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All Journal Bulletin of Electrical Engineering and Informatics
B. Vijayalaxmi
Vignan Institute of Technology & Science
Electrical & Electronics Engineering

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Implementation of face and eye detection on DM6437 board using simulink model B. Vijayalaxmi; Kaushik Sekaran; N. Neelima; P. Chandana; Maytham N. Meqdad; Seifedine Kadry
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.925 KB) | DOI: 10.11591/eei.v9i2.1703

Abstract

Driver Assistance system is significant in drriver drowsiness to avoid on road accidents.  The aim of this research work is to detect the position of driver’s eye for fatigue estimation. It is not unusual to see vehicles moving around even during the nights. In such circumstances there will be very high probability that a driver gets drowsy which may lead to fatal accidents. Providing a solution to this problem has become a motivating factor for this research, which aims at detecting driver fatigue. This research concentrates on locating the eye region failing which a warning signal is generated so as to alert the driver. In this paper, an efficient algorithm is proposed for detecting the location of an eye, which forms an invaluable insight for driver fatigue detection after the face detection stage. After detecting the eyes, eye tracking for input videos has to be achieved so that the blink rate of eyes can be determined.
Co-Authors Kaushik Sekaran Maytham N. Meqdad N. Neelima P. Chandana Seifedine Kadry