Vehicular Security: Drowsy Driver Detection System

Detecting the driver's drowsiness in a consistent and confident manner is difficult job because it necessitates careful observation of facial behaviour such as eye-closure, blinking, yawning. It's much more to deal with when they're wearing sunglasses or scarf, seen data collection for this competition. A drowsy person makes variety gestures, quick repetitive shaking their heads, yawning often. Drivers' levels are commonly determined by assessing abnormal behaviours using computerised, nonintrusive behavioural approaches. Using computer vision techniques track sleepiness non-invasive manner. The aim paper calculate current eyes, which visualised camera, so that we can check drowsiness. We present detection framework uses Python, OpenCV, Keras notify driver he feels sleepy. will use OpenCV gather images from webcam feed them into Deep Learning model classify whether person's eyes "Open" "Closed" article.