Thiago D'Angelo

TL;DR: The preliminary results indicate that using a signal processing technique, the existing roller inspection techniques are able to identify roller failures automatically and a novel approach based on an Unmanned Aerial Vehicle (UAV) integrated with a thermal imaging camera is presented.

TL;DR: A wearable appliance for geology is developed that contains a Head Mounted Display assembled with Google Cardboard API and sensors connected to developments boards and indicates some trends for wearable operating systems.

TL;DR: A new experience with project-based learning involving the design and development of a low-cost robot manipulator with six degrees of freedom, to motivate undergraduate students in the Robotic Elements Course of Automation and Control Engineering, and Mechanical Engineering, of Escola de Minas at the Universidade Federal de Ouro Preto.

TL;DR: This work proposes a new system capable of running the detection of defective rollers in real time and with better precision and recall metrics than those of previous works, based on the YOLOv2 deep learning architecture.

TL;DR: This paper overviews wearable architectures found in the literature and presents a novel wearable for monitoring ecological environments that includes a Head-UP Display assembled with Google Cardboard API and sensors connected to a development board.