Browsing by Author "SOUZA, Carlos Alberto Collozzo de"

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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: UNIFEOB
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-12) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco de; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; GONÇALVES, Carlos Eduardo Couto; TARDELLI, Diego Furlan; RODRIGUES, Fábio Mota; INÁCIO, Letícia Vieira; FERNANDES, Pedro Rufino; MOREIRA, Vinicius Altero
    In the Robotics module of the Computer Science course, the proposal for the Extension is sustainable and inclusive solutions through the use of robotic automation. In this project, we use the sustainable goal (SDG) – from the UN – of Industry, innovation and infrastructure (SDG 9). The objective is to create a “lumberjack” robot, responsible for collecting wood that ideally in addition to collection, it will separate the material in designated spaces, so autonomous, reducing the impact of harmful practices and increasing the efficiency of this type of transport. The designed robot is on a reduced scale of what would be used to actually perform this task, thus being a prototype for academic purposes.The project will use diverse knowledge from the study units covered in module. They are: Robotics, under the responsibility of Prof. Marcelo Ciacco de Almeida, introducing us to robotics knowledge for assembling the robot, identifying movements, classification and possible calculations; Machine Learning, under the responsibility of Prof. Rodrigo Marudi de Oliveira, introducing us to the development of learning machine that controls the robot, and bridging the Differential and Integral Calculus unit, of responsibility of the Prof. Carlos Alberto Collozzo de Souza; and Linear Algebra and Geometry Analytics, also the responsibility of Prof. Carlos Alberto Collozzo de Souza, who introduces algebraic notions related to the general movement of the robot, such as drivability and the movement of the robotic arm. Through this project, we developed an autonomous machine prototype, equipped with computer vision and robotic arms, capable of identifying, locating and collecting different types of raw materials in complex industrial environments. This innovative solution promises significantly increase the efficiency of production processes, reduce operating costs and ensure greater safety for workers by automating repetitive and potentially dangerous
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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: BOMBERBÔ
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-11) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco de; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; DALOCA, Diogo; FURLANETTO, Fernando; NEUBERGER, Geovana; HENRIQUE, Gustavo; ZANELLI, Kayque; BARREIRO, Lucas
    In recent years, the intensification of forest fires has had consequences devastating effects on the environment and society, generating irreversible destruction in ecosystems, threatening biodiversity and putting the health and safety of nearby communities. The release of polluting gases during these fires contributes to the worsening of global warming, creating a destructive cycle that affects the planet as a whole. Faced with this worrying scenario, there is a need to seek solutions practical and sustainable ways to monitor and combat forest fires, in order to preserve natural resources and protect the environmental balance. This scenario raises a reflection on the role that technology can play in safeguarding the environment and mitigating the effects of climate change. As community, we are increasingly aware of the importance of creating solutions that not only solve urgent issues, but which are also aligned with a perspective of more sustainable and inclusive future. Questions such as "How can we employ technology to safeguard the environment?" and "How can innovations help us face global issues in an ethical and efficient manner?" become crucial. This Integrated Project has aims to develop an autonomous robot, specifically designed to combat forest fires.The robot was designed to function autonomously, equipped with technologies that make it possible to identify fire outbreaks, monitor the environment and intervene directly in fire suppression. Your proposal is in line with the objectives of UN Sustainable Development (SDG) as the UN Development Goal Sustainable 13 (Action against Global Climate Change) and the Sustainable Development Goal Sustainable Development 15 (Life on Earth), which emphasize the importance of environmental preservation and effective measures to reduce environmental impacts. Like this, the project aims not only to develop an innovative and effective solution to the fight against fire, but also reinforce the commitment to forest conservation and environmental preservation. In short, more than a simple technological innovation, this project seeks promote a new way of thinking about the relationship between technology and the environment. To the integrate advanced tools into a practical and accessible application, the robot represents a significant contribution to environmental preservation, encouraging awareness greater awareness of collective responsibility in protecting natural ecosystems. Therefore, the creation of this robot represents a significant advance not only in the area of ​​automation, but also in promoting an environmentally conscious perspective, dedicated to the preservation of forests and the preservation of vital resources for future generations.
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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: GRUPO MALPA
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-11) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco de; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; SILVA, Bruno Cardoso; GASPAR, Igor Gabriel Moraes; MELO, Igor Guilherme dos Reis; SANTOS, Luciano Aimon Ottoni; PINTO, Matheus Souza; OBLONCZYK, Vinycius Gabriel
    The project “Robotic Automation: Sustainable and Inclusive Solutions” has The objective is to develop an autonomous robot that contributes to the UN Sustainable Development (SDG). Using a Raspberry Pi 4 as base platform, the robot will be equipped with a hover system for mobility efficient and a robotic arm for manipulating objects. Integrating techniques machine learning and computer vision, it will be able to recognize different types terrain and operate autonomously in varied environments. The main function of the robot will be to identify and collect small waste, promoting the cleaning of urban and natural spaces, contributing to the environmental sustainability (SDG 11). The project also had the support of company 3D-Aimon, which sponsored the manufacturing of essential parts for the robot by means of 3D printing, ensuring light, resistant and personalized components for the solution. This partnership allowed the application of knowledge in Robotics, Machine Learning, Linear Algebra, Analytical Geometry and Differential Calculus, aligning technological innovation with practical solutions to global challenges, such as care for the environment and the promotion of more sustainable cities.
