Development of a real-time driver drowsiness detection and alert system
2025
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Advisor: Dr. Öğr. Üyesi Mithat Önder
Abstract (EN)
Driver fatigue is a significant problem that threatens traffic safety, especially during long-duration vehicle operation. The real-time detection of fatigue is of great importance in preventing traffic accidents. In this study, it is aimed to develop a system capable of detecting real-time facial movements and head movements. A Raspberry Pi 4, an in-vehicle Raspberry camera, and an MPU6050 accelerometer sensor mounted on the driver's head will be used. By combining image processing techniques with sensor data, driver drowsiness will be detected, and real-time feedback will be provided to the driver during driving.
Author
Dr. Murat Avşar
Institution
How to Cite
Murat Avşar (Master Thesis). Development of a real-time driver drowsiness detection and alert system, 2025, Bolu Abant Izzet Baysal University.
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