  This paper describes method for detecting the early signs of fatigue in train
drivers. As soon as the train driver is falling in symptoms of fatigue
immediate message will be transfer to the control room indicating the status of
the drivers. In addition of the advance technology of heart rate sensors is
also added in the system for correct detection of status of driver if in either
case driver is falling to fatigue due to any sever medical problems .The
fatigue is detected in the system by the image processing method of comparing
the image(frames) in the video and by using the human features we are able to
estimate the indirect way of detecting fatigue. The technique also focuses on
modes of person when driving the train i.e. awake, drowsy state or sleepy and
sleep state. The system is very efficient to detect the fatigue and control the
train also train can be controlled if it cross any such signal by which the
train may collide on another train.
