen S1 shown in fig. 8. Therefore, the police only needs to confirm the minimum information and images, and therefore the traffic violation monitoring efficiency can be improved compared with the prior art.

<3-2 > display of violation content Using multiple display screens >

Next, fig. 9(a) and 9(b) show display screens S2 and S3 when information relating to 1 traffic violation is displayed on a plurality of display screens.

As shown in fig. 9(a), the display screen S2 includes three display areas, i.e., the violation display area 31, the determination image display area 32, and the image information display area 34.

The violation content display area 31 displays violation content (e.g., speeding) and the violation site.

The determination image display area 32 displays an image for certifying the contents of the violation displayed in the violation content display area 31. In the present embodiment, as shown in fig. 9(a), 2 violation identification images P1 are used to prove an overspeed violation, and 1 of these images is displayed on the display screen S2. Next, by pressing the triangular switching button 35 shown in fig. 9(a), the second violation identification image P1, the person identification image P2, and the like are displayed.

The image information display area 34 records the date and time of shooting of the image displayed as the display screen S2 in terms of year, month, day, and second. In this way, in the case of an overspeed violation, the measured vehicle speed and the excess speed exceeding the speed limit are described.

The display screen S3 displays the switch button 35 clicked again "next" from the display state of the second violation determination image P1. As shown in fig. 9(b), the display screen S3 includes three display areas, i.e., the violation display area 31, the determination image display area 32, and the image information display area 34.

The violation content display area 31 indicates the violation content (for example, overspeed) and the violation location, similarly to the display screen S2.

The determination image display area 32 displays a person determination image P2 for certifying the person associated with the violation displayed in the violation content display area 31. In the present embodiment, as shown in fig. 9(b), a driver who violates an overspeed is certified using 1 person specification image P2. Thereafter, as shown in fig. 9 b, the triangle-shaped switch button 35 is clicked (previous or next), and the previous screen (display screen S2) or the next screen is displayed.

As the display content displayed in the next screen, the violation related information may be regarded as a remaining violation determination image, a driver of the violation vehicle, or bill data of a fine for all persons, or the like. The order of displaying the images can be changed as appropriate.

The data of the bill of the fine is created by the fine bill creation unit 12f, and includes the amount of the fine (violation fine), the address of the person to be penalized, and the like.

As described above, the traffic violation management system 100 of the present embodiment stores information (violation contents, identification images, other information, and the like) necessary for proving 1 traffic violation in the storage unit 15 in a correlated state. Therefore, these pieces of related information can be collectively displayed on a plurality of display screens of the display unit 17.

Thus, the police performing the traffic violation supervision using the present system 100 can easily determine whether or not the police are the traffic violation supervision target by confirming the display screens S2, S3 and the like shown in fig. 9(a) and 9 (b). Therefore, the police only needs to confirm 2-3 display pictures and only needs to confirm minimum information and images, and therefore the traffic violation monitoring efficiency can be improved compared with the prior art.

<3-3, Classification display of item group >

As shown in fig. 10(a), the traffic violation management system 100 of the present embodiment displays on the display device 20 a screen classified for each type, proof probability, penalty, and number of violations of a traffic violation detected during a predetermined period. Further, by selecting a desired item on the screen of the display device 20 using a mouse or the like, various information related to traffic violations can be displayed in a switched manner.

For example, when "1, a traffic violation group" is clicked on a screen shown in fig. 10(a) by a police or the like who supervises a traffic violation at a police station, as shown in fig. 10(b), the screen is switched to a page of a traffic violation type group that classifies traffic violations such as an invisible signal, an overspeed, a crossing gate entrance violation, a mobile phone use, and the like (traffic hazard).

When the police or the like clicks "2, certification probability group" on the screen shown in fig. 10(a), as shown in fig. 10(c), the screen is switched to a page of a probability group in which the traffic violation can be certified based on information such as acquired images, which indicates that the certification probabilities are 100%, 99 to 80%, and less than 80%.

