RP-En

This project has two objectives. i) the study, development and evaluation of algorithms to be incorporated into the prototype surveillance system capable of automatically analyzing video and ii) creation, development, implementation and experimental validation of a prototype intelligent surveillance system capable of monitoring workers in regions of the oil exploration platform using visual data.

Assessment and monitoring of morbidity and mortality in municipalities affected by the rupture of Dam I of the “Córrego do Feijão” Mine

This article comprehensively reviews current techniques, models, and practices in DL-based seismic volume interpretation based on three different structural interpretation tasks: Fault interpretation, Horizon estimation, and Relative Geological Time (RGT) estimation, three complementary pillars of the geological framework.

In this project, visual data captured from environmental monitoring cameras will be used as input for analysis modules (solutions based on computer vision and machine learning to be developed). All solutions will be implemented on embedded devices with little computational power and, therefore, requiring research aimed at compressing deep models.

This project focuses on solving problems related to large-scale visual surveillance, where data is acquired from multiple surveillance cameras.