CN110827549A - Intelligent traffic control system - Google Patents
Intelligent traffic control system Download PDFInfo
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- CN110827549A CN110827549A CN201911283364.4A CN201911283364A CN110827549A CN 110827549 A CN110827549 A CN 110827549A CN 201911283364 A CN201911283364 A CN 201911283364A CN 110827549 A CN110827549 A CN 110827549A
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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
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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Abstract
The application discloses intelligent traffic control system includes: the sensor comprises an inductive sensor and a PLC programmable controller; the inductive sensor is used for acquiring a traffic flow signal of a road intersection and sending the traffic flow signal to the PLC; the PLC is used for acquiring traffic flow signals of the road intersection and changing the operation time of the traffic lights in real time according to the traffic flow signals of the road intersection. The traffic signal lamp is controlled according to the acquired traffic flow information of the road intersection, so that the traffic signal lamp can change the working state of the traffic lamp according to real-time traffic flow self-adaption, and the traffic jam pressure is effectively relieved; the violation recording system can automatically record violation vehicles such as red lights, the traffic punishment efficiency is improved, and the labor cost is reduced.
Description
Technical Field
The application relates to the technical field of traffic control, in particular to an intelligent traffic control system.
Background
The 'road traffic and road sign signal agreement' makes a uniform standard for the meaning represented by a traffic light signal, wherein a green signal light represents that the vehicle can directly pass without waiting, and if no sign is carried out in front, the vehicle which lights a lane by the green signal light is allowed to go straight, turn left and turn right. Pedestrians and straight-ahead vehicles can pass preferentially, and when vehicles turning right are encountered, the red signal lamps represent stop, and the vehicles and the pedestrians are prohibited from passing. When a yellow traffic signal or the like is on, the vehicle must be made chronic or stopped waiting for the red light to end. Just because of the appearance and the popularization and use of the traffic light, the condition of road congestion is effectively solved, and the traffic congestion condition is relieved. With the increasing abundance of material life of people, private cars and cars, the number of the cars is increasing, and the original timing control circulation traffic signal lamp cannot meet the change of road traffic conditions. Moreover, the record of violation of regulations such as flushing a red light and speeding also depends on manpower, so that the efficiency is greatly reduced.
Disclosure of Invention
The embodiment of the application provides an intelligent traffic control system, which can be used for relieving traffic jam conditions by adjusting the operation time of a traffic indicator lamp in real time and reducing the cost of manpower and material resources.
In view of the above, a first aspect of the present application provides an intelligent traffic control system, which includes: the sensor comprises an inductive sensor and a PLC programmable controller;
the inductive sensor is used for acquiring a traffic flow signal of a road intersection and sending the traffic flow signal to the PLC;
the PLC is used for acquiring the traffic flow of the road intersection.
Optionally, the vehicle flow detection and counting device further comprises an external control circuit, wherein the external control circuit is used for acquiring a current pulse induction signal generated when a vehicle passes through the inductive sensor, converting the current pulse induction signal into a level pulse signal for outputting, and counting pulses of the level pulse to complete vehicle flow detection and counting.
Optionally, the external control circuit includes a signal source input circuit, a comparison and discrimination signal input circuit, and a standard voltage pulse circuit;
the signal source input circuit is used for outputting sine signals or cosine signals and inputting the output sine signals or cosine signals to the comparison discrimination signal input circuit;
the comparison discrimination signal input circuit is used for converting the current pulse induction signal into a standard pulse signal;
and the standard voltage pulse circuit is used for inputting the standard pulse signal as a control input signal to the PLC programmable controller.
Optionally, the method further includes: and the violation recording module is used for acquiring an image of a passing vehicle, analyzing whether the vehicle violates rules or not according to the image and acquiring license plate information of the vehicle in the image.
Optionally, the violation recording module includes an image obtaining module, and the image obtaining module is configured to continuously capture passing vehicles to obtain a high-definition image including vehicle license plate information.
Optionally, the violation recording module further comprises a vehicle detection module;
the vehicle detection module is used for positioning the license plate in the image, performing character segmentation on the license plate, and performing character recognition on the segmented characters so as to recognize license plate information in the image.
Optionally, the vehicle detection module includes:
the preprocessing module is used for preprocessing the image so that the image can be clearly identified.
Optionally, the vehicle detection module further includes:
and the license plate positioning module is used for performing row-column scanning on the preprocessed image, determining a candidate region containing license plate line segments in the column direction through the row scanning, determining the initial row coordinate and height of the region, and then performing column scanning on the region to determine the column coordinate and width of the region, thereby determining a license plate region.
