CN111724605A - Black smoke vehicle monitoring system and monitoring method thereof - Google Patents
Black smoke vehicle monitoring system and monitoring method thereof Download PDFInfo
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Abstract
The invention discloses a black smoke vehicle monitoring system and a monitoring method thereof, wherein the black smoke vehicle monitoring system comprises a snapshot unit, the snapshot unit comprises a local camera and an opposite camera and is used for acquiring information of vehicles coming and going; the light supplementing unit is arranged on one side of the snapshot unit and can supplement light to the surrounding environment of the vehicle when the surrounding illumination condition is smaller than a preset illumination condition; the black smoke vehicle analysis unit is connected with the snapshot unit and can match the license plate data of the same vehicle according to the front data and the tail data and identify the illegal black smoke vehicle. The black smoke vehicle monitoring system has the advantages of accurately identifying illegal black smoke vehicles, identifying illegal black smoke vehicles at night or under the condition of low environmental visibility, automatically exempting from cleaning vehicles and the like.
Description
Technical Field
The invention belongs to the technical field of environmental monitoring, and particularly relates to a black smoke vehicle monitoring system and a monitoring method thereof.
Background
Along with the rapid development of the economy of China, the number of domestic motor vehicles is increasing. And the tail gas of the motor vehicle contains a large amount of pollution gas, and the serious pollution to the atmospheric environment can be brought by the failure of effective control. Aiming at the current situations that the quantity of motor vehicles on urban roads is rapidly increased, the tail gas pollution of the motor vehicles is increasingly highlighted, and the control pressure is continuously increased, the intelligent video monitoring can obviously become a powerful auxiliary tool for dealing with traffic pollution and environmental pollution processing emergencies.
Traditional video monitoring utilizes video image to shoot, snatchs the black cigarette car in the video image, then through simple image processing technique, carries out machine identification to the vehicle in the video image, and this kind of mode can be through vehicle afterbody characteristic discernment black cigarette car to a certain extent. But the influence of environment and illumination is easy to generate false alarm, and in addition, due to the limitation of a camera and an algorithm, the cleaning of the vehicle cannot be automatically and accurately exempted, and the black smoke vehicle cannot be identified at night.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art.
Therefore, the invention provides a black smoke vehicle monitoring system which has the advantages of accurately identifying black smoke vehicles, identifying at night, automatically exempting from cleaning vehicles and the like.
The invention further provides a monitoring method of the black smoke vehicle monitoring system, the monitoring method is simple and convenient, the monitoring efficiency is high, and the situations of missing report, wrong report and the like are not easy to occur.
According to the embodiment of the first aspect of the invention, the black smoke vehicle monitoring system comprises: the vehicle-mounted video capturing system comprises a capturing unit and a capturing unit, wherein the capturing unit comprises a local camera and an opposite camera, the local camera can acquire video information of all vehicles in one local direction of a road, the video information corresponding to the local camera comprises tail data of each vehicle, the opposite camera can acquire video information of all vehicles opposite to the same side of the road, and the video information corresponding to the opposite camera is front data of each vehicle; the light supplementing unit is arranged on one side of the snapshot unit and can supplement light to the surrounding environment of the vehicle when the surrounding illumination condition is smaller than a preset illumination condition; the black smoke vehicle analysis unit is connected with the snapshot unit and can match the license plate data of the same vehicle according to the front data and the tail data and identify the illegal black smoke vehicle.
According to the black smoke vehicle monitoring system provided by the embodiment of the invention, firstly, the number plate information of vehicles coming and going and the emission condition of tail gas can be clearly recorded by arranging the local camera and the opposite camera; secondly, the light supplementing unit is arranged on one side of the snapshot unit, so that a clear vehicle video image can be still obtained at night or under the condition of poor environmental conditions; finally, the video image is analyzed through the black smoke vehicle analysis unit, tail gas which does not accord with the national emission standard can be identified and matched with the license plate data, and therefore supervision of the black smoke vehicle is achieved. This black cigarette car monitoring system not only can accurately discern the black cigarette car of violation, can also discern at night, carries out automatic exemption to cleaning vehicle.
According to one embodiment of the invention, the front data comprises real-time video picture information corresponding to a head license plate of the vehicle, and the tail data comprises black smoke video information and license plate information corresponding to a tail of the vehicle.
