(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) LUNIERE, Hallisom; SANTOS, Eliton Smith dos
This dissertation proposes the development of an intelligent drying and curing system for self-adhesive labels, based on Industry 4.0 technologies. The study aims to enhance performance, autonomy, and quality in the industrial manufacturing process through the implementation of artificial intelligence, IoT sensors, and embedded automation. The research adopts an applied methodology, involving prototype development, empirical testing, and system modeling. The results indicate significant improvements in humidity control, process time reduction, and energy efficiency. The proposed system proves feasible and promising for companies in the Manaus Industrial Hub involved in label and sticker production.
