Paper Key : IRJ************734
Author: Jay Shinde
Date Published: 11 Nov 2024
Abstract
The paper introduces a system designed to detect drowsiness in real-time. Developed to enhance workplace productivity through Artificial Intelligence, this system uses a basic webcam equipped with specific programming to monitor the users eyes and mouth, determining signs of drowsiness. If drowsy behaviors, such as yawning or closed eyes, are identified, an alarm sounds to alert the employee. The system leverages Image Processing to pinpoint facial areas and uses Python and OpenCV to assess whether the users eyes are closed or they are yawning.
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