According to one embodiment of the invention, the black smoke car analysis unit comprises: the black smoke data acquisition module can acquire images and videos of the to-be-detected area according to the tail data; the computer vision recognition module is connected with the black smoke data acquisition module and can recognize the tail gas smoke intensity in the image and the video of the area to be detected and analyze and detect the tail gas smoke intensity; and the black cigarette vehicle identification module is connected with the computer vision identification module and can identify the illegal black cigarette vehicle with the smoke Ringelmann blackness meeting the preset conditions according to the analysis and detection result of the computer vision identification module.
According to one embodiment of the invention, the fume lingermann blackness of the illegal black-fume car is more than two levels.
According to one embodiment of the invention, the computer vision recognition module comprises: the image selection module is connected with the black smoke data acquisition module and can select an image which accords with a preset black smoke outline from the images and videos of the tail data acquisition to-be-detected area; the comparison module compares the image obtained by the image selection module with the scaled-down Ringelmann smoke intensity bar in the same picture; and the calibration module is connected with the comparison module and can judge and calibrate the concentration level of the tobacco forest Raman blackness of the illegal black tobacco vehicle according to the comparison result obtained by the comparison module.
According to one embodiment of the present invention, the black smoke data acquisition module includes: an image preprocessing module capable of preprocessing the tail data, the preprocessing step including at least one of a brightness adjustment step, an image correction step, and a denoising step.
According to one embodiment of the present invention, the front data and/or the rear data includes vehicle number information, number plate color information, body color information, and vehicle type information.
According to an embodiment of the invention, the black smoke vehicle monitoring system further comprises: the network switch is respectively connected with the snapshot unit, the light supplement unit and the black smoke vehicle analysis unit; the server is connected with the network switch and can store the front data and the tail data transmitted by the network switch for storage; a client connected to the network switch and capable of communicating with the server and the capturing unit through the network switch.
According to the monitoring method of the black smoke vehicle monitoring system in the embodiment of the second aspect of the invention, the method comprises the following steps: s1, video information of all vehicles on one side of the road in the local direction is acquired through local cameras in the capturing unit, the video information corresponding to the local cameras comprises tail data of each vehicle, video information of all vehicles opposite to the same side of the road is acquired through opposite cameras in the capturing unit, and the video information corresponding to the opposite cameras is front data of each vehicle; s2, when the ambient lighting condition is smaller than the preset lighting condition, the ambient environment of the vehicle is supplemented with light through a light supplementing unit; and S3, matching the license plate data of the same vehicle and identifying the illegal black smoke vehicle according to the front data and the tail data through a black smoke vehicle analysis unit.
According to one embodiment of the present invention, step S3 includes the steps of: s31, acquiring the image and the video of the area to be detected according to the tail data through a black smoke data acquisition module, and respectively adjusting the brightness of image areas with different brightness or different frame areas of a video sequence by adopting a brightness adjustment algorithm; s32, identifying the smoke intensity of the tail gas in the image and the video of the area to be detected through a computer vision identification module, and analyzing and detecting; and S33, identifying the illegal black cigarette vehicle with the smoke Ringelmann blackness meeting the preset conditions through the black cigarette vehicle identification module according to the analysis and detection result of the computer vision identification module.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic illustration of an installation of a black smoke vehicle monitoring system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a monitoring method of a black smoke vehicle monitoring system according to an embodiment of the invention;
fig. 3 is a schematic view of a monitoring method of the black smoke vehicle monitoring system according to the embodiment of the invention.
Reference numerals:
black smoke car monitoring system 100;
a snapshot unit 10; the directional camera 11; an opposing camera 12;
a light supplement unit 20;
a black smoke car analysis unit 30;
a network switch 40.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the invention. Furthermore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The black smoke vehicle monitoring system 100 according to the embodiment of the invention is described in detail below with reference to the drawings.
As shown in fig. 1 to 3, a black smoke vehicle monitoring system 100 according to an embodiment of the present invention includes a capturing unit 10, a light supplement unit 20, and a black smoke vehicle analysis unit 30.
Specifically, the capturing unit 10 includes a directional camera 11 and an opposite direction camera 12, the directional camera 11 can acquire video information of all vehicles on one side of a road in the direction, the video information corresponding to the directional camera 11 includes tail data of each vehicle, the opposite direction camera 12 can acquire video information of all vehicles opposite to the same side of the road, the video information corresponding to the opposite direction camera 12 is front data of each vehicle, the light supplement unit 20 is arranged on one side of the capturing unit 10 and can supplement light for the surrounding environment of the vehicle when the surrounding illumination condition is smaller than a preset illumination condition, the black smoke vehicle analysis unit 30 is connected with the capturing unit 10, and the black smoke vehicle analysis unit 30 can match license plate data of the same vehicle according to the front data and the tail data and identify illegal black smoke vehicles.
