We kindly ask for your permission to transfer your personal data to those exhibitors and providers whose company presentations and lectures you visit digitally during VISION 2026. With your permission, we will forward extracts of your registration information (salutation, name, e-mail address, position, company/enterprise) to the respective exhibitor/provider for purposes of contacting you and for advertising. We may also transfer information about the length of your stay on the respective websites as well as actions carried out there (such as clicks and downloads). The data transfer will take place after the digital trade fair has been closed.
The legal basis for this is your consent (Art 6 para. 1 lit. a General Data Protection Regulation (DSGVO)).
A given consent can be revoked at any time with effect for the future. The revocation is possible in the data protection settings in your profile.
Your data will be transferred exclusively to those exhibitors/providers whose company presentations and lectures you visit digitally.
The further processing of your data is the sole responsibility of the respective exhibitor/provider to whom the data is transferred.
For further information about the handling of your data by Messe Stuttgart, please go to www.Messe-Stuttgart.de/Datenschutz
Scientific VISION Days
![[Translate to English:]](/vision/fileadmin/media/02-programm/Scientific_VISION_Days_2024/vision-2024-scientific-vision-days-lecture-forum-ait-210.png "Scientific VISION Days")
The Scientific VISION Days are the established lecture series of the AIT Austrian Institute of Technology and its partners at the VISION – the world's leading trade fair for machine vision.
Experts from science and applied research present cutting-edge technologies in the field of machine vision. This year's topics include 3D Vision, High Speed Imaging, Inline Computational Imaging, Deep Learning and the testing of machine vision systems.
Number of videos: 10
1
13:33
Evaluation of high-precision measurement principles using Deflectometry and wave-front sensors
2
4:27
Ultra Compact Controller platform for smart logistics sorting system
3
9:23
Advanced Industrial Inspection Using Zero Gravity 3D Technology
4
10:50
Zero defect manufacturing for thin film photovoltaics
5
18:26
What Is New About Release 4.1 of the Standard EMVA 1288?
6
14:35
Visual Inspection of Transparent Objects with Light Fields
7
10:32
Localization of Fabrics with Computer Vision for Composite Manufacturing
8
12:37
Sensor realistic synthetic data generation
9
14:08
Perception for Logistics Operations in the Unstructured World. Mastering the last mile delivery
10
17:47
3D Metrology of an Underground Man-Made Cave“Erdstall” Using Optical Mobile Sensors
Number of videos: 10
1
4:27
Ultra Compact Controller platform for smart logistics sorting system
2
14:12
The lens as a key factor in challenging imaging applications
3
15:28
Landscape of Synthetic Images for MV
4
15:28
Advancing 3D Vision for Robotic Handling of Transparent and Occluded Objects
5
11:36
Digital Twins in Machine Vision Applications
6
15:12
Novel Multisensorial, Robotic and High Content Screening Microscope
7
16:53
Visual Quality Inspection Planning: Enhancing Performance through Robotics & Computer Vision Synergy
8
12:56
Image based metrology through talbot-diffracted shadow imaging
9
13:53
Maximizing Inspection Accuracy: Bridging gaps with advanced AI algorithms and generative models
10
17:29
Synthetic Data Generation for AI-Based Automation in Quality Inspection and Object Detection
Number of videos: 9
1
13:44
2D MONITORING IN ARC WELDING SCENARIOS
2
11:41
From Reliable Scene Understanding to Enhanced 3D Reconstruction
3
15:26
DrapeBot Collaborative Draping of Carbon Fiber Parts
4
15:38
Sensor-based sorting technology in the recycling industry
5
14:19
Neuromorphic Machine Vision for Industrial Automation
6
14:31
Optical Determination of Rotation Angle and Torque Using Feature-Based Image Matching
7
13:54
SUPER-FAST LINE SCANNING WITH A VIRTUAL LINE RATE GREATER 1 MHZ
8
14:26
Prospects of Deep Learning for Surface Inspection in the Presence of Synthetic Data
9
15:38
Inline defect Classification using photometric stereo for Battery Electrode Production
Presentations
3D Scanning in Plasma Arc Welding Scenarios | Eugui Pablo, AIT (PDF, 2 MB)
Landscape of Synthetic Images for Machine Vision | Gospodnetic Petra, Fraunhofer ITWM (PDF, 4 MB)
Digital Twins in Machine Vision Applications | Wanner Sven, Artificial Pixels (PDF, 5 MB)
Image-Based Metrology Through Talbot-Diffracted Shadow Imaging | Maamari Nadim, CSEM (PDF, 3 MB)
