Detection of Driver Drowsiness using Eye Blink Sensor

Author:

Kumari B.M Kusuma,Sethi Sampada,Kumar P Ramakanth,Kumar Nishant,Shankar Atulit

Abstract

Accidents due to driver drowsiness can be prevented using eye blink sensors. The driver is supposed to wear the eye blink sensor frame throughout the course of driving and blink has to be for a couple of seconds to detect drowsiness. Any random changes in steering movement leads to reduction in wheel speed. The threshold of the vibration sensor can be varied and accordingly action can be taken. The outcome is that the vibrator attached to eye blink sensor’s frame vibrates if the driver falls asleep and also the LCD displays the warning messages. The wheel is slowed or stopped depending on the condition. This is accompanied by the owner being notified through the GSM module, so the owner can retrieve the driver’s location, photograph and police station list near to driver’s location. This is how the driver can be alerted during drowsiness and the owner can be notified simultaneously  

Publisher

Science Publishing Corporation

Subject

Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology

Cited by 11 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. Fuzzy Logic-Based Accident Detection System for Vehicular Ad Hoc Networks: A Prototype Implementation;Wireless Personal Communications;2024-08-12

2. Development of microcontroller based technology for automatic safety control of vehicle braking system – A review;AIP Conference Proceedings;2024

3. Real-Time Smart Alert System for Prevention of Vehicle Accident and Fire: An IoT-Based Alarm System;Lecture Notes in Networks and Systems;2024

4. Smart Road Safety: An IoT Approach to Driver Drowsiness Detection and Prevention;Convergence of Machine Learning and IoT for Enabling the Future of Intelligent Systems;2024

5. Assisting the Paralyzed Person using Message Automation Technique;2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC);2023-12-14

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