• Advait Krishnakumar
• Moosa Ansari
• Shubham Chiplunkar
• Sunil Khachane

In this paper we propose a system which can detect fatigue of a driver and can give an audio/visual alert when the driver’s fatigue is detected. The drivers who travel long distances without taking any breaks during the journey have a high risk of becoming drowsy, and in most cases they fail to recognize this early enough. According to studies it was noted that one-fourth of the motor accidents are related to sleepy drivers that were in need for rest. Our system will monitor the driver’s eyes and mouth continuously using a camera and will detect the symptoms of fatigue before the person falls asleep. So in this proposed system, symptoms of drowsiness will be detected and the driver will be alerted by a warning in the form of an audio-visual alarm. The alarm would continue to beep until the driver awakes, and once the driver is awake the alarm will stop. This process continues.

Drowsiness detection, Haar cascade, Machine Learning

"DRIVER DROWSINESS DETECTION USING FACIAL FEATURE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.194-197, October-2021, Available :http://www.jetir.org/papers/JETIRFD06028.pdf

"DRIVER DROWSINESS DETECTION USING FACIAL FEATURE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. pp194-197, October-2021, Available at : http://www.jetir.org/papers/JETIRFD06028.pdf