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Aplicação de Tecnologias de Inteligência Artificial e IoT na Modernização da Inspeção de Placas de Circuito Impresso: Um Estudo no Polo Industrial de Manaus
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOARES, Karen Kettelen Souza; GUIMARÃES, Gil Eduardo; MARINELLI FILHO, Nelson; SCHMIDT, Fabricio Carlos; CORREA, Geraldo Nunes; LEITE, Jandecy Cabral
The digital transformation driven by Industry 4.0 has fostered the integration of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) to revolutionize industrial processes. This study presents the development of an innovative Automated Optical Inspection (AOI) solution that combines deep learning algorithms, IoT, and cyber-physical systems to identify and classify defects in printed circuit boards (PCBs). The methodology covered the design of dedicated hardware, specialized software, and the creation of an interactive dashboard for real-time inspection data visualization. The results demonstrated significant advances in process efficiency and accuracy, as well as a notable reduction in failure rates. This work reinforces the potential of adopting Industry 4.0 technologies for the modernization of the Brazilian electronics industry, especially in the Manaus Industrial Hub, highlighting competitive advantages and pathways to overcoming technological challenges in the sector.