Abstract
Abstract: The suggested technology intends to reduce the amount of accidents caused by driver sleepiness and exhaustion, hence increasing transportation safety. In recent years, this has been a prevalent cause of accidents. Several expressions and body motions, including exhaustion in the eyes and yawning, are seen as symptoms of sleepiness and fatigue in drivers. These characteristics indicate that the driver's condition is poor. The EAR (Eye Aspect Ratio) calculates the distance ratio between horizontal and vertical eye landmarks, which is essential for detecting sleepiness. A YAWN value is calculated for yawn detection utilising the distance between the lower and upper lips, and the distance is compared to a threshold value. We installed an eSpeak module (text to speech synthesiser) to provide suitable voice notifications when the driver becomes tired or yawns. The suggested method is intended to reduce the number of accidents and to contribute to technology in order to avoid fatalities caused by road accidents.
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