  In recent years, road accidents have increased significantly. One of the
major reasons for these accidents, as reported is driver fatigue. Due to
continuous and longtime driving, the driver gets exhausted and drowsy which may
lead to an accident. Therefore, there is a need for a system to measure the
fatigue level of driver and alert him when he/she feels drowsy to avoid
accidents. Thus, we propose a system which comprises of a camera installed on
the car dashboard. The camera detect the driver's face and observe the
alteration in its facial features and uses these features to observe the
fatigue level. Facial features include eyes and mouth. Principle Component
Analysis is thus implemented to reduce the features while minimizing the amount
of information lost. The parameters thus obtained are processed through Support
Vector Classifier for classifying the fatigue level. After that classifier
output is sent to the alert unit.