When the police or the like clicks "3, penalty group" on the screen shown in fig. 10(a), the police or the like switches to a page that classifies the penalty set for each traffic violation as represented by 40000 yen or more, 30000 yen to less than 40000 yen, 20000 day to less than 30000 yen, and less than 20000 yen into an amount group, as shown in fig. 10 (d).

When the police or the like clicks the "4 violation number array" on the screen shown in fig. 10(a), the screen is switched to pages classified into a sequence in which the number of times of violations made by traffic violations is large, such as 20 times or more, 10 times to less than 20 times, 5 times to less than 10 times, and less than 5 times, as shown in fig. 10 (e).

That is, when a police or the like using the system 100 in the police station starts monitoring a traffic violation, for example, the police or the like will first discuss what kind of item the monitoring target is locked to while looking at a liquid crystal display screen of a PC displaying the screen of (a) of fig. 12.

In this way, the police or the like selects items based on desired conditions such as the type of traffic violation, the condition with high certification probability, the condition with high penalty, and the like, and locks the traffic violation which is the subject of supervision.

<3-4, Classification representation for the category of each traffic violation >

Next, fig. 11(a) shows the number of traffic violations of a plurality of types detected by the present system 100, which are classified by type. Fig. 11(b) is a list showing violation information relating to an overspeed displayed when an overspeed is selected (clicked) among the plurality of types of traffic violations shown in fig. 11 (a). Fig. 11(c) shows details of the violation displayed when the details of the violation of 1 is selected (clicked) from the list of the violation information related to the overspeed displayed in fig. 11 (b).

For example, when a police or the like using the system 100 starts supervision in a police station, the police or the like selects the type of traffic violation using a mouse or the like while looking at a liquid crystal display screen or the like of a PC that displays the screen of fig. 11 (a).

Next, when monitoring the violation related to the overspeed, the police or the like selects the overspeed using a mouse or the like on the screen of fig. 11(a), and displays a list of violation information related to the overspeed on the screen as shown in fig. 11 (b).

Next, the police or the like selects the violation of 1 using a mouse or the like on the screen of fig. 11(b), and displays information such as the contents of the violation related to the overspeed violation, the identification image, and the like on the screen as shown in fig. 11 (c). The screen shown in fig. 11(c) is the same as the display screen S1 shown in fig. 8.

As described above, the traffic violation management system 100 according to the present embodiment stores the contents of the violations relating to 1 traffic violation, the identification images, and the like in association with one another, and also stores the contents in a state of being classified for each traffic violation type.

Thus, the police or the like who supervises the speeding can determine whether or not to determine the violation by selecting the speeding from the plurality of traffic violations classified for each type while viewing the display screen and confirming the screen on which the contents of the violations limited to the speeding are displayed.

Thus, even when traffic violations of a specific type are supervised in a concentrated manner, it is possible to effectively perform supervision by displaying only information relating to traffic violations of a specific type.

Thus, the police or the like can finally determine whether or not the traffic violation is to be monitored in a state where the traffic violation is of a desired type. As a result, the violation of regulations as the object of supervision can be effectively locked and judged, and the efficiency of supervision is improved compared with the prior art.

<3-5, Classification display for each proving probability >

Next, fig. 12(a) shows the number of traffic violations detected by the present system 100, which are classified for each certification probability. Fig. 12(b) shows a list of violation information displayed when 100% of the certification probabilities displayed in fig. 12(a) are selected (clicked). Fig. 12(c) shows details of the violation displayed when the details of the violation of 1 is selected (clicked) from the list of the violation information showing the proof probability of 100% displayed in fig. 12 (b).

For example, when a police station using the system 100 starts supervision, the police station selects a traffic violation with a high probability of being able to prove a traffic violation by using a mouse or the like in the order of violations, while looking at a liquid crystal display screen of a PC that displays the screen of (a) of fig. 12.

