CN117437781A - Traffic intersection order management and control method based on digital retina and electronic equipment - Google Patents
Traffic intersection order management and control method based on digital retina and electronic equipment Download PDFInfo
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- CN117437781A CN117437781A CN202311499721.7A CN202311499721A CN117437781A CN 117437781 A CN117437781 A CN 117437781A CN 202311499721 A CN202311499721 A CN 202311499721A CN 117437781 A CN117437781 A CN 117437781A
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- 210000001525 retina Anatomy 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000003086 colorant Substances 0.000 claims abstract description 24
- 238000007726 management method Methods 0.000 claims description 40
- 230000002207 retinal effect Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 5
- 230000000717 retained effect Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 2
- 230000002441 reversible effect Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 7
- 230000006399 behavior Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 8
- 238000004422 calculation algorithm Methods 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
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- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- 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
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
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- 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
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- 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
- G08G1/056—Detecting movement of traffic to be counted or controlled with provision for distinguishing direction of travel
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
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Abstract
The invention is suitable for the field of traffic order management, and provides a traffic intersection order management and control method based on a digital retina and electronic equipment, wherein the electronic equipment comprises the following components: the system comprises an image acquisition module, a signal control module, a vehicle retrieval module and a warning module. The method establishes a data channel between the vehicle registration system and the vehicle management station, acquires acquired license plate numbers, vehicle types and vehicle colors in real time, and compares the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system. Therefore, the legitimacy and the safety of the vehicles can be monitored in real time, illegal vehicles and unqualified vehicles are prevented from entering the road, and the traffic safety is ensured. Meanwhile, the method can automatically process the vehicle information, reduce the time and cost of manual intervention, and improve the processing efficiency and accuracy.
Description
Technical Field
The invention belongs to the field of traffic order management, and particularly relates to a traffic intersection order management and control method based on a digital retina and electronic equipment.
Background
In the scientific and technological urban creation work, the traffic video data volume is large, the traffic illegal behaviors are treated, the road traffic safety is guaranteed, the number of the vehicle base and the illegal events is increased, and the challenges are more and more serious, so that the traffic civilization demonstration intersection becomes the heavy weight of the urban civilization creation work.
In the prior art, the legitimacy and safety monitoring of the vehicle are often intermittent or untimely, and the legitimacy and safety of the vehicle cannot be monitored in real time. The method based on the digital retina can establish a data channel with a vehicle registration system of a vehicle management station, acquire vehicle information in real time, monitor the legitimacy and safety of the vehicle in real time, avoid illegal vehicles and unqualified vehicles from entering a road, and ensure traffic safety.
Disclosure of Invention
The invention aims to provide a traffic intersection order control method based on a digital retina, which aims to solve the technical problems in the prior art determined in the background art.
The invention is realized in such a way that a traffic intersection order control method based on a digital retina comprises the following steps:
capturing vehicle information and license plate number information in real time through a digital retina camera, wherein the vehicle information comprises the position of a vehicle, the color of the vehicle, the type of the vehicle and the running direction of the vehicle;
identifying the current traffic quantity, the current running direction and the current running lane of the vehicles at each intersection, and adjusting the time sequence and the time timing of the signal lamps;
establishing a data channel between the vehicle registration system and a vehicle registration system of a vehicle management station, acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system;
and acquiring whether the vehicle running of each lane violates the traffic rules in real time, wherein the running of each lane does not meet the rules of traffic, the running of each lane runs through a red light and the reverse running, and when the driving behavior violating the traffic rules occurs, recording the information of the vehicle and sending out warning information.
As a further scheme of the invention, the method for capturing the vehicle information and the license plate number information in real time by the digital retina cameras specifically comprises the following steps:
capturing all vehicles passing through the intersection in real time, and capturing vehicle images;
the intercepted vehicle image is subjected to sharpening treatment;
and detecting the position and the boundary box of the vehicle in the processed image, identifying the information of the vehicle, including the license plate number, the type and the position of the vehicle, and judging the running direction of the vehicle.
