Ms. Deeksha Yadav

Ms. Shivangi Pandey

Ms. Ankita Kumari

Ms. Smriti Rao

Ms. Deepti Ojha

Umesh Chandra Gupta

Paritosh Kumar

Dr. Ram Gopal

Abstract

Road accidents occur very often, but are the least desirable things that can happen to road users. Driver drowsiness and malaise are reportedly the most important causes of these accidents. Therefore, in order to prevent such accidents, it is necessary to take some measure. One such measure is driver drowsiness detection software that helps prevent traffic accidents. The software is based on a real-time system that continuously captures images, measures eye condition according to specified algorithms, and warns if necessary. Several OpenCv (Computational Vision) libraries, including Haar cascade, are used to implement this system. In addition, to ensure real-time calculations, Haar cascade samples are used to distinguish between blinking and drowsiness and malaise detection.

Keywords- Face detection, Eye Detection, Real-time system, Haar cascade, OpenCV, Drowsy driver detection, Image Processing, Image Acquisition