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In recent years, road accidents have increased significantly. One of themajor reasons for these accidents, as reported is driver fatigue. Due tocontinuous and longtime driving, the driver gets exhausted and drowsy which maylead to an accident. Therefore, there is a need for a system to measure thefatigue level of driver and alert him when he/she feels drowsy to avoidaccidents. Thus, we propose a system which comprises of a camera installed onthe car dashboard. The camera detect the driver's face and observe thealteration in its facial features and uses these features to observe thefatigue level. Facial features include eyes and mouth. Principle ComponentAnalysis is thus implemented to reduce the features while minimizing the amountof information lost. The parameters thus obtained are processed through SupportVector Classifier for classifying the fatigue level. After that classifieroutput is sent to the alert unit.

An Improved Fatigue Detection System Based on Behavioral Characteristics of Driver