Collecting and processing system based on vehicle passing information data

Abstract

The invention relates to the technical field of vehicle monitoring, and discloses an acquisition and processing system based on vehicle passing information data, which comprises the following working modules: an identification module for recording the vehicle information data, performing video acquisition on the vehicle information by setting a plurality of cameras on the basis of a camera group, and transmitting the acquired video to a server; the system comprises an identification module for identifying vehicle information, a labeling module for labeling the vehicle information, and a data processing module for classifying and storing the identified information, comprehensively processing videos on the basis of a graphics processor, counting and recording the information of a single vehicle, and outputting the recorded information. The classification processing module is used for carrying out identification processing on the marked vehicles through an image processor; and the data analysis module is used for extracting stored information and carrying out intelligent analysis on the information through an algorithm. The collecting and processing system based on the vehicle passing information data has the advantage that the communication information can be conveniently collected and classified.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle monitoring, and in particular to a collection and processing system based on vehicle traffic information data. Background Art

[0002] With the increase in travel and transportation needs, the number of cars on the road has gradually increased. With the development of new forces, new energy vehicles have also been added to the energy category. At this time, the requirements for roads have become more important than before. At the beginning of road construction, it should be considered what type of vehicle the road will serve.

[0003] For some locations where there is no road construction or road reconstruction is about to be carried out, in order to ensure the quality of the road, the vehicle traffic information of the road should be collected first, and then the construction should be carried out according to the types of vehicles currently passing by the road and the frequency of such vehicles passing by. If the construction is carried out blindly, it is very likely to waste costs or the road will be damaged abnormally quickly after the construction is completed. Therefore, a collection and processing system based on vehicle traffic information data is proposed to solve the above problems. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a collection and processing system based on vehicle traffic information data, which has the advantage of being able to conveniently collect and classify communication information, and solves the problem that for some locations where there is no road construction or road reconstruction is about to be carried out, in order to ensure the quality of the road, the vehicle traffic information of the road should be collected first, and then construction should be carried out according to the types of vehicles passing through the current road and the frequency of such vehicles passing. If construction is carried out blindly, it is very likely to waste costs or the road will be damaged abnormally quickly after construction is completed.

[0006] (II) Technical solution

[0007] The technical solution of the present invention to solve the above technical problems is as follows: A system for collecting and processing vehicle traffic information data includes the following working modules:

[0008] Identification module: records vehicle information data;

[0009] Annotation module: annotate vehicle information;

[0010] Data processing module: classifies and stores the information that has been identified and processed;

[0011] Classification processing module: the marked vehicles are identified and processed through the image processor;

[0012] Data analysis module: extracts stored information and conducts intelligent analysis through algorithms.

[0013] The beneficial effects of the present invention are:

[0014] The vehicle traffic information data-based collection and processing system has the advantage of being able to conveniently collect communication information and classify and process it.

[0015] Based on the above technical solution, the present invention can also be improved as follows.

[0016] Furthermore, the recognition module is based on a camera group and collects vehicle information through video by setting up multiple cameras.

[0017] The beneficial effect of adopting the above further solution is that the setting of multiple cameras facilitates the collection of various information.

[0018] Furthermore, the annotation module annotates files by renaming them, and the renaming logic here is the vehicle serial number-time of the day.

[0019] The beneficial effect of adopting the above further solution is that the classification method is simple and efficient, and the processing efficiency is increased.

[0020] Furthermore, the data processing module performs comprehensive processing on the video based on a graphics processor and performs statistical recording on the information of a single vehicle.

[0021] The beneficial effect of adopting the above further solution is that the setting of the graphics processor completes all operations that require graphics processing.

[0022] Furthermore, the processing flow of the video by the data processing module is as follows:

[0023] S1, cutting the video through a graphics processor to extract multiple image frames;

[0024] S2, sharpening the image frame by a graphics processor;

[0025] S3. Compare the sharpened image frames through a graphics processor and select the image with the highest definition to save.

