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Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of accidents on today's roads. Here, we describe a real-time online safety prototype that controls the vehicle speed under driver fatigue. The purpose of such a model is to advance a system to detect fatigue symptoms in drivers and control the speed of vehicle to avoid accidents. The main components of the system consists of a eye blink sensor for driver fatigue detection, and an adaptive speed controller designed using the theory of sliding mode servo control for providing precise positioning of the throttle valve to control speed of vehicle.
The main idea is to develop a nonintrusive system which can detect fatigue of the driver and issues a timely warning. Since, a large number of road accidents occur due to the driver drowsiness. It will monitor the driver's eyes using eye blink sensor and detects the symptoms of driver's fatigue early enough and control the vehicle to avoid accidents. So this system will be helpful in detecting driver fatigue in advance consequently stops the vehicle automatically and will give warning output in form of sound. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning.

Keywords

Fatigue Detection, Advanced Vehicle Safety, Driver Fatigue, Fatigue Warning,
Driver Safety, Advanced Road Safety, Driver Drowsiness, Eye Tracking System, Driver
Performance, Real Time Fatigue Detection, Driver Assistance, Driver Monitoring System

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