In other words, the black smoke vehicle monitoring system 100 mainly includes the capturing unit 10, the light supplement unit 20, and the black smoke vehicle analysis unit 30. The capturing unit 10 mainly comprises a directional camera 11 and an opposite direction camera 12, video information of all vehicles on one side of a road in the direction can be acquired through the directional camera 11, the video information comprises tail data of each vehicle, video information of all vehicles on the same side of the road in the opposite direction can be acquired through the opposite direction camera 10, the video information comprises front data of each vehicle, namely, the forward and backward license plates can be automatically matched through the cooperation of the directional camera 11 and the opposite direction camera 10, and videos of all lanes, traffic flow and comprehensive information of vehicles at monitoring points are acquired.
One side of taking a candid photograph the unit can be equipped with light filling unit 20, and light filling unit 20 can be opened automatically when night or illumination condition are not enough, through accurate optical design, makes the even effective distribution of light intensity, reaches whole highlight effect, strengthens road environment illumination condition, realizes taking a candid photograph unit 10 also can accurate clear candid photograph black cigarette car image information when night or illumination condition are not enough to realize taking a candid photograph night.
When the illegal black smoke vehicle is identified, the front data and the tail data which are acquired are transmitted to the black smoke vehicle analysis unit 30 through the snapshot unit 10, the tail data and the front data of the coming vehicle are matched and analyzed through the black smoke vehicle analysis unit 30, the vehicle which is not in accordance with the standard is identified, then the video can be transmitted to the rear end monitoring center server, and the technical effect of monitoring the black smoke vehicle is achieved.
The black smoke vehicle analysis unit 30 may track a moving vehicle target by using a filtering technique, perform neural network training on characteristics of black smoke, recognize a vehicle emitting black smoke by using a brand new image algorithm in combination with dynamic characteristics thereof, extract a black smoke profile in combination with a professional data model, determine whether the black smoke emitted from the tail of the vehicle exceeds a standard, record a video of the vehicle emitting black smoke, and automatically judge and record a vehicle license plate by combining a license plate recognition technique.
Therefore, according to the black smoke vehicle monitoring system provided by the embodiment of the invention, firstly, the license plate information of vehicles coming and going and the emission condition of tail gas can be clearly recorded by arranging the local camera and the opposite camera; secondly, the light supplementing unit is arranged on one side of the snapshot unit, so that a clear vehicle video image can be still obtained at night or under the condition of poor environmental conditions; finally, the video image is analyzed through the black smoke vehicle analysis unit, tail gas which does not accord with the national emission standard can be identified and matched with the license plate data, and therefore supervision of the black smoke vehicle is achieved. This black cigarette car monitoring system not only can accurately discern the black cigarette car of violation, can also discern at night, carries out automatic exemption to cleaning vehicle.
According to one embodiment of the invention, the front data comprises real-time video picture information corresponding to a head license plate of the vehicle, the tail data comprises black smoke video information and license plate information corresponding to a tail of the vehicle, and the effect of effectively reducing the monitoring error rate can be achieved by collecting and automatically matching the front data and the tail data information of the vehicle.
Optionally, the black smoke vehicle analysis unit 30 includes a black smoke data acquisition module, a computer vision recognition module, and a black smoke vehicle recognition module. The black cigarette data acquisition module can acquire images and videos of a to-be-detected area according to tail data, and the black cigarette data acquisition module can automatically perform comprehensive analysis on static characteristics and dynamic characteristics of black cigarettes of a snapshot vehicle. The computer vision recognition module is connected with the black smoke data acquisition module and can recognize the tail gas smoke intensity in the image and the video of the area to be detected and analyze and detect the tail gas smoke intensity, and the black smoke vehicle recognition module is connected with the computer vision recognition module and can recognize the illegal black smoke vehicle with the smoke lingemann black intensity meeting the preset conditions according to the analysis and detection result of the computer vision recognition module. That is to say, when the analysis detects, can obtain the image and the video of waiting to detect the region through black cigarette data acquisition module earlier, the tail gas smoke intensity in the image that rethread computer vision recognition module obtained and the video carries out detection analysis, and finally, discerns the violating black cigarette car that the tobacco smoke German blackness accords with the preset condition through black cigarette car recognition module.
