Title: Drowsy Driver Detection Based on Eye by Using Digital Image Processing


Volume 10 Issue 2 Year 2020

Authors:

Sheena Chopra

ijskit@skit.ac.in
Department of Computer Science & Engineering,Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017 (INDIA),

SR Dogiwal

dogiwal@gmail.com
Department of Computer Science & Engineering,Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017 (INDIA)

Pages: 34-40


Abstract:

This paper focuses on driver drowsiness detection based on eye by using Digital Image processing technique. The proposed system is a non intrusive driver drowsiness monitoring system that is able to detect drowsiness of driver in wearing spectacles and dim light level. The proposed system is implemented or tested by using webcam to capture image then face and eye detection techniques used. The intensity of eye blinking area is checked to determine whether eye is close or open. An alarm is made on eye close condition. The samples are collected from left side, right side and with spectacles. The accuracy of the system is 98% and time taken to perform a sample is 30-50 seconds. Which is quite satisfactory.

Keywords:
Digital Image Processing, MATLAB, Fae Recognition