Uso de visión artificial en la detección de estrés laboral para el personal del Departamento de Bienestar Estudiantil

Abstract

The personnel in the Student Welfare Department face up deal significant challenges related to stress, which can negatively impact their performance and the work environment. To address this issue, a computer vision system has been implemented that uses advanced technologies to detect signs of stress in real-time. By employing cameras and image processing algorithms, the system captures and analyzes facial expressions of the staff, identifying emotions related to stress. At the end of the assessment period, detailed reports are generated, allowing the welfare team to study the predominant emotions and take proactive measures to improve the work environment.