Open AccessA Vehicle Accident Detection and Driver Surveillance
Author(s) -
Dharshanika Selvakumar,
Satish Prabhu,
S. Karthik,
V. Karthik,
T. R. Shivaa,
H. Vaigunthan,
J. Gowtham
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/994/1/012017
Subject(s) - heartbeat , anticipation (artificial intelligence) , computer security , aeronautics , computer science , vehicle accident , accident (philosophy) , engineering , artificial intelligence , medicine , surgery , philosophy , epistemology
Perpetual increase in the number of deadly traffic accidents around the world are often considerablyminimized if contemporaryproficiency is integrated inside of the car towards observe the fitness of the driving force onconsistentinterims over the vehicle runningand precautionary measures predictably taken for the safety of all anxiouspersonnel, either within the vehicle or outside. The Raspberry Pi controller constantly records every one of the parameters of the vehicle based on the heartbeat, drowsiness and the level of alcohol consumption of the driver, for anticipation and recognition of mishap. In the unfortunate case of occurrence of an accident, the details and location of the vehicle is intimated to the emergency contacts via message immediately in order to seek first aid so as to prevent the avoidable loss of lives.