As a further aspect of the present invention, the identifying the number of vehicles passing through each intersection, the vehicle driving direction and the vehicle driving lane, and adjusting the timing sequence and timing of the signal lamps specifically includes:
detecting the current traffic quantity, the current running direction and the current running lane of the vehicles at each intersection;
and planning the time sequence and timing of the signal lamps by taking the shortest remaining green time priority and the maximum traffic capacity priority as scheduling rules and combining the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection.
As a further aspect of the present invention, the establishing a data channel with a vehicle registration system of a vehicle management station, and acquiring, in real time, an acquired license plate number, vehicle type and vehicle color, and comparing the acquired license plate number, vehicle type and vehicle color with vehicle information of the license plate number recorded by the vehicle registration system, specifically includes:
establishing a data channel with a vehicle registration system of a vehicle management station, and acquiring vehicle information in the vehicle registration system by using a network connection mode;
by retrieving the identified license plate number in the vehicle registration system and acquiring vehicle information, including vehicle type, vehicle color and vehicle retrofit record, retained in the vehicle registration system by the license plate number;
comparing the acquired vehicle information of the license plate number with the vehicle information of the license plate number stored in the vehicle registration system;
when the comparison appearance information is inconsistent, the vehicle is marked as a suspected vehicle.
Another object of the present invention is to provide a digital retina-based traffic intersection order management and control electronic device, the electronic device comprising:
the image acquisition module is used for capturing vehicle information and license plate number information in real time through the digital retina camera, wherein the vehicle information comprises the position of a vehicle, the color of the vehicle, the type of the vehicle and the running direction of the vehicle;
the signal control module is used for identifying the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection and adjusting the time sequence and the time timing of the signal lamp;
the vehicle retrieval module is used for establishing a data channel between the vehicle retrieval module and a vehicle registration system of a vehicle management station, acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system;
the warning module is used for acquiring whether the vehicle running of each lane violates the traffic rules in real time, including running without the specified lane, running red light and reversing, and recording the information of the vehicle and sending warning information when the driving behavior violating the traffic rules occurs.
As a further aspect of the present invention, the image acquisition module includes:
the image capturing unit is used for capturing all vehicles passing through the intersection in real time and capturing vehicle images;
the image preprocessing unit is used for carrying out sharpening processing on the intercepted vehicle image;
and the vehicle identification unit is used for detecting the position and the boundary box of the vehicle in the processed image, identifying the information of the vehicle, including the license plate number, the type and the position of the vehicle, and judging the running direction of the vehicle.
As a further aspect of the present invention, the signal control module includes:
the vehicle detection unit is used for detecting the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection;
the dispatching calculation unit is used for planning the signal lamp time sequence and timing by taking the shortest remaining green time priority and the maximum traffic capacity priority as dispatching rules and combining the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection.
As a still further aspect of the present invention, the vehicle search module includes:
the channel construction unit is used for establishing a data channel with a vehicle registration system of the vehicle management station and acquiring vehicle information in the vehicle registration system in a network connection mode;
an information extraction unit for retrieving the identified license plate number in the vehicle registration system and acquiring vehicle information including a vehicle type, a vehicle color, and a vehicle retrofit record of the license plate number retained in the vehicle registration system;
an information comparison unit for comparing the acquired vehicle information of the license plate number with the vehicle information of the license plate number reserved in the vehicle registration system;
and the result processing unit is used for marking the vehicle as a suspected vehicle when the comparison occurrence information is inconsistent.
The beneficial effects of the invention are as follows:
the method can acquire whether the vehicle running of each lane violates the traffic rules in real time, including running without the specified lane, running red light, reversing, and the like, records the driving behavior violating the traffic rules, and sends out warning information. These processes are automated and do not require human intervention, thereby improving the efficiency and accuracy of the process.
