Alcohol Sensing Alert with Engine Locking System

Abstract

This system is a visionary approach to help accidents caused by drunk driving, rather than staying for an accidentto be and also trying to remedy thesituation. Theuseof technology in precluding drunk driving has proven to be an effective tool in saving lives and precluding injuries on the road. The perpetration of the alcohol machine cinch system withMQ3detector has been met with some resistance from those who feel that it infringes on their particular freedoms. still, it\'s important to flash back that the safety of all road druggiesshould be a top precedence. The use of the system can help reduce the number of accidents causedbydrunkdriving andeventuallysavelives. It\'sasmallpricetopayforthesafetyofall road druggies. In conclusion, the alcohol machine cinch system with MQ3 detector is a critical technology in precluding alcohol- related accidents on the road. This system has been successfullyenforced incolorfulcountriesaroundtheworldandhasproventobeaneffective tool in reducing the number of accidents 4 caused by drunk driving. As the notorious saying goes,\" Safety does not be by accident.\" It\'s over to all of us to take visionary measures to insure the safety of ourselves and others on the road.

Introduction

The alcohol sensor and machine locking system aims to combat drunk driving, a major cause of road accidents and fatalities. Such systems have been implemented in various countries, often mandated for drivers with prior DUI offenses. Drunk driving remains a serious global issue, with over 10,000 alcohol-related fatalities reported in the U.S. in 2019 alone.

Related Work:
Several technologies have been explored to prevent drunk driving, including:

• Alcohol sensing with MQ-3 sensors, which detect alcohol in breath but mostly provide warnings without controlling the vehicle.

• Engine start prevention systems that lock ignition if alcohol is detected, though often costly and lacking real-time monitoring.

• Vehicle speed regulation integrated with alcohol detection is less explored.

• Emergency alerts via GSM modules to notify authorities during incidents.

• Use of microcontrollers like Arduino Nano for compact and efficient system control.

System Design and Architecture:
Key hardware components include:

• MQ-3 alcohol sensor to detect alcohol levels.

• Microcontroller (Arduino) to process sensor data and control outputs.

• Relay to lock the engine ignition if alcohol exceeds limits.

• Buzzer for audible alerts.

• Optional LCD display and GSM module for showing data and sending alerts.

The system operates by continuously monitoring alcohol levels before and during driving. If alcohol is detected above a threshold:

• Before driving, the ignition remains locked until the driver is sober.

• While driving, the system gradually slows the vehicle to a stop and locks the ignition until the driver’s condition normalizes.

Results:
The system was tested under various scenarios, demonstrating its ability to prevent drunk driving effectively through real-time monitoring and intervention.

Conclusion

In conclusion, the alcohol sensor and machine locking system is an important safety point that can potentially save lives and help accidents. It directly measures a motorist\'s Bac position and prevents them from operating their vehicle if their position is above the legal limit. still, the system also has limitations, similar as the possibility of motorists trying to bypassitandthecostofinstallation.Overall,thealcoholsensorandmachinelockingsystem is a precious tool in precluding drunk driving, but it is n\'t a cover for responsible driving geste and public education juggernauts about the troubles of drunk driving.

References

[1] LeaAngelicaNavarro,MarkAnthonyDino, EzechielJoson,RommelAnacan,Roberto DelaCruzElectronics EngineeringDepartment, TechnologicalInstitute ofthePhilippines- Manila Manila, Philippines Design of Alcohol Detection System for Car Users thru Iris Recognition Pattern Using Wavelet Transform [2016 7th International Conference on Intelligent Systems, Modelling and Simulation] [2] Cahalan,D.,I.Cisin, andCrossley,AmericanDrinkingPractices:ANationalStudyof Driving Behaviour and Attitudes. 1969, Rutgers University Press: New Brunswick, NJ. [3] MUGILA.G, MUTHULAKSHMI.M, SANTHIYA.K, Prof. DHIVYA.P- SMART HELMETSYSTEMUSINGALCOHOL DETECTIONFORVEHICLE PROTECTION[InternationalJournalofInnovativeResearchinScienceEngineering andTechnology (IJIRTSE) ISSN: 2395-5619, Volume – 2, Issue – 7. July 2016] [4] Dhivya M and Kathiravan S, Dept. of ECE, Kalaignar Karunanidhi Institute of Technology-DriverAuthenticationandAccident-AvoidanceSystemfor Vehicles[Smart Computing Review, vol. 5, no. 1, February 2015]

Copyright

Copyright © 2025 Udhesh Tannirwar, Tejas Kherde, Bhavesh Jamkar, Supriya Lonare, Prof. Neha Akhare. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.