International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 06 | Jun 2022
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
Automatic Traffic Rules Violation Control and Vehicle Theft Detection Using Deep Learning Approach Priyanka A N1, Apoorva P2, Rakshitha R3, Vismaya J V4 UG Scholar, Information Science and Engineering Department, Sri Venkateshwara College of Engineering, Bengaluru, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------According to 2021, 1214 road crashes occur every day in Abstract - There is a rapid increase in number of vehicles 1,2,3,4
India. Two wheelers account for 25% of total road crash deaths. It is much obvious that people are violating the traffic rules and regulations and there is a high requirement to control it. Manual checking of vehicles is troublesome, and mistake-inclined, and problematic human memory. As a result, the need arises for a traffic violation detection system to deal with this, which can identify criminal traffic offenses instantly. The new system was required that could monitor these offenses 24x7, with least or no human resource requirement and could identify multiple traffic violations with high accuracy. This system is achieved by using computer vision technologies which enables computers to derive meaningful information from the digital images, and videos and deep Learning mainly used for classification which is been widely used in image classification. Since videos are captured from moving vehicles, the whole city is covered instead of a few signals and junctions. This enables traffic police to capture traffic violations happening in small lanes to highways.
using on road due to growing population and people’s need for comfort, more and more automobiles are being purchased in both urban and rural areas which leads to increasing traffic as a result there is a greater number of traffic violations happening in every corner of the world. As the traffic violation increases the number of road accidents happening are also increasing and leads to death of many lives. To control the traffic flow and create the safer environment there is a need to develop automatic tracking of traffic violation detection systems to automate the rules and regulations to eliminate lack of awareness among the humans. The proposed system can identify lane detection, over speed of the vehicles and also thefted vehicles. The proposed system gives high accuracy in detecting these violations with overall 90%. The proposed system is achieved using Computer Vision and Deep Learning techniques.
Key Words: Traffic Violation, YOLOv5, CNN, Vehicle Theft, Image Processing, Vehicle Detection, Vehicle Tracking.
1.2 PROPOSED SYSTEM
1. INTRODUCTION
The Closed-Circuit Television (CCTV) is placed at every street in public, in signals, in highways and also in junctions to capture the videos of vehicles. The captured vehicles footage is sent to the system as input to detect the vehicles that is violating traffic rules and regulations and classifies the type of violation such as Lane Detection, Over Speeding and stolen vehicles caused by that vehicle.
With the ever-increasing population of people and vehicles, traffic accidents increase every day. Traffic should be controlled fast and in time to prevent these types of situations. However, the size of the data can make it harder to control traffic. For this reason, detecting lane and wrong way violations from cameras would make traffic control easier. In this study, a software-based system is proposed that will minimize human errors.
The proposed system uses Computer Vision for image processing and uses the popular CNN algorithm for classification of violations. After the detection and classification is done the system extracts the number plate of that vehicle reads the license plate and intimates to the nearby police station so that further actions can be taken by police. Vehicle detection and tracking has to be done first in order to detect security lane or wrong lane and speed detection.
The problem of traffic violation has become a very serious in the present day. The very high volume of traffic is due to the increasing number of vehicles. A moving violation is any violation committed by the driver of a vehicle while it is in motion. Moving Violations are speeding, which can be exceeding a limit or (in some jurisdictions) simply driving at an unsafe speed, improper lane usage, such as failing to drive within a single lane. Every day, the problem is turning out to be more and more critical and crucial. With the increase in population the vehicles are also increasing due to which there is a increase in the rate of accidents in cities all over the country.
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1.3 RELATED BACKGROUND Lane boundaries is detected using a camera that captures the view of the road, mounted on the front of the vehicle. The lane markings on the road by giving the video of the road as an input to the system by using computer vision technology
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