BATISTA, M. O.; http://lattes.cnpq.br/0807853731908405; BATISTA, Marina Oliveira.
Resumo:
The digital transformation driven by Industry 4.0 establishes a new industrial
conĄguration, characterized by the presence of intelligent automation. In this
context, smart factories emerge as connected, autonomous, and adaptive production
environments capable of adjusting processes in real time to respond to dynamic
manufacturing conditions. This work presents the development of an event-driven
control system for a smart factory, utilizing visual feedback and a distributed
programming structure with the Robot Operating System (ROS). The system was
designed to capture and process visual data using a Kinect camera and ArUco
Ąducial markers for validation, aiming to provide adaptive and efficient automation
within the Smart Factory laboratory at the Federal University of Campina Grande
(UFCG), which is equipped to replicate smart factory activities in a controlled
environment. The implemented architecture includes an event-based model for
controlling image acquisition devices, as well as the integration of a behavior tree to
manage camera operations and monitor marker positions within the environment.
Simulation and testing conducted at the Smart Factory conĄrmed the systemŠs
ability to respond to visual events, promoting the Ćexible automation required in
the context of Industry 4.0.