CN105654734A - Data processing method and device for vehicle violations - Google Patents
Data processing method and device for vehicle violations Download PDFInfo
- Publication number
- CN105654734A CN105654734A CN201610147593.3A CN201610147593A CN105654734A CN 105654734 A CN105654734 A CN 105654734A CN 201610147593 A CN201610147593 A CN 201610147593A CN 105654734 A CN105654734 A CN 105654734A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- described vehicle
- detected
- image
- present road
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a data processing method for vehicle violations. The method comprises the steps that when it is detected that a vehicle passes by a current road, whether the detected vehicle violates rules or not is determined; when the vehicle violates the rules, a camera is controlled to shoot the vehicle to obtain a vehicle image and violation information of the vehicle; based on the obtained vehicle image, license plate recognition is conducted to obtain license plate information of the vehicle; the vehicle image, the license plate information and the violation information are sent to a control platform. The invention further discloses a data processing device for the vehicle violations. Through the method and device, violation vehicles in the current road are detected in real time, information corresponding to the violation vehicles is associated and stored to the control platform, then automatic evidence taking on the vehicle violations is realized, the workload of vehicle violation evidence taking is greatly reduced, and the efficiency of vehicle violation evidence taking is improved.
Description
Technical field
The present invention relates to communication technical field, particularly relate to data processing method and the device of a kind of vehicle peccancy behavior.
Background technology
Along with being continuously increased of automobile pollution, the raising of running velocity, vehicle accident amount is continuously increased, and have impact on the orthobiosis of the development of national economy and the people. Cause that one of principal element that vehicle accident amount increases is the various violation violation event of vehicle artificial and non-artificial generation in the process of moving. Especially motor vehicles makes a dash across the red light, pedestrian and other vehicles are produced security threat by the behavior such as hypervelocity.
During existing traffic safety facilities is built, it is possible to monitor and record the violation process violating the regulations of above-mentioned event, and by process record violating the regulations for the violation of vehicle in storage medium. But, need from storage medium, manually extract each evidence such as the car plate in process, violation information of breaking rules and regulations in violation of rules and regulations, and when process data violating the regulations is bigger in violation of rules and regulations, the evidence extracting each process record of breaking rules and regulations in violation of rules and regulations from storage medium needs to consume substantial amounts of workload.
Summary of the invention
The present invention provides data processing method and the device of a kind of vehicle peccancy behavior, it is intended to solve the technical problem that during existing vehicle peccancy, the workload of evidences collection is bigger.
For achieving the above object, the data processing method of a kind of vehicle peccancy behavior provided by the invention, the data processing method of described vehicle peccancy behavior comprises the following steps:
When having vehicle to pass through in present road being detected, it is determined that whether the described vehicle detected breaks rules and regulations;
When described vehicle peccancy, control video camera and shoot described vehicle to obtain vehicle image, and obtain the violation information of described vehicle;
Car license recognition is carried out to obtain the license board information of described vehicle based on the vehicle image obtained;
Described vehicle image, license board information and violation information are sent to parametric controller, for described vehicle image, license board information and violation information that the association storage of described parametric controller receives.
Preferably, present road is the crossing being provided with traffic lights, when having vehicle to pass through in present road being detected, it is determined that the step whether described vehicle detected breaks rules and regulations includes:
When having vehicle to pass through in present road being detected, obtain the state of the traffic lights at current crossing;
Whether the state determining the described traffic lights of acquisition is red light phase, wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy.
Preferably, the described step determining whether the described vehicle detected breaks rules and regulations includes:
When having vehicle to pass through in present road being detected, obtain the travel direction of the described vehicle detected;
Determine that whether the described travel direction of the acquisition angle with the current direction of present road is less than 90 degree, wherein, when described angle is more than 90 degree, it is determined that described vehicle peccancy.
Preferably, described when having vehicle to pass through in present road being detected, it is determined that the step whether described vehicle detected breaks rules and regulations includes:
When having vehicle to pass through in present road being detected, obtain the speed of the described vehicle detected and the maximum speed limit of present road;
Determine that the speed of described vehicle is whether more than the maximum speed limit of present road, wherein, when the speed of described vehicle is more than described maximum speed limit, it is determined that described vehicle peccancy.
Preferably, described carry out Car license recognition include with the step obtaining the license board information of described vehicle based on the vehicle image obtained:
Described vehicle image determines car plate region, and based on a determination that region segmentation go out characters on license plate image;
The characters on license plate image obtained is normalized operation;
Characters on license plate image after normalized extract image information features and is identified, to determine the character content of described characters on license plate image, obtaining license board information.
Additionally, for achieving the above object, the present invention also provides for the data processing equipment of a kind of vehicle peccancy behavior, and the data processing equipment of described vehicle peccancy behavior includes:
Determine module, during for there being vehicle to pass through in present road being detected, it is determined that whether the described vehicle detected breaks rules and regulations;
Control module, for when described vehicle peccancy, controlling video camera and shoot described vehicle to obtain vehicle image, and obtain the violation information of described vehicle;
Identification module, for carrying out Car license recognition to obtain the license board information of described vehicle based on the vehicle image obtained;
Sending module, for sending described vehicle image, license board information and violation information to parametric controller, for described vehicle image, license board information and violation information that the association storage of described parametric controller receives.
Preferably, present road is the crossing being provided with traffic lights, described determines that module includes:
State acquiring unit, during for there being vehicle to pass through in present road being detected, obtains the state of the traffic lights at current crossing;
Whether first determines unit, be red light phase for determining the state of the described traffic lights of acquisition, wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy.
Preferably, described determine that module includes:
Direction acquiring unit, during for there being vehicle to pass through in present road being detected, obtains the travel direction of the described vehicle detected;
Second determines unit, whether is used for the described travel direction the determining acquisition angle with the current direction of present road less than 90 degree, wherein, when described angle is more than 90 degree, it is determined that described vehicle peccancy.
Preferably, described determine that module includes:
Speed acquiring unit, during for there being vehicle to pass through in present road being detected, obtains the speed of the described vehicle detected and the maximum speed limit of present road;
3rd determines unit, for determining that the speed of described vehicle is whether more than the maximum speed limit of present road, wherein, when the speed of described vehicle is more than described maximum speed limit, it is determined that described vehicle peccancy.
