This paper is published in Volume-4, Issue-3, 2018
Area
Machine Learning
Author
Ashu Yadav
Co-authors
Naveen Sharma, Yadvendra Yadav, Jasaram Choudhary, Praveen Hore
Org/Univ
Army Institute of Technology, Pune, Maharashtra, India
Pub. Date
15 May, 2018
Paper ID
V4I3-1387
Publisher
Keywords
Machine Learning, Convolutional Neural Network, Classification, Hyper parameters.

Citationsacebook

IEEE
Ashu Yadav, Naveen Sharma, Yadvendra Yadav, Jasaram Choudhary, Praveen Hore . Machine learning based classifier model for autonomous distracted driver detection and prevention, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ashu Yadav, Naveen Sharma, Yadvendra Yadav, Jasaram Choudhary, Praveen Hore (2018). Machine learning based classifier model for autonomous distracted driver detection and prevention. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Ashu Yadav, Naveen Sharma, Yadvendra Yadav, Jasaram Choudhary, Praveen Hore . "Machine learning based classifier model for autonomous distracted driver detection and prevention." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Recent researches and surveys have provided us with the evidence that distracted driving is a major cause of vehicle crashes all around the world. In-vehicle information systems (IVIS) have raised driver safety concern and thus, detecting distracted driver is of paramount importance. The project (or paper) shows a method of real-time distraction detection and initiates safety measures. In the realization of this project we have used Web-Cam, Raspberry Pi (a low cost, small size computing device), along with concepts of deep learning and convolutional neural networks. We classify drivers into multiple categories of distraction, some of them are texting, drinking, operating IVIS etc. Web-Cam feeds the classifier with real-time images of a driver of a particular vehicle. The system also constitutes a buzzer alarm which rings once the distraction is detected.
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