Various investigations show that driver's drowsiness is one of the main causes of road accidents. The current technology in digital computer system allows researchers around the world to study the fatigue behavior. The purpose of this project is to detect the drowsiness in drivers to prevent the accidents and to improve the safety on the highways. Real time face detection is implemented to locate driver's face region. In this project the eye blink of the driver is detected. If the driver's eyes remain closed for more than a certain period of time, the driver is said to be drowsy and an alarm is sounded. The programming is done in python language and Open CV. The Histogram of Oriented Gradients technology and the learned Face Landmark estimation techniques were used to detect faces and eyes. Furthermore, the concept of Eye Aspect Ratio was used to detect drivers' drowsiness. This project aims to develop drowsiness system. Through these works, research and make technology of intelligent vehicle systems and vision computing, which is gaining much attention recently.