AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: ROBOSORT 360: SISTEMA AUTOMATIZADO DE IDENTIFICAÇÃO E CLASSIFICAÇÃO DE OBJETOS COM MACHINE LEARNING

Abstract

This document makes reference to the Integrated Project (PI) entitled "Automation Robotics: Sustainable and Inclusive Solutions", whose central objective is to develop a automated robot that integrates machine learning and computer vision. The purpose is to create a solution that contributes to sustainable development, aligning with the Objectives of Sustainable Development (SDGs) proposed by the UN, focusing on the areas of sustainability, innovation and inclusion. The developed robot, named RoboSort 360, aims to solve automatic identification and classification of objects in a controlled environment. He will be used to promote the automation of industrial processes, contributing to the SDG of Industry, Innovation and Infrastructure. This SDG focuses on building infrastructure resilient and promoting sustainable innovation, directly aligning with the proposal of this project, which combines robotics with machine learning to create an efficient and flexible.The team is applying the knowledge acquired in the Robotics disciplines, Machine Learning, Linear Algebra and Analytical Geometry and Differential Calculus and Full. The proposal involves the development of a robotic prototype that integrates hardware and software, capable of identifying geometric shapes based on their physical characteristics, such as color and shape, and to classify these shapes into different compartments according to your specifications. RoboSort 360 aims not only at automation and efficiency, but also at creating technological solutions that can be applied in an inclusive and sustainable way, contributing for innovation in industry and infrastructure, in line with the principles of the SDGs.