INTELLIGENT PILOT BEHAVIOUR MONITORING SYSTEM FOR LOGISTICS

Driving behavior is a complex concept that provides a description of human's decision while driving and how pilots control the vehicle includes a drowsiness prevention device since current safety measures are followed to increase the pilot's awareness which includes the use of standard rumble strips on roads reference, installation of GSM, IOT, 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 pilot'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 pilot 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 page through internet access.