Desarrollo de un sistema de identificación y clasificación de objetos mediante visión artificial y banda transportadora rotatoria modular

Abstract

This thesis presents the design and simulation of an automated system intended for the identification and classification of objects in an industrial environment, using artificial vision and a modular rotating conveyor belt. The system focuses on the classification of boxes of different sizes and their corresponding routing to specific destination bands. The process begins with the use of an artificial vision camera to detect the size of the boxes. This camera is strategically placed to maximize identification accuracy without external interference. Once identified, the boxes are directed to the corresponding conveyor belts: according to your size. To ensure efficient operation of the system, photoelectric sensors have been integrated at key points: at the beginning and end of the bands. These sensors control the activation and deactivation of the belt motors, in addition to allowing the counting of boxes entering and leaving the system. At the end of the sorting, the boxes are removed from the simulation by a resource called Receiver”. To ensure efficient operation of the system, photoelectric sensors have been integrated at key points: at the beginning and end of the bands. These sensors control the activation and deactivation of the belt motors, in addition to allowing the counting of boxes entering and leaving the system. At the end of the sorting, the boxes are removed from the simulation by a resource called Receiver”. The simulation is carried out in Factory IO, providing a realistic representation of the industrial process and allowing optimization of the system before its implementation in a real environment.