Next, when regulation of a violation with a determination certification probability of 100% is performed, the police or the like selects the certification probability of 100% on the screen of fig. 12(a) using a mouse or the like, and displays a list of violation information with the determination certification probability of 100% on the screen as shown in fig. 12 (b).

Next, the police or the like selects the violation of 1 using a mouse or the like on the screen of fig. 12(b), and displays information such as the contents of the violation related to the violation, the identification image, and the like on the screen as shown in fig. 12 (c). The screen shown in fig. 12(c) is the same as the display screen S1 shown in fig. 8.

Thus, the police or the like can finally determine whether or not to be the subject of traffic violation monitoring in a state where only a violation that can be identified as having a high possibility of traffic violation is locked. As a result, the violation of regulations as the supervision object can be effectively locked and judged, and the supervision efficiency is improved compared with the conventional supervision efficiency.

In addition, the above description has been made by taking an example in which the certification probability is expressed as a percentage, but the present invention is not limited thereto.

For example, cases with an attestation probability equal to or higher than a predetermined probability and cases other than the predetermined probability may be classified into 2 types, and "1" and "high attestation probability" and "2" and "low attestation probability" may be displayed. Here, the case with the high certification probability may be changed by a setting input by the user, and may be, for example, only a case with a certification probability of 100%, or a case with a certification probability of 100% to 80%.

<3-6, Classification display for each penalty >

Next, fig. 13(a) shows the number of individual traffic violations detected by the present system 100, sorted by the amount of money for each penalty. Fig. 13(b) shows a list of violation information displayed when the highest 40000 yen or more of the penals displayed in fig. 13(a) is selected (clicked). Fig. 13(c) shows details of the violation displayed when the details of the violation of 1 are selected (clicked) from the list of violation information including the penalty 40000 yen or more displayed in fig. 13 (b).

For example, when a police or the like using the system 100 starts supervision by a police station, the police or the like selects a violation with a high penalty using a mouse or the like in order of violation while looking at a PC liquid crystal display screen or the like that displays the screen of fig. 13 (a).

Next, when monitoring a violation with a maximum penalty of 40000 yen or more, the police or the like selects the penalty of 40000 yen or more using a mouse or the like on the screen of fig. 13(a), and displays a list of violation information determined to be the penalty of 40000 yen or more on the screen as shown in fig. 13 (b).

Next, the police or the like selects the violation of 1 using a mouse or the like on the screen of fig. 13(b), and displays information such as the contents of the violation related to the violation, the identification image, and the like on the screen as shown in fig. 13 (c).

Thus, the police or the like can finally determine whether to be the traffic violation monitoring target or not in a state where only the traffic violation is locked in a violation with a high penalty obtained in the case of performing monitoring as a traffic violation. As a result, since the violation to be monitored is effectively determined by effectively locking the amount corresponding to the penalty, the efficiency of monitoring can be improved compared to the conventional case, and the efficiency of collecting the penalty can be improved.

<3-7, Classification display for the number of violations (violator) >

Next, fig. 14(a) shows the number of individuals (violators) classified by the number of times of traffic violations detected by the present system 100. Fig. 14(b) shows a list of violation information displayed when the maximum number of violations in fig. 14(a) is selected (clicked) or more than 20. Fig. 14(c) shows details of the violation displayed when the details of the violation of 1 is selected (clicked) in the violation information list of 20 or more violation counts displayed in fig. 14 (b). Fig. 14(d) shows details of the violation on the next page displayed when the forward button 36 shown in fig. 14(c) is clicked.

For example, when a police or the like using the system 100 starts monitoring by a police station, a desired violator is selected from violators or the like classified in the order of the large number of violations using a mouse or the like while looking at a liquid crystal display screen of a PC or the like displaying the screen of fig. 14 (a).

Next, when monitoring a violator having a maximum number of violations of 20 or more, the police or the like selects the number of violations of 20 or more using a mouse or the like on the screen of fig. 14(a), and displays a list of violation information determined as the number of violations of 20 or more on the screen as shown in fig. 14 (b).