[0026] Furthermore, the classification processing module includes the following submodules:

[0027] Vehicle type recognition module: classifies and recognizes vehicle types through videos;

[0028] License plate recognition module: Identify vehicle license plates through video.

[0029] The beneficial effect of adopting the above further solution is that the attributes of vehicles can be classified by both vehicle model and license plate.

[0030] The beneficial effect of adopting the above further solution is that this processing method can provide a clearer image when checking subsequent image frames.

[0031] Furthermore, when the data processing module performs statistical recording, after recording the text information, the image information is saved as an attached drawing.

[0032] The beneficial effect of adopting the above further solution is that the storage method of image and text information can reduce memory consumption to the greatest extent.

[0033] Furthermore, the data analysis module statistically summarizes the number of vehicles and vehicle attributes and calculates the proportion of each vehicle attribute to the total number of vehicles, wherein the vehicle attributes include energy type and vehicle type category.

[0034] The beneficial effect of adopting the above further solution is that the data can be easily converted into a visual chart after being recorded, making the presentation of the data more intuitive.

[0035] Furthermore, the energy types include new energy vehicles and fuel vehicles, and the vehicle types include sedans, SUVs, trucks and commercial vehicles;

[0036] The vehicle type category is determined by checking the vehicle size through a vehicle type recognition module based on a graphics processor;

[0037] The energy type is determined by a color recognition device using a license plate recognition module based on a graphics processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a structural block diagram of each module of the present invention;

[0039] Figure 2 This is a processing flow chart of the data processing module of the present invention; DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] In the embodiment, Figure 1-2 A vehicle traffic information data collection and processing system is provided, and the present invention includes the following working modules:

[0042] Identification module: records vehicle information data;

[0043] The identification module also includes an energy saving activation module;

[0044] Annotation module: annotate vehicle information;

[0045] Classification processing module: the marked vehicles are identified and processed through the image processor;

[0046] Data processing module: classifies and stores the information that has been identified and processed;

[0047] Data analysis module: extracts stored information and conducts intelligent analysis through algorithms.

[0048] Among them, the recognition module is based on the camera group, and multiple cameras are set up to collect video information of the vehicle.

[0049] The energy-saving activation module consists of two groups of sensing lines, which are arranged upstream and downstream of the camera group respectively. When passing vehicles, the sensing lines are triggered, and at the same time, the sensing lines stimulate the camera group to start and work. This can ensure that the camera is in a dormant state when no vehicles pass by on this section of road, thereby increasing the life of the recognition module and reducing energy consumption.

[0050] Among them, the annotation module's annotation method is to rename the file, and the renaming logic here is the vehicle serial number-time of the day.

[0051] The data processing module processes the video comprehensively based on the graphics processor and makes statistical records of the information of a single vehicle.

[0052] Among them, the data processing module processes the video as follows:

[0053] S1, cutting the video through a graphics processor to extract multiple image frames;

[0054] S2, sharpening the image frame by a graphics processor;

[0055] S3. Compare the sharpened image frames through a graphics processor and select the image with the highest definition to save.

[0056] In particular, the graphics processor needs to have multi-threaded processing capabilities, and before cutting the video, the video needs to be initially cut. The working logic of the graphics processor multi-threaded processing is as follows:

[0057] Thread 1: Initially cut the graphics. The initial cut video starts with the first frame where the vehicle outline appears and ends with the last frame where the vehicle outline disappears.

[0058] Thread 2: Secondary processing of the video in the initial cut, extracting image frames and sharpening them;

[0059] Thread 3: Provide identification support for the vehicle model identification module;

[0060] Thread 4: Provide recognition support for the license plate recognition module;

[0061] In particular, the first and second threads of the graphics processor are primary operations. When thread one is processed, thread two starts running. After thread two, the image frame is copied, and the copied image frame is placed in thread three and thread four for parallel processing.

