technologies of vision
Technologies of Vision (TeV) is a Research Unit included in the Digital Industry Center of Fondazione Bruno Kessler. The TeV team has been conducting research into Computer Vision, Image Analysis and Visual Pattern Recognition since 1986. Our activities range from fundamental research to development and experimentation activities, with the aim of advancing research in computer vision and boosting the technology readiness level of application in industrial scenarios, all with a system-level perspective.
In line with the mission of FBK, which aims to achieve results of scientific excellence and to produce an impact on society, the strategic vision of the TeV research unit revolves around the fundamental values of the Digital Industry Center: scientific excellence and an orientation towards solutions for industrial problems.
More specifically, TeV's mission is to find/create solutions for problems in domains such as safety in industrial environments, object recognition for robotic manipulation, and digital twins to replicate complex processes, by applying scientific results gained from our research in Computer Vision.
Computer Vision is a non-invasive technology that aims to extract knowledge from visual data. TeV's research focuses on the study and development of innovative techniques for understanding visual inputs with explainable Computer Vision methods. The topics currently covered are:
ABOUT FBK and DI CENTER
Bruno Kessler Foundation (FBK) is a top Research Institute in Italy, with a community of over 400 researchers and 120 doctoral students; organized in 2 scientific hubs dedicated to technology and to human and social sciences. FBK aims to excel in science with a particular emphasis on interdisciplinary approaches and social impact.
The Digital Industry Center is one of the Centers of the Bruno Kessler Foundation (FBK). It focuses its research on digital technologies for various domains in industry by creating applications for critical systems, adaptive and autonomous systems, advanced perception, diagnostics quality control and prediction systems. Further research areas include precision farming, robotics, metrology, cultural heritage (in particular 3D modeling) and geomatics.