Optionally, the vehicle detection module further includes:
and the character segmentation module is used for segmenting the characters of the image after the license plate is positioned, so that the area of the characters is further accurate.
Optionally, the vehicle detection module further includes:
and the character recognition module is used for extracting the characteristics of the characters through an algorithm based on an artificial neural network, training a neural network distributor to distinguish by using the obtained characteristics, recognizing the input character image and outputting the license plate number.
According to the technical scheme, the method has the following advantages:
in the embodiment of the application, an intelligent traffic control system is provided, wherein the intelligent traffic control system comprises an inductive sensor and a PLC (programmable logic controller); the inductive sensor is used for acquiring a traffic flow signal of a road intersection and sending the traffic flow signal to the PLC; the PLC is used for acquiring traffic flow signals of the road intersection and changing the operation time of the traffic lights in real time according to the traffic flow signals of the road intersection.
The traffic signal lamp is controlled according to the acquired traffic flow information of the road intersection, so that the traffic signal lamp can change the working state of the traffic lamp according to real-time traffic flow self-adaption, and the traffic jam pressure is effectively relieved; the violation recording system can automatically record violation vehicles such as red lights, the traffic punishment efficiency is improved, and the labor cost is reduced.
Drawings
FIG. 1 is a system architecture diagram of one embodiment of an intelligent traffic control system of the present application;
FIG. 2 is a system architecture diagram of another embodiment of an intelligent traffic control system of the present application;
FIG. 3 is a schematic diagram of a vehicle pass detection system using a vehicle external control circuit according to the present application;
FIG. 4 is a schematic diagram of a vehicle external control circuit in an intelligent traffic control system of the present application;
fig. 5 is a schematic structural diagram of a violation recording module in the intelligent traffic control system of the present application.
Detailed Description
The traffic signal lamp is controlled according to the acquired traffic flow information of the road intersection, so that the traffic signal lamp can change the working state of the traffic lamp according to real-time traffic flow self-adaption, and the traffic jam pressure is effectively relieved; the violation recording system can automatically record violation vehicles such as red lights, the traffic punishment efficiency is improved, and the labor cost is reduced.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a diagram illustrating an architecture of an information processing system according to an embodiment of the present invention, as shown in fig. 1, where fig. 1 includes:
an inductive sensor 101 and a PLC programmable controller 102.
The inductive sensor 101 is used for acquiring a traffic flow signal at a road intersection and sending the traffic flow signal to the PLC programmable controller 102.
When a vehicle passes through the intersection where the inductive sensor 101 is located, the inductive sensor acquires an inductive pulse signal that the vehicle passes through, and may perform necessary processing on the acquired inductive pulse signal, for example, convert the inductive pulse signal into a level pulse signal, and transmit the level pulse signal to the PLC programmable controller 102.
The PLC 102 is used for obtaining traffic flow signals of the road intersection and changing the operation time of the traffic lights in real time according to the traffic flow signals of the road intersection.
It should be noted that, after receiving the pulse signal, the PLC programmable controller 102 may analyze and calculate the pulse signal to obtain a traffic flow signal at the road intersection, so as to obtain the traffic flow in the north-south direction and the east-west direction, and then control the operation time of the traffic indicator lights in the north-south direction and the east-west direction according to the traffic flow in the north-south direction and the east-west direction, for example, if the traffic flow in the east-west direction is large and the traffic flow in the north-south direction is small, the duration time of the red light in the east-west direction is controlled to be reduced, and the green light time is increased; if the traffic flow in the east-west direction is small and the traffic flow in the south-north direction is large, the duration time of the red light for controlling the south-north direction is reduced, and the green light time is increased.
The traffic signal lamp is controlled according to the acquired traffic flow information of the road intersection, so that the traffic signal lamp can change the working state of the traffic lamp according to real-time traffic flow self-adaption, and the traffic jam pressure is effectively relieved; the violation recording system can automatically record violation vehicles such as red lights, the traffic punishment efficiency is improved, and the labor cost is reduced.
For easy understanding, please refer to fig. 2, fig. 2 is a system architecture diagram of another embodiment of an intelligent traffic control system according to the present application, and as shown in fig. 2, the system architecture diagram specifically includes:
an inductive sensor 201, an external control circuit 202, and a PLC programmable controller 203.
The inductive sensor 201 is used for acquiring an inductive pulse signal of a road intersection.
