• Miss.Tagad Sonali N.
• Miss.Randhave Manisha R.
• Mr.Khan Mohsin M
• Mr.Hiranwale Sachin

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.

Drowsiness, Haar Cascade Classifier, Hough Circle, Image Processing, Real Time Drowsiness Detection, OpenCV

"Implementation Paper on Vehicle Drowsiness Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1907-1911, April-2020, Available :http://www.jetir.org/papers/JETIR2004462.pdf

"Implementation Paper on Vehicle Drowsiness Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1907-1911, April-2020, Available at : http://www.jetir.org/papers/JETIR2004462.pdf