An IOT Based Smart System for Accident Prevention and Detection

An IOT Based Smart System for Accident Prevention and Detection
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基于物联网的事故预防和检测智能系统

DOI:
10.1109/iccubea.2018.8697663
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发表时间:
2018
期刊:
2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)
影响因子:
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通讯作者:
Smita Khairnar
Smita Khairnar
中科院分区:
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文献类型:
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作者:
Sayanee Nanda;Harshad Joshi;Smita Khairnar

文献摘要

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如今,事故的数量迅速增加。每小时大约发生17起事故。自行车事故占所有事故的很大一部分;这是因为两轮车没有四轮车那么多的安全参数。造成这种情况的原因可能是由于没有戴头盔,驾驶时感到昏昏欲睡,饮酒,两辆车在没有通知双方的情况下靠近,违反交通信号,无有效驾驶执照或无驾驶执照驾驶,粗心驾驶,无意中触发加速踏板等。本文的主要目的是提出一个系统,可以有效地帮助防止任何类型的事故,如果这种情况发生,那么它如何检测并通知有关当局和人员,以便情况可以立即得到处理。这个系统通过振动传感器,加速度计来检测事故。在检测方面,我们使用GPS和GSM模块来定位事故现场,并通过短信的方式相应地通知当事人的亲人和附近的医院。仅仅向附近的医院发送短信是不够的,因为它不能避免二次事故,因此,该系统也满足了这一要求。该系统提供了一种特殊的预防和检测系统,为司机提供最终的灵丹妙药,确保安全,并通过在适当的时间采取适当的措施防止生命损失。它还检查驾驶员是否昏昏欲睡或处于不稳定状态,这可能导致踏板混淆,在某些情况下,意外加速或转向错误的方向,这可能导致车辆与其他车辆或混凝土道路障碍物相撞。该系统还提供了一种机制,通过该机制,它可以识别骑自行车的人是否拥有有效的驾驶执照,或者通过已经嵌入在驾驶执照上的RFID来识别驾驶执照。自行车上的RFID阅读器最多有10个注册用户,这样家庭成员或他/她的朋友也可以骑自行车。因此,该机制还可以处理与盗窃相关的问题。
Nowadays, the number of accidents has increased rapidly. About 17 accidents take place every hour. Bike accidents constitute a major chunk of all accidents; this is because two-wheelers do not have as many safety parameters which are included in four-wheelers. Reasons causing it can be due to not wearing a helmet, feeling drowsy while driving, alcohol consumption, two vehicles coming into closer proximity without both drivers' notice, breaking of traffic signals, driving without a valid or no driving license, careless driving, unintended triggering of the acceleration pedal, etc. The main objective of this paper is to propose a system which can effectively help in preventing any kind of mishaps and if such conditions occur then how it detects and informs the concerned authorities and people, so that the situation can be taken care of immediately. This system detects accidents by vibration sensors, accelerometers. For detection, we use GPS and GSM module which locates the site of the accident and correspondingly informs the person's near ones and nearby hospitals through a text message. Only sending a text message to nearby hospitals won't be enough because it cannot avoid secondary accidents and hence, this system caters this requirement too. The system provides an idiosyncratic prevention and detection system that dispenses the ultimate panacea for drivers which ensures safety and prevents loss of life by taking appropriate measures in right time. It also checks whether the driver is drowsy or in an unstable state which can lead to pedal mix-up and in some cases unintended acceleration or turning of the steering wheel to the wrong direction which can lead to crashing of the vehicle with other vehicles or concrete road barrier. This system also provides a mechanism by which it identifies whether the person that will be riding the bike has a valid driving license or a driving license at all by already embedded RFID on driving license. The RFID reader on the bike will have will have at most 10 registered users, so that the family members or his/her friends can also ride the bike. Hence, this mechanism also handles theft related issues.