Paper Title
A Review on Deep Convolutional Neural Network Methods
Abstract
We proposed to use this system to minimise the frequency of accidents caused by driver exhaustion, hence
improving road safety. This device uses optical information and artificial intelligence to identify driver sleepiness
automatically. Due to extended driving durations and boredom in crowded settings, driver weariness is one of the leading
causes of traffic accidents, particularly for drivers of big vehicles (such as buses and heavy trucks). During the survey, nonintrusive
methods detect drowsiness by measuring driving behaviour and sometimes eye features, through which camerabased
detection system is the best method and so are useful for real world driving situations. This paper presents the review
of existed drowsiness detection techniques that will be used in this system like Circular Hough Transform, FCM, Lab Color
Space etc.
Keyword - Circular Hough Transform, FCM, Lab Color Space, Artificial Intelligence.