Application of Deep Learning and Computer Vision techniques in an RD&I - Research, Development, and Innovation project to measure operations KPIs in an oil rig. In charge of developing models to do automatic extraction, analysis, and understanding of useful information from videos.

Created a calibration method for gyroscopes and accelerometers of an IMU – InertialMeasurement Unity – using an industrial robot. Developed a C++ application to control the robot in real-time, collect the data, and execute an offline optimization. CNPQ provided a scholarship and funds for this project. (C/C++, RTAI, Matlab, Bash, genetic algorithms, robotics kinematics).