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Anti Sleeping Alarm for Drivers using GSM Module
Subject area: Science,Engineering and Technology · Area of research: Baramati
DOI: 10.64388/IREV9I12-1718876
Abstract
Driver fatigue is a major contributor to road accidents, frequently leading to serious outcomes. This project suggests an anti-sleep alarm system for drivers, incorporating a GSM module to improve road safety. The system monitors the driver's state of awareness and triggers warnings when signs of fatigue are identified. It employs a combination of sensors, such as an eye-blink sensor or head position detector, to continuously assess the driver's state. When the system identifies fatigue, it triggers a sound alarm. Additionally, the integrated GSM module sends an alert message to a preconfigured emergency contact, providing real-time updates about the driver's status and location. This dual-layer alert mechanism ensures timely intervention and reduces the risk of accidents. The system is affordable, simple to install, and appropriate for both commercial and personal vehicles, providing an effective solution to enhance driver safety on the road.
Keywords
Anti sleeping alarm, Arduino, Drowsy driving detection, Microcontroller, Sensor based system, Driving safety, GSM module, Alarm.
References
[1] M. Hemamalini and P. Muhilan (2017). "System using an eye blink sensor to prevent accidents by detecting drowsiness through eye movement." Vol. 1, Issue L11, p. 325.
[2] C. Prabha, R. Sunitha, and R. Anitha (2014). "An automatic accident detection system using GSM and GPS to send real-time alerts." IJAREEIE, Vol. 3, Issue 7, pp. 10723-10727.
[3] Anirban Dasgupta and Anjith George (2013). "A vision-based system to monitor driver attention using visual sensors, aimed at preventing accidents from distracted driving." IEEE Trans., Vol. 14, No. 4.
[4] International Journal of Science and Research (IJSR, ISSN 2319-7064). "Drowsy Driver Sleeping Device that detects fatigue and alerts the driver, enhancing road safety."
[5] Jebraeily, A. & Sharafi, R. (2024). "Driver Drowsiness Detection Based on Convolutional Neural Networks." IEEE Access.
[6] Salem D. et al. (2024). "Drowsiness detection in real-time via convolutional neural networks." JEAS / SpringerOpen.
[7] Venkateswarlu, M. (2024). "CNN-VIT: multi-feature learning based approach for driver drowsiness detection." Proceedings IEEE 14th Symposium on Computer Applications & Industrial Electronics.
[8] Dewi, C., Chen, R.-C., Chang, C.-W. (2022). "Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety." Electronics, MDPI.
How to cite this paper
@article{1718876,
author = {Mauli Balasaheb Gutal, Nishant Prashant Ghodake, Omkar Bhimrao More, Prof. Pratiksha Gawade},
title = {Anti Sleeping Alarm for Drivers using GSM Module},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {12},
pages = {1741-1743},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1718876.pdf},
abstract = {Driver fatigue is a major contributor to road accidents, frequently leading to serious outcomes. This project suggests an anti-sleep alarm system for drivers, incorporating a GSM module to improve road safety. The system monitors the driver's state of awareness and triggers warnings when signs of fatigue are identified. It employs a combination of sensors, such as an eye-blink sensor or head position detector, to continuously assess the driver's state. When the system identifies fatigue, it triggers a sound alarm. Additionally, the integrated GSM module sends an alert message to a preconfigured emergency contact, providing real-time updates about the driver's status and location. This dual-layer alert mechanism ensures timely intervention and reduces the risk of accidents. The system is affordable, simple to install, and appropriate for both commercial and personal vehicles, providing an effective solution to enhance driver safety on the road.},
keywords = {Anti sleeping alarm, Arduino, Drowsy driving detection, Microcontroller, Sensor based system, Driving safety, GSM module, Alarm.},
month = {June},
doi = {https://doi.org/10.64388/IREV9I12-1718876}
}