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Title: :  Driver Drowsiness and Distraction Detecting System
PaperId: :  15565
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 6 2021
DUI:    16.0415/IJARIIE-15565
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ganesh Aravindh V PDepartment of Computer Science, CHRIST (Deemed to be University)
Deepa v JoseDepartment of Computer Science, CHRIST (Deemed to be University)

Abstract

Computer Engineering
Drowsiness detection, prediction, CNN classifier, deep learning
Drowsiness can be depicted as a characteristic state where the body is encountering significant change from an attentive state to a napping state. At this stage, a driver can lose attention and will not be able to do activities, for instance, avoiding head-on accidents or slowing down fortunately. There are obvious signs that can suggest whether a driver is tired or not, like, frequent yawning, and inability to keep eyes open etc. Face composition also changes because of the blood circulation system. This research work aims to create a nonintrusive framework that can separate the facial landmarks spots of the driver using the Region of Interest and learn the eye perspective extent and sort the eyes as closed or open.

Citations

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IJARIIE Ganesh Aravindh V P, and Deepa v Jose. "Driver Drowsiness and Distraction Detecting System" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 6 2021 Page 193-199
MLA Ganesh Aravindh V P, and Deepa v Jose. "Driver Drowsiness and Distraction Detecting System." International Journal Of Advance Research And Innovative Ideas In Education 7.6(2021) : 193-199.
APA Ganesh Aravindh V P, & Deepa v Jose. (2021). Driver Drowsiness and Distraction Detecting System. International Journal Of Advance Research And Innovative Ideas In Education, 7(6), 193-199.
Chicago Ganesh Aravindh V P, and Deepa v Jose. "Driver Drowsiness and Distraction Detecting System." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 6 (2021) : 193-199.
Oxford Ganesh Aravindh V P, and Deepa v Jose. 'Driver Drowsiness and Distraction Detecting System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 6, 2021, p. 193-199. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_and_Distraction_Detecting_System_ijariie15565.pdf (Accessed : ).
Harvard Ganesh Aravindh V P, and Deepa v Jose. (2021) 'Driver Drowsiness and Distraction Detecting System', International Journal Of Advance Research And Innovative Ideas In Education, 7(6), pp. 193-199IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_and_Distraction_Detecting_System_ijariie15565.pdf (Accessed : )
IEEE Ganesh Aravindh V P, and Deepa v Jose, "Driver Drowsiness and Distraction Detecting System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 6, pp. 193-199, Nov-Dec 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_and_Distraction_Detecting_System_ijariie15565.pdf [Accessed : ].
Turabian Ganesh Aravindh V P, and Deepa v Jose. "Driver Drowsiness and Distraction Detecting System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 6 ().
Vancouver Ganesh Aravindh V P, and Deepa v Jose. Driver Drowsiness and Distraction Detecting System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(6) : 193-199. Available from: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_and_Distraction_Detecting_System_ijariie15565.pdf
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