Abstract
Traffic accident may occur at any time, and most of the time is because while driving a car, the driver is tired. Road wreck can be prevented if pilot of the vehicle is conscious of the state and circumstance of caution on the lane. There are many technologies for development today, one of which is Technique of detecting the objects. The technology for detecting the object requires to detect a detailed facial recognition. Researchers develop a system that is capable of detecting the drowsiness to alert the pilot when the pilot appears sleepy while driving a vehicle, this may avoid crash. Pilot that is the consumer in this case, is they shout-off the eye in seconds, the sensors that is the smartphone's front camera can catch and analyze this occurrence and then activate the device to warn the user to speech. Authors use OpenCV Library to process the detected file. OpenCV Library uses the Haar Cascade Classifier to classify features like face and eyes. In this method, the eye and facial recognition are targetted. On the Android Operating System, this program will be introduced.
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