Raspberry pi Based Automatic Engine Locking System for Drunken Drivers

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Published: Jun 30, 2023
DOI: https://doi.org/10.35940/ijitee.G9607.0612723
Keywords:
Drunken Driving, Engine Locking System, Raspberry Pi, Alcohol Sensors, Breathalyzer, Microcontroller

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Rutuja Warbhe
Department of Electrical Engineering, D. Y. Patil Institute of Technology, Pimpri, Pune (Maharashtra), India
https://orcid.org/0009-0004-6178-1944
Akshay Kuchekar
Department of Electrical Engineering, D. Y. Patil Institute of Technology, Pimpri, Pune (Maharashtra), India
https://orcid.org/0009-0009-8438-7727
Prassanjit Manjramkar
Department of Electrical Engineering, D. Y. Patil Institute of Technology, Pimpri, Pune (Maharashtra), India
https://orcid.org/0009-0005-9223-1651
Rushikesh Banaitkar
Department of Electrical Engineering, D. Y. Patil Institute of Technology, Pimpri, Pune (Maharashtra), India
https://orcid.org/0009-0000-4929-3180
Vinay Rao
Department of Electrical Engineering, D. Y. Patil Institute of Technology, Pimpri, Pune (Maharashtra), India
https://orcid.org/0009-0004-7488-8775

Abstract

The prevalence of drunken driving incidents has led to numerous accidents and fatalities worldwide. To address this critical issue, this research paper presents a Raspberry Pi-based automatic engine locking system designed to prevent intoxicated individuals from operating motor vehicles. The proposed system integrates various sensors, including alcohol sensors, ignition sensors, and a Raspberry Pi microcontroller, to detect alcohol levels in the driver’s breath and disable the engine if the alcohol concentration exceeds the permissible limit. This paper discusses the system architecture, sensor integration, software implementation, and experimental results, highlighting the effectiveness and potential of the Raspberry Pi- based engine locking system in reducing drunken driving incidents.

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How to Cite
[1]
Rutuja Warbhe, Akshay Kuchekar, Prassanjit Manjramkar, Rushikesh Banaitkar, and Vinay Rao , Trans., “Raspberry pi Based Automatic Engine Locking System for Drunken Drivers”, IJITEE, vol. 12, no. 7, pp. 51–54, Jun. 2023, doi: 10.35940/ijitee.G9607.0612723.
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Vol. 12 No. 7 (2023): Volume-12 Issue-7, June 2023
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Articles
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CC-BY-NC-ND 4.0

How to Cite

[1]
Rutuja Warbhe, Akshay Kuchekar, Prassanjit Manjramkar, Rushikesh Banaitkar, and Vinay Rao , Trans., “Raspberry pi Based Automatic Engine Locking System for Drunken Drivers”, IJITEE, vol. 12, no. 7, pp. 51–54, Jun. 2023, doi: 10.35940/ijitee.G9607.0612723.
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