Enhancing Vehicle Safety: A Comprehensive Approach to Accident Prevention Through Alcohol Detection and Ignition Control

This paper aims to enhance vehicle safety by implementing an alcohol detection method to prevent accidents caused by driving under the influence. The approach involves integrating an MQ-3 alcohol sensor with a microcontroller, specifically an Arduino board. The MQ-3 sensor is employed to detect alcohol content in human breath, functioning within a fine sensitivity range of approximately 2 meters. The prototype includes an ignition system that simulates spark plug activation, serving as an ignition starter for the vehicle's engine. The ignition system's operation is contingent on the detected blood alcohol content (BAC) from human breaths as sensed by the alcohol sensor. The Arduino board facilitates the seamless integration of the alcohol sensor and offers expanded functionality compared to conventional microcontrollers. Notably, the compact size of the MQ-3 sensor allows for discreet installation within any vehicle, contributing to the device's adaptability. Emphasizing safety, the device is designed to safeguard individuals inside the vehicle, making it a valuable preventive measure against the risks associated with driving under the influence of alcohol.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910848
Primary Topic
Fire Detection and Safety Systems
Type
article
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article

Enhancing Vehicle Safety: A Comprehensive Approach to Accident Prevention Through Alcohol Detection and Ignition Control

A. Aranganathan, V. Vedanarayanan, S. Sivasundarapandian, T Gomathi et al.
Fire Detection and Safety Systems
article

Enhancing Vehicle Safety: A Comprehensive Approach to Accident Prevention Through Alcohol Detection and Ignition Control

A. Aranganathan, V. Vedanarayanan, S. Sivasundarapandian, T Gomathi, Jerrin Simla A, Sakthi Prabha R
article en

Abstract

This paper aims to enhance vehicle safety by implementing an alcohol detection method to prevent accidents caused by driving under the influence. The approach involves integrating an MQ-3 alcohol sensor with a microcontroller, specifically an Arduino board. The MQ-3 sensor is employed to detect alcohol content in human breath, functioning within a fine sensitivity range of approximately 2 meters. The prototype includes an ignition system that simulates spark plug activation, serving as an ignition starter for the vehicle's engine. The ignition system's operation is contingent on the detected blood alcohol content (BAC) from human breaths as sensed by the alcohol sensor. The Arduino board facilitates the seamless integration of the alcohol sensor and offers expanded functionality compared to conventional microcontrollers. Notably, the compact size of the MQ-3 sensor allows for discreet installation within any vehicle, contributing to the device's adaptability. Emphasizing safety, the device is designed to safeguard individuals inside the vehicle, making it a valuable preventive measure against the risks associated with driving under the influence of alcohol.

Sathyabama Institute of Science and Technology (IN), HKBK College of Engineering, Saveetha University (IN)
Good health and well-being
Openalex Percentile: Top 66%
Fire Detection and Safety Systems
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