Paper Contents
Abstract
Driver drowsiness detection is an advanced and essential safety system designed to monitor drivers and identify early signs of fatigue before they escalate into potentially dangerous situations. Fatigue and drowsiness are significant factors contributing to road accidents, as they impair reaction times, reduce attentiveness, and hinder decision -making abilities. This system aims to address these risks by providing real-time monitoring and timely interventions to prevent accidents caused by driver exhaustion. The system employs a range of sensors and intelligent technologies to track specific physiological and behavioral indicators associated with drowsiness. Key parameters monitored include eye movement, blink rate, eyelid closure duration, head position, and even facial expressions. For instance, a prolonged blink or frequent nodding could signal that the driver is becoming drowsy. In more advanced systems, additional sensors may measure heart rate, skin temperature, or brain activity to detect deeper physiological changes indicative of fatigue. Some systems use infrared cameras to function effectively even in low-light conditions, ensuring continuous monitoring regardless of the time of day
Copyright
Copyright © 2024 Nandan C. This is an open access article distributed under the Creative Commons Attribution License.