[0062] Among them, the classification processing module includes the following sub-modules:

[0063] Vehicle type recognition module: classifies and recognizes vehicle types through videos;

[0064] License plate recognition module: Identify vehicle license plates through video.

[0065] In particular, after the recognition is completed, the current video is renamed again, and the renaming logic is time-car type-energy type.

[0066] When the data processing module performs statistical recording, the text information is recorded and the image information is saved as an attached figure.

[0067] Among them, the data analysis module statistically summarizes the number of vehicles and vehicle attributes respectively, and calculates the proportion of each vehicle attribute to the total number of vehicles. Vehicle attributes include energy type and vehicle type category.

[0068] Among them, energy types include new energy vehicles and fuel vehicles, and vehicle categories include sedans, SUVs, trucks and commercial vehicles;

[0069] The vehicle type category is determined by checking the vehicle size through a graphics processor-based vehicle type recognition module;

[0070] The energy type is determined by taking a photo of the color recognition device using a graphics processor-based license plate recognition module.

[0071] After being processed by the collection system, the following vehicle information can be obtained:

[0072] 1. The frequency of vehicle appearance on that day;

[0073] 2. The proportion of each type of vehicle that appeared on that day;

[0074] 3. The proportion of energy types used by vehicles on that day;

[0075] The above information can be used to obtain basic traffic information of the road section. By collecting data at a certain period of time, combined with different driving habits caused by different energy types and the road pressure intensity brought by the vehicle model, the maximum load of the current road can be obtained. Based on the maximum load, we can have a clear understanding of the strength required for the current road.

[0076] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vehicle traffic information data collection and processing system, characterized in that: Including the following working modules: Identification module: records vehicle information data; Annotation module: annotate vehicle information; Data processing module: classifies and stores the information that has been identified and processed; Classification processing module: the marked vehicles are identified and processed through the image processor; Data analysis module: extracts stored information and conducts intelligent analysis through algorithms.

2. A vehicle traffic information data collection and processing system according to claim 1, characterized in that: The recognition module is based on a camera group and collects vehicle information through video by setting up multiple cameras.

3. The vehicle traffic information data collection and processing system according to claim 1 is characterized in that: The annotation module annotates by renaming the file, and the renaming logic here is the vehicle serial number-time of the day.

4. The vehicle traffic information data collection and processing system according to claim 1, characterized in that: The data processing module performs comprehensive processing on the video based on a graphics processor and performs statistical recording on the information of a single vehicle.

5. The vehicle traffic information data collection and processing system according to claim 1 is characterized in that: The data processing module processes the video as follows: S1, cutting the video through a graphics processor to extract multiple image frames; S2, sharpening the image frame by a graphics processor; S3. Compare the sharpened image frames through a graphics processor and select the image with the highest definition to save.

6. The vehicle traffic information data collection and processing system according to claim 1, characterized in that: The classification processing module includes the following submodules: Vehicle type recognition module: classifies and recognizes vehicle types through videos; License plate recognition module: Identify vehicle license plates through video.

7. The vehicle traffic information data collection and processing system according to claim 1 is characterized in that: When the data processing module performs statistical recording, the text information is recorded and the image information is saved as an attached drawing.

8. The vehicle traffic information data collection and processing system according to claim 1 is characterized in that: The data analysis module statistically summarizes the number of vehicles and vehicle attributes respectively and calculates the proportion of each vehicle attribute to the total number of vehicles, wherein the vehicle attributes include energy type and vehicle type category.

9. The vehicle traffic information data collection and processing system according to claim 8, characterized in that: The energy types include new energy vehicles and fuel vehicles, and the vehicle categories include sedans, SUVs, trucks and commercial vehicles; The vehicle type category is determined by checking the vehicle size through a vehicle type recognition module based on a graphics processor; The energy type is determined by a color recognition device using a license plate recognition module based on a graphics processor.

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