Book Title: Contemporary Research Across Disciplines
Editors: Dr. R. Saravana Selvakumar and Mr. R. Venkatesan
ISBN: 978-81-978738-1-2
Chapter: 11
DOI: https://doi.org/10.59646/crc11/278
Author: Mr. K. Manikandan, Assistant Professor, Department of Information Technology, G. Venkataswamy Naidu College (Autonomous), Kovilpatti, Tamil Nadu, India.
Abstract
According to last year’s report on road crashes, driver negligence and drowsiness are the primary causes of fatal accidents. This issue highlights the need for a system that can detect driver drowsiness and alert them before an accident occurs. In response, we have developed a drowsiness detection and accident prevention system based on eye blink duration. The system first detects whether the eyes are open or closed by analyzing the Eye Aspect Ratio (EAR). It then monitors the duration or frequency of blinks as the eye state changes from open to closed. If the blink duration exceeds a certain threshold, indicating drowsiness, the system sends an alert to the driver via an alarm. Our system has demonstrated approximately 92.5% accuracy on the yawning dataset (YawDD).
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