Implementación de un prototipo de sistema automatizado para control de acceso mediante reconocimiento facial para el aula STEAM de la Universidad Católica de Cuenca, Extensión La Troncal.

Abstract

This study focuses primarily on the design and testing of an automated prototype for access control based on facial recognition technology, intended for implementation in the STEAM classroom at the Catholic University of Cuenca, on San Pablo de La Troncal campus. The system is proposed as an alternative to the current manual registration process, which aims to automate ongoing administrative processes. Traditional methods have proven impractical, as manual control tends to be slow, insecure, and prone to human error. In response, an automated system that influences technological advances in automation is proposed to provide greater speed, security, and reliability in data recording. The proposal aims to overcome the limitations of paper-based or basic digital records, which often lacks accuracy and efficiency. Consequently, a functional prototype that integrates Artificial Intelligence and the Internet of Things (IoT) is presented to enhance access management in academic environments, while also offering an intuitive interface adaptable to future institutional requirements.