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Driver drowsiness is a primary cause of several highway calamities leads to severe physical injuries, loss of money, and loss of human life. The implementation of driver drowsiness detection in real-time will aid in avoiding major accidents. The system is designed for four-wheelers wherein the driver's fatigue or drowsiness is detected and alerts the person. The proposed method will use 5-megapixel Raspbian camera that captures driver's face and eyes and processes the images to detect driver'sdoi:10.14419/ijet.v7i2.24.11993 fatcat:zaxg5gsp55f5bkkjiylti2kmx4