Abstract:
Driving under the influence of alcohol is a leading cause of road accidents, resulting in
significant loss of life and property. The need for technological interventions to reduce accidents
caused by intoxicated drivers has become crucial. As a solution, this project aims to develop a
system capable of detecting alcohol consumption by drivers and preventing vehicle ignition if
alcohol is detected. Using affordable and accessible technology like Arduino, the project seeks to
provide a real-time, cost-effective, and efficient accident prevention system.
A technology called an alcohol detection driver system is used to stop drunk driving by
identifying alcohol in a motorist's breath or blood. This technology correctly measures the
amount of alcohol a driver has in their system using sensors and algorithms, and it stops the car
from starting if the amount is more than the legal limit. The number of fatal accidents and traffic
fatalities caused by drinking could be greatly decreased thanks to this technology. The main
focus of this project is to carry out the experiment in lowering the number of alcohol-related
incidents on the road. Alcohol detection devices come in a variety of forms right now, including
ignition interlocks, passive alcohol sensors, and in-car breath analyzers. Although these systems
have reduced the number of drunk driving accidents, there remain questions about their
efficiency, dependability, and cost. According to the sensor's specs, the output voltage of the
MQ-3 sensor reduces by 69% during the sensor's recovery period of 30 seconds at 69% of
baseline resistance. To assess the long-term viability and efficiency of these systems in lowering
alcohol-related accidents and enhancing traffic safety, more research is required.
