(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; PENEDO, Jorge Eduardo Santos; PALADINI, Edson Pacheco
Python-based software designed to classify defects in PCB manufacturing using Convolutional Neural Networks (CNN). Applied in Industry 4.0 environments, the system improves fault detection efficiency and reliability in production lines through intelligent pattern recognition.
