Abstract: The project addresses the crucial issue of drowsy driving, a significant contributor to road accidents. The proposed system employs cutting-edge technology to monitor the driver's level of drowsiness through computer vision. By analyzing facial cues and eye movements, the system can detect signs of fatigue and alertness in real-time. When drowsiness is detected, the system takes proactive measures to keep the driver awake and alert. It automatically plays an alarm to stimulate the driver's senses and mitigate drowsiness. The system also includes a hand detection module to determine whether the driver is active if the alert is activated a certain number of times. This function is essential since inactivity during a state of exhaustion might result in serious consequences. The technology alerts the driver and averts possible collisions when it detects a driver's condition of drowsiness. The technology reacts instantly in emergency scenarios if the driver's fatigue approaches a threshold and prolonged inactivity is noted. The driver's current position is shared with the chosen emergency contacts through an alert message. The overall goal of this project is to improve road safety through the efficient detection and mitigation of driver fatigue and the provision of prompt assistance in emergency situations.
Keywords: Computer Vision, Drowsy driving, Alarm, Alert message, Eye and hand detection.
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DOI:
10.17148/IJARCCE.2024.13493
