Departamento de Ensino Superior
URI permanente desta comunidadehttps://ri.ifam.edu.br/handle/4321/956
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2 resultados
Resultados da Pesquisa
Trabalho de Conclusão de Curso Sistema de inspeção de bateria de lítio em placas eletrônicas: uma proposta a partir da integração de CLP e aprendizado de máquina(2025-09-16) Dutra, João Victor Pontes; Ribeiro, João Bernardo Aranha; http://lattes.cnpq.br/9027441032059817; Gadelha, Vitor Fernando de Souza; http://lattes.cnpq.br/4283627740352016; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467The objective of this work is to develop a lithium battery inspection system based on the integration of Programmable Logic Controllers and Machine Learning, identifying advantages, disadvantages, and challenges associated with meeting the needs of industrial facilities. The project seeks to use low-cost materials and technologies, ensuring its economic viability and ease of construction. The innovation of the work lies in the adaptation of organizational needs, using Industry 4.0 tools, providing a practical, efficient, and assertive solution. Thus, the proposed system aims to address these aspects, offering an accessible solution for detecting assembly, optimization, and quality failures. The system inspection is based on a supervised learning that detects the battery via webcam and then compares the captured image with the model created from the OK and NG datasets. Therefore, the difference between the two results in an approved or rejected result for the part. The developed system performed well in its inspections during testing and validation. In addition, the work designated the observation of this integration in other segments, instigating opportunities and improvements for effective advancement. Therefore, the study concluded that, despite the significant challenges to implementing AM in PLCs, the integration shows promise for optimizing operational efficiency, flexibility, data transmission, cost reduction, and decision-making support in companies with limited resources and a need for modernization.Trabalho de Conclusão de Curso Sistema de detecção de capacete baseado em inteligência artificial(2023-03-24) Ramos, Arthur Cabral; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Costa, Jaidson Brandão da; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143This work aims to develop a system based on machine learning that controls access to areas where the use of helmets as personal protective equipment is mandatory. The project was developed is three main stages: data selection, training and testing. The project used low-cost hardware and free software. The developed system used Python as a programming language in all stages and TensorFlow as the main tool. The operation occurs through a code written in Python that evaluates whether the use of the helmet is being carried out, if the answer is positive, it triggers a device that grants access, in the project the device is represented by an LED.