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Paper Title : Drowsy Driver Monitoring System

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7206642

Authors: Dr.Subba Reddy Borra, K.Samhitha Rao, K.Jeevitha, Meeni Taruni

         


Abstract
One of the leading causes of traffic accidents and fatalities is drowsiness while driving. Driver drowsiness detection and indication is therefore an active research area. Most of the conventional methods are either vehicle based, behavioral based or physiological-based. There are few ways to get in the way and distract the driver, and some require expensive sensors and data processing. Therefore, in this study, a cost-effective real-time driver drowsiness detection system with acceptable accuracy is developed. In the development system, a webcam records the video and uses image processing techniques to detect the driver’s face in each frame. Facial marks of the detected faces are displayed and the eye aspect ratio, mouth opening ration, and nose length ratio are calculated, and depending on those values, drowsiness is determined based on the developed adaptive threshold. Machine learning algorithms are also implemented offline.

Reference
1. Codesnippetsforanyerrorshttp://stackoverflow.com/ 2. AndroidDevelopmentGuidehttps://www.udemy.com/android 3. XmlandLayout Guidehttps://www.androidhive.com/ 4. ConnectingtoFirebaseDocs https://firebase.google.com 5. SoftwareTestinghttp://en.wikipedia.org/wiki/Software_testing 6. ManualTestinghttp://en.wikipedia.org/wiki/Manual_testing 7. https://towardsdatascience.com/vehicle-detection-using-support-vector-machine-svm-19e073b61d16
Keywords
— HTML, XML, IDE, PHP, RDBMS, GUI, HTTP, API, E-R, UML, OOAD