Journal of Applied Science and Engineering

Published by Tamkang University Press


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M.S. Kamalesh1 , Bharatiraja Chokkalingam2 , Jeevanantham Arumugam3 , Gomathy Sengottaiyan1 , Shanmugavadivel Subramani1 , and Mansoor Ahmad Shah2

1Department of Electrical and Electronics Engineering, Kongu Engineering College, Tamilnadu, India.
2Department of Electrical and Electronics Engineering, SRM Institute of Science Technology, Tamilnadu, India
3Department of Information Technology, Kongu Engineering College, Tamilnadu, India.


Received: June 27, 2020
Accepted: August 25, 2020
Publication Date: February 1, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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One of the major causes for road accidents in Indian roads is due to the potholes and humps. There is currently no system for detecting and identifying such potholes; thus, human intervention checks are performed manually, resulting in poor road maintenance, particularly in villages. In this digital era, it becomes essential to identify and report these potholes to the corresponding authorities in an automated version. This paper proposes a simple IoT based low-cost portable and economically affordable device to detect the potholes and intimate the damaged scenario to the corresponding authorities. This methodology avoids road accidents and ensures the proper maintenance. This proposed system can be installed on the moving vehicle and images are captured and mailed to the respective authority along with the GPS coordinates, which further alert the authorities to take corrective measures. This paper mainly focuses on implementing the above technology to motorbikes in a customized version as per the user requirements. The coordinates of the Global Positioning System (GPS) location will be stored in the ThingsBoard server and hosted in the Amazon Web Service. The entire system was successfully implemented using Raspberry Pi3 Single Board Computer (SBC) to capture, analyze the images and for email communication protocol. Amazon Web Service (AWS) is used as a backend to store the GPS location of the damaged rods with 100 % reporting success rate.

Keywords: Raspberry Pi3, Amazon Web Service, Things Board, Pothole detection, IoT system


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