Open AccessDriver Drowsiness Detection System Based on Eyes u sing Canny Edge Detection Algorithm
Author(s) -
Kusuma Kumari B.M*,
Ramakanth Kumar P,
B L Mukundappa
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2455.039520
Subject(s) - canny edge detector , hough transform , haar like features , computer vision , artificial intelligence , computer science , edge detection , enhanced data rates for gsm evolution , viola–jones object detection framework , alarm , iris (biosensor) , face (sociological concept) , haar , face detection , pattern recognition (psychology) , image (mathematics) , facial recognition system , engineering , image processing , biometrics , aerospace engineering , wavelet , social science , sociology
Driver drowsiness is the main issue in an ample of vehicle accidents. Annually hundreds of people lose their life or get seriously injured because of sleepiness of the drivers while driving. In this paper, we are mainly concentrated on eyes and Viola Jones algorithm has used to find the Face detection. The eyes are found using the Haar-like features. If the eyes are open then the Iris detected using Canny edge detection with circles drawn on the Iris using Circular Hough Transform algorithm if the driver is alert then two circles appear around the eyes otherwise warning message is displayed to the driver with an alarm signal.