文章基本信息

标题：Smart Transportation System using IOT and Computer Vision
本地全文：下载
作者：Vidushi Bhadola ; Neha Agrawal
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：3
页码：270-275
出版社：IJCSN publisher
摘要：Logistics is a process which ensures efficient and cost-effective flow of goods and. In India, the logistics sector is highly unorganized due to a lack of proper infrastructure and inclusion of technology which results in a lack of seamless movement of goods and people from one place to another. Also, with a surge in the number of taxis and trucks in the country due to increase in demand of the logistics sector, the accidents related to drunk driving and late alert of accident to the concerned authorities have drastically increased. In India, more than 60% of annual accidents are caused due to the menace of driving under the influence of alcohol. It is practically untenable for owners of these cab and trucks to keep an account of the activities of drivers and any accidents of these vehicles. The purpose of this research is outlining some of the key challenges faced by the logistics industry and providing a cost-effective and feasible solution for the same. This paper provides a solution called as SMART TRANSPORTATION SYSTEM and makes use of sensors and the IOT technology to track the activities of the drivers and notify the owners to take the right action and uses Computer Vision technology to detect a drowsy driver and alert him.
关键词：Accident alert; Drunk Driver; IOT; Drowsy Driver; Computer Vision; Arduino Uno; Shock Sensor; MQ;3 Sensor