Sistema de empaquetado con control de calidad inteligente utilizando dispositivos mecatrónicos embebidos para PYMEs Agricolas

Abstract

This project presents the design and development of an automated system for the inspection, classification, packaging, and sealing of fruits aimed at supporting small agricultural producers. The proposed system integrates a conveyor belt, a computer vision system based on the YOLO detection model trained to identify defects in mangoes, and an automatic classification mechanism using actuators controlled by an ESP32 microcontroller. The vision model was implemented in a processing unit responsible for real-time image analysis, while the microcontroller managed the coordination of sensors and actuators within the system. In addition, an automatic packaging and sealing module was developed to obtain a final product ready for commercialization. Experimental tests confirmed the correct operation of the system, achieving reliable fruit detection and stable operation of the transport, classification, and sealing modules. Keywords: computer vision, YOLO, embedded system, automatic fruit classification, agroindustrial automation.