Open AccessDetection of Distracted Car Drivers using Convolutional Neural Network
Author(s) -
Ms. Sangeetha*,
R. Ambrish,
Mukund Madhav,
J. Karthick
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9443.038620
Subject(s) - convolutional neural network , distraction , distracted driving , computer science , recurrent neural network , artificial neural network , panic , real time computing , artificial intelligence , simulation , computer security , anxiety , psychology , neuroscience , psychiatry
According to survey report on the internet, the road accident cases are increasing exponentially. Most of the accident cases are due to distraction of drivers, over speed, panic attacks of drivers. We are proposing a system that will take control of the vehicle system if the driver is distracted. The existing system uses a sensor based indication or Recurrent Neural Network (RNN) installed semi self driving cars. The proposed system uses Convolutional Neural Networks to understand the behaviour of the driver and the environment. Naturalistic data collection of ten drivers is being collected and are treated as a qualifying dataset.