1Mannem Sai Teja, 2Guthi Yaswanth, 3Kommanaboyina Bhaswanth, 4 Irapani Lakshmi Narasimha, 5S. Ravindra 02 07 Driver drowsiness is one of the major causes of road accidents worldwide resulting in injuries fatalities and significant economic losses Fatigue and lack of concentration reduce the drivers ability to react quickly to road situations thereby increasing the risk of accidents The proposed Drowsiness Detection System is designed to monitor the drivers alertness condition continuously and provide realtime warning notifications whenever drowsiness symptoms are identified The system utilizes sensors and intelligent monitoring techniques to detect eye movement and blink patterns The collected information is processed through a controller unit that continuously analyzes the drivers behavior When the detected values exceed predefined threshold levels the system automatically activates a buzzer alert and initiates safety measures to reduce accident possibilities GPS technology is integrated to provide location information during emergency situations while IoT functionality allows realtime monitoring and communication The proposed system reduces manual intervention improves road safety and provides immediate responses to dangerous situations Experimental results indicate that the system effectively identifies fatigue conditions with high accuracy and supports the development of intelligent transportation and driver assistance systems Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026