The drowsiness of the driver and rash driving are major causes road accidents, which result in loss valuable life, deteriorate safety traffic. Reliable precise systems required to prevent accidents improve traffic safety. Various detection have been designed with different technologies an affinity towards unique parameter detecting driver. This paper proposes a novel model multi-level distribut...

The purpose of doing this research is to design an application for fast drowsiness detection system, so the rate of traffic accidents due to negligence of the driver can be lowered. This research uses several methods such as the method of analysis that includes literature study, design method and testing method. Then we design and test on how accurate the given data when compared to the real co...

The increase in vehicle accidents due to the driver drowsiness over the last years highlights the need for developing reliable drowsiness assistant systems by a reference drowsiness measure. Therefore, the thesis at hand is aimed at classifying the driver vigilance state based on eye movements using electrooculography (eog). In order to give an insight into the states of driving, which lead to ...

Traffic accidents due to human errors cause many deaths and injuries around the world. To help in reducing this fatality, in this research, a new module for Advanced Driver Assistance System (ADAS) for automatic driver drowsiness detection based on visual information and Artificial Intelligence is presented. The aim of this system is to locate, to track and to analyze the face and the eyes to c...

Unfit drivers are the cause of tens of thousands of incidents on the roadswhich lead to injuries anddeaths. Therefore, it is very important to take preventive measures against such incidents. One of the unfit driving conditions is driving while being drowsy. Using image processing techniques, drowsiness of the driver could be detected and hence such incidents could be prevented. In this work, i...

ABSTRACT Absence of forbearance among drivers, fatigue and irresponsible behaviour drivers result in countless fatal crashes road traffic injuries. Driver drowsiness is a highly problematic issue which impairs judgment decision making resulting motor crashes. This paper describes simple detection approach for smartphone with Android application using Studio 3.6.1 Mobile Vision API before while ...

The aim of our project is to provide a real time non-intrusive driver drowsiness detection to prevent the rapidly growing accidents caused by sleepy or drunk driver. We are going to merge the 2 requirements for safe driving in a single equipment. The car does not function unless the two conditions of safe driving are satisfied. Bio signals, such as brain waves, pulsation waves, and heart beat a...