Driver Drowsiness Detection system using opencv and keras (KEY IJP************044)

• Priyadharshini R,Rakshana Fathima N,Ranjil Kumaar U.p

Abstract

Finding sleepy drivers is crucial to maintaining traffic safety. Machine learning techniques have been used in a number of recent proposals to identify driver drowsiness. In this research, we provide a technique for OpenCV and Keras-based driver drowsiness detection.The suggested technique employs a camera to record a live video feed of the driver's face. The required features, such as eye and mouth movements, are then extracted from the video frames using OpenCV preprocessing. Then, a deep learning model based on the Keras framework is trained using the extracted features. A sizable dataset of films documenting driver attentiveness and tiredness is used to train the model.The model is used to forecast the driver's level of tiredness using the retrieved features after it has been trained.