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Original Article
Smart Driver Drowsiness Detection and Automatic Vehicle Safety System
Dr. K. V. Ramana Rao1
Boddeti Mahitha2
Nagavarapu Sai Keerthana3
Bolem Pavani4
Ungarada Bhavani Prasad5
Vasupalli Raju6
1 Associate Professor, Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Andhra University, Andhra Pradesh, India. 2 3 4 5 6 Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Andhra University, Andhra Pradesh, India.
Published Online: May-June 2026
Pages: 194-198
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20260603029
References
1. S. Kaplan, M. A. Guvensan, A. G. Yavuz, and Y. Karalurt, “Driver Behavior Analysis for Safe Driving: A Survey,” IEEE Transactions on
Intelligent Transportation Systems, vol. 16, no. 6, pp. 3017–3032, Dec. 2015.
2. A. Dasgupta, D. Rahman, and M. Rouf, “A Smart System for Driver Drowsiness Detection Using Eye Blink Monitoring,” International
Journal of Advanced Computer Science and Applications, vol. 10, no. 5, pp. 450–456, 2019.
3. Arduino, “Arduino Uno Rev3 Technical Specifications,” Arduino Documentation. Available: https://www.arduino.cc
4. SIMCom Wireless Solutions, “SIM900A GSM/GPRS Module User Manual,” SIMCom Ltd., 2021.
5. u-blox AG, “NEO-6M GPS Module Data Sheet,” u-blox GPS Receiver Documentation, 2020.
6. A. Amditis, M. Bimpas, G. Thomaidis, M. Tsogas, M. Netto, and S. Mammar, “A Situation-Adaptive Lane Keeping Support System:
Overview of the SAFELANE Approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 3, pp. 617–629, Sept.
2010.
7. R. Saini and M. Saini, “Accident Detection and Vehicle Tracking System Using GPS and GSM,” International Journal of Engineering
Research and Technology, vol. 6, no. 4, pp. 112–116, 2017.
8. V. S. Murthy and K. N. Rao, “Embedded Systems Design Using Arduino for Vehicle Safety Applications,” International Journal of
Innovative Technology and Exploring Engineering, vol. 8, no. 8, pp. 224–229, 2019.
9. M. M. Islam, M. Hossain, and M. Rahman, “Real-Time Driver Fatigue Detection Based on Eye Blink Monitoring,” International Journal
of Computer Applications, vol. 178, no. 7, pp. 15–21, 2019.
10. P. Viola and M. Jones, “Rapid Object Detection Using a Boosted Cascade of Simple Features,” Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition, pp. 511–518, 2001.
Intelligent Transportation Systems, vol. 16, no. 6, pp. 3017–3032, Dec. 2015.
2. A. Dasgupta, D. Rahman, and M. Rouf, “A Smart System for Driver Drowsiness Detection Using Eye Blink Monitoring,” International
Journal of Advanced Computer Science and Applications, vol. 10, no. 5, pp. 450–456, 2019.
3. Arduino, “Arduino Uno Rev3 Technical Specifications,” Arduino Documentation. Available: https://www.arduino.cc
4. SIMCom Wireless Solutions, “SIM900A GSM/GPRS Module User Manual,” SIMCom Ltd., 2021.
5. u-blox AG, “NEO-6M GPS Module Data Sheet,” u-blox GPS Receiver Documentation, 2020.
6. A. Amditis, M. Bimpas, G. Thomaidis, M. Tsogas, M. Netto, and S. Mammar, “A Situation-Adaptive Lane Keeping Support System:
Overview of the SAFELANE Approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 3, pp. 617–629, Sept.
2010.
7. R. Saini and M. Saini, “Accident Detection and Vehicle Tracking System Using GPS and GSM,” International Journal of Engineering
Research and Technology, vol. 6, no. 4, pp. 112–116, 2017.
8. V. S. Murthy and K. N. Rao, “Embedded Systems Design Using Arduino for Vehicle Safety Applications,” International Journal of
Innovative Technology and Exploring Engineering, vol. 8, no. 8, pp. 224–229, 2019.
9. M. M. Islam, M. Hossain, and M. Rahman, “Real-Time Driver Fatigue Detection Based on Eye Blink Monitoring,” International Journal
of Computer Applications, vol. 178, no. 7, pp. 15–21, 2019.
10. P. Viola and M. Jones, “Rapid Object Detection Using a Boosted Cascade of Simple Features,” Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition, pp. 511–518, 2001.
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