Driver drowsiness detection is a project built using Dlib and OpenCV with Python as a backend language.
Driver drowsiness is a major cause of road accidents globally. This project aims to mitigate this risk by developing a machine learning model that can detect signs of drowsiness in drivers. The system utilizes computer vision techniques to analyze facial landmarks and eye states to predict drowsiness.
-Real-time drowsiness detection
-Alerts for drowsy drivers
-Utilizes eye state analysis