Python project on driver drowsiness detection system. Uses OpenCV and keras to detect drowsiness by analyzing eyes of user. Custom model has been trained on dataset of open and closed eyes of humans.

A tool designed to detect driver drowsiness through face recognition and alert the driver with voice commands. This project leverages Python and machine learning concepts to ensure driver safety by ...

Abstract: Detection of drowsiness in the case of drivers who drive transport vehicles for long distances at night is important for safety purposes. Although it is a very basic task for a human ...

Abstract: This paper provides a detailed study to detect the langour of the driver using python programming language and haar training algorithm to identify the eye movements of the driver by ...

Programming the Raspberry Pi. Complete code for Driver Drowsiness Detector Using OpenCV is given at the end of the page. Here we are explaining some important parts of the code for better ...

SAN FRANCISCO, October 22, 2024--Samsara Inc. ("Samsara") (NYSE: IOT), the pioneer of the Connected Operations® Cloud, today launched its Drowsiness Detection feature into general availability ...