Preferably, described identification module includes:
Area determination unit, for determining car plate region in described vehicle image, and based on a determination that region segmentation go out characters on license plate image;
Normalization unit, for being normalized operation to the characters on license plate image obtained;
Extraction unit, for extracting image information features in the characters on license plate image after normalized and being identified, to determine the character content of described characters on license plate image, obtains license board information.
When the present invention by there being vehicle to pass through in present road being detected, determine whether the described vehicle detected breaks rules and regulations, then when described vehicle peccancy, control video camera and shoot described vehicle to obtain vehicle image, and obtain the violation information of described vehicle, then carry out Car license recognition to obtain the license board information of described vehicle based on the vehicle image obtained, then by described vehicle image, license board information and violation information send to parametric controller, for the described vehicle image that the association storage of described parametric controller receives, license board information and violation information, achieve and detect the vehicles peccancy in present road in real time and information association corresponding for vehicles peccancy is stored to parametric controller, and then achieve the automatic evidence-collecting of vehicle peccancy, greatly reduce the workload of vehicle peccancy evidences collection, and the process of the detection of this vehicle peccancy and evidences collection is not affected by time condition, the impact of time, improve the coverage of law enforcement, improve the efficiency of vehicle peccancy evidences collection.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the data processing method first embodiment of vehicle peccancy behavior of the present invention;
Fig. 2 be vehicle peccancy behavior of the present invention data processing method the second embodiment in determine the refinement schematic flow sheet of described vehicle whether violation step;
Fig. 3 be vehicle peccancy behavior of the present invention data processing method the 3rd embodiment in determine the refinement schematic flow sheet of described vehicle whether violation step;
Fig. 4 be vehicle peccancy behavior of the present invention data processing method the 4th embodiment in determine the refinement schematic flow sheet of described vehicle whether violation step;
Fig. 5 be vehicle peccancy behavior of the present invention data processing method the 5th embodiment in carry out the refinement schematic flow sheet of Car license recognition step based on the vehicle image obtained;
Fig. 6 is the high-level schematic functional block diagram of the data processing equipment first embodiment of vehicle peccancy behavior of the present invention;
Fig. 7 be vehicle peccancy behavior of the present invention data processing equipment the second embodiment in determine the refinement high-level schematic functional block diagram of module;
Fig. 8 be vehicle peccancy behavior of the present invention data processing equipment the 3rd embodiment in determine the refinement high-level schematic functional block diagram of module;
Fig. 9 be vehicle peccancy behavior of the present invention data processing equipment the 4th embodiment in determine the refinement high-level schematic functional block diagram of module;
Figure 10 be vehicle peccancy behavior of the present invention data processing equipment the 5th embodiment in the refinement high-level schematic functional block diagram of identification module.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Detailed description of the invention
Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
The present invention provides the data processing method of a kind of vehicle peccancy behavior. Schematic flow sheet with reference to the data processing method first embodiment that Fig. 1, Fig. 1 are vehicle peccancy behavior of the present invention.
In the present embodiment, the data processing method of this vehicle peccancy behavior includes:
Step S10, when having vehicle to pass through in present road being detected, it is determined that whether the described vehicle detected breaks rules and regulations;
In the present embodiment, adopt vehicle equipment that vehicle is detected, present road refers to the road at vehicle equipment place, and present road is monitored by vehicle equipment in real time, whether have vehicle to pass through in present road to determine, when having vehicle to pass through in present road being detected, the data processing equipment of vehicle peccancy behavior determines whether the described vehicle detected breaks rules and regulations, wherein, vehicle peccancy includes this running red light for vehicle, hypervelocity, retrograde, parking offense etc.
Step S20, when described vehicle peccancy, controls video camera and shoots described vehicle to obtain vehicle image, and obtain the violation information of described vehicle;
When examining the vehicle peccancy that car arrives, control video camera and shoot described vehicle to obtain vehicle image and to obtain the violation information of described vehicle, in the present embodiment, adopting 360 degree of space reduction Intelligent high-definition ball videos of panorama to shoot described vehicle with collection vehicle image, three-dimensional 360 degree of panoramas are fully shown in the picture in six orientation by 360 degree of space reduction Intelligent high-definition ball videos of panorama by two fish-eye imagings. 360 degree of space reduction Intelligent high-definition ball videos of panorama can monitor 360 degree of panoramic spaces simultaneously continuously, and all personnel and activity are covered all at one glance, and will not miss and miss accident, real without blind spot; Two video cameras simultaneously arranging PTZ, this PTZ outfit in monitoring system can obtain high-resolution topography, follows target and moves, it is simple to target recognition; Integrated design, various scenes are installed simple, it is not necessary to completely must at upper air installing as single flake ball; 360 degree of space reduction Intelligent high-definition ball videos of panorama have the transmission of standard HD video, it is possible to use (IP) for big system, it is also possible to use (HD-SDI) as independent system; 360 degree of space reduction Intelligent high-definition ball videos of panorama provide the covering on a large scale to target and monitoring, panorama 360 degree of space reduction Intelligent high-definition ball video+PTZ provide high-resolution target following image, when focusing on jobbie target, remain to keep the continual monitoring to panorama, and follow the tracks of multiple target. The violation information of vehicle includes running red light for vehicle, overspeed violation information, drive in the wrong direction violation information, parking offense information etc.
Step S30, carries out Car license recognition to obtain the license board information of described vehicle based on the vehicle image obtained;
Wherein, the idiographic flow carrying out Car license recognition according to vehicle image is: determines car plate region in described vehicle image and is partitioned into license plate image, described license plate image is partitioned into characters on license plate image and is normalized, characters on license plate image after normalized extracts image information features and is identified, to determine the character content of described characters on license plate image, and then obtain license board information.
Step S40, sends described vehicle image, license board information and violation information to parametric controller, for described vehicle image, license board information and violation information that the association storage of described parametric controller receives.
