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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 12, 2023.
Abstract: In response to ongoing concerns about road accidents linked to overspeeding and drunk driving, this study introduces a groundbreaking solution: The Integrated Driver Safety system. It is a comprehensive vehicle safety system designed for real-time prevention. Crafted with cutting-edge components including ESP32, MQ3 sensor, relay, and GPS, this system operates on a dual framework. It swiftly detects instances of over speeding, triggering immediate email alerts, while concurrently inhibiting engine ignition upon detecting alcohol consumption, actively thwarting drunk driving attempts. This proactive approach not only provides real-time notifications but physically prevents intoxicated driving, drastically reducing accidents caused by these factors. With an impressive overspeed detection accuracy surpassing 95% and an efficient alcohol monitoring system, this technology cultivates responsible driving habits. Its potential widespread adoption foretells a future where road safety reaches unprecedented levels, underscoring the industry's dedication to innovation and safer driving experiences. Through this research, a compelling case emerges for the global embrace of these innovative preventive measures, illuminating a path toward significantly enhanced road safety standards.
Jamil Abedalrahim Jamil Alsayaydeh, Mohd Faizal bin Yusof, Khivisha S. Mohan, A K M Zakir Hossain and Serhii Leoshchenko, “Advancing Road Safety: Precision Driver Detection System with Integrated Overspeed, Alcohol Detection, and Tracking Capabilities” International Journal of Advanced Computer Science and Applications(IJACSA), 14(12), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141253
@article{Alsayaydeh2023,
title = {Advancing Road Safety: Precision Driver Detection System with Integrated Overspeed, Alcohol Detection, and Tracking Capabilities},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141253},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141253},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {12},
author = {Jamil Abedalrahim Jamil Alsayaydeh and Mohd Faizal bin Yusof and Khivisha S. Mohan and A K M Zakir Hossain and Serhii Leoshchenko}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.