The method establishes a data channel between the vehicle registration system and the vehicle management station, acquires acquired license plate numbers, vehicle types and vehicle colors in real time, and compares the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system. Therefore, the legitimacy and the safety of the vehicles can be monitored in real time, illegal vehicles and unqualified vehicles are prevented from entering the road, and the traffic safety is ensured. Meanwhile, the method can automatically process the vehicle information, reduce the time and cost of manual intervention, and improve the processing efficiency and accuracy.
Drawings
FIG. 1 is a flow chart of a traffic intersection order management and control method based on a digital retina according to an embodiment of the present invention;
FIG. 2 is a flow chart of capturing vehicle information and license plate number information in real time by a digital retinal camera according to an embodiment of the present invention;
FIG. 3 is a flowchart for identifying the number of vehicles passing through each intersection, the direction of vehicle travel and the lane of vehicle travel, and adjusting the timing sequence and timing of signal lamps according to the embodiment of the invention;
FIG. 4 is a flowchart of establishing a data channel between a vehicle registration system and a vehicle management system, acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system according to the embodiment of the invention;
fig. 5 is a block diagram of a traffic intersection order management and control electronic device based on a digital retina according to an embodiment of the present invention;
fig. 6 is a block diagram of an image acquisition module according to an embodiment of the present invention;
fig. 7 is a block diagram of a signal control module according to an embodiment of the present invention;
fig. 8 is a block diagram of a vehicle search module according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
Fig. 1 is a flowchart of a traffic intersection order management method based on a digital retina according to an embodiment of the present invention, as shown in fig. 1, and the traffic intersection order management method based on a digital retina is characterized in that the method includes:
s100, capturing vehicle information and license plate number information in real time through a digital retina camera, wherein the vehicle information comprises the position of a vehicle, the color of the vehicle, the type of the vehicle and the running direction of the vehicle;
in the step, the digital retina cameras can continuously shoot real-time pictures of the traffic intersection in the monitoring range of the cameras of the traffic intersection. The image acquired by the digital retina cameras can realize the identification of vehicle colors and license plate numbers, and in order to ensure the accuracy of identification, the image is enhanced and denoised before identification so as to improve the quality and definition of the image. This allows for better identification of the characteristics and information of the vehicle. The vehicle in the image can then be accurately detected and its location and bounding box marked by image processing and computer vision algorithms. Then, the license plate number of the vehicle can be extracted by a license plate recognition technology. At the same time, the type and location of the vehicle may also be identified. Finally, the traveling direction of the vehicle can be determined according to the position and traveling direction of the vehicle.
Through the steps, the information such as the position, the color, the type, the running direction and the license plate number of the vehicle can be obtained. This information will be used for subsequent traffic management and recording and handling of violations.
S200, identifying the current traffic quantity, the current running direction and the current running lane of the vehicles at each intersection, and adjusting the time sequence and the time distribution of the signal lamps;
in the step, the number of vehicles at each intersection can be counted through the vehicle information captured by the digital retina cameras in real time, and the running direction of the vehicles and the lanes where the vehicles are located can be determined. This may be achieved by image processing and computer vision algorithms, such as target detection and tracking techniques. And then the time sequence and timing of the signal lamp can be optimized through an intelligent algorithm according to the traffic condition of the crossing and the running direction of the vehicle. And according to the vehicles with the shortest remaining green time, the vehicles are preferentially released, and the vehicles are scheduled according to the lanes with the largest traffic capacity, so that the traffic efficiency of the traffic is improved, and the traffic flow in all directions is balanced.
Through the processing of the stage, the time sequence and timing of the signal lamps at each intersection can be monitored and adjusted in real time so as to adapt to the change of traffic flow and optimize traffic conditions. This will help reduce traffic congestion, improve traffic efficiency, and provide a safer and more convenient traffic environment for drivers and pedestrians.
