Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

Real-time Nonintrusive Detection of Driver Drowsiness

Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of drivers’ drowsiness thus is of great importance to reduce drowsiness-caused accidents. This proposed research developed a real-time, nonintrusive driver drowsiness detection system by building biosensors on the automobile steering wheel and...

Embedded Real Time Blink Detection System for Driver Fatigue Monitoring

Fatigue induced vehicle accidents have seen an increase in the last few decades. Fatigue monitoring using noninvasive and real time image processing and computer vision techniques have shown great promise and are an active research area. To that extent, in the proposed work a blink detection algorithm is proposed that serves as a visual cue that may be correlated to the state of fatigue of the ...

Real-time Driver Fatigue Detection System

A Real-time Driver Fatigue Detection System has been developed, using image processing concepts. The system monitors the driver’s eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This report describes how to find the eyes, and also how to determine if the eyes are open or closed. The system deals with using information obt...

Fuzzy-Logic Decision Fusion for Nonintrusive Early Detection of Driver Fatigue or Drowsiness

Real-Time Sleepiness Detection for Driver State Monitoring System

Driver face monitoring system can detect driver fatigue, which is an important factor in a large number of accidents, using computer vision techniques. In this paper we present a real-time technique for driver eye state detection. At first face is detected and the eyes are searched inside face region for tracking. A normalized cross correlation based online dynamic template matching technique w...