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Title: :  Real-time driver's drowsiness detection using Ml
PaperId: :  25830
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 1 2025
DUI:    16.0415/IJARIIE-25830
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kiran parasram shelke Trinity college of engineering and research pune
Monika STrinity college of engineering and research pune
Atharv sakhare Trinity college of engineering and research pune
Dayanand ArgadeTrinity college of engineering and research pune

Abstract

Information Technology and ML
Hybrid approaches, Image-based methods ,Vehicle-based systems
Significant advancements in computing technologies and artificial intelligence over the past decade have greatly improved driver monitoring systems. Many experimental studies have gathered actual driver drowsiness data, employing various AI algorithms and combinations of features to enhance system performance in real-time. This paper provides a comprehensive review of driver drowsiness detection systems developed in the last ten years. It examines recent methods that use different indicators to monitor and detect drowsiness, categorizing each system based on the type of data utilized. Detailed descriptions of the features, classification algorithms, and datasets used by these systems are also provided. Additionally, the paper evaluates these systems in terms of classification accuracy, sensitivity, and precision. Challenges in the field of driver drowsiness detection are discussed, along with an analysis of the practicality and reliability of each system type. Lastly, future trends in this area are outlined.

Citations

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IJARIIE Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade. "Real-time driver's drowsiness detection using Ml" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 1 2025 Page 1501-1505
MLA Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade. "Real-time driver's drowsiness detection using Ml." International Journal Of Advance Research And Innovative Ideas In Education 11.1(2025) : 1501-1505.
APA Kiran parasram shelke , Monika S, Atharv sakhare , & Dayanand Argade. (2025). Real-time driver's drowsiness detection using Ml. International Journal Of Advance Research And Innovative Ideas In Education, 11(1), 1501-1505.
Chicago Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade. "Real-time driver's drowsiness detection using Ml." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 1 (2025) : 1501-1505.
Oxford Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade. 'Real-time driver's drowsiness detection using Ml', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, 2025, p. 1501-1505. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Real_time_driver_s_drowsiness_detection_using_Ml_ijariie25830.pdf (Accessed : ).
Harvard Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade. (2025) 'Real-time driver's drowsiness detection using Ml', International Journal Of Advance Research And Innovative Ideas In Education, 11(1), pp. 1501-1505IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Real_time_driver_s_drowsiness_detection_using_Ml_ijariie25830.pdf (Accessed : )
IEEE Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade, "Real-time driver's drowsiness detection using Ml," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, pp. 1501-1505, Jan-Feb 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Real_time_driver_s_drowsiness_detection_using_Ml_ijariie25830.pdf [Accessed : ].
Turabian Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade. "Real-time driver's drowsiness detection using Ml." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 1 ().
Vancouver Kiran parasram shelke , Monika S, Atharv sakhare , and Dayanand Argade. Real-time driver's drowsiness detection using Ml. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(1) : 1501-1505. Available from: http://ijariie.com/AdminUploadPdf/Real_time_driver_s_drowsiness_detection_using_Ml_ijariie25830.pdf
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