An Intelligent Real Time Pothole Detection and Warning System for Automobile Applications Based on IoT Technology

被引:9
|
作者
Kamalesh, M. S. [1 ]
Chokkalingam, Bharatiraja [2 ]
Arumugam, Jeevanantham [3 ]
Sengottaiyan, Gomathy [1 ]
Subramani, Shanmugavadivel [1 ]
Shah, Mansoor Ahmad [2 ]
机构
[1] Kongu Engn Coll, Dept Elect & Elect Engn, Perundurai, Tamil Nadu, India
[2] SRM Inst Sci Technol, Dept Elect & Elect Engn, Chennai, Tamil Nadu, India
[3] Kongu Engn Coll, Dept Informat Technol, Perundurai, Tamil Nadu, India
来源
关键词
Raspberry Pi3; Amazon Web Service; Things Board; Pothole detection; IoT system;
D O I
10.6180/jase.202102_24(1).0010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 AmazonWeb 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.
引用
收藏
页码:77 / 81
页数:5
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