In the present embodiment, parametric controller can be the management console of Department of Communications, by by described vehicle image, license board information and violation information send to parametric controller, parametric controller is receiving described vehicle image, when license board information and violation information, the described vehicle image that association storage receives, license board information and violation information, and then can make whether the vehicle that user (driver) inquires about this license board information corresponding in time breaks rules and regulations, improve accuracy rate and the efficiency of record violation information, realize automatic evidence-collecting violating the regulations, and the data processing method of the vehicle peccancy behavior of the present embodiment is not affected by time condition, the impact of time, improve the coverage of law enforcement, make administration section local without law enforcement blind area, and it is capable of crossing unattended duty, thus the contradiction alleviated between day by day busy traffic administration and police strength deficiency, and then vehicle peccancy phenomenon can be reduced.
In the present embodiment, during by there being vehicle to pass through in present road being detected, determine whether the described vehicle detected breaks rules and regulations, then when described vehicle peccancy, control video camera and shoot described vehicle to obtain vehicle image, and obtain the violation information of described vehicle, then carry out Car license recognition to obtain the license board information of described vehicle based on the vehicle image obtained, then by described vehicle image, license board information and violation information send to parametric controller, for the described vehicle image that the association storage of described parametric controller receives, license board information and violation information, achieve and detect the vehicles peccancy in present road in real time and information association corresponding for vehicles peccancy is stored to parametric controller, and then achieve the automatic evidence-collecting of vehicle peccancy, greatly reduce the workload of vehicle peccancy evidences collection, and the process of the detection of this vehicle peccancy and evidences collection is not affected by time condition, the impact of time, improve the coverage of law enforcement, improve the efficiency of vehicle peccancy evidences collection.
Propose the second embodiment of the data processing method of vehicle peccancy behavior of the present invention based on first embodiment, with reference to Fig. 2, in the present embodiment, present road is the crossing being provided with traffic lights, and step S10 includes:
Step S11, when having vehicle to pass through in present road being detected, obtains the state of the traffic lights at current crossing;
In the present embodiment, when having vehicle to pass through in present road being detected, detecting the state of the traffic lights at current crossing, wherein, the state of traffic lights includes red light phase, amber light state and green light phase.
Step S12, it is determined that whether the state of the described traffic lights of acquisition is red light phase, wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy.
Wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy, and violation information is red light violation, when the state of traffic lights is amber light state or green light phase, it is determined that described vehicle is not broken rules and regulations.
In the present embodiment, during by there being vehicle to pass through in present road being detected, obtain the state of the traffic lights at current crossing, whether the state then determining the described traffic lights of acquisition is red light phase, can judge whether this vehicle makes a dash across the red light accurately according to the state of the traffic lights at current crossing, and follow-up flow process is continued executing with when running red light for vehicle, improve accuracy and efficiency that red light violation judges, further increase the efficiency of vehicle peccancy evidences collection and the efficiency of vehicle violation enforcement.
Propose the 3rd embodiment of the data processing method of vehicle peccancy behavior of the present invention based on first embodiment, with reference to Fig. 3, in the present embodiment, step S10 includes:
Step S13, when having vehicle to pass through in present road being detected, obtains the travel direction of the described vehicle detected;
In this enforcement, whether the current direction of travel direction with present road by judging vehicle is consistent, namely can determine whether whether vehicle is retrograde, wherein, when travel direction and present road current in opposite direction of vehicle, it is determined that retrograde for vehicle. Therefore, when having vehicle to pass through in present road being detected, first obtain the travel direction of the described vehicle detected.
Step S14, it is determined that whether the angle in the described travel direction of acquisition and the current direction of present road is less than 90 degree, wherein, when described angle is more than 90 degree, it is determined that described vehicle peccancy.
In the present embodiment, the travel direction of the vehicle angle with the current direction of present road can be utilized to detect retrograde event, specifically, road middle lane line can be calculated along the vector of road direction as road direction vector, can by the current direction of the travel direction of vehicle and present road respectively with vector representation, then the travel direction of vehicle and the angle in the current direction of present road are calculated, easy to understand, when vehicle drives in the wrong direction, the angle in the current direction of this travel direction and present road is more than 90 degree, during normal vehicle operation, the angle in the current direction of travel direction and present road is less than 90 degree, therefore, when described angle is more than 90 degree, judge described vehicle peccancy, and violation information is violating the regulations for driving in the wrong direction. wherein, the current direction of present road can obtain at parametric controller according to the identification information of present road, it is also possible to directly obtains in the data processing equipment of vehicle peccancy behavior.
In the present embodiment, during by there being vehicle to pass through in present road being detected, obtain the travel direction of the described vehicle detected, determine that whether the described travel direction of the acquisition angle with the current direction of present road is less than 90 degree, achieve the angle according to vehicle heading Yu the current direction of present road and judge whether this vehicle drives in the wrong direction accurately, and continue executing with follow-up flow process when vehicle drives in the wrong direction, improve vehicle to drive in the wrong direction the violating the regulations accuracy judged and efficiency, further increase the efficiency of vehicle peccancy evidences collection.
Propose the 4th embodiment of the data processing method of vehicle peccancy behavior of the present invention based on first embodiment, with reference to Fig. 4, in the present embodiment, step S10 includes:
Step S15, when having vehicle to pass through in present road being detected, obtains the speed of the described vehicle detected and the maximum speed limit of present road;
Wherein, the maximum speed limit of present road can obtain at parametric controller according to the identification information of present road, it is also possible to directly obtaining in the data processing equipment of vehicle peccancy behavior, the speed of vehicle can be obtained by speed measuring equipment.
Step S16, it is determined that whether the speed of described vehicle is more than the maximum speed limit of present road, wherein, when the speed of described vehicle is more than described maximum speed limit, it is determined that described vehicle peccancy.
In the present embodiment, during by there being vehicle to pass through in present road being detected, obtain the speed of the described vehicle detected and the maximum speed limit of present road, then determine that the speed of described vehicle is whether more than the maximum speed limit of present road, the maximum speed limit achieving the speed according to vehicle and present road judges whether this vehicle exceeds the speed limit accurately, and follow-up flow process is continued executing with when overspeed of vehicle, improve accuracy and efficiency that vehicle overspeed violation judges, further increase the efficiency of vehicle peccancy evidences collection.