S300, establishing a data channel between the vehicle registration system and a vehicle management station, acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system;
in this step, the vehicle information in the vehicle registration system including the vehicle type, the vehicle color, the vehicle retrofit record, and the like can be acquired in real time through the data channel established with the vehicle pipe. The license plate number captured from the digital retinal camera can then be retrieved in the vehicle registration system and vehicle information associated with the license plate number acquired. And then comparing the vehicle information acquired from the digital retina camera with the vehicle information recorded in the vehicle registration system, wherein the vehicle information comprises vehicle type, vehicle color, vehicle refitting record and the like. By comparison, the accuracy and consistency of the vehicle information can be verified.
If the vehicle information captured from the digital retina is inconsistent with the vehicle information recorded in the vehicle registration system or an abnormal situation exists, the vehicle can be marked as a suspected vehicle, namely, illegal refitting of the vehicle or illegal actions such as fake license plates of the vehicle can exist, and the vehicle needs to be verified by a traffic management department. This may help traffic authorities better identify and monitor potential illegal actions or security risks.
By this stage of processing, a data channel with the vehicle registration system can be established, and information of the vehicle can be acquired and compared in real time. This will help to improve the accuracy and efficiency of traffic management, as well as enhance the monitoring and management of vehicle information.
S400, acquiring whether the vehicle running of each lane violates the traffic rules in real time, including running without the specified lane, running red light and reversing, recording the information of the vehicle and sending out warning information when the driving behavior violating the traffic rules occurs.
In this step, through the above-described steps, the digital retinal camera captures vehicle information and license plate number information in real time, including the position of the vehicle, the color of the vehicle, the type of vehicle, the direction in which the vehicle is traveling, and the like. By analyzing the position and the traveling direction of the vehicle, it is possible to determine whether the vehicle violates traffic criteria, such as traveling in a lane that is not specified, running a red light, reversing, and the like. When a vehicle violation of a traffic criterion is detected, the system records information about the vehicle, including license plate number, violation, time and place, etc. These records can be used for subsequent traffic management and penalties.
And after the driving behavior violating the traffic rules is found, the system automatically sends out warning information to remind the driver of paying attention to traffic safety and observing the traffic rules. The alert information may be communicated by a screen display, audible prompts, or other suitable means.
The stage can monitor whether the vehicle running of each lane meets the traffic criterion in real time, and record and warn the driving behavior violating the traffic criterion. The method is beneficial to improving the order management and control effect of the traffic intersections, reducing traffic accidents and illegal behaviors, and enhancing traffic safety awareness and civilized driving behaviors.
Fig. 2 is a flowchart of capturing vehicle information and license plate number information in real time by using a digital retinal camera according to an embodiment of the present invention, as shown in fig. 2, where the capturing vehicle information and license plate number information in real time by using a digital retinal camera specifically includes:
s110, capturing all vehicles passing through the intersection in real time, and capturing vehicle images;
s120, performing sharpening processing on the intercepted vehicle image;
s130, detecting the position and the boundary box of the vehicle in the processed image, identifying the information of the vehicle, including the license plate number, the type of the vehicle and the position of the vehicle, and judging the running direction of the vehicle.
Fig. 3 is a flowchart of identifying the current traffic number, the current driving direction and the current driving lane of each intersection and adjusting the time sequence and the timing of the signal lamp according to the embodiment of the present invention, and as shown in fig. 3, the identifying the current traffic number, the current driving direction and the current driving lane of each intersection and adjusting the time sequence and the timing of the signal lamp specifically includes:
s210, detecting the current traffic quantity, the current running direction and the current running lane of the vehicles at each intersection;
s220, planning signal lamp time sequence and timing by taking the shortest remaining green time priority and the maximum traffic capacity priority as scheduling rules and combining the current traffic quantity, the current vehicle running direction and the current vehicle running lanes of each intersection.
Fig. 4 is a flowchart for establishing a data channel between a vehicle registration system and a vehicle management system and acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system, as shown in fig. 4, where the establishing a data channel between a vehicle registration system and a vehicle management system and acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system specifically includes:
s310, establishing a data channel with a vehicle registration system of a vehicle management station, and acquiring vehicle information in the vehicle registration system by using a network connection mode;
s320, searching the identified license plate number in the vehicle registration system, and acquiring vehicle information of the license plate number reserved in the vehicle registration system, wherein the vehicle information comprises vehicle type, vehicle color and vehicle refitting record;
s330, comparing the acquired vehicle information of the license plate number with the vehicle information of the license plate number reserved in the vehicle registration system;
and S340, when the comparison occurrence information is inconsistent, marking the vehicle as a suspected vehicle.