When a vehicle passes through the intersection where the inductive sensor 201 is located, the inductive sensor acquires an inductive pulse signal that the vehicle passes through, and then may perform necessary processing on the acquired inductive pulse signal, for example, convert the inductive pulse signal into a level pulse signal, and transmit the level pulse signal to the PLC programmable controller 203.
And the external control circuit 202 is used for acquiring a current pulse induction signal generated when the vehicle passes through the inductive sensor, converting the current pulse induction signal into a level pulse signal for outputting, and counting pulses of the level pulse to finish the detection and counting of the vehicle flow.
The external control circuit 202 may convert the current pulse induction signal acquired by the inductive sensor 201 into a level pulse signal, output the level pulse signal to the PLC programmable controller 203, and complete the detection and counting of the vehicle flow rate. A schematic diagram for detecting vehicle passing by using a vehicle external control circuit is shown in fig. 3, and the specific detection principle is as follows: the current detection circuit with proper sensitivity is connected to two sides of the inductive sensor, when a vehicle passes through the inductive sensor, the current detection circuit outputs current pulses to form level pulses, and the passing detection and counting of the vehicle flow can be completed by counting the pulses of the level pulses.
In one specific embodiment, as shown in fig. 4, the external control circuit 202 includes a signal source input circuit, a comparison discrimination signal input circuit, and a standard voltage pulse circuit.
The signal source input circuit is used for outputting sine signals or cosine signals and inputting the output sine signals or cosine signals to the comparison and discrimination signal input circuit.
The comparison and discrimination signal input circuit is used for converting the current pulse induction signal into a standard pulse signal.
And the standard voltage pulse circuit is used for inputting the standard pulse signal as a control input signal to the PLC programmable controller.
In a specific embodiment, the signal source input circuit outputs a 60khz sinusoidal signal source, when an automobile passes through the inductive sensor, the induction coil generates induction current, the current detection circuit detects current pulses, current pulse induction signals are input into the comparison and discrimination signal input circuit, the comparison and discrimination signal input circuit converts the current pulse induction signals into standard pulse signals and inputs the standard pulse signals into the standard voltage pulse circuit, and the standard voltage pulse circuit inputs the standard pulse signals into the PLC programmable controller as control input signals.
The PLC 203 is used for acquiring traffic flow signals of the road intersection and changing the operation time of the traffic lights in real time according to the traffic flow signals of the road intersection.
It should be noted that, after receiving the pulse signal, the PLC programmable controller 203 may analyze and calculate the pulse signal to obtain a traffic flow signal at the road intersection, so as to obtain the traffic flow in the north-south direction and the east-west direction, and then control the operation time of the traffic indicator lights in the north-south direction and the east-west direction according to the traffic flow in the north-south direction and the east-west direction, for example, if the traffic flow in the east-west direction is large and the traffic flow in the north-south direction is small, the duration time of the red light in the east-west direction is controlled to be reduced, and the green light time is increased; if the traffic flow in the east-west direction is small and the traffic flow in the south-north direction is large, the duration time of the red light for controlling the south-north direction is reduced, and the green light time is increased.
In one specific embodiment, the traffic light cycle run time in the normal state is:
south-north lane green 27S yellow 3S red 30S
East-west lane red 30S yellow 3S green 27S
The green light in the east-west direction is turned on for 27s, the red light in the north-south direction is turned on for 30s, the green light in the east-west direction is turned off after 27s, the yellow light in the east-west direction is turned on and is kept for 3s, and the red light in the north-south direction continues to work; after 3s, the yellow light in the east-west direction is turned off, and the red light in the east-west direction is turned on and kept for 30 s; the green light in the south-north direction is turned on and kept for 27s, the green light in the south-north direction is turned off after 27s, the yellow light in the south-north direction is turned on and kept for 3s, and at the moment, the red light in the east-west direction continues to work; after 3s, the green light in the north-south direction is lighted, the red light in the east-west direction is lighted, one working period of the traffic light is ended in a normal state, the next working period starts to run, and the operation is repeated in a circulating mode.
After the scheme of the application is adopted:
1. the occurrence of north-south congestion
Under the conditions of north-south congestion and small vehicle flow in the east-west direction, the duration of traffic lights in the north-south direction and the east-west direction is intelligently adjusted through the plc, the duration of green lights in the north-south direction is properly increased, the duration of red lights in the north-south direction is shortened, and the duration of green lights in the east-west direction is properly increased due to the fact that the vehicle flow in the east-west direction is relatively small, and the duration of the red lights in the east-west direction is properly reduced, so that the congestion condition of the crossroad in the north-south direction is.
