DROWSINESS DETECTION SYSTEM USING YOLO FOR DRIVER SAFETY

Driver drowsiness is a significant factor in road accidents, often leading to severe consequences.This paper presents a real-time drowsiness detection system using the You Only Look Once (YOLO) object detection model.The system is designed to identify signs of fatigue such as eye closure and yawning, triggering an alert to warn the driver.YOLOv5 is employed for its speed and accuracy in object detection tasks.The solution also integrates facial landmark analysis for enhanced precision in detecting drowsy behavior.The model is trained and tested on real-world datasets and demonstrates high performance in various lighting and environmental conditions.This system aims to serve as a proactive road safety measure by preventing drowsiness-induced accidents.