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Paper Details

Paper Title
Most of the Indian rural and sub urban roads are not ideal for driving due to faded lanes, irregular potholes, improper and invisible road signs. This has led to many accidents causing loss of lives and severe damage to vehicles. Many techniques have been proposed in the past to detect these problems using image processing methods. But there has been little work specifically carried out for detecting such issues of Indian roads. Potholes can generate damage such as flat tire and wheel damage, impact and damage of lower vehicle, vehicle collision, and major accidents. Thus, accurately and quickly detecting potholes is one of the important tasks for determining proper strategies in ITS (Intelligent Transportation System) service and road management system. Several efforts have been made for developing a technology which can automatically detect and recognize potholes. In this project, a pothole two dimensional (2D) images based pothole detection method is used for improving the existing method. This system proposes a system Automatic detection of cracks in road surfaces, which is used to detect and find the severity level of cracks, used to reduce errors in manual calculation.
Ultrasonic Sensor, Raspberry Pi 3 model ,Pi camera, Motor driver L293D ,Python.
Others Details
Paper Id : 31249
Author Name : Harshita Shah
Co-Author Name(s) : Asma ShaikhChaitali PoyekarJohn Kenny
Volume/Issue No : Volume 05 Issue 04
Page No : 302-306
DOI Number : DOI:10.21090/IJAERD.31249
Publication Date : 2018-04-10
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website :
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406