Development of a Real-time Drowsiness Detection System for Enhanced Vehicle Safety
Year: 2025
Type: article
Abstract: In recent years, enhancing driver safety has become a critical focus in the automotive industry to reduce the risk of accidents caused by driver fatigue or inattention. This project aims to develop a real-time driver safety system by monitoring eye blinks to assess driver alertness. The system detects the frequency and duration of eye closures to estimate the driver's state—whether alert, drowsy, or asleep. Based on the detected status, the system can initiate control actions to ensure safety, such as triggering alarms or reducing vehicle speed. This intelligent monitoring approach enhances situational awareness and contributes to accident prevention, especially during long or monotonous drives
Author: Mohammed, Saeed Al-Rikabi
Institution: Al-Muthanna University
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6911864101
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