Fig. 5 is a block diagram of a traffic intersection order management and control electronic device based on a digital retina according to an embodiment of the present invention, as shown in fig. 5, where the electronic device includes:
the image acquisition module 100 is used for capturing vehicle information and license plate number information in real time through the digital retina camera, wherein the vehicle information comprises the position of a vehicle, the color of the vehicle, the type of the vehicle and the running direction of the vehicle;
in the module, the digital retina cameras can continuously shoot real-time pictures of the traffic intersection in the monitoring range of the cameras of the traffic intersection. The image acquired by the digital retina cameras can realize the identification of vehicle colors and license plate numbers, and in order to ensure the accuracy of identification, the image is enhanced and denoised before identification so as to improve the quality and definition of the image. This allows for better identification of the characteristics and information of the vehicle. The vehicle in the image can then be accurately detected and its location and bounding box marked by image processing and computer vision algorithms. Then, the license plate number of the vehicle can be extracted by a license plate recognition technology. At the same time, the type and location of the vehicle may also be identified. Finally, the traveling direction of the vehicle can be determined according to the position and traveling direction of the vehicle.
Through the steps, the information such as the position, the color, the type, the running direction and the license plate number of the vehicle can be obtained. This information will be used for subsequent traffic management and recording and handling of violations.
The signal control module 200 is used for identifying the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection, and adjusting the time sequence and the time timing of the signal lamp;
in the module, the number of vehicles at each intersection can be counted through the vehicle information captured by the digital retina cameras in real time, and the running direction of the vehicles and the lanes where the vehicles are located can be determined. This may be achieved by image processing and computer vision algorithms, such as target detection and tracking techniques. And then the time sequence and timing of the signal lamp can be optimized through an intelligent algorithm according to the traffic condition of the crossing and the running direction of the vehicle. And according to the vehicles with the shortest remaining green time, the vehicles are preferentially released, and the vehicles are scheduled according to the lanes with the largest traffic capacity, so that the traffic efficiency of the traffic is improved, and the traffic flow in all directions is balanced.
Through the processing of the stage, the time sequence and timing of the signal lamps at each intersection can be monitored and adjusted in real time so as to adapt to the change of traffic flow and optimize traffic conditions. This will help reduce traffic congestion, improve traffic efficiency, and provide a safer and more convenient traffic environment for drivers and pedestrians.
The vehicle retrieval module 300 is used for establishing a data channel with a vehicle registration system of a vehicle management station, acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system;
in this step, the vehicle information in the vehicle registration system including the vehicle type, the vehicle color, the vehicle retrofit record, and the like can be acquired in real time through the data channel established with the vehicle pipe. The license plate number captured from the digital retinal camera can then be retrieved in the vehicle registration system and vehicle information associated with the license plate number acquired. And then comparing the vehicle information acquired from the digital retina camera with the vehicle information recorded in the vehicle registration system, wherein the vehicle information comprises vehicle type, vehicle color, vehicle refitting record and the like. By comparison, the accuracy and consistency of the vehicle information can be verified.
If the vehicle information captured from the digital retina is inconsistent with the vehicle information recorded in the vehicle registration system or an abnormal situation exists, the vehicle can be marked as a suspected vehicle, namely, illegal refitting of the vehicle or illegal actions such as fake license plates of the vehicle can exist, and the vehicle needs to be verified by a traffic management department. This may help traffic authorities better identify and monitor potential illegal actions or security risks.
By this stage of processing, a data channel with the vehicle registration system can be established, and information of the vehicle can be acquired and compared in real time. This will help to improve the accuracy and efficiency of traffic management, as well as enhance the monitoring and management of vehicle information.
