Abstract: Driver errors in vehicular incidents present a formidable and hazardous challenge to our community. These lapses in judgment and attention can lead to severe accidents, occasionally with fatal consequences, further compounded by the often-uncontrollable circumstances that follow. A multitude of factors contribute to these automotive disasters, including excessive speed, driving while fatigued, and a range of distractions like texting, engaging in conversations with passengers, or tending to children, among others. Although the public is generally aware of the risks associated with reckless driving, the full extent of peril stemming from driver fatigue might not be fully appreciated. The stark statistics serve as a stark reminder of the urgency surrounding this issue. Each day, roughly 1,374 lives are lost, amounting to nearly 400,000 annual fatalities. On average, we witness approximately 57 road accidents and 17 resulting deaths per hour, all stemming from motor vehicle accidents. What's even more concerning is that 54.1 percent of those involved in these car accidents fall within the age bracket of 18 to 34. Recognizing the gravity of this problem, the Government of India, in collaboration with the Department of Border Transport and the Department of Highways, has embarked on an ambitious plan to reduce road accidents and associated fatalities by 50 percent by the year 2022. This is not just a national concern but a global one, as car accidents have emerged as one of the world's most pressing security issues. In India alone, a staggering 500,000 road accidents were reported in 2015. One of the most perilous scenarios occurs when a driver, overwhelmed by fatigue, struggles to maintain control of their vehicle. Fatigued drivers are often unable to react swiftly to unforeseen situations, frequently leading to accidents. It is, therefore, imperative to deploy monitoring systems designed to detect driver drowsiness, effectively mitigating the risks of accidents. In response to this critical necessity, our focus is on the implementation of an eye twitch sensor, integrated into a program aimed at preventing car accidents. This paper scrutinizes the mechanisms for detecting various collision-related factors and the development of a system geared towards reducing such incidents."
Keywords: Defensive Driving, Road Safety, Time and Money Savings, Vehicle Security
Priyanshi Sahu, Gayatri Bonsule,Prachita Madekar, Akash Raut, Chetan Nagpure " AURDINO BASED VEHICLE ACCIDENT CONTROLLER USING EYE-BLINK SENSOR ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 195-199, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121027
| DOI: 10.17148/IJARCCE.2024.121027