IOT Based Technology to Detect Driver fatigue to Avoid Road Accidents

Many people may not know how to tell whether they are too tired to drive, even when they are aware that it is dangerous to do so. With the help of the recommended remedy, you will discover how to recognize potential driver fatigue and react accordingly. The three primary categories of currently employed techniques are physiological, behavioral, and vehicular. The vehicle-based methods use steering control, brake control, pedal acceleration, and lane deviations, among other variables. The behavioral-based methods use things like eye blinking, head position, and the mouth-to-eye ratio during yawning. The physiologically based methods employ measures including heart rate, muscle, and brain activity. The purpose of these gadgets is to monitor a driver’s level of sleepiness and alert him about collisions. Since the accuracy for detecting sleepiness is very low, the proposed system would combine both methods to develop a hybrid system in order to boost the detection rate. A buzzer is installed to alert drivers when they are observed to be sleepy. This would allow the driver to take a break or have a cup of coffee rather than driving for long stretches of time without realizing that he is too tired. The proposed approach will additionally detect the collision and send the vehicle’s owner an SMS with the driver’s location if the buzzer is unable to wake the driver and a minor collision happens. This project addresses the significant issue of driver fatigue, a leading contributor to traffic accidents, by developing a system that can detect driver fatigue and alert the driver. The main concept is to continuously monitor the driver for signs of fatigue, such as extended eye closure or strange blinking patterns, using a camera or sensors.