Open AccessDRIVER DROWSINESS DETECTION USING PYTHON
Author(s) -
Bhumika Rajput
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v06i04.037
Subject(s) - computer science , alarm , face detection , computer vision , artificial intelligence , python (programming language) , face (sociological concept) , facial recognition system , pattern recognition (psychology) , engineering , social science , sociology , aerospace engineering , operating system
When the driver does not get proper sleep, restor fell sleepy, they sleep while driving and it could be fatalto driver and even the passengers. This issue should have asolution in form of a system in which they can identifydrowsiness on the face of a driver and then could ring analarm so that driver can take necessary actions after that.The detection is done mainly in three steps, in beginningthe system should identify the face and then facial featuresand then followed by eye tracking. In this we usecorrelation coefficient template. The extracted eye imageand template is then matched so that the system can knowif the driver is sleeping or not. The blinking is thenrecognized and if it fall within a certain range, the alarmwill go off.