The warning module 400 is configured to obtain, in real time, whether the vehicle running on each lane violates the traffic criterion, including running on the lane without regulation, running red light and reversing, and record the information of the vehicle and send out warning information when the driving behavior violating the traffic criterion occurs.
In the module, through the steps, the digital retina cameras capture vehicle information and license plate number information in real time, wherein the vehicle information and license plate number information comprise the position of a vehicle, the color of the vehicle, the type of the vehicle, the running direction of the vehicle and the like. By analyzing the position and the traveling direction of the vehicle, it is possible to determine whether the vehicle violates traffic criteria, such as traveling in a lane that is not specified, running a red light, reversing, and the like. When a vehicle violation of a traffic criterion is detected, the system records information about the vehicle, including license plate number, violation, time and place, etc. These records can be used for subsequent traffic management and penalties.
And after the driving behavior violating the traffic rules is found, the system automatically sends out warning information to remind the driver of paying attention to traffic safety and observing the traffic rules. The alert information may be communicated by a screen display, audible prompts, or other suitable means.
Fig. 6 is a block diagram of an image acquisition module according to an embodiment of the present invention, as shown in fig. 6, where the image acquisition module includes:
an image capturing unit 110 for capturing all vehicles passing through the intersection in real time and capturing images of the vehicles;
an image preprocessing unit 120 for performing a sharpening process on the intercepted vehicle image;
the vehicle identification unit 130 is configured to detect a position and a bounding box of the vehicle in the processed image, identify information of the vehicle, including a license plate number of the vehicle, a type of the vehicle, and a position of the vehicle, and determine a traveling direction of the vehicle.
Fig. 7 is a block diagram of a signal control module according to an embodiment of the present invention, as shown in fig. 7, where the signal control module includes:
a vehicle detection unit 210 for detecting the number of vehicles passing at each intersection, the vehicle traveling direction, and the vehicle traveling lane at present;
the scheduling calculation unit 220 is configured to plan the signal lamp timing sequence and timing by taking the shortest remaining green time priority and the greatest traffic capacity priority as scheduling rules and combining the current traffic quantity, the current vehicle driving direction and the current vehicle driving lane of each intersection.
Fig. 8 is a block diagram of a vehicle retrieval module according to an embodiment of the present invention, and as shown in fig. 8, the vehicle retrieval module includes:
a channel setting up unit 310, configured to establish a data channel with a vehicle registration system of a vehicle management station, and acquire vehicle information in the vehicle registration system by using a network connection manner;
an information extraction unit 320 for retrieving the identified license plate number in the vehicle registration system and acquiring vehicle information including a vehicle type, a vehicle color, and a vehicle retrofit record, which is retained in the vehicle registration system by the license plate number;
an information comparing unit 330 for comparing the acquired vehicle information of the license plate number with the vehicle information of the license plate number remaining in the vehicle registration system;
and a result processing unit 340 for marking the vehicle as a suspected vehicle when the comparison occurrence information is inconsistent.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (8)
1. A method for controlling traffic intersection order based on digital retina, the method comprising:
capturing vehicle information and license plate number information in real time through a digital retina camera, wherein the vehicle information comprises the position of a vehicle, the color of the vehicle, the type of the vehicle and the running direction of the vehicle;
identifying the current traffic quantity, the current running direction and the current running lane of the vehicles at each intersection, and adjusting the time sequence and the time timing of the signal lamps;
establishing a data channel between the vehicle registration system and a vehicle registration system of a vehicle management station, acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system;
and acquiring whether the vehicle running of each lane violates the traffic rules in real time, wherein the running of each lane does not meet the rules of traffic, the running of each lane runs through a red light and the reverse running, and when the driving behavior violating the traffic rules occurs, recording the information of the vehicle and sending out warning information.