Next, the police or the like selects the violation of 1 using a mouse or the like on the screen of fig. 14(b), and displays information such as the contents of the violation related to the violation and the identification image on the screen as shown in fig. 14 (c). If the screen shown in fig. 14(c) is not completely displayed, the forward button 36 is clicked to display the screen of the next page shown in fig. 14 (d). When the page is not completely displayed, the button 36 shown in fig. 14(d) is clicked, and the page is advanced to the next page. On the other hand, when returning to the previous page, the police or the like clicks the return button 37 shown in fig. 14(d) to return to the previous page.

Therefore, the police and the like can effectively extract the violators with a large number of violations obtained under the condition of carrying out the supervision of the traffic violation, and finally determine whether the violators are used as the supervision objects of the traffic violation. As a result, the violation to be monitored can be locked and judged in the order of the most violation times, thereby improving the monitoring efficiency compared with the prior art. In addition, when there is a penalty that is not paid by the target violator, the same person is contacted to realize the collection of the penalty a plurality of times, and therefore, the collection efficiency can be improved.

<3-8, Classification display (user) for the number of violations

Next, fig. 15(a) shows the number of companies or individuals (users, etc.) classified by the number of times of traffic violations detected by the present system 100. Fig. 15(b) shows a list of violation information displayed when the number of violations displayed in fig. 15(a) is selected (clicked) at most 20 or more times. Fig. 15(c) shows details of the violation displayed when the details of the violation of 1 are selected (clicked) from the list of the violation information of 20 or more violation counts displayed in fig. 15 (b). Fig. 15(d) shows details of the violation of the next page displayed when the forward button 36 shown in fig. 15(c) is clicked.

For example, when a police or the like using the system 100 starts monitoring by a police station, a desired user is selected from users (employers or the like) of violators classified in the order of the number of violations with a mouse or the like while looking at a liquid crystal display screen of a PC or the like displaying the screen of fig. 15 (a).

Next, when the user is supervised at most 20 times or more the number of violations, the police or the like selects 20 times or more the number of violations using a mouse or the like on the screen of fig. 15(a), and displays a list of violation information determined as 20 times or more the number of violations on the screen as shown in fig. 15 (b).

Next, the police or the like selects the violation of 1 using a mouse or the like on the screen of fig. 15(b), and displays information such as the contents of the violation related to the violation, the identification image, and the like on the screen as shown in fig. 15 (c). Then, when the screen shown in fig. 15(c) is not completely displayed, the forward button 36 is clicked to display the next screen shown in fig. 15 (d). If the page is not completely displayed, the user clicks the forward button 36 shown in fig. 15(d) to move to the next page. On the other hand, when returning to the previous page, the police or the like clicks the return button 37 shown in fig. 15(d) to return to the previous page.

Thus, the police or the like can effectively extract a user who has a large number of violations and who has performed traffic violation monitoring, and can finally determine whether the user is a traffic violation monitoring target. As a result, since the violation to be monitored can be determined in the order in which the number of violations is large, the monitoring efficiency can be improved as compared with the conventional case. Further, the same information management is performed not only for the target violator but also for the user who hires the violator, and it is possible to collect a plurality of penalties by contacting the same user, so that the collection efficiency can be improved.

<3-9 switching display of various classification display screens >

As described above, the traffic violation management system 100 of the present embodiment can display various display screens shown in fig. 10(a) to 15(d) in a switchable state.

Thus, in police or the like such as a police station that supervises traffic violations using the system 100, by selecting a desired item from the selection screen of the item group shown in fig. 10(a) using a mouse or the like, it is possible to confirm and easily extract information of traffic violations, violators, and the like classified into the item group.

As a result, the efficiency of supervision can be improved over the prior art by effectively displaying information associated with a plurality of traffic violations.

[ other embodiments ]

While the embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the scope of the invention.

