Diseño e implementación de un sistema clasificador de piezas geométricas adaptado a un brazo neumático FESTO ubicado en el grupo de investigación INTEGRA

Abstract

Robotic classification systems are supported by different sensors that, depending on their type, can determine various characteristics of the object to be classified. Every day the complexity in the implementation of such robotic systems increases, due to the constant advancement of the technical characteristics of the hardware. In this article, the design of a classifying system of metallic geometric pieces using artificial vision techniques is exposed, adapting it to a FESTO pneumatic arm of the Francisco José de Caldas District University, which underwent preventive and corrective maintenance to optimize its operation. The results obtained show that by means of digital image processing, an algorithm capable of determining the shape of the geometric figures and in turn displacing, classifying and rejecting the figures detected by artificial vision could be developed using a pneumatic arm and a classifying system.