Propose the 5th embodiment of the data processing method of vehicle peccancy behavior of the present invention based on first embodiment, with reference to Fig. 5, in the present embodiment, step S30 includes:
Step S31, determines car plate region in described vehicle image, and based on a determination that region segmentation go out characters on license plate image;
In the present embodiment, from vehicle image, the mode in positioning licence plate region is a lot, owing to License Plate needs to consider the impact of various external factor that may be present, such as illumination, weather, car plate defect and pollution etc., therefore, its corresponding computational efficiency of different algorithm of locating license plate of vehicle and degree of accuracy also and differ.
Existing algorithm of locating license plate of vehicle generally all can consider that the feature of car plate itself realizes, in location algorithm, the inherent feature of car plate is attribute the most reliable and the most stable, license plate area has a lot of feature as marked feature, can be specifically divided into geometric properties, color characteristic, textural characteristics and position feature etc. in the present embodiment.
After determining car plate region, from vehicle image, it is partitioned into car plate region, obtains license plate image. Such as, utilizing licence plate to have the feature of tetragon frame, by detecting the long straightway in image, the method then scanned for by certain constraints determines the position of licence plate. Or such as, the method utilizing statistics projection histogram, by the histogrammic analysis of Gray Projection to the vehicle image horizontal and vertical directions gathered, infer the position of license plate. Then according to the above-mentioned correlated characteristic of character in car plate, from license plate image, characters on license plate image it is partitioned into, for instance first determine the border up and down of characters on license plate, namely determine the boundary line of car plate; Then further according to the fixed interval (FI) between character each in car plate, the character in car plate is split one by one.
Additionally, due to by the restriction of shooting condition, always unavoidably there is certain inclination in the car plate in vehicle image, therefore, further alternative, and the license plate area being partitioned into is carried out slant correction, in order to the precision for follow-up raising character recognition creates conditions. In the present embodiment, optionally, after determining car plate region, can by analyzing the color of car plate region, it is determined that car plate color, it is such as blue car plate or yellow car plate etc. In the present embodiment, the mode for determining car plate color is not limit, and is configured with specific reference to being actually needed, and such as adds up the color percentage ratio of car plate region, to determine car plate color.
In the present embodiment, before step S31, it is possible to first described vehicle image is carried out Image semantic classification, wherein, Image semantic classification at least includes colour correction, image filtering, gray processing, binary conversion treatment.In the present embodiment, by the vehicle image gathered is carried out pretreatment, in order to create conditions for subsequent treatment, promote the accuracy for the treatment of effeciency and identification. Gather in various different environment during due to image, thus illumination condition alters a great deal, cause that some image gathered becomes very dark due to shade, contrast is also just relatively low, so that carry out the pretreatment of image in advance, noise to reduce the impact of illumination condition, in the contrast improving image the vehicle image eliminating collection.
Step S32, is normalized operation to the characters on license plate image obtained;
In the present embodiment, further the multiple characters on license plate images being partitioned into are normalized, with the size of unified each characters on license plate image.
Step S33, extracts image information features and is identified, to determine the character content of described characters on license plate image, obtaining license board information in the characters on license plate image after normalized.
Characters on license plate generally comprises Chinese character, alphabetical and digital, in the present embodiment, for promoting character recognition precision, it is preferred to arrange the character recognition algorithm of correspondence for different character types, specifically using the image information features of the characters on license plate image of extraction as basis of characterization, realize the identification to each character content of car plate in conjunction with the character recognition algorithm preset and determine. The present embodiment preferably employs Corpus--based Method method be identified.
The present embodiment by determining car plate region in described vehicle image, and based on a determination that region segmentation go out characters on license plate image, then the characters on license plate image obtained is normalized operation, characters on license plate image after normalized then extracts image information features and is identified, so that it is determined that the character content of characters on license plate image obtain the final result of Car license recognition, promote the degree of accuracy that Car license recognition processes.
The present invention further provides the data processing equipment of a kind of vehicle peccancy behavior. High-level schematic functional block diagram with reference to the data processing equipment first embodiment that Fig. 6, Fig. 6 are vehicle peccancy behavior of the present invention.
In the present embodiment, the data processing equipment of this vehicle peccancy behavior includes:
Determine module 10, during for there being vehicle to pass through in present road being detected, it is determined that whether the described vehicle detected breaks rules and regulations;
In the present embodiment, adopt vehicle equipment that vehicle is detected, present road refers to the road at vehicle equipment place, and present road is monitored by vehicle equipment in real time, whether have vehicle to pass through in present road to determine, when having vehicle to pass through in present road being detected, the data processing equipment of vehicle peccancy behavior determines whether the described vehicle detected breaks rules and regulations, wherein, vehicle peccancy includes this running red light for vehicle, hypervelocity, retrograde, parking offense etc.
Control module 20, for when described vehicle peccancy, controlling video camera and shoot described vehicle to obtain vehicle image, and obtain the violation information of described vehicle;
Identification module 30, for carrying out Car license recognition to obtain the license board information of described vehicle based on the vehicle image obtained;
Wherein, the idiographic flow carrying out Car license recognition according to vehicle image is: determines car plate region in described vehicle image and is partitioned into license plate image, described license plate image is partitioned into characters on license plate image and is normalized, characters on license plate image after normalized extracts image information features and is identified, to determine the character content of described characters on license plate image, and then obtain license board information.
Sending module 40, for sending described vehicle image, license board information and violation information to parametric controller, for described vehicle image, license board information and violation information that the association storage of described parametric controller receives.
In the present embodiment, parametric controller can be the management console of Department of Communications, by sending module 40 by described vehicle image, license board information and violation information send to parametric controller, parametric controller is receiving described vehicle image, when license board information and violation information, the described vehicle image that association storage receives, license board information and violation information, and then can make whether the vehicle that user (driver) inquires about this license board information corresponding in time breaks rules and regulations, improve accuracy rate and the efficiency of record violation information, realize automatic evidence-collecting violating the regulations, and the data processing method of the vehicle peccancy behavior of the present embodiment is not affected by time condition, the impact of time, improve the coverage of law enforcement, make administration section local without law enforcement blind area, and it is capable of crossing unattended duty, thus the contradiction alleviated between day by day busy traffic administration and police strength deficiency, and then vehicle peccancy phenomenon can be reduced.
