The
objective of this project is to design a driving assistance system using
computer vision techniques in real time. Driver Fatigue is a significant risk
factor in both commercial and private transportation. Every year, hundreds of
thousands of drivers, passengers and pedestrians are injured, maimed or killed
in road accidents caused by driver drowsiness. Drowsy driver detection systems
can help reduce accidents related to drowsy driving. As the eye closure
occurrences dramatically increase during the 10-second period preceding an
accident, monitoring such closures is a good way to determine drowsiness and
prevent the accident. This 10 second range means that the system has to
determine if the driver is drowsy in only a few seconds. The algorithm that
will be used should not only be fast but effective with as less false alarms
(alerting when the driver is awake) and false findings (mistaking other
features in the image as eyes) as possible. The system will use a CCD camera
with Infra Red illumination which is pointed to the driver's face. Using the
image acquisition toolbox, images will be acquired and processed using our
Matlab code. Hardware setup includes an IR camera and personal computer.
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