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Driver Drowsiness Detection System

Author : International Journal of Science and Management Studies (IJSMS) © 2024 by IJSMS Journal Volume-7 Issue-1 Year of Publication : 2024 Authors : Mythili S, Fyzil Kani M Y, Sameer Ahamed S, Shaik Salman D Journa Name: International Journal of Science and Management Studies (IJSMS) Country : India Volume: 7 issue: 1 Year: 2024 Views : 91
Abstract:
Abstract: The Driver Drowsiness Monitoring System (DDMS) stands as a crucial advancement in automotive safety, specifically designed to mitigate accidents stemming from drowsy driving. Employing a sophisticated blend of sensors and advanced algorithms, it continuously monitors the driver's state, identifying signs of drowsiness in real-time. Key elements encompass infrared cameras, facial recognition technology, steering angle sensors, and biometric sensors such as heart rate monitors, collectively offering a comprehensive insight into the driver's behavior and physiological condition. The DDMS software meticulously analyzes data from these sensors, evaluating parameters like eye movement, blink frequency, facial expressions, and steering patterns. Upon detecting signs of drowsiness, the system promptly issues audible and visual alerts, thereby averting potential accidents caused by driver fatigue. Its adaptability to diverse vehicles and driving conditions establishes it as an indispensable tool for bolstering road safety, effectively curbing drowsy driving-related incidents.
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