Smart Vehicle with Alcohol Detection System

Authors

  • Mrs. Shaheen Begum Associate Professor, Department of Information Technology, Deccan College of Engineering and Technology, Hyderabad, India Author
  • Sariya Fatima, Obaida Riyaz, Tuba Anwar UG Students, Department of Information Technology, Deccan College of Engineering and Technology, Hyderabad, India Author

Keywords:

Smart Vehicle, Deep Learning, Alcohol detection, Drunk driving, Real-time Violation Detection, MQ3 sensor, IOT based communication, microcontrollers, Deep SORT, Road Safety, Computer Vision, Urban Planning, Vehicle Classification, Direction Analysis.

Abstract

The proposed project aims to design a smart vehicle equipped with an alcohol detection system that ensures safe driving and prevents road accidents caused by drunk driving. The system uses a breathalyzer sensor to analyze the driver’s breath and determine the presence of alcohol. If the alcohol level exceeds the legal limit, the vehicle’s ignition system remains locked, preventing the car from starting. Additionally, the system can send an alert to authorities or a registered contact through IoT-based communication. This project integrates IoT, sensors, microcontrollers, and automation to create a safer transportation environment and reduce alcohol-related road fatalities in India.

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Published

2026-04-25

Issue

Vol. 16 No. 2s (2026): April

Section

Articles

License

Copyright (c) 2026 Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Smart Vehicle with Alcohol Detection System. (2026). International Journal of Engineering and Science Research, 16(2s), 22-26. https://ijesr.org/index.php/ijesr/article/view/1682

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