Drowsy driving is one of the common causes of millions of traffic accidents every year in the world. Many other accidents in industry and transportation are direct result of tiredness or drowsiness. Current drowsiness detection systems do not provide effective solution because of their weaknesses such as bulky design, dependence on road types or illumination. The research is to develop cost-effective and practical system to identify the level of tiredness and drowsiness from physiological condition of the driver. The methods of detecting driver drowsiness state by capturing and calculating the blinking rate, ratio of eyeopening and yawning pattern are developed and analysed by a new developed algorithm. Then, information collected by the camera system are saved in the local and internet database which later can be retrieved for further processing.