In recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries and deaths. On-road driver’s fatigue and drowsiness are contributing more than 30% of reported road accidents . Statistics indicate the need for a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Driver drowsiness can be estimated by monitoring vehicle-based measures, behavioral measures and physiological measures. The physiological measure includes eye-blinks, yawning, nodding of heads. The Blink and micro-sleep detection mechanisms are implemented by monitoring EAR. EAR is calculated by calculating Euclidean distance between measured eye coordinates. Blinks and drowsiness levels are displayed on the monitor screen with a micro-sleep detection audio warning.