2. The method according to claim 1, wherein capturing vehicle information and license plate number information in real time by a digital retinal camera specifically comprises:
capturing all vehicles passing through the intersection in real time, and capturing vehicle images;
the intercepted vehicle image is subjected to sharpening treatment;
and detecting the position and the boundary box of the vehicle in the processed image, identifying the information of the vehicle, including the license plate number, the type and the position of the vehicle, and judging the running direction of the vehicle.
3. The method according to claim 2, wherein the identifying the current number of vehicles passing at each intersection, the direction of vehicle travel and the lane of vehicle travel and adjusting the timing and timing of the signal lights comprises:
detecting the current traffic quantity, the current running direction and the current running lane of the vehicles at each intersection;
and planning the time sequence and timing of the signal lamps by taking the shortest remaining green time priority and the maximum traffic capacity priority as scheduling rules and combining the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection.
4. A method according to claim 3, wherein the establishing a data channel with the vehicle registration system of the vehicle management station, and acquiring the acquired license plate number, vehicle type and vehicle color in real time, comparing the acquired license plate number, vehicle type and vehicle color with the vehicle information of the license plate number recorded by the vehicle registration system, specifically comprises:
establishing a data channel with a vehicle registration system of a vehicle management station, and acquiring vehicle information in the vehicle registration system by using a network connection mode;
by retrieving the identified license plate number in the vehicle registration system and acquiring vehicle information, including vehicle type, vehicle color and vehicle retrofit record, retained in the vehicle registration system by the license plate number;
comparing the acquired vehicle information of the license plate number with the vehicle information of the license plate number stored in the vehicle registration system;
when the comparison appearance information is inconsistent, the vehicle is marked as a suspected vehicle.
5. A digital retina-based traffic intersection order management and control electronic device, the electronic device comprising:
the image acquisition module is used for capturing vehicle information and license plate number information in real time through the digital retina camera, wherein the vehicle information comprises the position of a vehicle, the color of the vehicle, the type of the vehicle and the running direction of the vehicle;
the signal control module is used for identifying the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection and adjusting the time sequence and the time timing of the signal lamp;
the vehicle retrieval module is used for establishing a data channel between the vehicle retrieval module and a vehicle registration system of a vehicle management station, acquiring acquired license plate numbers, vehicle types and vehicle colors in real time, and comparing the acquired license plate numbers, vehicle types and vehicle colors with vehicle information of the license plate numbers recorded by the vehicle registration system;
the warning module is used for acquiring whether the vehicle running of each lane violates the traffic rules in real time, including running without the specified lane, running red light and reversing, and recording the information of the vehicle and sending warning information when the driving behavior violating the traffic rules occurs.
6. The electronic device of claim 5, wherein the image acquisition module comprises:
the image capturing unit is used for capturing all vehicles passing through the intersection in real time and capturing vehicle images;
the image preprocessing unit is used for carrying out sharpening processing on the intercepted vehicle image;
and the vehicle identification unit is used for detecting the position and the boundary box of the vehicle in the processed image, identifying the information of the vehicle, including the license plate number, the type and the position of the vehicle, and judging the running direction of the vehicle.
7. The electronic device of claim 6, wherein the signal control module comprises:
the vehicle detection unit is used for detecting the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection;
the dispatching calculation unit is used for planning the signal lamp time sequence and timing by taking the shortest remaining green time priority and the maximum traffic capacity priority as dispatching rules and combining the current traffic quantity, the current vehicle running direction and the current vehicle running lane of each intersection.
8. The electronic device of claim 7, wherein the vehicle retrieval module comprises:
the channel construction unit is used for establishing a data channel with a vehicle registration system of the vehicle management station and acquiring vehicle information in the vehicle registration system in a network connection mode;
an information extraction unit for retrieving the identified license plate number in the vehicle registration system and acquiring vehicle information including a vehicle type, a vehicle color, and a vehicle retrofit record of the license plate number retained in the vehicle registration system;
an information comparison unit for comparing the acquired vehicle information of the license plate number with the vehicle information of the license plate number reserved in the vehicle registration system;
and the result processing unit is used for marking the vehicle as a suspected vehicle when the comparison occurrence information is inconsistent.
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