阅读说明：本技术 一种基于物联网技术的交通监控系统 (Traffic monitoring system based on internet of things technology ) 是由 刘小芳 曹梓健 于 2021-08-03 设计创作，主要内容包括：本发明公开了一种基于物联网技术的交通监控系统,包括基于视频的车辆速度检测模块,所述车辆速度检测模块包括机动车车道车速检测探头和车道虚拟线圈,所述车道车速检测探头、补光灯设于车道上侧,且车道车速检测探头、补光灯用于对车道车辆进行抓拍和测速,所述车道虚拟线圈位于车道的测速底层。本发明对基于物联网获取到的视频数据和图像数据进行处理,实现对车辆速度检测、车辆行为语义分析、车牌识别等功能,并且能够对违章车辆进行抓拍,然后识别违章车辆的车牌,有利于推动智能交通的管理与控制,降低交通事故的发生。(The invention discloses a traffic monitoring system based on the technology of Internet of things, which comprises a vehicle speed detection module based on videos, wherein the vehicle speed detection module comprises a vehicle lane speed detection probe and a lane virtual coil, the lane speed detection probe and a light supplement lamp are arranged on the upper side of a lane, the lane speed detection probe and the light supplement lamp are used for capturing and measuring the speed of lane vehicles, and the lane virtual coil is positioned at the speed measurement bottom layer of the lane. The invention processes the video data and the image data acquired based on the Internet of things, realizes the functions of vehicle speed detection, vehicle behavior semantic analysis, license plate recognition and the like, can snapshot the violation vehicles and then recognize the license plates of the violation vehicles, is beneficial to promoting the management and control of intelligent traffic and reduces the occurrence of traffic accidents.)

1. A traffic monitoring system based on the technology of the Internet of things is characterized by comprising:

the vehicle speed detection module based on videos comprises a motor vehicle lane vehicle speed detection probe and a lane virtual coil, wherein the lane vehicle speed detection probe and a light supplement lamp are arranged on the upper side of a lane and are used for capturing and measuring the speed of a lane vehicle, the lane virtual coil is positioned on a speed measurement bottom layer of the lane, the lane virtual coil is of a racket-shaped structure and comprises a capturing frame body coil and a starting coil, and the middle of one side of the capturing frame body coil is connected with one end of the starting coil;

the vehicle behavior semantic analysis module based on the video comprises a high-definition bayonet integrated probe and a lane line coil, wherein the lane line coil is positioned on two sides of the lane virtual coil, the high-definition bayonet integrated probe is used for collecting driving behaviors of a vehicle passing through a lane at the position of the probe, and the lane line coil is used for judging and analyzing the driving behaviors;

the vehicle license plate recognition system comprises a license plate recognition module based on urban roads, wherein the license plate recognition module is based on the snapshot behavior of a lane speed detection probe, and the license plate recognition module recognizes the license plate information of vehicles passing through an intersection according to an algorithm.

2. The traffic monitoring system based on the internet of things technology as claimed in claim 1, wherein the license plate recognition module uses the characteristics of the license plate region to distinguish and segment the license plate region from the whole vehicle image, and the segmented license plate region image is used to determine the number information of the license plate.

3. The internet of things technology-based traffic monitoring system of claim 2, wherein the characteristics of the license plate region include color, shape, gray scale distribution and characters.

4. The traffic monitoring system based on the internet of things technology as claimed in claim 3, wherein the color of the license plate area is used for distinguishing vehicle types including new energy, small fuel vehicles, large fuel vehicles, police vehicles and national vehicles for harboring and Australia.

5. The traffic monitoring system based on the internet of things technology as claimed in claim 3, wherein the shape and gray distribution of the license plate region are used for scanning the distribution position information of the number information, letters and numbers on the license plate.

6. The traffic monitoring system based on the internet of things technology as claimed in claim 3, wherein the characters in the license plate region are used for judging the province and city information represented by the license plate and the letter information in the license plate.

Technical Field

The invention relates to the technical field of Internet of things, in particular to a traffic monitoring system based on the Internet of things technology.

Background

The Internet of Things (Internet of Things, abbreviated as IoT) is a network that enables all common objects capable of performing independent functions to be interconnected and intercommunicated based on information carriers such as the Internet and a traditional telecommunication network. The application fields of the method mainly comprise transportation, logistics, industrial manufacturing, health care, intelligent environments (families, offices and factories) and the like, and the method has very wide market prospect.

With the development of technologies such as internet and cloud computing, the internet of things is used in more and more fields, and the internet of things technology is also used in many aspects of smart cities.

In recent years, various intelligent traffic monitoring systems based on the internet of things are diversified, but most of the intelligent traffic monitoring systems have single functions and cannot meet the requirement of complete monitoring of vehicles on urban roads, for example, in the existing system capable of detecting vehicles and monitoring traffic flow, data is simply transmitted and displayed and is not processed, so that a large amount of labor cost is required for monitoring, most of the existing video-based vehicle behavior semantic detection systems are too complex in technology and cannot realize real-time detection, most of the existing license plate recognition systems still use algorithms with low robustness, such as edge detection, color characteristics and the like, for license plate positioning, and the existing license plate recognition systems cannot help when the background is complex and the colors of license plates are different.

Disclosure of Invention

Based on the technical problems in the background art, the invention provides a traffic monitoring system based on the technology of the Internet of things.

