IoT Protocol for Accident Spotting with Medical Facility

Author:

J. Patil Prachu,V. Zalke Ritika,R. Tumasare Kalyani,A. Shiwankar Bhavana,R. Singh Shivani,Sakhare Shailesh

Abstract

One of the many challenges that the world faces is traffic hazard. The major cause of this traffic risk is the presence of a huge number of vehicles on the road. As a result, it generates the most challenging issues, leading to an increase in the death toll due to road accidents that occur throughout the world. As a result, it necessitates the need to provide adequate transportation facilities, which will reduce the number of collisions and save human lives. The GPS, GSM, accelerometer, Arduino UNO technology, and vibration sensor are used to design and develop a vehicle accident detection model. The proposed approach is classified into three stages to prevent and detect the vehicular accidents. At the detection stage, a vibration sensor will be utilized to determine the position of the accident and to alert the user by sending SMS via the GSM module, which will include the user's data stored in Android applications. This data will be taken from the GPS module. The second phase occurs when moderate accidents occur and in such situation, the location will be detected by using a GPS module. After that, the nearby hospital receives a message about the accidents and accordingly they provide services to the accidents. At the same time, after detecting the location, a patient receives a message from the hospital urging them to take precautions. .

Publisher

Inventive Research Organization

Subject

General Medicine

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Continuous Passenger Monitoring and Accident Detection (CPMAD) System;Lecture Notes in Electrical Engineering;2023

2. Regional Language Translator and Event Detection Using Natural Language Processing;Machine Intelligence for Smart Applications;2023

3. Implementation of Distributed AI in an Autonomous Driving Application;December 2021;2022-04-04

4. Construction of Business Intelligence Model for Information Technology Sector with Decision Support System;December 2021;2022-03-14

5. Mobile Application for Haircut Art Community;2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS);2022-02-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3