Projetos Integrados (PI) Presencial - ESCOLA DE NEGÓCIOS
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Projetos Integrados da Escola de Negócios Presencial realizados pelos estudantes em cada módulo.
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Projetos Integrados da Escola de Negócios Presencial realizados pelos estudantes em cada módulo.
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Item 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 deThis 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.Item 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 AyumiThe 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).Item 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 AlteroIn 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 dangerousItem 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 MiraWith 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 solutionItem 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, LucasIn 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.Item 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 GabrielThe 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.Item 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 deOur 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 techniquesItem SISTEMA DE GESTÃO E INTELIGÊNCIA DE NEGÓCIOS PARA ORGANIZAÇÕES SOCIAIS: UNIFEOB(Centro Universitário de Ensino Octávio Bastos, 2025-02-10) ALMEIDA, Marcelo Ciacco; ANDRADE, Nivaldo de; VALLIM, Max Streicher; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; JANDELLI, Arthur; STANGUINI, KlinsmannThis Integrated Project (IP) is developed within the scope of the Center's course Octávio Bastos Teaching Foundation (UNIFEOB) and its main objective is the creation of an intelligent system for generating personalized lesson plans for teachers, in line with the institution's academic guidelines. The system will use intelligence artificial to integrate general, specific and technical skills defined by the university, also considering the levels of Bloom's Taxonomy for a lesson plan according with the informed dates, ensuring a structured and efficient pedagogical approach. This project was designed with the purpose of innovating and optimizing academic management, promoting technological solutions that support the teaching-learning process of more effective and personalized way. Through this initiative, teachers will be able to access detailed lesson plans, adapted to curricular and pedagogical demands, ensuring the quality of teaching and the fulfillment of educational goals. The application uses modern technologies, such as Next.js in its full architecture stack, integrating front-end and back-end into a robust and scalable platform. The bank of data is implemented in Neon, a PostgreSQL solution in the cloud, while the application is hosted on an Amazon AWS EC2 instance with Ubuntu operating system. To facilitate access, the system uses the personalized domain “unifebot.tech”, registered with Hostgator.With this solution, the aim is not only to develop practical skills in the use of cloud computing technologies, but also provide an innovative tool that adds value to the academic institution. This project reinforces our commitment to practical application of knowledge and the solution of real problems, contributing to the advancement technology in the educational environment. Furthermore, the execution of this PI emphasizes important competencies such as commitment, teamwork and self-development. During development, all team members are actively involved in research, implementation and validation of the system, ensuring that the final product meets the technical and educational criteria required. Ultimately, this project seeks not only to offer a functional solution, but also open new possibilities for applying artificial intelligence in the educational context, promoting innovation and efficiency in higher education.Item SISTEMA DE GESTÃO E INTELIGÊNCIA DE NEGÓCIOS PARA ORGANIZAÇÕES SOCIAIS: LOGDEV(Centro Universitário de Ensino Octávio Bastos, 2025-02-10) ALMEIDA, Marcelo Ciacco; ANDRADE, Nivaldo de; VALLIM, Max Streicher; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; LEITE, Derik dos Anjos Alves; PERINA, José Vinícius Martins; ALVES, João Victor Saloti; RODRIGUES, Victor de Souza; BATISTA JUNIOR, Virgilio PedroThe objective of this Integrated Project is to prototype a personalized management system aimed at an animal protection NGO. This system will be designed to meet the specific needs of the organization, including adoption management, fundraising donations and monitoring of veterinary care. With a robust focus on Business Intelligence (BI), we seek to provide tools that support decision making strategies, optimizing operations and expanding the impact of the NGO in its mission. The platform will be developed on a cloud computing architecture, ensuring scalability and data availability. We will use advanced techniques database management to ensure information is always available accessible and updated, allowing better monitoring of the NGO's activities. Furthermore, our project aligns with the principles of the Development Goals Sustainable Development Goal (SDG), reflecting our commitment to a more sustainable society and inclusive. By integrating best practices in technology and management, we aim to not only master essential concepts, but also apply them creatively and responsibly to benefit the NGO and the animals it protects. At the end of this Integrated Project, we will not only be providing a solution innovative approach to managing the NGO's activities, but also contributing to the promoting animal welfare and moving towards a more sustainable and inclusive, aligning ourselves with the SDG goalsItem SISTEMA DE GESTÃO E INTELIGÊNCIA DE NEGÓCIOS PARA ORGANIZAÇÕES SOCIAIS: AGRADEF(Centro Universitário de Ensino Octávio Bastos, 2025-02-10) ALMEIDA, Marcelo Ciacco; ANDRADE, Nivaldo de; VALLIM, Max Streicher; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; PEREIRA, Betânia Amâncio; CRUZ, Gustavo A. Barboza da; SOUZA, Lavínia Dal Bello de; RODRIGUEZ, Lucas B. Simionatto; ALVES, Lucas Eduardo Cruz; FELÍCIO, Luis Gabriel BritoThe company AGRADEF, with the company name ASSOCIACAO GRUPO RIOPARDENSE FRIENDS OF THE PHYSICALLY DISABLED AGRADEF, operates with CNPJ 04.527.998/0001-38 and has its headquarters located at Avenida José Bertocco, 101 - Vila Santa Tereza, São José do Rio Pardo - SP, 13.720-000. Its main focus of activity is the activities of associations of defense of social rights, in accordance with CNAE code S-9430-8/00.” (ECONODATA, 2017, Company Consultation). The development of accessible technological solutions has become increasingly essential to promote social inclusion and people’s autonomy. In the context of this scenario, this college work presents the development of a desktop application for the Association of Gratitude for the Disabled (AGRADEF). AGRADEF is a Non-Governmental Organization (NGO) dedicated to supporting people with disabilities, offering assistance services, educational resources and social integration programs. The application was developed with the aim of optimizing the NGO's internal management, facilitating the administration of beneficiary data, program monitoring and communication between members of the organization. To build this prototype, used tools such as Figma, HTML, CSS and JavaScript, each chosen for its specific characteristics and the ability to meet the functional and project performance.In addition to these tools, the project also integrated the use of UML diagrams (Unified Modeling Language) for planning and visualizing the system structure, ensuring a clear understanding of the components and their interactions. The application of UML was crucial for modeling use cases, classes and sequence of operations, which facilitated communication between developers and alignment with project requirements customer. To improve data analysis and visualization, Power BI was used, allowing the creation of interactive dashboards that assist in decision making informed. Power BI made it possible to generate detailed reports on company activities NGOs, such as monitoring program progress and evaluating the impact of services offered to beneficiaries. These insights provide a solid foundation for continuous development and improvement of AGRADEF operations