The circulation control scheme of the traffic light under the state of north-south congestion is as follows:
south-north lane green 42S yellow 3S red 15S
East-west lane red 45S yellow 3S green 12S
The green lamps in the south-north direction are turned on and keep the passing time of 42s, the red lamps in the east-west direction are turned on and keep the waiting time of 45s, the green lamps in the south-north direction are turned off after being turned on for 42s, the yellow lamps in the south-north direction are turned on for 3s, and the red lamps in the east-west direction continue to work; after 3s, the yellow lamps in the south and north directions are turned off, the red lamps in the south and north directions are turned on and kept working for 15s, the red lamps in the east and west directions are turned off, and the green lamps in the east and west directions are turned on and kept working for 12 s; the green light in the east-west direction is turned off after running for 12s, the yellow light in the east-west direction is turned on for 3s, and the red light in the north-south direction continues to work; after 3s, the yellow lamp in the east-west direction is turned off, the red lamp in the east-west direction is turned on, the red lamp in the north-south direction is turned off, the green lamp in the north-south direction is turned on, so far, under the north-south congestion state, one work cycle of the traffic light control system is finished, and the next work cycle starts to operate. If the road traffic condition at the crossroad keeps the condition of north-south congestion all the time, the traffic light control scheme for north-south congestion can work circularly and repeatedly all the time until the congestion condition in the north-south direction is improved.
2. East-west congestion occurs
Under the condition that traffic jams in the east-west direction and traffic flow in the north-south direction is less, the PLC intelligently adjusts the east-west direction of the crossroad, the working time of traffic lights in the south-north direction is changed, the green light time in the east-west direction is properly increased, the red light time in the east-west direction is shortened, and the traffic flow in the north-south direction is relatively less, so that the red light time is properly increased, the green light time is properly shortened, and the jam condition of the crossroad in the north-south direction is effectively relieved.
The circulation control scheme of the traffic light under the east-west congestion state is as follows:
south-north lane green 12S yellow 3S red 45S
East-west lane red 15S yellow 3S green 42S
The green light in the east-west direction is turned on and keeps the passing time of 42s, the red light in the north-south direction is turned on and keeps the waiting time of the red light of 45s, the east-west green light is turned off after being turned on for 42s, the east-west yellow light is turned on for 3s, and the red light in the north-south direction continues to work; after 3s, turning off the yellow lamp in the east-west direction, turning on the red lamp in the east-west direction and keeping working for 15s, turning off the red lamp in the north-south direction, and turning on the green lamp in the north-south direction and keeping working for 12 s; the green light in the south and north direction is turned off after running for 12s, the yellow light in the south and north direction is turned on for 3s, and the red light in the east and west direction continues to work; after 3s, the yellow lamps in the south and north directions are turned off, the red lamps in the south and north directions are turned on, the red lamps in the east and west directions are turned off, the green lamps in the east and west directions are turned on, so far, under the east and west congestion state, one working cycle of the traffic light control system is finished, and the next working cycle starts to operate. If the condition of road traffic at the crossroads keeps the condition of east-west congestion all the time, the traffic light control scheme of east-west congestion will work circularly and repeatedly all the time until the congestion condition in east-west direction is improved.
As shown in fig. 5, the application further includes a violation recording module 301, where the violation recording module 301 includes an image obtaining module 3011 and a vehicle detecting module, where the vehicle detecting module specifically includes: a preprocessing module 3012, a license plate positioning module 3013, a character segmentation module 3014, and a character recognition module 3015.
The image acquisition module 3011 is configured to capture passing vehicles continuously, and acquire a high-definition image including vehicle license plate information.
It should be noted that a high-definition camera can be arranged above the traffic signal lamp, vehicles at the intersection are continuously captured during the waiting time of the red light, so that real-time and uninterrupted recording and acquisition are carried out on the violation behaviors of the vehicles, and the acquired images are stored to the rear end for identifying vehicle information.
And the preprocessing module 3012 is configured to preprocess the image so that the image can be clearly recognized.
It should be noted that, because factors such as the lighting condition during image capturing, the neatness of the license plate, the state of the camera (focal length, angle and optical distortion of the lens), and the instability of the vehicle speed all affect the image effect to different degrees, and phenomena such as image blurring, image skewing or defect, license plate character boundary blurring, detail blurring, stroke disconnection, uneven thickness and the like occur, thereby affecting the work of segmentation and character recognition of the license plate region. Thus, the acquired image may be pre-processed prior to identification. The specific preprocessing operations may include graying of the RGB color image, binarization of the grayscale map, tilt correction, and the like.
