This paper is published in Volume-4, Issue-2, 2018
Area
Automation
Author
Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre
Org/Univ
Padmabhushan Vasantdada Patil College of Engineering, Mumbai, Maharashtra, India
Keywords
Eyeblink, IR sensor, Ultrasonic sensor, Drowsiness.
Citations
IEEE
Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre. Accident avoidance using autonomous emergency breaking system and drowsiness detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre (2018). Accident avoidance using autonomous emergency breaking system and drowsiness detection. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre. "Accident avoidance using autonomous emergency breaking system and drowsiness detection." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre. Accident avoidance using autonomous emergency breaking system and drowsiness detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre (2018). Accident avoidance using autonomous emergency breaking system and drowsiness detection. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre. "Accident avoidance using autonomous emergency breaking system and drowsiness detection." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Abstract
This an approach for detecting eye blink of a person and autonomous breaking system for accident avoidance. Our proposal consists of two stages, the first stage is to detect eye blink of a driver driving a car. The next stage is to avoid the accident by giving an indication that some object is coming from either side. We are using IR sensors, Arduino and ultrasonic sensors for eye blink and accident avoidance respectively. Driver fatigue is one of the major causes of accidents in the world. Detecting the drowsiness of the driver is one of the surest ways of measuring driver fatigue. In this project, we aim to develop a prototype drowsiness detection.