A Novel Approach for Fatigue Driver Prediction using Deep Learning Model

Accidents occur most frequently when a driver is sleepy, and this is true anywhere in the world. Many drivers experience fatigue and drowsiness as a result of inadequate sleep and exhaustion, which frequently causes traffic accidents. The greatest strategy to prevent driving accidents brought on by tiredness is to warn the motorist in advance. Road accidents are the world's first cause of death and are becoming increasingly common as the number of automobiles on the road rises daily. There are many methods for detecting tiredness. In the proposed work, a deep neural-based method based on transfer learning is used to find the driver's fatigue while driving.