In the present embodiment, during by there being vehicle to pass through in present road being detected, determine that module 10 determines whether the described vehicle detected breaks rules and regulations, then when described vehicle peccancy, control module 20 and control the video camera described vehicle of shooting to obtain vehicle image, and obtain the violation information of described vehicle, then identification module 30 carries out Car license recognition to obtain the license board information of described vehicle based on the vehicle image obtained, then sending module 40 is by described vehicle image, license board information and violation information send to parametric controller, for the described vehicle image that the association storage of described parametric controller receives, license board information and violation information, achieve and detect the vehicles peccancy in present road in real time and information association corresponding for vehicles peccancy is stored to parametric controller, and then achieve the automatic evidence-collecting of vehicle peccancy, greatly reduce the workload of vehicle peccancy evidences collection, and the process of the detection of this vehicle peccancy and evidences collection is not affected by time condition, the impact of time, improve the coverage of law enforcement, improve the efficiency of vehicle peccancy evidences collection.
Propose second embodiment of data processing equipment of vehicle peccancy behavior of the present invention based on first embodiment, with reference to Fig. 7, in the present embodiment, present road is the crossing being provided with traffic lights, described determines that module includes:
State acquiring unit 11, during for there being vehicle to pass through in present road being detected, obtains the state of the traffic lights at current crossing;
In the present embodiment, when having vehicle to pass through in present road being detected, detecting the state of the traffic lights at current crossing, wherein, the state of traffic lights includes red light phase, amber light state and green light phase.
Whether first determines unit 12, be red light phase for determining the state of the described traffic lights of acquisition, wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy.
Wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy, and violation information is red light violation, when the state of traffic lights is amber light state or green light phase, it is determined that described vehicle is not broken rules and regulations.
In the present embodiment, during by there being vehicle to pass through in present road being detected, state acquiring unit 11 obtains the state of the traffic lights at current crossing, then first determines that unit 12 determines whether the state of the described traffic lights of acquisition is red light phase, can judge whether this vehicle makes a dash across the red light accurately according to the state of the traffic lights at current crossing, and follow-up flow process is continued executing with when running red light for vehicle, improve accuracy and efficiency that red light violation judges, further increase the efficiency of vehicle peccancy evidences collection.
3rd embodiment of the data processing equipment of vehicle peccancy behavior of the present invention is proposed based on first embodiment, with reference to Fig. 8, in the present embodiment, it is determined that module includes:
Direction acquiring unit 13, during for there being vehicle to pass through in present road being detected, obtains the travel direction of the described vehicle detected;
In this enforcement, whether the current direction of travel direction with present road by judging vehicle is consistent, namely can determine whether whether vehicle is retrograde, wherein, when travel direction and present road current in opposite direction of vehicle, it is determined that retrograde for vehicle. Therefore, when having vehicle to pass through in present road being detected, first obtain the travel direction of the described vehicle detected.
Second determines unit 14, whether is used for the described travel direction the determining acquisition angle with the current direction of present road less than 90 degree, wherein, when described angle is more than 90 degree, it is determined that described vehicle peccancy.
In the present embodiment, the travel direction of the vehicle angle with the current direction of present road can be utilized to detect retrograde event, specifically, road middle lane line can be calculated along the vector of road direction as road direction vector, by the current direction of the travel direction of vehicle and present road respectively with vector representation, then the travel direction of vehicle and the angle in the current direction of present road are calculated, easy to understand, when vehicle drives in the wrong direction, the angle in the current direction of this travel direction and present road is more than 90 degree, during normal vehicle operation, the angle in the current direction of travel direction and present road is less than 90 degree, therefore, when described angle is more than 90 degree, judge described vehicle peccancy, and violation information is violating the regulations for driving in the wrong direction. wherein, the current direction of present road can obtain at parametric controller according to the identification information of present road, it is also possible to directly obtains in the data processing equipment of vehicle peccancy behavior.
In the present embodiment, during by there being vehicle to pass through in present road being detected, direction acquiring unit 13 obtains the travel direction of the described vehicle detected, second determines that unit 14 determines that whether the described travel direction of the acquisition angle with the current direction of present road is less than 90 degree, achieve the angle according to vehicle heading Yu the current direction of present road and judge whether this vehicle drives in the wrong direction accurately, and continue executing with follow-up flow process when vehicle drives in the wrong direction, improve vehicle to drive in the wrong direction the violating the regulations accuracy judged and efficiency, further increase the efficiency of vehicle peccancy evidences collection.
4th embodiment of the data processing equipment of vehicle peccancy behavior of the present invention is proposed based on first embodiment, with reference to Fig. 9, in the present embodiment, it is determined that module includes:
Speed acquiring unit 15, during for there being vehicle to pass through in present road being detected, obtains the speed of the described vehicle detected and the maximum speed limit of present road;
Wherein, the maximum speed limit of present road can obtain at parametric controller according to the identification information of present road, it is also possible to directly obtaining in the data processing equipment of vehicle peccancy behavior, the speed of vehicle can be obtained by speed measuring equipment.
3rd determines unit 16, for determining that the speed of described vehicle is whether more than the maximum speed limit of present road, wherein, when the speed of described vehicle is more than described maximum speed limit, it is determined that described vehicle peccancy.
In the present embodiment, during by there being vehicle to pass through in present road being detected, speed acquiring unit 15 obtains the speed of the described vehicle detected and the maximum speed limit of present road, then the 3rd determines that unit 16 determines that the speed of described vehicle is whether more than the maximum speed limit of present road, the maximum speed limit achieving the speed according to vehicle and present road judges whether this vehicle exceeds the speed limit accurately, and follow-up flow process is continued executing with when overspeed of vehicle, improve accuracy and efficiency that vehicle overspeed violation judges, further increase the efficiency of vehicle peccancy evidences collection.
