期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：11
页码：4124-4128
DOI：10.15680/IJIRCCE.2019. 0711006
出版社：S&S Publications
摘要：Drowsiness is a process in which one level of consciousness is reduced due to lacking of sleep or
exhaustion and it may cause the driver fall into sleep quietly. A Drowsy or sleepy driver is unable to determine when
he/she will have an uncontrolled sleep. Fall asleep crushes are very serious in terms of injury. Recent statistics estimate
that annually 1,200 deaths and 76,000 injuries can be caused to exhaustion or drowsiness related crashes. More than
25% of highway traffic accidents are caused as result of driver exhaustion. Reduce the risk of an accident by warning
the driver of his/her drowsiness. This project is mainly based on four components 1) Face and Eye detection: Performs
scale invariant detection using Haar Cascade Classifier perform through a webcam. 2) Eye feature extraction: Eye
features are extracted using Hough Circle and 3) Extract single eye 4) Edge detection and perform drowsiness detection
on it. In the proposed method, following the face detection step, the facial components those are more important and
considered as the most effective for drowsiness, are extracted and tracked in video sequence frames. The system has
been tested and implemented in a real environment. The contribution work is when drowsiness detected, after it will
give alarm warning signal to the driver.
关键词：Drowsiness; Haar Cascade Classifier; Hough Circle; Image Processing; Real Time Drowsiness Detection;
OpenCV;
