Effective way to Diagnosis Driver Drowsiness with the aid off Deep-Learning Neural Network (DNN)

Abstract

Among various reasons, Drowsiness is the main cause of road accidents, especially driver who tends to drive continuously long distance or during long night drive are mostly subjected to drowsiness. To resolve an appropriate system is utilized to diagnose the drowsiness and alert the driver prior to the fault play. This research intends to infer the drowsiness level with the aid of facial features that can be extracted from the face. Facial features include yawning, eye blink and head position (slant) identify by object detection technique Viola-Jones then feature extraction technique utilize to identify the detected portions which is further utilized as an input attributes for Deep Neural Network (DNN) to identify the drowsiness. The results evident the performance of DNN associates with various measures.