Propose the 5th embodiment of the data processing equipment of vehicle peccancy behavior of the present invention based on first embodiment, with reference to Figure 10, in the present embodiment, identification module 30 includes:
Area determination unit 31, for determining car plate region in described vehicle image, and based on a determination that region segmentation go out characters on license plate image;
In the present embodiment, from vehicle image, the mode in positioning licence plate region is a lot, owing to License Plate needs to consider the impact of various external factor that may be present, such as illumination, weather, car plate defect and pollution etc., therefore, its corresponding computational efficiency of different algorithm of locating license plate of vehicle and degree of accuracy also and differ.
Existing algorithm of locating license plate of vehicle generally all can consider that the feature of car plate itself realizes, in location algorithm, the inherent feature of car plate is attribute the most reliable and the most stable, license plate area has a lot of feature as marked feature, can be specifically divided into geometric properties, color characteristic, textural characteristics and position feature etc. in the present embodiment.
After determining car plate region, from vehicle image, it is partitioned into car plate region, obtains license plate image. Such as, utilizing licence plate to have the feature of tetragon frame, by detecting the long straightway in image, the method then scanned for by certain constraints determines the position of licence plate. Or such as, the method utilizing statistics projection histogram, by the histogrammic analysis of Gray Projection to the vehicle image horizontal and vertical directions gathered, infer the position of license plate. Then according to the above-mentioned correlated characteristic of character in car plate, from license plate image, characters on license plate image it is partitioned into, for instance first determine the border up and down of characters on license plate, namely determine the boundary line of car plate; Then further according to the fixed interval (FI) between character each in car plate, the character in car plate is split one by one.
Normalization unit 32, for being normalized operation to the characters on license plate image obtained;
The multiple characters on license plate images being partitioned into are normalized by the present embodiment further by normalization unit 32, with the size of unified each characters on license plate image.
Extraction unit 33, for extracting image information features in the characters on license plate image after normalized and being identified, to determine the character content of described characters on license plate image, obtains license board information.
Characters on license plate generally comprises Chinese character, alphabetical and digital, in the present embodiment, for promoting character recognition precision, it is preferred to arrange the character recognition algorithm of correspondence for different character types, specifically using the image information features of the characters on license plate image of extraction as basis of characterization, realize the identification to each character content of car plate in conjunction with the character recognition algorithm preset and determine. The present embodiment preferably employs Corpus--based Method method be identified.
The present embodiment determines car plate region by area determination unit 31 in described vehicle image, and based on a determination that region segmentation go out characters on license plate image, then the characters on license plate image obtained is normalized operation by normalization unit 32, the extraction unit 33 characters on license plate image after normalized then extracts image information features and is identified, so that it is determined that the character content of characters on license plate image obtain the final result of Car license recognition, promote the degree of accuracy that Car license recognition processes.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the present invention and accompanying drawing content to make or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all in like manner include in the scope of patent protection of the present invention.
Claims (10)
1. the data processing method of a vehicle peccancy behavior, it is characterised in that the data processing method of described vehicle peccancy behavior comprises the following steps:
When having vehicle to pass through in present road being detected, it is determined that whether the described vehicle detected breaks rules and regulations;
When described vehicle peccancy, control video camera and shoot described vehicle to obtain vehicle image, and obtain the violation information of described vehicle;
Car license recognition is carried out to obtain the license board information of described vehicle based on the vehicle image obtained;
Described vehicle image, license board information and violation information are sent to parametric controller, for described vehicle image, license board information and violation information that the association storage of described parametric controller receives.
2. the data processing method of vehicle peccancy behavior as claimed in claim 1, it is characterised in that present road is the crossing being provided with traffic lights, when having vehicle to pass through in present road being detected, it is determined that the step whether described vehicle detected breaks rules and regulations includes:
When having vehicle to pass through in present road being detected, obtain the state of the traffic lights at current crossing;
Whether the state determining the described traffic lights of acquisition is red light phase, wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy.
3. the data processing method of vehicle peccancy behavior as claimed in claim 1, it is characterised in that the described step determining whether the described vehicle detected breaks rules and regulations includes:
When having vehicle to pass through in present road being detected, obtain the travel direction of the described vehicle detected;
Determine that whether the described travel direction of the acquisition angle with the current direction of present road is less than 90 degree, wherein, when described angle is more than 90 degree, it is determined that described vehicle peccancy.
4. the data processing method of vehicle peccancy behavior as claimed in claim 1, it is characterised in that described when having vehicle to pass through in present road being detected, it is determined that the step whether described vehicle detected breaks rules and regulations includes:
When having vehicle to pass through in present road being detected, obtain the speed of the described vehicle detected and the maximum speed limit of present road;
Determine that the speed of described vehicle is whether more than the maximum speed limit of present road, wherein, when the speed of described vehicle is more than described maximum speed limit, it is determined that described vehicle peccancy.
5. the data processing method of the vehicle peccancy behavior as described in any one of Claims 1-4, it is characterised in that the described vehicle image based on acquisition carries out Car license recognition and includes with the step obtaining the license board information of described vehicle:
Described vehicle image determines car plate region, and based on a determination that region segmentation go out characters on license plate image;
The characters on license plate image obtained is normalized operation;
Characters on license plate image after normalized extract image information features and is identified, to determine the character content of described characters on license plate image, obtaining license board information.
6. the data processing equipment of a vehicle peccancy behavior, it is characterised in that the data processing equipment of described vehicle peccancy behavior includes:
Determine module, during for there being vehicle to pass through in present road being detected, it is determined that whether the described vehicle detected breaks rules and regulations;
Control module, for when described vehicle peccancy, controlling video camera and shoot described vehicle to obtain vehicle image, and obtain the violation information of described vehicle;
Identification module, for carrying out Car license recognition to obtain the license board information of described vehicle based on the vehicle image obtained;
Sending module, for sending described vehicle image, license board information and violation information to parametric controller, for described vehicle image, license board information and violation information that the association storage of described parametric controller receives.
7. the data processing equipment of vehicle peccancy behavior as claimed in claim 6, it is characterised in that present road is the crossing being provided with traffic lights, described determines that module includes:
State acquiring unit, during for there being vehicle to pass through in present road being detected, obtains the state of the traffic lights at current crossing;
Whether first determines unit, be red light phase for determining the state of the described traffic lights of acquisition, wherein, when the state of described traffic lights is red light phase, it is determined that described vehicle peccancy.
