APPLICATION OF ARTIFICIAL INTELLIGENCE AND IOT TECHNOLOGIES IN THE MODERNIZATION OF PRINTED CIRCUIT BOARD INSPECTION: A STUDY IN THE INDUSTRIAL POLE OF MANAUS

Abstract

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, which 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 visualization of inspection data. 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 Pole, highlighting competitive benefits and ways to overcome technological challenges in the sector.