(A)

The traffic violation management system 100 may be implemented, for example, by the structure shown in fig. 16.

The traffic violation management system 100 is connected to an external traffic violation monitoring device (camera 10a) via the internet or a Network N such as a Local Area Network (LAN) or a Wide Area Network (WAN). In addition, the traffic violation management system 100 is coupled to the storage device 160.

The traffic violation management system 100 is configured by a computer terminal, and includes a CPU (Central Processing Unit) 110, a RAM (Random Access Memory) 120, an output Unit 130, a communication Unit 140, an input Unit 150, and the like.

The CPU110 executes various arithmetic processes and the like, and executes a predetermined control program that is stored in the RAM120 and expanded. By this control program, the functions of the respective units (the violation specification unit 12a, the person specification unit 12b, the certification probability determination unit 12c, the importance level determination unit 12d, the penalty determination unit 12e, the penalty bill creation unit 12f, the display control unit 16, and the like) of the traffic violation management system 100 are executed.

RAM120 is configured by a storage element such as an SRAM (Static RAM) or a 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 video and audio or digital signals is connected. The output unit 130 is connected to the display unit 17 through these cables. The output unit 130 converts various information read from the storage device 160 into an image signal in response to an instruction from the display control unit 16, and outputs the image signal to the display unit 17 through a cable.

The communication unit 140 has a connection terminal or a wireless communication interface for connecting a communication cable, and is connected to the network N. The communication unit 140 performs data input/output between the traffic violation monitoring device (camera 10a) connected to the network N.

The input unit 150 is constituted by a mouse, a keyboard, a touch panel operated on a screen, and the like. The input unit 150 notifies the CPU110 of the received operation contents by inputting user operation acceptance information, selecting a menu, and the like.

The storage device 160 is configured by a semiconductor memory, a magnetic storage medium, an optical storage medium, or the like, and the storage unit 15 may be a component included in the storage device 160 or may be a large-capacity storage device connected by another means. In addition, the storage device 160 may be connected to the traffic violation management system 100 via a network.

(B)

The traffic violation management system 100 according to the above embodiment calculates the certification probability by the certification probability judging unit 12c as the judgment for certifying the reliability of the traffic violation, but does not necessarily have to calculate the specific probability.

For example, a determination unit that determines whether certification is possible may be provided instead of the certification probability determination unit 12 c. In this case, instead of the determination unit of the certification probability determination unit 12c, it is determined whether the acquired violation detection information satisfies the certification condition stored in the DB 21. When these conditions are satisfied, the determination means generates traffic violation information including an image used in the person specifying means 12b for each traffic violation, an image used for the determination, personal information specified by the person specifying means 12b, and the like, and stores the traffic violation information in the storage means 15. Other structures are the same as those of the above embodiment.

According to the above configuration, only the traffic violation information that is judged to be reliable is stored in the storage means 15, and therefore, the amount of data that must be processed can be suppressed, and the efficiency of traffic violation supervision by the police or the like can be improved compared to the conventional one. Further, the amount of stored data in the storage unit 15 can be suppressed.

(C)

The traffic violation management system 100 of the above embodiment exemplifies the amount of the penalty as an element for measuring the importance of the determined traffic violation, but the present invention is not limited to this.

For example, the type of traffic violation, the habit of the violator, the place of violation (school road, near hospital, place with many pedestrians, place with many traffic accidents, etc.), the time (time for which traffic violation is to be monitored) and the like may be set as the elements of importance.

Here, the violation of the violator may be the number of violations the violator has made in the past, the number of violations within a prescribed period. The efficiency of policemen and the like in monitoring traffic violations of people who repeatedly violate traffic violations more than a prescribed number of times can be improved.

Each element of importance is assigned with a degree (numerical value), importance, that is, height corresponding to the degree can be managed, stored, and output.

In addition, regarding the importance, the authorities that perform traffic violation monitoring can be set and changed by the input unit 150 according to the region, the time, and the like.

