
A study on the Efficacy of Alcohol Detection in the prevention of Drunken Driving
Author(s) -
Santosh Kumar,
S Shripriyan,
R Vinithraja,
G Manikandan,
M Sandeep
Publication year - 2021
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/1145/1/012084
Subject(s) - relay , automotive engineering , drunk driving , battery (electricity) , arduino , computer science , engineering , electrical engineering , embedded system , poison control , injury prevention , medicine , medical emergency , power (physics) , physics , quantum mechanics
Accidents on roads due to drunken driving have become increasingly common. We have developed a device which can prevent the accidents that occur due to drunken driving by stalling the vehicle. We are using the (MQ-3) sensor which can detect alcoholic content from the driver’s breath. The Arduino NANO board is very flexible and can be programmed to the MQ-3 sensor’s sensitivity requirements which in turn can actuate the relay to break the circuit which connects the starter motor and the battery, thereby stalling the vehicle. This circuit is quite compact and be integrated in all types of vehicles.