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Title: :  Driver Drowsiness Detection using Deep Learning
PaperId: :  27364
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27364
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Thejas Gowda R VP.E.S college of engineering, Mandya

Abstract

Master of Computer Application
Computer vision, eye tracking, eye blink, yawning, head pose estimation, drowsiness, fatigue, ear(eye aspect ratio), facial landmark detection.
Drowsiness while driving is a major factor contributing to road accidents, especially during long-haul or night-time travel. In recent years, technological advancements in artificial intelligence and computer vision have enabled the development of proactive driver monitoring systems. This project presents a real-time, deep learning-based Driver Drowsiness Detection System using Convolutional Neural Networks (CNN), integrated with a Flask web application. The system is designed to monitor and analyze live video input from a webcam to detect facial features such as eyes and mouth, using facial landmark detection techniques.

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IJARIIE Thejas Gowda R V. "Driver Drowsiness Detection using Deep Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 3652-3659
MLA Thejas Gowda R V. "Driver Drowsiness Detection using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 3652-3659.
APA Thejas Gowda R V. (2025). Driver Drowsiness Detection using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 3652-3659.
Chicago Thejas Gowda R V. "Driver Drowsiness Detection using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 3652-3659.
Oxford Thejas Gowda R V. 'Driver Drowsiness Detection using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 3652-3659. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Deep_Learning_ijariie27364.pdf (Accessed : ).
Harvard Thejas Gowda R V. (2025) 'Driver Drowsiness Detection using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 3652-3659IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Deep_Learning_ijariie27364.pdf (Accessed : )
IEEE Thejas Gowda R V, "Driver Drowsiness Detection using Deep Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 3652-3659, Jul-Aug 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Deep_Learning_ijariie27364.pdf [Accessed : ].
Turabian Thejas Gowda R V. "Driver Drowsiness Detection using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver Thejas Gowda R V. Driver Drowsiness Detection using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 3652-3659. Available from: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Deep_Learning_ijariie27364.pdf
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