It should be noted that, the black smoke car analysis unit 30 can also set parameters for black smoke identification to meet different requirements for black smoke identification of different smoke colors in different environments, and not only can the setting and modification be performed through the local computer, but also the remote setting of the client can be accepted through the network. The main contents of the black smoke identification parameters comprise alarm multi-parameter threshold values, options such as various requirements for monitoring vehicles and the like, and setting such as timing automatic opening and closing algorithms. The video of the black smoke vehicle can be managed in different items through the network docking monitoring center platform.
Optionally, the lingemann blackness of the smoke of the illegal black smoke vehicle is more than two levels. That is, when the analysis and detection result of the black-smoke vehicle analysis unit 30 on the image and video of the area to be detected is two levels or more of lingemann smoke intensity, the vehicle is determined to be the illegal black-smoke vehicle.
According to one embodiment of the invention, the computer vision recognition module comprises an image selection module, a comparison module and a calibration module.
Specifically, the image selecting module is connected with the black cigarette data acquiring module and can select an image which accords with a preset black cigarette outline from an image and a video of a to-be-detected region in tail data acquisition, the image obtained by the image selecting module and the scaled-down Ringelmann smoke intensity bar are compared in the same picture by the comparing module, and the calibrating module is connected with the comparing module and can judge and calibrate the concentration level of the Ringelmann blackness of the smoke of the illegal black cigarette vehicle according to a comparison result obtained by the comparing module. Specifically, the computer vision recognition module can automatically select the most representative image in the black smoke emission video of the captured black smoke vehicle, compare the most representative image with the reduced Ringelmann smoke intensity bar in the same picture, judge the pollution level of the captured black smoke vehicle according to the concentration of the tail gas black smoke and calibrate the pollution level, so that automatic recognition is realized, and vehicles are automatically exempted from cleaning.
Optionally, the black smoke data acquisition module includes an image preprocessing module, and the image preprocessing module can perform a preprocessing step on the tail data, and process the acquired image before analysis, so that the image meets the standard of normal operation of the algorithm. The preprocessing step comprises at least one of a brightness adjusting step, an image correcting step and a denoising step, and the image preprocessing module is adopted to adjust the brightness of the image, correct the image, denoise the image and the like, so that the image is clearer, and the accuracy of subsequent identification work can be improved. The image preprocessing module can adopt a video preprocessing algorithm, and the video preprocessing algorithm can be used for carrying out brightness adjustment, image correction, denoising and other processing on the video.
The brightness and the color of the image can be changed due to the influence of weather, seasons and the like, and the brightness of the image is preprocessed, so that the image can be stabilized in a certain brightness range and meets the requirement of an algorithm. The brightness adjustment algorithm effectively processes images and videos with insufficient or uneven space-time exposure, respectively adjusts the brightness of image areas with different brightness or different frame areas of a video sequence by adopting a divide-and-conquer strategy, and simultaneously processes the condition that the brightness of the same scene area is inconsistent in time through the idea of key frame guidance on the videos, thereby ensuring the consistency of the processed effects and obtaining a better brightness adjustment effect. Meanwhile, detail information of processing effect can be effectively maintained, the processing of the algorithm does not adjust pixel points in an isolated manner, but considers the spatial adjacency relation of pixels on an original image and a video, so that the gradient of a result image or a video frame is consistent with the original effect as far as possible, and therefore the method can well maintain the layering of a large amount of detail texture information and a highlight area of the original image and the video frame and is suitable for the following analysis requirements.
Furthermore, the front data and/or the tail data comprise vehicle number information, license plate color information, vehicle body color information and vehicle type information, and illegal black smoke vehicles can be locked more accurately by acquiring information of vehicles coming and going in an all-around manner, so that missing judgment and misjudgment are avoided.
According to one embodiment of the present invention, the black smoke vehicle monitoring system 100 further comprises a network switch 40, a server, and a client.
Specifically, network switch 40 links to each other with snapshot unit 10, light filling unit 20 and black cigarette car analysis unit 30 respectively, and the server links to each other with network switch 40 and can save through the front data and the afterbody data of network switch 40 transmission, and the client links to each other with network switch 40 and can communicate with server and snapshot unit 10 through network switch 40.
