Drivers who don’t take regular breaks when driving long distances run a high risk of becoming drowsy, which may lead to accidents. Drowsiness accidents have a high fatality rate.Driver fatigue is one of the major causes of accidents in the world. Detecting the drowsiness of the driver is one of the surest ways of measuring driver fatigue. It was demonstrated that driving performance deteriorates with increased drowsiness resulting in crashes constituting more than 20% of all vehicle accidents. But life lost once cannot be rewinded. We aim to develop a drowsiness detection system for this problem.
We faced a challenge while creating a model. To overcome that we have referred to many notebooks.
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