This paper is published in Volume-5, Issue-2, 2019
Area
Electronics and Communication Engineering
Author
Vikas Chauhan, Sanjay Patel, Prudhvi Chowdary, Dharshen R. S., Sai Siva Reddy, A. Mohammed Arif
Org/Univ
SRM Institute of Science and Technology Chennai, Tamil Nadu, India
Pub. Date
02 April, 2019
Paper ID
V5I2-1696
Publisher
Keywords
Drowsiness detection, Advanced driver assistance system, Driving-system design, Eyes Detection, Face Detection

Citationsacebook

IEEE
Vikas Chauhan, Sanjay Patel, Prudhvi Chowdary, Dharshen R. S., Sai Siva Reddy, A. Mohammed Arif. Drowsiness detection with driver assistance for accident avoidance based systems, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vikas Chauhan, Sanjay Patel, Prudhvi Chowdary, Dharshen R. S., Sai Siva Reddy, A. Mohammed Arif (2019). Drowsiness detection with driver assistance for accident avoidance based systems. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Vikas Chauhan, Sanjay Patel, Prudhvi Chowdary, Dharshen R. S., Sai Siva Reddy, A. Mohammed Arif. "Drowsiness detection with driver assistance for accident avoidance based systems." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

This concept proposes a new approach to automotive safety and security with automatic car system based on autonomous region. We are proposing three concepts that are different but nearly related to tired driver detection system and an external traffic detection system based on intrusion. In recent times, automotive crashes related to fatigue have actually magnified. We have proposed a driver alert system to minimize these issues by observing the driver's eyes and sensing using IR sensor as well as a driver based local environment recognition using ultrasonic sensor.