Projects
Check out some of the solutions that Robotictech develops. IRT3D, Street Census and Light Census are our programs responsible for the work carried out.
Transmission Line Monitoring with Drone and Artificial Intelligence
We have developed software that automates the identification and classification of components in visual inspections of power transmission lines. Using videos captured by drones during inspections, the software processes the images with advanced artificial intelligence, trained to detect specific problems and recognize critical components.
As a result, the system generates a detailed report, which includes precise georeferencing of components, identification of defects and high-resolution photos of each asset. In addition, the system also identifies vegetation visible during monitoring.
The report can be organized flexibly, allowing the separation of information by transmission line or by component type, facilitating quick and accurate analysis of the inspected items.
3D scanning of machinery parts for reverse engineering
The aim of this project is to obtain, with the highest possible precision, structural data on machinery parts in accordance with the maintenance and adaptation needs presented by the company. The result obtained is not limited to a three-dimensional digital model of the scanned components, but also includes the views and cross-sections necessary for the reproduction or adaptation of the parts. To achieve this, we use high-precision 3D scanning technology using cameras and artificial intelligence. This provides a simple and intuitive interface, so that any employee with quick training can use the technology without the need for third-party assistance.
Collision Analysis in Tunnels
Dynamic 3D reconstruction, obtained with controlled-speed traffic of equipment on the tracks along the tunnels for inspection. Through simulation and computational intelligence, it is possible to study the traffic of components inside them, predicting possible collisions (regions in red) and obtaining critical structural data.
Faculty of Engineering
Topographic survey with interactive 3D model, elevation plan, vegetation health estimate and orthophoto (4K) of the Faculty of Engineering of the Federal University of Juiz de Fora (UFJF).
