Real time image segmentation and drowsiness detection using deep learning

Driver drowsiness is a paramount of road accidents worldwide. Traditional approaches to detect drowsiness rely on measuring the driver’s vital signs, but these methods have limitations and do not consider the driver’s visual keeping an eye on the road. Recently, machine learning approaches have been...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Sharma, Shubham, Sarkar, Hrithika, Kirubanantham, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accident prevention Artificial neural networks Deep learning Driver fatigue Eye (anatomy) Heart rate Identification methods Image segmentation Machine learning Real time Roads Sleepiness Time measurement Traffic accidents
Online-Zugang:	Volltext
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