Diseño e implementación de un sistema de identificación de componentes eléctricos en módulos didácticos mediante visión artificial

Abstract

Over time, artificial intelligence (AI) has taken on very important relevance in multiple fields, including education. This degree project aims to design and implement an identification system for electrical components in teaching modules using artificial vision. This initiative aims to automate the component identification process, reducing human errors and optimizing the time spent by students, technicians and professors in the Electronics and Automation laboratories of the Salesiana Polytechnic University, Guayaquil. Through the creation of a diversified data set, the labeling of images, the development of a classification model and its validation in real conditions, it is intended to achieve a significant improvement in the management of the teaching modules.