Smart Alert System for Drowsy Driver Detection Using IOT

Abstract: The proposed system is an intelligent driver drowsiness and distraction detection system designed to enhance road safety based on detecting sleeping, yawning and distraction behaviour using IOT based technique. By utilizing computer vision techniques OpenCV and face recognition analysis, the system aims to monitor the driver's eye and mouth activities in real- time. It triggers alarms and alerts the driver when signs of drowsiness or distraction are detected. The system contributes to reducing  the  risk  of accidents caused by driver fatigue and inattention . Key terms: OpenCV, Face Recognition, Computer Vision (CV), Drowsiness Detection.