International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 03 | Mar 2024
p-ISSN: 2395-0072
www.irjet.net
Drowsiness Detection System: A Literature Review Khushali Pandav1, Dr. Pallavi Devendra Tawde2 1Student, Department of MSc.IT, Nagindas Khandwala College, Mumbai, Maharashtra, India 2Assistant Professor, Nagindas Khandwala College, Mumbai, Maharashtra, India
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Road crashes are a top killer globally.As per many research and studies approximately 1.25 million deaths are calculated per year due to automobile accidents. From over all road accidents around 25% of accidents are caused due to drowsiness or feeling weakness of the driver. Drivers needs to be most attentive and active while driving any vehicle, drivers are very crucial person and any single mistake made by them can lead to a life of person in passenger seat or the driver himself. In our project we have gone through multiple research papers to know what type of project are already in the market and what are the ratios calculated for the deaths occurred by drowsiness in road accidents. We are developing a model which can help to reduce the road accidents caused due to drowsiness by alerting the driver, will make students more attentive in their online lectures and make an employee more productive. Our model is designed as using AI and OpenCV technology, it will detect the coordinates of eyes and as per the time till when they are closed it will alert the driver by alarming system through which they can stop driving and take rest to avoid any mishap. We can use our model not only for driver safety but also, we can use for online lectures and to keep student attentive during lectures.
According to NDTV Research 377 people die every day, equivalent to a jumbo jet crashing every day in India due to Road Accidents. Out of which around 40 percent of the Road Accident happens due to drivers dozing off the wheel as a study by the Central Road Research Institute states. Our focus in this project is to minimize that above mentioned 40 percent Accidents by our system. Drowsiness in drivers is a critical hazard and a big problem, and it has been identified as a direct or contributing cause in the majority of road accidents. While there is no perfect measurement of drowsy driving, studies show that it is alarmingly widespread. 60 percent of adult drivers reported to driving when fatigued in the previous years, according to the National Sleep Foundation's Sleep in America Poll. According to the CDC, one out of every 25 Americans fell asleep behind the wheel. The causes of drowsiness or sleeping behind the wheels can be Sleep Deprivation, intake of Alcohol, sleeping disorders or Insomnia, if person is on medications, if person is driving at night, having long working hours, having rotational or irregular shifts, or may be the person have night shift or latenight parties.
Key Words: Drowsiness, Fatigue, AI, alarming system, OpenCV
Drowsiness is a complex phenomenon characterised by a reduction in the driver's alertness and consciousness. Although there is no direct way to detect drowsiness, there are various indirect approaches that can be applied. Our Drowsiness detection is a safety module which will help in prevention of accidents caused by any of the above mentioned reasons. Our system will alert the driver if he/she has eyes closed for some particular time threshold. Once the threshold is breached our system will start beeping the alarm to make driver alert to take break.
1. INTRODUCTION India is one of the countries where traffic accidents are responsible for an alarmingly high number of deaths. Not only are there casualties, but a large number of individuals are critically injured in traffic accidents every year, and many of these people become handicapped. According to a World Bank report, traffic accidents killed 13 lakh people in the last decade and injured another 50 lakh people in the country. Road crashes and related kinds of accidents are a standard reason for injury and death among the human population. As per 2015 data from WHO, approximately 1.25 million individuals died as a result of traffic accidents around the world, which means that a fatal crash occurs every 25 seconds. In terms of vehicular pollution, India has only 1% of the world's total automobiles, yet it accounts for 11% of all global deaths due to road accidents, the highest rate in the world. Every year, over 4.5 lakh traffic accidents occur in India, claiming the lives of approximately 1.5 lakh people. This means that every hour, roughly 53 traffic accidents
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Impact Factor value: 8.226
Objectives The main objectives of drowsiness detection are:
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To detect eyes coordinates on one’s face.
To alert driver, student, employee etc if they are drowsy.
To reduce number of road accidents caused due to fatigue.
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