One of the main reasons of accidents in the world is driver fatigue. Survey of traffic shows that driver drowsiness may be a contributory factor, around 31% of all road accidents are causes due to drink and drive. The development of new technologies for detecting driver drowsiness is a major challenge in the field of accidents avoidance systems. Detecting the drowsiness of the driver is one of the assured ways of measuring driver fatigue. In this project we aim to develop a prototype drowsiness detection system. This system operates by monitoring the eyes of the driver and sounding an alarm when driver is drowsy. The principle of the proposed system in this paper is based on the real time facial images analysis for warning the driver of drowsiness or in attention to prevent traffic accidents. Present paper gives the overview of the technique for detecting drowsiness of the driver and impact of the problem, face detection technique, alcohol detection technique, drowsiness detection system and alcohol detection structure, system flowchart. The proposed system may be estimated for the effect of drowsiness and alcohol consumption level by warning under various operation conditions.