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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: ROBOSORT 360: SISTEMA AUTOMATIZADO DE IDENTIFICAÇÃO E CLASSIFICAÇÃO DE OBJETOS COM MACHINE LEARNING
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-12) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; FILHO, Altair dos Santos Santana; BATISTA, Diogo Henrique; AUGUSTO, Iago Matheus Alves; ELIZEU, João Vitor; SANT´ ANNA, Leonardo Enrico da Silva; SOUZA, Maria Clara Parreira de
    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.
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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: TECNOAGRO
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-12) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco de; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; CUNHA, Caio Grilo da; MORONI, Gian Carlos de Freitas; CALIARI, Haryel Araújo de Oliveira; KANEKIYO, Jackeline Ayumi
    The object of this project consists of the development of a robot assistant sustainable agriculture, an innovative autonomous system that aims to optimize agricultural practices through advanced technologies. Aligned with the Sustainable Development Goal (SDG), a worldwide appeal to make planet Earth prosperous (UN, 2015). The proposal meets the following SDGs: Zero Hunger and Sustainable Agriculture (SDG 2), Consumption and Responsible Production (SDG 12) and Land Life (SDG 15). The robot will be able to identify and remove diseased plants with high precision, reducing the need for manual interventions and the use of chemical inputs, promoting thus a more sustainable and efficient approach to plantation management.Automation in agriculture has benefited from learning technologies machine and robotics to improve processes and optimize plant management. An example is the development of robots with advanced capabilities to identify and remove plants sick. This system follows a two-step approach: identification of diseased plants and precise removal of these plants. In the first step, the system is designed to identify diseases in plants specific, using machine learning. Convolutional neural networks (CNNs) are especially efficient for this purpose due to their ability to learn and recognize complex visual patterns (LeCun et al., 2015). These networks have been widely used in agriculture for tasks such as detecting diseases in crops, in which can analyze visual characteristics of diseases, such as spots and changes in leaf coloration (Ferentinos, 2018). The robot's cameras capture images in time real life of plants, which are then analyzed by CNNs to identify signs of diseases with precision. The training database used contains images of healthy and sick, which allows the system to distinguish with high accuracy between healthy plants and plants with signs of disease such as yellowing leaves, spots and wilting (Mohanty et al., 2016).
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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: UNIFEOB
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-12) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco de; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; VALIM, Arthur Tavares de Paula; FRANCO, Bruno Henrique do Prado; SILVA, João Vitor da; MUNIZ, Kamily de Oliveira; GARINO, Leonardo Santello; PEREIRA, Luiz Felipe dos Santos; FERREIRA, Marcos Valverde de Mira
    With the world increasingly focused on sustainable practices, the search for new technologies that contribute to the preservation of the environment have become a global priority. In this context, the group decided to focus on an innovative solution for waste management, one of the great challenges of modern society. The central idea was develop a robot that not only facilitates the garbage collection process, but also directly contribute to the creation of a cleaner and more sustainable environment. This project proposes the creation of an autonomous robot, capable of moving and collecting garbage automatically. The technology developed allows the robot to identify, collect and store waste, providing a practical solution for urban and industrial. In addition to optimizing waste collection, this innovation contributes to the preservation environment, helping to reduce pollution and promoting more efficient management of solid waste. As the FIA ​​website states, (2024) “By adopting sustainable practices, we design a more prosperous future, with biodiversity, respect for the environment and wealth shared. [...]”.The development of this robot was possible thanks to the application of a series of knowledge acquired throughout this course, especially in the Robotics disciplines, Machine Learning, Linear Algebra and Analytical Geometry and Differential and Integral Calculus. Each of these areas provided a solid foundation for project advancement, from control from autonomous movements to the creation of code for object detection. That interdisciplinary knowledge was essential for the success of the proposed solution
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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: UNIFEOB
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-11) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco de; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; SILVA, João Vitor de Lima Pacheco da; SILVA, Renan Alves da; SOARES, Vitor Antonio Rotha; OLIVEIRA, Willian Machado de
