Domains

Industry 4.0; Industrial Solutions; Infrastructures; Cultural Heritage, Health & Wellness, Smart Cities, Security,  Transportation, Accessibility, Communication

Technologies

Robotics, Artificial Intelligence, Machine Learning, Large Language Models, Deep learning, Big Data, Neural Networks, Data mining, Edge Computing, Signal processing, Human-computer interaction, Computer Vision

Description 

The Computer Vision (CV) lab focuses on the research and development of cutting-edge applications that utilize visual data—both images and video. Our work spans a variety of tasks, including image classification, object detection, optical character recognition (OCR), and quality assessment. While we employ classical computer vision techniques such as image preprocessing, segmentation, and morphological operations, our primary focus is on modern deep learning methods. We work with state-of-the-art neural network architectures, conducting training, evaluation, fine-tuning, and adapting these models to meet novel challenges and develop innovative solutions.

Research Team Website

Domains

Industry 4.0; Industrial Solutions; Energy Systems;

Technologies

technical diagnostics; remote monitoring; anomaly detection; robotics; 

Description

DiagEn is at the forefront of research and development in technical diagnostics and automated robotic guidance. Our team dedicated to diagnostics focuses on developing advanced methods and systems, with applications that extend beyond the power generation sector. Another part of the team is focused on robotics, creating innovative vision-based robotic guidance systems, particularly for high-precision laser machining technologies.