Advanced Detection of Driver Drowsiness Using CNN-LSTM Robust Approach

Drowsy driving is one of the major leaders of road accidents and poses a serious safety concern for self as well as others on the road. Driver fatigue inhibits the ability of drivers to sense danger and avert it quickly., and the concept of focus is completely compromised, leading to increased incidents of road accidents. This paper proposes an approach for detection of facial features and eye movements using deep learning architecture. A number of methods have been proposed to gauge driver drowsiness, including yawning, eye movement detection, head movements etc.