Drowsy driving is a major problem in our
society. Because of this road accidents are increasing at
a tremendous rate and it leads to the loss of human life
and many other problems. So that the drowsiness
detection system is the perfect solution for this problem.
In this system, we consider the parameters like the face
detection, position of the head and most importantly the
blinking of the eye. Image processing algorithms are
used to ensure proper detection of drowsiness in order
to avoid road accidents. In the proposed method, the
USB camera that captures drivers face and eye. After
processing these images, it will be sent to the drowsiness
detection system. When the drowsiness is detected, the
system gives awareness to the driver through an alarm
and also an alert message is sent to the concerned
person’s mobile. Haar Cascade Classifiers are used to
detect the eye blink duration of the driver and then the
Eye Aspect Ratio (EAR) value is calculated. The
drowsiness detection is based on this calculation.
Keywords : Image Processing Algorithms, EAR, Haar Cascade Classifier.