In other words, the network switch 40 can be used to realize the networking access of the snapshot unit 10, the light supplement unit 20, and the black smoke vehicle analysis unit 30, the black smoke vehicle analysis unit 30 can acquire a video stream from the snapshot unit 10 through the network and perform decoding and video restoration, the server has a storage function and is mainly responsible for storing front data and tail data of a vehicle to be detected, which are transmitted by the network switch 40, as basic data for subsequent service processing, and the client has a powerful communication function and is mainly in communication with the server and the snapshot unit 10 through the network switch 40 and performs parameter setting on the server and the snapshot unit 10, such as white balance, exposure time, analog and digital gains, and the like, so as to adapt to different environmental changes.
When in actual use, can install and deploy a snapshot unit for every control point, through black cigarette car analysis unit 30 analysis road real-time video, realize multichannel high definition video black cigarette car intelligent analysis snapshot, license plate discernment and many guns linkage, adopt video intelligent identification analysis algorithm among the black cigarette car analysis unit 30, can carry out static characteristic and dynamic characteristic to the black cigarette of snapshot vehicle automatically and carry out the integrated analysis, whether comprehensive judgement this vehicle is the black cigarette car, and take notes the Manger blackness of the forest, realize the uploading of data such as snapshot video, snapshot picture and license plate.
As shown in fig. 2, a black smoke vehicle monitoring method according to an embodiment of the present invention includes the following steps:
s1, video information of all vehicles on one side of the road in the local direction is acquired through the local direction camera 11 in the capturing unit 10, the video information corresponding to the local direction camera 11 comprises tail data of each vehicle, video information of all vehicles on the same side of the road in the opposite direction is acquired through the opposite direction camera 12 in the capturing unit 10, and the video information corresponding to the opposite direction camera 12 is front data of each vehicle; s2, performing light supplement on the surrounding environment of the vehicle through the light supplement unit 20 when the ambient lighting condition is smaller than the preset lighting condition; and S3, matching the license plate data of the same vehicle and identifying the illegal black smoke vehicle according to the front data and the tail data through the black smoke vehicle analysis unit 30.
That is to say, positive data and the afterbody data of all vehicles are obtained through snapshot unit 10, cooperate light filling unit 20 to carry out the light filling when the ambient light is not enough, and rethread black cigarette car analysis unit 30 matches positive data and afterbody data to analyze the afterbody data and obtain the black cigarette car of violation, through above-mentioned monitoring method, can effectively improve the monitoring accuracy of the black cigarette car of violation, and can realize still can obtain clear image under night or the low environment of visibility.
According to one embodiment of the present invention, step S3 includes the steps of: s31, acquiring the image and the video of the area to be detected according to the tail data through the black smoke data acquisition module, and respectively adjusting the brightness of image areas with different brightness or different frame areas of a video sequence by adopting a brightness adjustment algorithm; s32, identifying the smoke intensity of the tail gas in the image and the video of the area to be detected through a computer vision identification module, and analyzing and detecting; and S33, identifying the illegal black tobacco vehicle with the smoke Ringelmann blackness meeting the preset conditions through the black tobacco vehicle identification module according to the analysis and detection result of the computer vision identification module. That is to say, the method can effectively improve the image definition, well keep a great deal of detail texture information and the layering sense of a highlight area of the original image and the video frame, meet the following analysis requirements and reduce the error rate.
In summary, according to the black smoke vehicle monitoring system and the monitoring method thereof of the embodiment of the present invention, by using the snapshot unit 10, the light supplement unit 20, and the black smoke vehicle analysis unit 30 in cooperation, the black smoke vehicle monitoring system can combine an intelligent traffic monitoring technology with a black smoke recognition technology, wherein the intelligent traffic technology includes a vehicle tracking technology and a license plate recognition technology, and the black smoke vehicle video recognition technology developed by combining the existing black smoke recognition technology on the basis of using the traffic monitoring technology realizes the following functions, namely, performing tracking recognition while segmenting each vehicle running in a road, recognizing tail characteristics of most vehicles, recognizing black smoke characteristics of more than two levels of lingemannian smoke intensity, and using an adjustable technology to eliminate automatic adaptation functions of light change and shadow influence of a road environment. The black smoke vehicle monitoring system and the monitoring method thereof adopt an intelligent video monitoring technology to perform real-time online monitoring on vehicles running on a road, automatically distinguish and clean the vehicles and the vehicles emitting black smoke, realize the change of a monitoring mode from manual operation to full automation, realize all-weather uninterrupted real-time online monitoring on motor vehicles running on the road, automatically find the vehicles emitting black smoke in a monitoring picture, regard the vehicles emitting black smoke as an abnormal condition, and perform automatic distinguishing, automatic screening, automatic alarming and automatic transmission.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A black smoke vehicle monitoring system, comprising:
the vehicle-mounted video capturing system comprises a capturing unit and a capturing unit, wherein the capturing unit comprises a local camera and an opposite camera, the local camera can acquire video information of all vehicles in one local direction of a road, the video information corresponding to the local camera comprises tail data of each vehicle, the opposite camera can acquire video information of all vehicles opposite to the same side of the road, and the video information corresponding to the opposite camera is front data of each vehicle;
the light supplementing unit is arranged on one side of the snapshot unit and can supplement light to the surrounding environment of the vehicle when the surrounding illumination condition is smaller than a preset illumination condition;
the black smoke vehicle analysis unit is connected with the snapshot unit and can match the license plate data of the same vehicle according to the front data and the tail data and identify the illegal black smoke vehicle.
