Die Vortragsreihe des AIT Austrian Institute of Technology
Wissenschaftliche Exzellenz präsentiert auf der Messe VISION, Stuttgart
AIT STAND | Halle 8 C50
Die SCIENTIFIC VISION DAYS sind die etablierte Vortragsreihe des AIT Austrian Institute of Technology und seiner Partner. Expert:innen aus Wissenschaft und angewandter Forschung präsentieren Spitzentechnologien rund um das Thema Machine Vision.
Die Scientific Vision Days Vortragsreihe bildet zusammen mit den Industrial Vision Days das Vortragsformum der Messe VISION und bietet eine Plattform für den Austausch zwischen führenden Köpfen aus Wissenschaft und Industrie.
Scientific Vision Days Programm 2024
Dienstag, 08.10.2024
| 10:00 | Evaluation and Qualification of High-Precision Measurement Principles Using Deflectometry and Wavefront Sensors for Optical Parts and Components | Thomas Reitberger | MicroEpsilon |
| 10:20 | Ultra Compact Controller Platform for Smart Logistics Sorting System | Tran Nguyen Dung | NODKA |
| 10:40 | Advanced Industrial Inspection Using Zero Gravity 3D Technology | Javier Perez Soler | ITI |
| 11:00 | Zero Defect Manufacturing for Thin Film Photovoltaics | Laurin Ginner | AIT |
| 11:20 | What Is New About Release 4.1 of the Standard EMVA 1288? - Adaption to Modern Image Sensors | Bernd Jähne | IWR Heidelberg Univ. & EMVA |
| Lunch Break | |||
| 13:00 | Visual Inspection of Transparent Objects with Light Fields | Johannes Meyer | Fraunhofer IOSB |
| 13:20 | Localization of Fabrics with Computer Vision for Composite Manufacturing | Christoph Frommel | DLR |
| 13:40 | Sensor Realistic Synthetic Data Generation | Andreas Frommknecht | Fraunhofer IPA |
| 14:00 | Perception for Logistics Operations in the Unstructured World | Markus Murschitz | AIT |
| 14:20 | 3D Metrology of an Underground Man-Made Cave „Erdstall“ Using Optical Mobile Sensors | Kurt Niel | FH Wels |
Mittwoch, 09.10.2024
| 10:00 | 3D Scanning in Plasma Arc Welding Scenarios | Pablo Eugui | AIT |
| 10:20 | The Lens as a Key Factor in Challenging Imaging Applications | Steffen Mahler | Schneider-Kreuznach |
| 10:40 | Landscape of Synthetic Images for Machine Vision | Petra Gospodnetic | Fraunhofer ITWM |
| 11:00 | Advancing 3D Vision for Robotic Handling of Transparent and Occluded Objects | Svorad Stolc | Photoneo |
| 11:20 | Digital Twins in Machine Vision Applications | Sven Wanner | Artificial Pixels |
| Lunch Break | |||
| 13:00 | A Novel, Multisensorial, Robotic, High-Content Screening Microscope | Costas Balas | Spectricon & TUC |
| 13:20 | Visual Quality Inspection Planning: Enhancing Performance Through Robotics and Computer Vision Synergy | Vanessa Staderini | AIT |
| 13:40 | Image-Based Metrology Through Talbot-Diffracted Shadow Imaging | Nadim Maamari | CSEM |
| 14:00 | Maximizing Inspection Accuracy- Bridging Gaps with Advanced AI Algorithms and Generative Models | Hongsuk Lee | Neurocole |
| 14:20 | Synthetic Data Generation for AI-Based Automation in Quality Inspection and Object Detection | Ira Effenberger | Fraunhofer IPA |
Donnerstag, 10.10.2024
| 10:00 | 2D Monitoring in Arc Welding Scenarios | Tomasz Michno | AIT |
| 10:20 | From Reliable Scene Understanding to Enhanced 3D Reconstruction | Stefano Gasperini | VisualAIs & TUM |
| 10:40 | Multi-Modal Vision Sensors for Process Control of Carbon Fibre Parts Manufacturing | Christian Eitzinger | Profactor |
| 11:00 | Sensor-Based Sorting Technology in the Recycling Industry - an Overview | Alexander Eckert | AIT |
| 11:20 | Advanced Visual Inspection: Deep Learning and Neuromorphic Vision | Luigi Malago | Quaesta |
| Lunch Break | |||
| 13:00 | Optical Determination of Rotation Angle and Torque Using Feature-Based Image Matching | Eike Lorenz | IPH Hannover |
| 13:20 | Super-Fast Line Scanning with a Virtual Line Rate Greater than 1 MHz | Ernst Bodenstorfer | AIT |
| 13:40 | Prospects of Deep Learning for Surface Inspection in the Presence of Synthetic Data | Juraj Fulir | Fraunhofer ITWM |
| 14:00 | Inline Defect Classification Using Photometric Stereo in Battery Electrode Production | Christian Kapeller | AIT |
Medienkooperation mit “inspect”
Medienpartner der SCIENTIFIC VISION DAYS ist das Fachmagazin “inspect - world of vision”. Die inspect ist die führende Fachzeitschrift für angewandte Bildverarbeitung und optische Messtechnik und deckt mit ihren gedruckten sowie digitalen Ausgaben jeweils gezielt den DACH-Raum, Europa sowie Nordamerika ab. Das Magazin wird von Ingenieur:innen und Expert:innen gelesen, die über den Einsatz und die Beschaffung von Komponenten, Produkten und Technologien entscheiden.
