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Paper Title

Vehicle Collision Avoidance System And Vital Health Monitoring

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Registration ID: IJNRD_199731

Published ID: IJNRD2306366

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Keywords

CAN protocol; Fatigue; Rear-end collision

Abstract

Driver and passenger safety are one of the primary tasks of modern automobiles. Among Indian states, Kerala has suffered more traffic accidents in the past 50 years. In Kerala, where more than 4,000 people die each year, road deaths are more than 10 times the number of homicides in the state. Sleep deprived drivers still account for about 40 percent of traffic accidents. The current situation requires an urgent focus on emergency response actions across all sectors. Astonishing traffic accident statistics and the growing number of vehicles on the road require intelligent safety mechanisms to help drivers deal with immediate hazardous situations such as potential rear-end collisions. Fatigue and lack of sleep while driving are often responsible for serious accidents. But you can spot early signs of exhaustion before anything serious happens. We offer this system to overcome situations such as rear-end collisions and to detect driver drowsiness. In this way, it is a system that minimizes the causes of damage caused by causes that we encounter in our daily lives. The main goal of this project is to reduce the number of accidents in our country. This system uses an ultrasonic sensor to avoid a collision with a vehicle behind by using the distance to the vehicle in front. If the leading car applies the sudden brake or applies gentle braking, the following car driver is automatically alerted and the speed of the car is automatically reduced using CAN protocol thus preventing the collision. Driver’s poor health is one of the core factors causing vehicle accidents. It monitors the driver’s health status in real time and uses machine learning methods to calculate the eye closing and blink rate to determine the driver’s health status. It also monitors the driver’s heart rate, and if the heart rate exceeds a lower or upper threshold, the system automatically slows the vehicle, illuminates all warning lights in the vehicle, and sends an emergency call to the nearest medical facility. Way. By combining these two ideas together, our system will be able to reduce the number of traffic accidents in our country.

How To Cite (APA)

Anu Raj, Alex J Kalathil, Juby P Shibu, Karthik S Nair, & Sreeshilpa P Mohanan (June-2023). Vehicle Collision Avoidance System And Vital Health Monitoring. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), d653-d657. https://ijnrd.org/papers/IJNRD2306366.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_199731

Published Paper Id: IJNRD2306366

Research Area: Automobile Engineering 

Author Type: Indian Author

Country: Kottaym, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306366.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306366

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