(D)

In the above embodiment, a traffic violation management system that specifies the presence or absence of a traffic violation, the content of the violation, a person, and the like using a combination of an image captured by a single camera 10a and a detection result of a radar 10b has been described as an example. However, the present invention is not limited thereto.

For example, a system may be used in which the presence or absence of a traffic violation, the contents of a violation, and the like are determined by using a combination of a plurality of cameras, a combination of a plurality of cameras and various radars, or only various radars instead of the cameras.

(E)

In the above embodiment, the screen classified for each of the type of traffic violation, the certification probability, the amount of penalty, and the number of violations is displayed as an example of the item to be displayed in a switched manner. The present invention is not limited thereto.

For example, the display may be performed in a state in which a screen displayed by another specific item classification can be switched.

(F)

In the above embodiment, an example of specifying the contents (type) of the traffic violation, the vehicle violating the traffic violation, the person such as the driver, and the like using the image photographed from the front of the traveling vehicle by the camera 10a is described. But the invention is not limited thereto.

For example, the contents (types) of traffic violations, the violating vehicles, and the owners of the violating vehicles may be identified using images obtained by imaging a camera in the direction of the rear of the traveling vehicle.

In this case, since the driver of the offending vehicle cannot be identified from the image, all persons can be identified from the vehicle license plate (license number) of the offending vehicle and the like.

In addition, when a camera is provided in a direction to photograph the rear part of the traveling vehicle, the front of the traffic signal and the offending vehicle can be photographed so as to be included in 1 image. In this case, the blind offending vehicle and its owner can be identified from the 1 image.

Thus, when the driver's identification is not a requirement for recognizing a traffic violation, a camera may be provided in a direction of photographing the rear portion of the traveling vehicle.

(G)

In the above embodiment, as shown in fig. 1(a), the present system 100 has been described taking an example of detecting the content (type) of a traffic violation and a person associated therewith using a plurality of images continuously captured by the cameras 10a provided at intersections or the detection results of the radars 10 b. However, the present invention is not limited thereto.

For example, the camera may be installed not only at an intersection but also on a straight road with a wide field of view where a speeding violation is likely to occur, or on another road where a traffic violation is likely to occur.

In this case, the content (type) of the traffic violation that is likely to occur in each road environment differs, and the detection processing may be performed by locking the traffic violation detected in the present system.

(H)

The above-described embodiment will be described as an example of a configuration in which the display device 20 according to the present invention includes the display unit 17 such as a liquid crystal display included in the traffic violation management system 100. The present invention is not limited thereto.

For example, the display device may be provided separately from the traffic violation management system. In this case, the same effect as that of the above-described embodiment can be obtained by acquiring necessary information from a storage unit or the like in which the violation information specified in the traffic violation management system is stored and displaying the acquired information.

(I)

In the above embodiment, the traffic violation management system 100 that performs detection and management of a traffic violation in a police station or the like using a plurality of images sent from the camera 10a as an external device or a detection result of the radar 10b is described as an example. 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 an imaging unit such as a camera or various sensors such as a radar.

In this case, the image acquisition unit may be installed in a place such as a road where the image pickup unit is installed, and another storage unit may be installed in a police station or the like. Further, information may be transmitted from the image acquisition unit to a device installed in a police station or the like by wireless or the like.

(J)

In the above embodiment, as shown in fig. 1(a) and 1(b), an example in which 1 camera 10a is provided for 1 traffic lane and an image for specifying the contents of a violation or the like is acquired will be described as an example. The present invention is not limited thereto.

For example, 1 camera may be provided for a plurality of traffic lanes to acquire an image for specifying the contents of a violation or the like.

In this case, by providing a camera having a field of view and a resolution covering a plurality of traffic lanes, it is possible to effectively detect a violation vehicle from among target vehicles traveling in a plurality of traffic lanes. Therefore, the structure of the system can be further simplified.

