Driver drowsiness has been implicated as a major causal factor in road accidents. Tools that allow remote monitoring and management of driver fatigue are used in the mining and road transport industries. Increasing drivers' own awareness of their drowsiness levels using such tools may also reduce risk of accidents. The study examined the effects of real-time blink-velocity-derived drowsiness fe...

Statistics have shown that 20% of all road accidents are fatigue-related, and drowsy detection is a car safety algorithm that can alert a snoozing driver in hopes of preventing an accident. This paper proposes a deep architecture referred to as deep drowsiness detection (DDD) network for learning effective features and detecting drowsiness given a RGB input video of a driver. The DDD network co...

Drowsiness is one of the major causes driver-induced traffic accidents. The interactive systems developed to reduce road accidents by alerting drivers called as Advanced Driver Assistance Systems (ADAS). most important ADAS are Lane Departure Warning System, Front Collision System and Systems. In this study, an system based on eye state detection presented detect driver drowsiness. First, Viola...

In this research, a questionnaire survey was conducted to measure nap, drowsiness and fatigue of drivers who work for long shifts, to discuss about the work environment and health conditions for taxi and bus drivers who work at night-time. The questionnaire sheet used for this research was organized into the following categories: tension/tiredness, drowsiness while driving, and the nap situatio...

Due to the increasing growth in population, the occurrence of vehicle accidents has also seen an increase. A detailed analysis shows that, around half million accidents occur in a year, in India alone. Drowsiness and sleeping while driving are now identified as one of the reasons behind fatal crashes and highway accidents caused by drivers. Various drowsiness detection techniques researched are...

The purpose of this paper is to develop a driver drowsiness and monitoring system that could act as an assistant the during driving process. aimed at reducing fatal crashes caused by driver’s distraction. For drowsiness, operates analysing eye blinks yawn frequency while for distraction, works based on head pose estimation tracking. alarm will be triggered if any these conditions occur. Main pa...

As field of signal processing is widening in various security and surveillance applications, motivated the interest for implementing better application with less complications. A non-intrusive machine vision based concepts is used to simulate Drowsiness Detection System. The system is consisting of web camera which placed in a way that it records driver’s head movements in order to detect drows...

The primary reason for road accidents is drowsiness reported by National Highway Traffic Safety Administration (NHTSA). To overcome this issue, researchers have proposed and implemented various methods based on driver behaviour vehicle movements. Vehicle-based often rely a set of predetermined parameters to detect drowsiness, such as changes in steering wheel angle or lane deviation. However, t...