INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
CAN protocol; Fatigue; Rear-end collision
Cite Article:
"Vehicle Collision Avoidance System And Vital Health Monitoring", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d653-d657, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306366.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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