Employee Alerting System Using Real Time Drowsiness Detection

Abstract

The paper proposes a system which is developed for detecting drowsiness of an individual in real time. This system aims for the betterment of the society by increasing the productivity of the employee using Artificial Intelligence. This system will use a basic webcam programmed with a code, directly facing the individual to monitor the eyes and mouth of the user to derive whether the individual is drowsy or not. If symptoms of drowsiness such as yawning and closed eyes are detected, then the system buzzes alarm to alert the Employee. It utilizes the concept of Image Processing to detect the target area of the face. Python programming along and Open CV is interfaced for determining if the Eyes are closed and the person is yawning. The main objective of this project is to monitor any Employee who is working online to increase the productivity caused due to drowsiness and work fatigue. First, the edge of the face is detected, after finding the face, eyes and mouth are found using Facial Landmark Detector file in Dlib Library. After locating the eyes and mouth the distance between them is measured to determine whether they are Open or closed. If the Eyes are found closed for a specific time and mouth is found open for a specific time, then it is recorded. If the same continues for more than four times, then the employee gets an alerting buzz.