8. the data processing equipment of vehicle peccancy behavior as claimed in claim 6, it is characterised in that described determine that module includes:
Direction acquiring unit, during for there being vehicle to pass through in present road being detected, obtains the travel direction of the described vehicle detected;
Second determines unit, whether is used for the described travel direction the determining acquisition angle with the current direction of present road less than 90 degree, wherein, when described angle is more than 90 degree, it is determined that described vehicle peccancy.
9. the data processing equipment of vehicle peccancy behavior as claimed in claim 6, it is characterised in that described determine that module includes:
Speed acquiring unit, during for there being vehicle to pass through in present road being detected, obtains the speed of the described vehicle detected and the maximum speed limit of present road;
3rd determines unit, for determining that the speed of described vehicle is whether more than the maximum speed limit of present road, wherein, when the speed of described vehicle is more than described maximum speed limit, it is determined that described vehicle peccancy.
10. the data processing equipment of the vehicle peccancy behavior as described in any one of claim 6 to 9, it is characterised in that described identification module includes:
Area determination unit, for determining car plate region in described vehicle image, and based on a determination that region segmentation go out characters on license plate image;
Normalization unit, for being normalized operation to the characters on license plate image obtained;
Extraction unit, for extracting image information features in the characters on license plate image after normalized and being identified, to determine the character content of described characters on license plate image, obtains license board information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610147593.3A CN105654734A (en) | 2016-03-15 | 2016-03-15 | Data processing method and device for vehicle violations |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610147593.3A CN105654734A (en) | 2016-03-15 | 2016-03-15 | Data processing method and device for vehicle violations |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105654734A true CN105654734A (en) | 2016-06-08 |
Family
ID=56493718
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610147593.3A Pending CN105654734A (en) | 2016-03-15 | 2016-03-15 | Data processing method and device for vehicle violations |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105654734A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106205133A (en) * | 2016-09-12 | 2016-12-07 | 深圳市海力特科技有限责任公司 | Method based on Floating Car GPS information identification urban road travel direction |
| CN106297314A (en) * | 2016-11-03 | 2017-01-04 | 北京文安智能技术股份有限公司 | A kind of drive in the wrong direction or the detection method of line ball vehicle behavior, device and a kind of ball machine |
| CN106652063A (en) * | 2016-12-20 | 2017-05-10 | 北京速通科技有限公司 | Free-flow electronic charging method and system for bidirectional lane |
| CN106652472A (en) * | 2017-01-16 | 2017-05-10 | 广西信路威科技发展有限公司 | Black list vehicle recognition speech alarming method and system |
| CN109559536A (en) * | 2018-12-10 | 2019-04-02 | 百度在线网络技术（北京）有限公司 | Traffic lights, traffic light recognition method, device, equipment and storage medium |
| CN110083736A (en) * | 2019-04-25 | 2019-08-02 | 上海易点时空网络有限公司 | Violation information processing method and processing device |
| WO2019206252A1 (en) * | 2018-04-27 | 2019-10-31 | Shanghai Truthvision Information Technology Co., Ltd. | Systems and methods for monitoring traffic sign violation |
| CN110738857A (en) * | 2018-07-18 | 2020-01-31 | 杭州海康威视数字技术股份有限公司 | vehicle violation evidence obtaining method, device and equipment |
| CN111047870A (en) * | 2018-10-12 | 2020-04-21 | 丰田自动车株式会社 | Traffic violation vehicle recognition system, server, and non-volatile storage medium storing vehicle control program |
| CN111932450A (en) * | 2020-09-27 | 2020-11-13 | 湖北安泰泽善科技有限公司 | Traffic violation data management method and device |
| CN113593233A (en) * | 2021-07-30 | 2021-11-02 | 深圳市路虎云实业有限公司 | Intelligent big data vehicle identification system based on traffic control |
| CN113885498A (en) * | 2021-10-08 | 2022-01-04 | 湖南三一华源机械有限公司 | Obstacle avoidance control method, control device and control system of road roller |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101123039A (en) * | 2007-09-14 | 2008-02-13 | 清华大学 | Red light overriding detection system and method based on digital video camera |
| CN101183427A (en) * | 2007-12-05 | 2008-05-21 | 浙江工业大学 | Computer vision based peccancy parking detector |
| CN101458871A (en) * | 2008-12-25 | 2009-06-17 | 北京中星微电子有限公司 | Intelligent traffic analysis system and application system thereof |
| CN101561270A (en) * | 2009-05-27 | 2009-10-21 | 天津理工大学 | Embedded omnidirectional ball vision object detection and mobile monitoring system and embedded omnidirectional ball vision object detection and mobile monitoring method |
| CN201535951U (en) * | 2009-09-23 | 2010-07-28 | 德瑞视(北京)科技发展有限公司 | Intelligent traffic integrated video monitoring system |
| KR101393391B1 (en) * | 2012-12-28 | 2014-05-12 | 한밭대학교 산학협력단 | Vehicle license plate recognition method based on embedded system |
| JP5665113B2 (en) * | 2010-06-28 | 2015-02-04 | 日本電気株式会社 | Image processing apparatus, image processing method, and program |
| CN205029748U (en) * | 2015-11-04 | 2016-02-10 | 唐山高新技术产业园区兴荣科技有限公司 | Two flake panorama camera device |
| CN105323447A (en) * | 2015-11-23 | 2016-02-10 | 上海汽车集团股份有限公司 | Multi-fisheye image processing method and device and vehicle |
-
2016
- 2016-03-15 CN CN201610147593.3A patent/CN105654734A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101123039A (en) * | 2007-09-14 | 2008-02-13 | 清华大学 | Red light overriding detection system and method based on digital video camera |
| CN101183427A (en) * | 2007-12-05 | 2008-05-21 | 浙江工业大学 | Computer vision based peccancy parking detector |
