Vehicles Violation Detection System Based On Digital Image Processing Technology

Today, cars have become one of the most important vehicles while people travelling. Thepopularity of cars brings a lot of convenience to people’s daily life, but also bringsdisadvantages at the same time, such as the heavy pressure of road traffic, the difficulty oftraffic supervision and the risk of travel. Due to these problems, people began to develop aVehicles Violation detection system based on digital image processing technology. Thissystem is an important part of the intelligent traffic detection systems, whose appearancegreatly improved the increasingly congested traffic conditions. There is a big blank areabased on the time and place conditions for traffic supervision, due to natural factors andhuman physiological factors, such as night hours, bad rainy weather, and snowy weather andso on. Therefore, the appearance of intelligent traffic detection system fills the supervisionblank efficiently, and solves the police shortage problem caused by the vehicle number andcomplexity of road condition. This system has a profound impact for the development ofChina’s future harmonious road traffic.According to the statistics of traffic accidents around the world, the crossroads becomethe hardest-hit area for all countries, and more than half of the reason for this is driversrunning red lights problem. This situation has become a significant threat against traffic safety,people’s lives and property safety. The traditional solution is to fit induction coil sensors oraxle sensors at various traffic junctions. This method has achieved good results during acertain period of time. But With the development of science and technology, its variousdeficiencies and shortcomings emerge gradually: destruction problem to roads, constructioninconvenience and the impact for traffic while constructing, such as frequent checkout andmaintenance. This is no longer suitable for these high-density and high-efficiencymanagement requirements of today. Intelligent traffic detection systems based on digitalimage processing technology, uses the computer’s advanced digital image tech effectively,have reached comprehensive improvement and not only in construction and installation butalso in maintenance and impact, compared to the traditional methods in past. Adopting imageprocessing tech, it solves the aging problem of the old equipment with convenience,speediness, and high efficiency.This paper describes the structure of "Vehicles Violation detection system based ondigital image processing technology", the technology used and the functions achieved. AfterIn-depth study of the" People’s Republic of China’s Road Traffic Safety Law " and " motorvehicle violation automatic recording system’s general technical conditions", learn the requirements of the three photos. Violation of traffic lights means that motor vehicle crossesthe stop-line and continue driving when the red-light at a signal-controlled intersections andsections. Red light running identified, the system needs to record motor vehicle images inthree different locations. First one is taken before crossing stop line, the second is taken whenthe whole body of the vehicle has crossed the stop line while light red, the third one is takenwhile motor vehicles entering the intersection or cornering to ensure the driving direction.This paper uses four steps to complete the process of identifying vehicles running redlights, they are: acquisition and reconstruction of target image, pre-processing of digitalimages, extracting characters of moving objects, and the identification of violations. Theimage preprocessing process is mainly about gray level transformation; histogramtransformation as well as sharpening and smoothing denoise. The purpose is to remove imagenoise and distortion in the uptake and delivery process, to facilitate follow-up observation andidentification. After that are image binarization processing, image enhancement, segmentationand edge detection. The central idea of this paper is to extract moving target, and then tojudge the behavior of the target, we could only consider the information we need. Thedigital image is divided into two parts of foreground and background by binarizationprocessing, ignoring the mussy information we do not need, such as trees, fences, etc. In theprocess of detection and extraction moving target, use the moving target detection algorithmbased on three-temporal differencing, which has better noise immunity than traditionaltwo-temporal differencing. The advantage of the three-temporal differencing is doing logicalAND(&&) computing between two adjacent temporal, this could make the outline of theimage more clear, project foreground objects and background segmentation results would bebetter. As for violations detection, it mainly uses K-average clustering algorithm based onroad segmentation thinking, the selected five attributes are the distance traveled, the angletraveled, car models, the centroid of X pixels and centroid of Y pixels. The first threeproperties are used to describe the moving state of the vehicle from different angles; thepurpose of the last two properties is to concentrate the pixel of the target object.In this paper, the design aims to find a more practical, convenient and effective vehicleviolation detection methods. The subject is designed based on the Internet of Things andrelated to the digital image processing, in which the communication part is implemented bymy senior fellow apprentice, so only a brief description about this part. This paper focuses onimage processing methods and the identification of the violation behavior.