2. The black smoke vehicle monitoring system of claim 1, wherein the front data comprises real-time video picture information corresponding to a head license plate of the vehicle, and the tail data comprises black smoke video information and license plate information corresponding to a tail of the vehicle.
3. The black smoke vehicle monitoring system of claim 1, wherein the black smoke vehicle analysis unit comprises:
the black smoke data acquisition module can acquire images and videos of the to-be-detected area according to the tail data;
the computer vision recognition module is connected with the black smoke data acquisition module and can recognize the tail gas smoke intensity in the image and the video of the area to be detected and analyze and detect the tail gas smoke intensity;
and the black cigarette vehicle identification module is connected with the computer vision identification module and can identify the illegal black cigarette vehicle with the smoke Ringelmann blackness meeting the preset conditions according to the analysis and detection result of the computer vision identification module.
4. The black smoke vehicle monitoring system of claim 3, wherein the fume ringelmann blackness of the illegal black smoke vehicle is more than two levels.
5. The black smoke vehicle monitoring system of claim 3, wherein the computer vision recognition module comprises:
the image selection module is connected with the black smoke data acquisition module and can select an image which accords with a preset black smoke outline from the images and videos of the tail data acquisition to-be-detected area;
the comparison module compares the image obtained by the image selection module with the scaled-down Ringelmann smoke intensity bar in the same picture;
and the calibration module is connected with the comparison module and can judge and calibrate the concentration level of the tobacco forest Raman blackness of the illegal black tobacco vehicle according to the comparison result obtained by the comparison module.
6. The black smoke vehicle monitoring system of claim 3, wherein the black smoke data acquisition module comprises:
an image preprocessing module capable of preprocessing the tail data, the preprocessing step including at least one of a brightness adjustment step, an image correction step, and a denoising step.
7. The black smoke vehicle monitoring system of claim 1, wherein the front data and/or the tail data comprises vehicle number information, license plate color information, body color information, and vehicle type information.
8. The black smoke vehicle monitoring system of claim 1, further comprising:
the network switch is respectively connected with the snapshot unit, the light supplement unit and the black smoke vehicle analysis unit;
the server is connected with the network switch and can store the front data and the tail data transmitted by the network switch for storage;
a client connected to the network switch and capable of communicating with the server and the capturing unit through the network switch.
9. A black smoke vehicle monitoring method is characterized by comprising the following steps:
s1, video information of all vehicles on one side of the road in the local direction is acquired through local cameras in the capturing unit, the video information corresponding to the local cameras comprises tail data of each vehicle, video information of all vehicles opposite to the same side of the road is acquired through opposite cameras in the capturing unit, and the video information corresponding to the opposite cameras is front data of each vehicle;
s2, when the ambient lighting condition is smaller than the preset lighting condition, the ambient environment of the vehicle is supplemented with light through a light supplementing unit;
and S3, matching the license plate data of the same vehicle and identifying the illegal black smoke vehicle according to the front data and the tail data through a black smoke vehicle analysis unit.
10. The soot vehicle monitoring system of claim 9, wherein step S3 includes the steps of:
s31, acquiring the image and the video of the area to be detected according to the tail data through a black smoke data acquisition module, and respectively adjusting the brightness of image areas with different brightness or different frame areas of a video sequence by adopting a brightness adjustment algorithm;
s32, identifying the smoke intensity of the tail gas in the image and the video of the area to be detected through a computer vision identification module, and analyzing and detecting;
and S33, identifying the illegal black cigarette vehicle with the smoke Ringelmann blackness meeting the preset conditions through the black cigarette vehicle identification module according to the analysis and detection result of the computer vision identification module.
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