Abstract Paper

Journal of Computing and Intelligent Systems - JCIS

Title	: Driver distraction and drowsiness detection system using CNN Techniques
Author(s)	: Poovizhi M, Pooja E
Article Information	: Volume 4 - Issue 1 (May - 2020) , 128 - 131
Affiliation(s)	: Asst. Professor in Computer Science, PG Department of Computer Science, Sacred Heart College (Autonomous),Tiurpattur TamilNadu,605601, India
	: Master of Computer Science, PG Department of Computer Science, Sacred Heart College (Autonomous),Tiurpattur TamilNadu,605601, India

Abstract :

The Driver's status is urgent because that one of the fundamental explanations behind vehicle mishaps is identified with driver's laziness. Languor locator on a vehicle or some other four-wheelers can decrease various mishaps. Mishaps happen on account of a solitary snapshot of carelessness, along these lines driver observing framework that works continuously is vital. Tiredness recognition is a wellbeing innovation that can forestall mishaps that are brought about for drivers who nodded off while driving. The target of this moderate Python adventure to develop a tiredness distinguishing proof structure that will perceive that a person's eye is shut for two or three minutes. This framework will alarm the driver when tiredness is recognized.

Keywords	: Driver Monitoring System, Drowsiness Detection, Deep Learning, Conventional Neural Network, TensorFlow
Document Type	: Research Paper
DOI	: Volume 4 - Issue 1 (May - 2020)
Publication date	: July 09, 2020