Implementación de un prototipo de brazo robótico que realiza control de calidad con visión artificial, para el laboratorio de automatización de la Escuela de Ingeniería Industrial de la ESPOCH.

Abstract

We present the design and construction of a technological prototype whose objective is to classify objects by their color, shape, measure circular and rectangular elements by means of artificial vision using a robotic arm. The technological prototype was designed in SolidWorks Educational. The structure was built with aluminum profile 2350 Cedal catalog, the conveyor belt consists of a driving drum, sensor, side supports and a DC motor that was selected according to the required power. The sensor and the robotic arm was selected, through an analysis of the technical characteristics of the manufacturer, the prototype is controlled with an Arduino Uno programmed in LabVIEW thanks to the Lifa Base library that allows LabVIEW-Arduino communication. The developed application keeps the conveyor in motion until the sensor detects an object, stops and activates the camera, captures the images, processes them and moves the object as programmed in the artificial vision system. An Excel document of the number of items inspected, their measurements, the date, time and a record of images. The performance tests are performed based on the response times of the prototype technologist and a male and female operator, 20 measurements were performed for each function and when analyzing the data as a whole, it was determined that the technological prototype is faster and more reliable in 14.68% than the operators. We conclude that an artificial vision system integrates several components, optimizing time and resources in the classification and measurement of elements, the artificial vision has several applications that must be investigated and can be used in the industry that is becoming more competitive.