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Title: :  Driver Drowsiness Detection System By Measuring EAR and MAR
PaperId: :  26920
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26920
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Zoya Fatema KhanRajiv Gandhi College Of Engineering Research & Technology
Alfiya Sheikh Rajiv Gandhi College Of Engineering Research & Technology
Vanshika Makode Rajiv Gandhi College Of Engineering Research & Technology
Bhavika Makode Rajiv Gandhi College Of Engineering Research & Technology
Dr Vanita BuradkarRajiv Gandhi College Of Engineering Research & Technology

Abstract

Computer Engineering
Driver Drowsiness Detection, Python, OpenCV, Dlib, Computer Vision, Eye Aspect Ratio, Real-Time Alert System, Road Safety, Facial Landmark Detection, Pygame Alarm
- Driver drowsiness is one of the major causes of road accidents, leading to severe injuries and fatalities worldwide. In this paper, we propose a real-time Driver Drowsiness Detection System using Python, OpenCV, and Dlib to monitor driver alertness and provide timely alerts to prevent accidents. The system uses a webcam to continuously capture facial images and applies computer vision techniques to detect facial landmarks, particularly focusing on the eyes. By calculating the Eye Aspect Ratio (EAR) over a sequence of frames, the system determines if the driver’s eyes remain closed for an extended period, indicating drowsiness. Once drowsiness is detected, an alarm sound is played using the Pygame library to immediately alert the driver. The implementation aims to improve road safety by providing a low-cost, easily deployable solution using widely available hardware and open-source tools. This system can be integrated into various vehicles, offering an additional layer of safety for long-distance drivers, truck drivers, and night-time travellers.

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IJARIIE Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar. "Driver Drowsiness Detection System By Measuring EAR and MAR" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 3708-3713
MLA Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar. "Driver Drowsiness Detection System By Measuring EAR and MAR." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 3708-3713.
APA Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , & Dr Vanita Buradkar. (2025). Driver Drowsiness Detection System By Measuring EAR and MAR. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 3708-3713.
Chicago Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar. "Driver Drowsiness Detection System By Measuring EAR and MAR." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 3708-3713.
Oxford Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar. 'Driver Drowsiness Detection System By Measuring EAR and MAR', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 3708-3713. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_System_By_Measuring_EAR_and_MAR_ijariie26920.pdf (Accessed : ).
Harvard Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar. (2025) 'Driver Drowsiness Detection System By Measuring EAR and MAR', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 3708-3713IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_System_By_Measuring_EAR_and_MAR_ijariie26920.pdf (Accessed : )
IEEE Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar, "Driver Drowsiness Detection System By Measuring EAR and MAR," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 3708-3713, May-Jun 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_System_By_Measuring_EAR_and_MAR_ijariie26920.pdf [Accessed : ].
Turabian Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar. "Driver Drowsiness Detection System By Measuring EAR and MAR." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Zoya Fatema Khan, Alfiya Sheikh , Vanshika Makode , Bhavika Makode , and Dr Vanita Buradkar. Driver Drowsiness Detection System By Measuring EAR and MAR. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 3708-3713. Available from: http://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_System_By_Measuring_EAR_and_MAR_ijariie26920.pdf
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