THE DRIVER DROWSINESS DETECTION AND ALERT SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY

Abstract

 The objectives of this study are to: 1) investigate the use of Internet of Things technology in driver
 drowsiness detection and warning systems; 2) design and develop such systems employing Internet
 of Things technology; and 3) test and assess the effectiveness of such systems. The created system,
 which is composed of hardware and software, uses an ESP32-CAM camera coupled to a cloud
 computing system to analyze and identify tiredness from the driver's behavior, including blinking
 and glancing away from the road. The device will alert users via speakers and a smartphone app that
 displays rest areas in the area when it senses tiredness. With a reaction time of under 0.5 seconds and
 an accuracy of 92% in identifying blinking and tiredness, the system's performance test demonstrated
 its ability to reliably detect driver drowsiness. For precise rest stop recommendations, the system
 may also establish a GPS connection. The results of the tests demonstrate that the system can
 function well in real time and successfully lower the chance of accidents brought on by fatigue.
 Cite this Article: Sumran Chaikhamwang, TulsitDarasawang, Rungrot Sukjaimuk, ThidalakYuyen,
 AnusornChaikaew. (2025). The Driver Drowsiness Detection and Alert System Using Internet of
 Things (IoT) Technology. International Journal of IoT and Data Science (IJIDS), 3(1), 1-15.