www.semargroup.org, www.ijsetr.com ISSN 2319-8885 Vol.03,Issue.04, April-2014, Pages:0657-0661 Copyright @ 2014 SEMAR GROUPS TECHNICAL SOCIETY. All rights reserved. Drowsy Driver Warning System using Microcontroller SINGH HIMANI PARMAR 1 , MEHUL JAJAL 2 , YADAV PRIYANKA BRIJBHAN 3 1 Dept of Electronics & Communication, GEC, Bharuch, Gujarat, India, Email: himani.singh92@yahoo.com. 2 Prof, Dept of Electronics & Communication, GEC, Bharuch, Gujarat, India, E-mail: jajalmehul@yahoo.co.in. 3 Dept of Electronics & Communication, GEC, Bharuch, Gujarat, India, E-mail: priyankayadav643@gmail.com. Abstract: Driver in-alertness is an important cause for most accident related to the vehicles crashes. Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of the accidents on today’s roads. Drowsy driver warning system can form the basis of the system to possibly reduce the accidents related to driver’s drowsiness . The purpose of such a system is to perform detection of driver fatigue. By placing the camera inside the car, we can monitor the face of the driver and look for the eye-movements which indicate that the driver is no longer in condition to driver is no longer in condition to drive and a message will be sent to control room. In such a case, a warning signal should be issued via a control room by a call. This paper describes how to find and track the eyes. We also describe a method that can determine if the eyes are open or closed. The main criterion of this system is that it must be highly non-intrusive and it should start when the ignition is turned on without having at the driver initiate the system. Nor should the driver be responsible for providing any feedback to the system. The system must also operate regardless of the texture and the color of the face. It must also be able to handle diverse condition such as changes in light, shadows, reflections etc. In given paper a drowsy driver warning system accerolemeter is proposed. Keywords: Drowsy, System, Fatigue, Accelerometer. I. INTRODUCTION The innovations in the automobile industry over the last hundred years have made our vehicles more powerful, easier to drive and control safer more energy efficient, and more environmentally friendly. Majority of the accidents caused today by cars are mainly due to the driver fatigue. Driving for a long period of time causes excessive fatigue and tiredness which in turn makes the driver sleepy or loose awareness. With the rapid increase in the number of accidents seems to be increasing day to day. Therefore a need arises to design a system that keeps the driver focused on the road. Data on road accidents in India are collected by Transport Research Wing of Ministry of Road Transport & Highways. The aim of this paper is to develop a prototype of drowsy driver warning system. Our whole focus and concentration will be placed on designing the system that will accurately monitor the open and closed state of the driver’s eye in real time and by tilting of head. This detection can be done using a sequence of images of eyes as well as face and head movement using accelerometer module. The observation of eye movements and head movement using accelerometer will be used. Devices to detect when drivers are falling asleep and to provide warnings to alert them of the risk, or even control the vehicle’s movement, have been the subject to much research and development. Driver fatigue is a serious problem resulting in many thousands of road accidents each year. It is not currently possible to calculate the exact number of sleep related accidents because of the difficulties in detecting whether fatigue was a factor and in assessing the level of fatigue. However research suggests that up to 25% of accidents on monotonous roads in India are fatigue related. Research in other countries also indicates that driver fatigue is a serious problem. Young male drivers, truck drivers, company car drivers and shift workers are the most at risk of falling asleep while driving. However any driver travelling long distances or when they are tired, it is at the risk of a sleep related accidents. The early hours of the morning and the middle of the afternoon are the peak times for fatigue accidents and long journeys on monotonous roads, particularly motor-ways, are the most likely to result in a driver falling asleep. In this paper the algorithms for face detection and eye tracking have been developed on frontal faces with no restrictions on the background .The proposed method for eye tracking is built into five stages. These include coarse and fine face detection, finding the eye region of maximum probability. A. Requirements of the Project  A non-intrusive monitoring system that will not distract the driver.  A real time monitoring system to insure accuracy in detecting drowsiness.  A system which should work in both day & night.