International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Accident Avoidance by Using Road Sign Recognition System Mr. Vinston Raja .R1, Prem Kumar .D 2, Stanley Alfred .S 3, Thameem .M 4 1Associate
Professor, Department of Information Technology, Panimalar Institute of Technology, Tamil Nadu, India 2, 3, 4 Student, Department of Information Technology, Panimalar Institute of Technology, Tamil Nadu, India
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Abstract - The increase in the number of vehicles has led to
interest to the research in the field of intelligent transport system because of its application in the driver assistant system that helps to regulate the traffic, indicate the state of the road, guiding and warning drivers and pedestrians. In resent past a lot of research is carried out for the robust TSR system in literature. Many of them used colour and shape segmentation for traffic sign detection. A driver assistant system like TSR helps the drivers to recognize the traffic signs and alert them to keep them safe from road accidents.
a number of traffic signs. Therefore, a system that can automatically recognize the traffic signs is being needed to reduce traffic accidents and to drive more freely. Traffic Sign Recognition (TSR) systems employ vehicle mounted cameras that identify traffic signs while driving on these road. Typically, these systems recognize speed limit signs, stop signs and warning signs such as pedestrian crossing, railroad crossing etc. Their primary function is to inform the driver of recent traffic signs that may have been missed due to distraction or inattentiveness. A camera scans the roadside for traffic signs. The Raspberry Pi is a credit card sized single computer or SoC that uses ARM1176JZF-S core SoC, or System on a Chip, is a method of placing all necessary electronics for running a computer on a single chip. Raspberry Pi needs an Operating system to start up. In the aim of cost reduction, the Raspberry Pi omits any on-board non-volatile memory used to store the boot loaders, Linux Kernels and file systems as seen in more traditional embedded systems. Rather, a SD/MMC card slot is provided for this purpose. After boot load, as per the application program Raspberry Pi will get execute.
NEED With this mechanism, safety is ensured to drivers as well as pedestrians since our system is more reliable and lifesaving. This is because traffic sign recognition and detection is made easy and reliable. Traffic sign is detected with image processing techniques and the detected traffic sign is given to traffic sign recognition algorithm as a parameter. Speed limit signs, stop signs and warning signs such as pedestrian crossing, railroad crossing etc. are detected. The detected traffic signs are recognized using an image processing system that uses segmentation algorithm. The resulting image is processed with Open CV. Another important need is that, even if the driver neglects the road sign while driving, the system can save the life of the driver and others by recognizing the road sign and altering the speed of the vehicle. The speed of the vehicle is changed according to the road sign detected with the help of Raspberry Pi.
Key Words: Traffic Sign Recognition (TSR), Raspberry Pi, ARM11, System on a Chip.
INTRODUCTION Vehicle driving has become more common in the life of people. Thus, traffic security is very important. Traffic signs are used for traffic warning, regulation, routing and management of important information for autonomous vehicle. These signs are intended to affect the behaviour of drivers. Due to the tremendous increase of road vehicles all over the world, the number of road accidents has also increased significantly. Among different causes of accidents, some major causes are ignorance of the road sign, occlusion of the road sign and distraction of the drivers. Our work describes the design of an embedded system for the “The Avoidance of Accidents Using Road Sign Recognition”. Traffic sign is a computer vision technique of driving assistance system in automatically recognition roadside traffic signs. Traffic sign detection and recognition (TSR) is an important research topic that continuously keeps wider
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INTENT The main objectives of the system are: Providing accuracy by using Open CV. Providing an alarm system for alerting the driver in case he neglects the traffic sign. Ensuring safety by changing speed of the vehicle according to the road sign detected.
LITERATURE SURVEY In a study, some image processing techniques are used to detect traffic signs and Fuzzy Integral is used to recognize traffic signs. [1]. Another paper represents road sign
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