Driver Dizziness Detection Using Python
Sri Shanthi Meesala, D. Vivekananda Reddy · Journal of Emerging Technologies and Innovative Research · 2020
Accident is an incident that happens unexpectedly, for some mistake done, but if the mistake is from our side, we can prevent it. Since the majority of accidents are caused because of distraction or the drowsiness of the driver, people taking a long drive often suffer from lack of sleep and are prone to an accident. To prevent such accidents we propose a system which alerts the driver whenever he feels drowsy. We will build a system which takes the facial features as input from a live recording through a webcam, or camera and then process each frame from the video, to detect the location of eye and by using mathematical calculations, analysing whether the eye location points are changing i.e. The eyelids are closing continuously or not, using the modules of Python i.e., Tkinter, Scipy, imutils, dlib, CV2, PyGame and alert the driver with an audio alert, which makes him stay awake.