The license plate positioning module 3013 is configured to perform row-column scanning on the preprocessed image, determine a candidate region containing license plate line segments in a column direction through the row scanning, determine a starting row coordinate and a height of the candidate region, and then perform column scanning on the candidate region to determine a column coordinate and a width of the candidate region, thereby determining a license plate region.
It should be noted that, a texture feature analysis positioning algorithm may be applied to perform row-column scanning on the preprocessed gray-scale image, determine a candidate region containing license plate line segments in the column direction by the row scanning, determine the starting row coordinate and height of the region, and then perform column scanning on the region to determine the column coordinate and width thereof, thereby determining a license plate region. By the algorithm, all license plates in the image can be positioned.
And the character segmentation module 3014 is configured to perform character segmentation on the image after the license plate is located, so as to further refine the character region.
After the license plate region is located in the image, the character region can be further accurately located through processing such as graying, grayscale stretching, binarization and marginalization, then a dynamic template method is provided according to character size characteristics for character segmentation, and the size of the character can be normalized, so that the characters on the license plate can be segmented.
And the character recognition module 3015 is configured to extract features of the characters through an algorithm based on an artificial neural network, train a neural network classifier to perform discrimination using the obtained features, recognize an input character image, and output a license plate number.
It should be noted that the characters obtained by segmentation can be subjected to feature extraction based on an algorithm of an artificial neural network, and then the obtained features are used for training a neural network classifier to distinguish, so that the input character image can be recognized, and the license plate number can be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In this application, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. An intelligent traffic control system, comprising: the sensor comprises an inductive sensor and a PLC programmable controller;
the inductive sensor is used for acquiring a traffic flow signal of a road intersection and sending the traffic flow signal to the PLC;
the PLC is used for acquiring traffic flow signals of the road intersection and changing the operation time of the traffic lights in real time according to the traffic flow signals of the road intersection.
2. The intelligent traffic control system of claim 1, further comprising:
and the external control circuit is used for acquiring a current pulse induction signal generated when a vehicle passes through the inductive sensor, converting the current pulse induction signal into a standard pulse signal to be output, and counting pulses of level pulses to finish the detection and counting of the traffic flow.
3. The intelligent traffic control system according to claim 2, wherein the external control circuit includes a signal source input circuit, a comparison discrimination signal input circuit, and a standard voltage pulse circuit;
the signal source input circuit is used for outputting sine signals or cosine signals and inputting the output sine signals or cosine signals to the comparison discrimination signal input circuit;
the comparison discrimination signal input circuit is used for converting the current pulse induction signal into the standard pulse signal;
and the standard voltage pulse circuit is used for inputting the standard pulse signal as a control input signal to the PLC programmable controller.
4. The intelligent traffic control system of claim 1, further comprising:
and the violation recording module is used for acquiring the image of the passing vehicle, analyzing whether the vehicle violates the regulations or not according to the image and acquiring the license plate information of the vehicle in the image.
5. The intelligent traffic control system of claim 4, wherein the violation recording module comprises an image acquisition module, and the image acquisition module is configured to continuously capture passing vehicles to acquire high-definition images containing vehicle license plate information.
6. The intelligent traffic control system of claim 4, wherein the violation recording module further comprises a vehicle detection module;
the vehicle detection module is used for positioning the license plate in the image, performing character segmentation on the license plate, and performing character recognition on the segmented characters so as to recognize license plate information in the image.
7. The intelligent traffic control system of claim 6, wherein the vehicle detection module comprises:
the preprocessing module is used for preprocessing the image so that the image can be clearly identified.
8. The intelligent traffic control system of claim 7, wherein the vehicle detection module further comprises:
the license plate positioning module is used for performing row-column scanning on the preprocessed image, determining a candidate region containing license plate line segments in the column direction through the row scanning, determining the initial row coordinate and the height of the candidate region, and then performing row-column scanning on the candidate region to determine the column coordinate and the width, so that a license plate region is determined.
9. The intelligent traffic control system of claim 8, wherein the vehicle detection module further comprises:
and the character segmentation module is used for segmenting the characters of the image after the license plate is positioned, so that the area of the characters is further accurate.
10. The intelligent traffic control system of claim 9, wherein the vehicle detection module further comprises:
and the character recognition module is used for extracting the characteristics of the characters through an algorithm based on an artificial neural network, training a neural network classifier to judge by using the obtained characteristics, recognizing the input character image and outputting the license plate number.
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| CN114916113A (en) * | 2022-05-24 | 2022-08-16 | 山东浪潮科学研究院有限公司 | Intelligent street lamp energy-saving system and method based on FPGA and storage medium |
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