Design and implementation of driver drowsiness detection system on digitalized driver system

In Indonesia, based on data from police, from the 2007-2010 at least 218 253 number of accidents occur. Approximately 65% of accidents occur due to human negligence. At the time of Eid 23 August to 7 September 2011, the number of accidents that occur most often caused by drowsy drivers (1,018 cases), followed by airworthiness vehicles (449 cases), roadworthiness (387 cases), and speed (155 cases). Drowsiness detection system created to reduce the risk of accident while driving. The system will records image of driver then face and eyes will be detected. Results of eyes detection, each frame value will be analyzed if eyes are closed for 4 seconds. If eyes close for 4 seconds then system will decide that driver is sleepy and alarm will sound. From the experiment, average result for detection is 954 ms, best position of camera is above the driver on the dashboard and for bright condition.