Raspberry pi Based Automatic Engine Locking System for Drunken Drivers
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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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“Alcohol detection for car locking system” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).
“Alcohol detection in translucent package using wavelet filtration by Raman spectroscopy” in 2011 IEEE International Symposium on IT in Medicine and Education.
J. Mlynczak, J. Kubicki, K. Kopczynski, “Stand-off detection of alcohol in car cabins”, J. Appl. Rem. Sens., vol. 8, no. 1, May 2014.
Supraja , Bhanu Sri, Mary Posonia “DRUNK AND DRIVE DETECTION USING IOT” International Journal of Pure and Applied Mathematics, Volume 118 No. 20 2018
T. Venkat Narayana Rao, Karttik Reddy Yellu. “Preventing Drunken Driving Accidents using IOT” International Journal of Advanced Research in Computer Science, Volume 8, No. 3, March – April 2017
Vaishnavi. M , Umadevi.V , Vinothini. M , Bhaskar Rao . Y , Pavithra. S “Intelligent Alcohol Detection System For Car” International Journal of Scientific & Engineering Research, Volume 5, Issue 11, November- 2017.
Supraja , Bhanu Sri, Mary Posonia “DRUNK AND DRIVE DETECTION USING IOT” International Journal of Pure and Applied Mathematics, Volume 118 No. 20 2018.
Vaishnavi. M , Umadevi.V , Vinothini. M , Bhaskar Rao . Y , Pavithra. S “Intelligent Alcohol Detection System For Car” International Journal of Scientific & EngineeringResearch, Volume 5, Issue 11, November-2017.
A. Siri Pallavi, K. Varun Kumar, T. Vamsi Krishna, S. Sandeep, T. S. Jyothi Lakshmi. “Drunk and Drive Detection using Raspberry Pi” International Journal of Trend in Scientific Research and Development (IJTSRD)Volume: 3 Issue: 3 Mar-Apr 2019.