Scientific VISION Days
Scientific VISION Days: Research meets industrial image processing
The Scientific VISION Days are the established series of talks organised by the AIT Austrian Institute of Technology and its partners at VISION in Stuttgart, the world’s leading trade fair for image processing. This is where cutting-edge research, applied science and industrial practice come together. Experts present new technologies, scientific findings and practical solutions for industrial image processing.
Cutting-edge research for the image processing of tomorrow
How can image processing systems be made even more precise, faster and more powerful? Which technologies enable reliable inspection processes in production? And how can research findings be successfully translated into industrial applications?
The Scientific VISION Days provide answers to these questions and offer a concise overview of key developments in computer vision, machine vision and industrial image processing. The presentations demonstrate how new methods and technologies improve existing processes, make production workflows more efficient and enable new applications in quality assurance, automation and inspection.
Programme for the Scientific Vision Days
The programme of talks focuses on current and forward-looking topics in image processing:
- 3D Vision: Methods and applications for the three-dimensional capture, measurement and inspection of objects
- High-Speed Imaging: High-speed imaging for dynamic processes and demanding production environments
- Inline Computational Imaging: Computer-aided imaging for automated inspection directly within the production process
- Deep Learning: Modern AI methods for robust image analysis, object recognition and quality control
- Testing of image processing systems: Methods for the evaluation, validation and reliable performance testing of industrial vision systems
Use our online search to explore the full programme and plan your visit to VISION.
You can also download the programme as a PDF here:
Download programme (PDF, 1 MB)
