Development of an Advanced Drowsiness Detection System to Enhance Automotive Safety
Year: 2025
Type: article
Abstract: Driver safety is a critical concern in modern automotive systems aimed at reducing road accidents. This project focuses on enhancing vehicle safety by monitoring the driver’s eye blinks to assess their level of alertness. By detecting and analyzing eye blink patterns, the system estimates the driver’s status—such as fatigue or distraction—and subsequently enables real-time control interventions to prevent potential accidents. The integration of this eye blink detection mechanism within the car’s safety system offers a proactive approach to accident avoidance, improving overall road safety. This study demonstrates the feasibility of using eye blink monitoring as an effective measure for driver status evaluation and underscores its importance in the development of intelligent driver assistance systems
Author: Hassan, Noor Abdulrahman
Institution: Al-Muthanna University
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949501436
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