Abstract: Visual Detection of Elongated Objects: The application of computer vision to industrial inspection poses a unique challenge in identifying elongated objects that extend beyond the image frame. This lecture offers a comprehensive overview of detection and segmentation techniques, with a particular emphasis on recent advancements in deep learning-based approaches. Throughout the lecture, we delve into the capabilities of these algorithms, showcasing their potential in enhancing the inspection of pipelines and powerlines. By doing so, we aim to demonstrate how these advanced techniques can substantially reduce the human workload and alleviate stress in industrial inspection processes.
Lecturer Short CV: Dimitrios Psarras received the B.Sc. degree in Physics from the Aristotle University of Thessaloniki in 2021. Dimitrios is currently a research assistant at the Artificial Intelligence and Information Analysis laboratory, in the Department of Informatics, Aristotle University of Thessaloniki, Greece. His current research interests include the areas of machine learning and computer vision for autonomous systems.