Portable Prevention and Monitoring of Driver’s Drowsiness Focuses to Eyelid Movement Using Internet of Things

This paper includes a drowsiness prevention device since recently vehicular count of accidents increases yearly in the Philippines. Current safety measures are followed to increase the driver's awareness which includes the use of standard rumble strips on roads reference, installation of GPS, speed limiters, sensors and other studies uses signal processing embedded of an expensive vehicle. The technology uses internet of things so that the vehicle owner can monitor the driver's drowsiness everywhere during work hours. The study focuses at the eyelid movement that is not yet mentioned to the previous study. This proposed system continuously scans the eyelid movements of the driver and once drowsiness is detected the device automatically alerts him using a random-typed alarm. It automatically forwards the report to the vehicle owner from the web application through internet access. The project received consistent results through evaluation and testing as it is 95% successfully detects and alerts a drowsy driver.