Also, the shooting direction of the camera is not limited to the direction along the traveling direction of the road.

For example, a camera is provided on a pillar provided at a portion of a curved corner of an intersection to photograph the entire intersection, and the contents (type) of a traffic violation, a violation vehicle, a driver or owner of the violation vehicle, and the like can be specified using the image.

Alternatively, a camera is provided on a post of a traffic signal provided at a bending angle portion of the intersection to photograph the entire intersection, and the contents (type) of the traffic violation, the violation vehicle, the driver or owner of the violation vehicle, and the like can be specified by using the image.

In this case, since the camera can photograph the entire intersection, there is a possibility that a violation vehicle and its driver, etc. that violate the right-left turn prohibition violation can be identified.

(K)

In the above-described embodiment, the traffic violation detection/management in the present system is described in detail by taking an overspeed and disregard signal as an example. However, the present invention is not limited thereto.

For example, traffic violations that can be detected and managed in the present system include a no-pass/no-U-turn violation, a passing area division violation, a reverse run, an overtaking prohibition violation, a no-stop yielding, a parking place violation, a passing area violation, a priority passing area violation such as a route bus, a no-holding-in-vehicle distance, no lighting, a use of a mobile phone, and the like.

That is, in the present system, it is possible to detect traffic violations other than the above-described traffic violations by using images captured by a camera or the like, or detection results of radar or the like, and to detect and manage various traffic violations prescribed by laws and the like determined in various countries.

Industrial applicability

The display device of the present invention effectively displays information related to a plurality of traffic violations, thereby achieving an effect of improving the efficiency of supervision, and is expected to be widely used as a traffic violation management system of each country by setting a determination criterion or the like in accordance with a traffic regulation of each country.

Claims

1. A display device for traffic violation monitoring, comprising:

a display unit that displays information for monitoring traffic violations; and

a display control unit that performs display control of the display unit in the following manner: the display screen for collecting information on a plurality of traffic violations for each item can be generated and the display screens can be switched for each item in order to determine, from information including 1 or a plurality of images of a violation vehicle, an item of certification probability calculated for the purpose of judging whether or not reliability of certification is collected, which is sufficient information for certifying a traffic violation, when at least 1 or more items of the type of a traffic violation, the date and time of a violation, the number of violations, and the amount of fine, and the supervision of a traffic violation.

2. The display device according to claim 1,

the display control unit displays the contents of the respective traffic violations on the display unit in a state of being sorted in order from the side having the higher certification probability when the user selects the display screen on which the information on the plurality of traffic violations is collected with respect to the certification probability for the supervision of each traffic violation.

3. The display device according to claim 1,

the display control unit displays information related to each violator on the display unit in a state of being sorted in order from the party having the larger number of violations, when a user selects a display screen on which information on a plurality of traffic violations is collected for each number of violations.

4. The display device according to claim 1,

the display control unit displays information related to each violator on the display unit in a state of being arranged in order from the higher side of the amount of the penalty when the user selects the display screen on which the information on the plurality of traffic violations is displayed for each amount of the penalty.

5. The display device according to any one of claims 1 to 4,

the display control unit combines the image for identifying the violator who violates the traffic violation with the content of the traffic violation, so that the information for performing the supervision related to the individual traffic violation is displayed on the display unit.

6. The display device according to claim 1,

the type of the traffic violation is determined by images obtained by continuously photographing an image pickup unit of a road or detection results using various radars.

7. The display device according to claim 1,

the violators include the driver, co-passenger, owner, and employer of the violation vehicle.

8. A traffic violation management system, comprising:

the display device according to any one of claims 1 to 7;

a violation determination unit that determines a kind of traffic violation;

a person determination unit that determines at least one of a driver, an owner, and a fellow passenger of the traffic violation vehicle determined by the violation determination unit; and

and a storage unit for storing the determined type of the traffic violation and at least one of the determined driver, owner, and fellow passenger of the violation vehicle in association with each other as information relating to the same violation.