| CN101458871A (en) * | 2008-12-25 | 2009-06-17 | 北京中星微电子有限公司 | Intelligent traffic analysis system and application system thereof |
| CN101561270A (en) * | 2009-05-27 | 2009-10-21 | 天津理工大学 | Embedded omnidirectional ball vision object detection and mobile monitoring system and embedded omnidirectional ball vision object detection and mobile monitoring method |
| CN201535951U (en) * | 2009-09-23 | 2010-07-28 | 德瑞视(北京)科技发展有限公司 | Intelligent traffic integrated video monitoring system |
| JP5665113B2 (en) * | 2010-06-28 | 2015-02-04 | 日本電気株式会社 | Image processing apparatus, image processing method, and program |
| KR101393391B1 (en) * | 2012-12-28 | 2014-05-12 | 한밭대학교 산학협력단 | Vehicle license plate recognition method based on embedded system |
| CN205029748U (en) * | 2015-11-04 | 2016-02-10 | 唐山高新技术产业园区兴荣科技有限公司 | Two flake panorama camera device |
| CN105323447A (en) * | 2015-11-23 | 2016-02-10 | 上海汽车集团股份有限公司 | Multi-fisheye image processing method and device and vehicle |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106205133B (en) * | 2016-09-12 | 2018-09-25 | 深圳市海力特科技有限责任公司 | The method for identifying urban road travel direction based on Floating Car GPS information |
| CN106205133A (en) * | 2016-09-12 | 2016-12-07 | 深圳市海力特科技有限责任公司 | Method based on Floating Car GPS information identification urban road travel direction |
| CN106297314A (en) * | 2016-11-03 | 2017-01-04 | 北京文安智能技术股份有限公司 | A kind of drive in the wrong direction or the detection method of line ball vehicle behavior, device and a kind of ball machine |
| CN106652063A (en) * | 2016-12-20 | 2017-05-10 | 北京速通科技有限公司 | Free-flow electronic charging method and system for bidirectional lane |
| CN106652472A (en) * | 2017-01-16 | 2017-05-10 | 广西信路威科技发展有限公司 | Black list vehicle recognition speech alarming method and system |
| WO2019206252A1 (en) * | 2018-04-27 | 2019-10-31 | Shanghai Truthvision Information Technology Co., Ltd. | Systems and methods for monitoring traffic sign violation |
| US11594030B2 (en) | 2018-04-27 | 2023-02-28 | Shanghai Truthvision Information Technology Co., Ltd. | Systems and methods for monitoring traffic sign violation |
| CN110738857A (en) * | 2018-07-18 | 2020-01-31 | 杭州海康威视数字技术股份有限公司 | vehicle violation evidence obtaining method, device and equipment |
| CN111047870A (en) * | 2018-10-12 | 2020-04-21 | 丰田自动车株式会社 | Traffic violation vehicle recognition system, server, and non-volatile storage medium storing vehicle control program |
| CN109559536A (en) * | 2018-12-10 | 2019-04-02 | 百度在线网络技术（北京）有限公司 | Traffic lights, traffic light recognition method, device, equipment and storage medium |
| CN110083736A (en) * | 2019-04-25 | 2019-08-02 | 上海易点时空网络有限公司 | Violation information processing method and processing device |
| CN111932450A (en) * | 2020-09-27 | 2020-11-13 | 湖北安泰泽善科技有限公司 | Traffic violation data management method and device |
| CN113593233A (en) * | 2021-07-30 | 2021-11-02 | 深圳市路虎云实业有限公司 | Intelligent big data vehicle identification system based on traffic control |
| CN113593233B (en) * | 2021-07-30 | 2022-07-12 | 深圳市路虎云实业有限公司 | Intelligent big data vehicle identification system based on traffic control |
| CN113885498A (en) * | 2021-10-08 | 2022-01-04 | 湖南三一华源机械有限公司 | Obstacle avoidance control method, control device and control system of road roller |
| CN113885498B (en) * | 2021-10-08 | 2023-10-20 | 湖南三一华源机械有限公司 | Obstacle avoidance control method, control device and control system of road roller |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105654734A (en) | Data processing method and device for vehicle violations | |
| CN106652551B (en) | Parking space detection method and equipment | |
| KR101671428B1 (en) | Intelligent Monitoring System For Violation Vehicles in crossroads | |
| CN105825184A (en) | Vehicle data processing method and device | |
| CN105744232B (en) | A kind of method of the transmission line of electricity video external force damage prevention of Behavior-based control analytical technology | |
| CN101593422B (en) | Traffic violation detection method based on video tracking and pattern recognition | |
| CN102521983B (en) | Vehicle violation detection system based on high definition video technology and method thereof | |
| CN105702048B (en) | Highway front truck illegal road occupation identifying system based on automobile data recorder and method | |
| CN109949579A (en) | A kind of illegal automatic auditing method that makes a dash across the red light based on deep learning | |
| CN106571039A (en) | Automatic snapshot system for highway traffic offence | |
| CN102332209A (en) | Automobile violation video monitoring method | |
| CA2925843C (en) | System for traffic behaviour surveillance | |
| KR101780320B1 (en) | Intelligent type of system for monitoring with a plural functions | |
| CN1725266A (en) | Vehicle intelligent monitoring recording syste mand method based on video trigger and speed measuring | |
| CN105046966A (en) | System and method for automatically detecting illegal parking behaviors in drop-off areas | |
| CN101656023A (en) | Management method of indoor car park in video monitor mode | |
| CN103354029A (en) | Multi-functional intersection traffic information collection method | |
| CN110867083B (en) | Vehicle monitoring method, device, server and machine-readable storage medium | |
| CN102298844A (en) | Automatic rule breaking vehicle detection system and method | |
| CN110738857A (en) | vehicle violation evidence obtaining method, device and equipment | |
| CN206610437U (en) | Road cross electronic monitoring and control system | |
| CN104809887A (en) | Detecting method for vehicle converse running on expressway and automatic alarm device | |
| KR101756848B1 (en) | Unlawfulness parking and no standing control system and method thereof | |
| CN103647896A (en) | Infrared illegal-parking intelligent high-speed dome and control method thereof | |
| CN114387785A (en) | Safety management and control method and system based on intelligent highway and storable medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160608 |
|
| RJ01 | Rejection of invention patent application after publication |