DRIVER FATIGUE DETECTION
Keywords:Fatigue,Thrisholding Drowsiness, Assistance, HaarCascade, Open CV, Blob
Driver fatigue and drowsiness is a main cause of large number of vehicle accidents. Recent report states that 1200 deaths and 76000 injuries caused annually due to drowsiness conditions. Sleepiness is main issue in large number of accidents take placed. Development of a complete system which will help to prevent drowsiness is a major challenge in accident development system. Current technologies used for detecting driver’s fatigue condition uses in physiological signals like heartbeat rate, eye blinking detection and brain activities. But this technique does not have advantages in real world application. Because using electrodes to get signal is very annoying for driver every time and this systems are not cost effective. To overcome all of these problem driver assistance systems is proposed. The purpose of this project is to detect that whether driver is about to fall asleep while driving or not and if driver is in drowsy condition, then give him alert by using alarm or any other device. This will make user alert and will help to prevent accidents during driving.
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