    Our company focuses on SDG 8, which seeks to promote economic growth sustained, inclusive and sustainable, with full and productive employment, in addition to work decent for everyone. In this context, the robotic prototype to be developed must act as a facilitator in an area that directly contributes to the achievement of these objectives, promoting innovative solutions that contribute to the creation of safer working environments inclusive and sustainable. The proposal, therefore, aims not only at technological development, but also at commitment to social and environmental responsibility, ensuring that robotic automation contribute to building a fairer and more sustainable future. The development of the robot will be oriented to directly meet the needs established by SDG 8, more specifically with regard to promoting a inclusive and sustainable economic growth. From this, the robot can be designed to act in several areas, from the automation of repetitive and dangerous tasks, which can reduce risk of work accidents, to support in activities that promote the inclusion of people with disabilities in the labor market.This project consists of the development of a mechanical arm specialized in carry out soldering at fixed points on circuit boards. The main structure of the project involves a movement base in a Cartesian plane, allowing the arm to move in a need for different soldering points. Welding will be carried out with the aid of a welding system. local tin supply, ensuring process efficiency and continuity. The ultimate objective is to create an efficient system capable of performing welding with high precision on circuit boards with an increasing level of autonomy due to the integration of machine learning techniques
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    Projeto Eco Return: uma abordagem inovadora para a sustentabilidade e gamificação na logística reversa
    (Fundação de Ensino Octávio Bastos, 2023-11-30) SANTANA FILHO, Altair dos Santos; BATISTA, Diogo Henrique; AUGUSTO, Iago Matheus Alves; SOUZA, Maria Clara Parreira de; CIACCO, Marcelo; MASCHIETTO, Luis Gustavo; OLIVEIRA, Rodrigo Marudi de; SOUZA, Carlos Alberto Collozzo de; SANTOS, Mariângela Martimbianco
    This document presents a detailed overview of the EcoReturn project, from its conception and architecture to the game mechanics implemented to encourage the adoption of sustainable behaviors. We will cover requirements analysis, the implementation of gamification with narrative, lexical and syntactic analysis, as well as a user journey map. In this way, the EcoReturn project emerges as a response to the growing challenge of reverse logistics in a world that is focused on sustainability and environmental responsibility. Proper disposal of used packaging and materials, as well as promoting responsible production practices, have become crucial elements in the quest for a more sustainable future. EcoReturn is not just an application, but a movement towards a greener world, where the act of returning empty packaging is rewarded, where companies can stand out as leaders in responsible practices and where the community comes together for a healthier environment. This documentation will describe in detail how EcoReturn achieves these goals and uses gamification to engage and motivate both consumers and companies to participate in this journey.
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    Projeto Integrado - Engenharia Civil - Solos e Recursos Hídricos - Sistema de Drenagem Pluvial - Edificação em Área do Campus
    (2024-06-30) CRUZ, Admarkrem Stepant da; SOUZA, Carlos Alberto Collozzo de; BIANCHETTI, Fernando Cesar; TORRES, Karingthon Wilker; SALDANA, Edwin Antonio Aranda; BRANDT, Claudia
    Nossa equipe teve como meta os estudo para a compreensão do comportamento hidrológico dos solos e os conceitos básicos de hidrologia desenvolvendo técnicas, experimentos e análises para transformação de dados em indicadores visando solucionar problemas relacionados aos temas propostos nas unidades de estudo com intuito de minimizar impactos ambientais causados pelo desenvolvimento humano e incentivar o crescimento urbano sustentável integrando sistemas de drenagem pluvial aos projetos de edificações desenvolvidos.
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    Projeto Integrado - Engenharia Civil - Topografia - Levantamento Topográfico e Propostas de Intervenções
    (2024-04-30) CRUZ, Ademarkrem Stepant da; SOUZA, Carlos Alberto Collozzo de; BIANCHETTI, Fernando Cesar; TORRES, Karingthon Wilker; SILVA, Leandro de Abreu; SOUZA, Carlos Alberto C. de; TEIXEIRA, Júlia
    Nossa equipe foi contratada para fazer um levantamento topográfico afim de elaborar uma proposta de intervenção na área frontal do campus com o objetivo de utilizar seu potencial comercial. A intervenção topográfica contemplará uma análise e movimentação de terra.
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    Score Fit - Sistema de Saúde e bem estar com gamificação: UNIFEOB
    (Fundação de Ensino Octávio Bastos, 2023-11-30) ELIZEU, João Vitor; ANNA, Leonardo Enrico da Silva; MARCHI, Leonardo Magalhães; INÁCIO, Leticia Vieira; CIACCO, Marcelo; MASCHIETTO, Luis Gustavo; OLIVEIRA, Rodrigo Marudi de; SOUZA, Carlos Alberto Collozzo de; SANTOS, Mariângela Martimbianco
    This project seeks to address the growing demand for technological solutions that increase the motivation and engagement of physical exercise practitioners, establishing a more solid connection between users and their instructors. With Score Fit, the main functionality lies in generating a score based on pre-established goals, providing a tangible incentive system.