The invention provides a traffic monitoring system based on the technology of the Internet of things, which comprises:

the vehicle speed detection module based on videos comprises a motor vehicle lane vehicle speed detection probe and a lane virtual coil, wherein the lane vehicle speed detection probe and a light supplement lamp are arranged on the upper side of a lane and are used for capturing and measuring the speed of a lane vehicle, the lane virtual coil is positioned on a speed measurement bottom layer of the lane, the lane virtual coil is of a racket-shaped structure and comprises a capturing frame body coil and a starting coil, and the middle of one side of the capturing frame body coil is connected with one end of the starting coil;

the vehicle behavior semantic analysis module based on the video comprises a high-definition bayonet integrated probe and a lane line coil, wherein the lane line coil is positioned on two sides of the lane virtual coil, the high-definition bayonet integrated probe is used for collecting driving behaviors of a vehicle passing through a lane at the position of the probe, and the lane line coil is used for judging and analyzing the driving behaviors;

the vehicle license plate recognition system comprises a license plate recognition module based on urban roads, wherein the license plate recognition module is based on the snapshot behavior of a lane speed detection probe, and the license plate recognition module recognizes the license plate information of vehicles passing through an intersection according to an algorithm.

As a further scheme of the invention, the algorithm of the license plate recognition module is to distinguish and segment the license plate region from the whole vehicle image by using the characteristics of the license plate region, and the segmented license plate region image is used for determining the number information of the license plate.

As a further aspect of the present invention, the characteristics of the license plate region include color, shape, gray distribution, and characters.

As a further scheme of the invention, the color of the license plate area is used for distinguishing the types of vehicles, including new energy, small fuel vehicles, large fuel vehicles, police vehicles and national vehicles for harboring and Australia.

As a further scheme of the invention, the shape and the gray distribution of the license plate area are used for scanning the number information and the distribution position information of letters and numbers on the license plate.

As a further scheme of the invention, the characters in the license plate area are used for judging the province and city information represented by the license plate and the letter information in the license plate.

The beneficial effects of the invention are as follows: the intelligent traffic monitoring system provided by the invention is based on the application of the Internet of things, processes the video data and the image data acquired based on the Internet of things, realizes the functions of vehicle speed detection, vehicle behavior semantic analysis, license plate identification and the like, can snapshot the violation vehicles and then identify the license plates of the violation vehicles, is beneficial to promoting the management and control of intelligent traffic and reduces the occurrence of traffic accidents.

Drawings

Fig. 1 is a system composition block diagram of a traffic monitoring system based on the technology of internet of things, which is provided by the invention;

fig. 2 is a schematic system structure diagram of a traffic monitoring system based on the internet of things technology provided by the invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.

In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.

Referring to fig. 1-2, a traffic monitoring system based on internet of things technology is characterized by comprising a video-based vehicle speed detection module, a video-based vehicle behavior semantic analysis module and a license plate recognition module based on urban roads, wherein the video-based vehicle speed detection module comprises a motor vehicle lane speed detection probe and a lane virtual coil, the lane speed detection probe and a light supplement lamp are arranged on the upper side of a lane, the lane speed detection probe and the light supplement lamp are used for capturing and measuring the speed of a lane vehicle, the lane virtual coil is positioned on the speed measurement bottom layer of the lane, the lane virtual coil is of a racket-shaped structure and comprises a capturing frame coil and a starting coil, and the middle part of one side of the capturing frame coil is connected with one end of the starting coil;

when a vehicle enters an opening and closing coil at the front end of the lane virtual coil, the vehicle is similar to a conductor structure entering a magnetic field at the moment, a vehicle speed detection module can be started, the accurate vehicle speed can be calculated by measuring the time from the length of the opening and closing coil to the coil of the snapshot frame body, and the vehicle is snapshot for three times in the snapshot frame body opposite to the tail of the vehicle, and the vehicle speed detection module is divided into an entering frame body, a leaving frame body and is used for ensuring the verification of vehicle information;

the vehicle behavior semantic analysis module based on the video comprises a high-definition bayonet integrated probe and a lane line coil, wherein the lane line coil is positioned on two sides of a lane virtual coil, the high-definition bayonet integrated probe is used for collecting driving behaviors of a vehicle passing through a lane at the position of the probe, and the lane line coil is used for judging and analyzing the driving behaviors;

the system comprises a frame coil, a starting coil, a track line coil, a lane changing coil, a stopping coil and a overtaking coil, wherein the vehicle behaviors comprise that straight traveling, reverse traveling, lane changing, stopping and overtaking are judged by the track line coil, the straight traveling is that coils on two sides are not touched in the range of the track line coil all the time, the reverse traveling is that when a vehicle passes through the range of the track line coil, current for reversely cutting the coils appears in the capturing frame coil and the starting coil and is captured as the reverse traveling, the lane changing can detect the passing information of the track line between two adjacent lanes, the stopping coil moves in the track line coil and stops, and the overtaking coil has more passing information of one group of adjacent lanes than the lane changing coil;

the license plate recognition module based on urban roads is based on the snapshot behavior of a lane speed detection probe, the license plate recognition module recognizes the license plate information of vehicles passing through an intersection according to an algorithm, the algorithm of the license plate recognition module is to distinguish and segment a license plate region from the whole vehicle image by utilizing the characteristics of the license plate region, and the segmented license plate region image is used for determining the number information of the license plate, the license plate region is characterized by comprising colors, shapes, gray level distribution and characters, the colors of the license plate region are used for distinguishing vehicle types and comprise new energy, small fuel vehicles, large fuel vehicles, police vehicles and state, harbor and Australian vehicles, the shapes and the gray level distribution of the license plate region are used for scanning the number information, letters and the distribution position information of the numbers on the license plate, and the characters of the license plate region are used for judging the province and city information represented by the license plate and the letter information in the license plate.

The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.