Header menu link for other important links
Real-time driver fatigue or drowsiness detection system using face image stream
, J.V. Thomas Abraham, A. Muralidhar, K.V. Reddy
Published in IAEME Publication
Volume: 8
Issue: 11
Pages: 793 - 802
According to the Road Accident Statistics in India report presented by the NDTV in 2016. One death for every 4 minutes because of a road accident in India. The major reasons for the following accidents are happening due to the Drowsiness and driver fatigue nature during the driving. Lack of sleep is one of the major reasons for drowsiness. The boundary between feeling sleepy and established sleep is known as drowsiness. Driver Fatigue is one major factor for 20% global accidents. There are many system attempted to identify the drowsiness of the driver in a driving simulation by recording the Non-visual signals and some systems concentrated on the developing a face recognition technique while driving and alerting the driver by rising the alarm in computer software application based interface. This research is aimed to build a real-time application which can be used to detect the fatigue or drowsiness in driving conditions and alert the driver whenever drowsiness is detected. The application is able Predict the behavior of driver by measuring the visual measurements in the driving conditions in a feasible model which can be used by the all types of commercial and personal vehicles. © IAEME Publication.
About the journal
JournalInternational Journal of Civil Engineering and Technology
PublisherIAEME Publication