Smart Car Seat Belt: Accident Detection and Emergency Services in Smart City Environment

Majd Khaled Almohsen, Renad khlief alonzi, Taif Hammad Alanazi, Shahad Nasser BinSaif, Maha Mohammed almujally
{"title":"Smart Car Seat Belt: Accident Detection and Emergency Services in Smart City Environment","authors":"Majd Khaled Almohsen, Renad khlief alonzi, Taif Hammad Alanazi, Shahad Nasser BinSaif, Maha Mohammed almujally","doi":"10.1109/CAIDA51941.2021.9425108","DOIUrl":null,"url":null,"abstract":"Delay in the arrival of emergency team after a road accident is one of the main reasons for the increase in the number of deaths in many counties across the globe. Saudi Arabia is not exception. This was the key motivation to undertake this project with an aim to contribute an IoT product that can reduce the number of deaths resulting from the problem of delaying the arrival of emergency team or ambulance. In this project we have designed a seat belt with sensor that senses the heart beat rate of the driver and send a notification to the ambulance about the driver’s location if he had an accident. To determine whether accident has occurred, the raw data from heart beat sensor is collected along with the data from vibration sensor of the car. Based on the value of these two collected data, UNO microcontroller is used to process and determine whether it is an accident. If accident the controller utilizes the GPS in the car to get the current location and sends notification to the pre-stored emergency contact numbers. The system will use GSM technology to send an alert containing the location of the accident. Also, we have added a fingerprint to confirm the identity of the passenger so that the sensor does not make mistakes when monitoring the heart rate if the driver changes. Here, we use Arduino platform to implement the hardware connections and for programming Arduino IDE is used. Thus, the end-product of our project is expected to reduce the percentage of deaths that may occur due to delaying ambulance.","PeriodicalId":272573,"journal":{"name":"2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIDA51941.2021.9425108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Delay in the arrival of emergency team after a road accident is one of the main reasons for the increase in the number of deaths in many counties across the globe. Saudi Arabia is not exception. This was the key motivation to undertake this project with an aim to contribute an IoT product that can reduce the number of deaths resulting from the problem of delaying the arrival of emergency team or ambulance. In this project we have designed a seat belt with sensor that senses the heart beat rate of the driver and send a notification to the ambulance about the driver’s location if he had an accident. To determine whether accident has occurred, the raw data from heart beat sensor is collected along with the data from vibration sensor of the car. Based on the value of these two collected data, UNO microcontroller is used to process and determine whether it is an accident. If accident the controller utilizes the GPS in the car to get the current location and sends notification to the pre-stored emergency contact numbers. The system will use GSM technology to send an alert containing the location of the accident. Also, we have added a fingerprint to confirm the identity of the passenger so that the sensor does not make mistakes when monitoring the heart rate if the driver changes. Here, we use Arduino platform to implement the hardware connections and for programming Arduino IDE is used. Thus, the end-product of our project is expected to reduce the percentage of deaths that may occur due to delaying ambulance.
智能汽车安全带:智慧城市环境下的事故检测与应急服务
在全球许多国家,道路交通事故发生后,急救小组迟迟不能到达是导致死亡人数增加的主要原因之一。沙特阿拉伯也不例外。这是开展该项目的主要动机,目的是提供一种物联网产品,可以减少因延迟急救小组或救护车到达而导致的死亡人数。在这个项目中,我们设计了一个带有传感器的安全带,它可以感知驾驶员的心率,并在驾驶员发生事故时向救护车发送驾驶员位置的通知。为了确定是否发生了事故,收集了来自心跳传感器的原始数据以及来自汽车振动传感器的数据。根据这两个采集数据的值,UNO单片机进行处理,判断是否为事故。如果发生事故,控制器利用车内的GPS获取当前位置,并向预先存储的紧急联系电话发送通知。该系统将使用GSM技术发送包含事故位置的警报。另外,我们增加了一个指纹来确认乘客的身份,这样如果司机改变,传感器在监测心率时就不会出错。在这里,我们使用Arduino平台来实现硬件连接,并使用Arduino IDE进行编程。因此,我们项目的最终产品预计将减少因延误救护车而可能发生的死亡百分比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信