Control de un brazo robótico para reconocimiento de objetos utilizando sensores de visión inteligente

Abstract

Technological evolution has grown exponentially modifying and improving the quality of life of people and therefore the various activities that surround their environment, within all these technological processes that seek to improve the ability to provide solutions to possible problems and thereby improve the decision In making decisions in a technified environment, we can observe that technology contributes greatly in the educational field since it allows the integration of science and technology through processes that range from planning, evaluation to the monitoring of contributions of great importance that help to improve productivity and efficiency. Hence, our focus is directed to the area of computing specifically in relation to intelligent vision as it is a branch that is closely linked to our professional line. As we know, human beings have the natural ability to recognize the various forms of objects, when observed, their colors and characteristics can be detected without much effort and differentiated from each other. Contrary to computer science that uses various mechanisms of artificial intelligence and thereby obtain relevant information that allows them to differentiate them, however, reaching this detection may involve a diversity of processes, methods and techniques. Artificial intelligence allows us to emulate certain actions that are typical of the human being, for this reason it is currently a widely investigated area and in full swing due to its various advantages and utilities within our environment. Hence, this field of study is active due to the great challenges it entails: the detection of objects in different conditions, with different sizes and perspectives, etc. Since it allows the automation of processes, as well as better control and precision in predetermined activities. This work describes the object detection process defining the following classes: circle, square, triangle through a Python script, this programming language was selected because it adapts to the requirements and needs for the execution of our work since It is ideal for working with large volumes of data and in our case we will work with images of objects.