D7.4 - Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing
- Event
- SMSI 2023
2023-05-08 - 2023-05-11
Nürnberg - Band
- Lectures
- Chapter
- D7 - Al Approches in Measurement
- Author(s)
- M. Hieb, I. Gräßler - University of Paderborn, Paderborn (Germany)
- Pages
- 253 - 254
- DOI
- 10.5162/SMSI2023/D7.4
- ISBN
- 978-3-9819376-8-8
- Price
- free
Abstract
Manufacturing companies face the challenge of reaching required quality standards. Using optical sensors and deep learning might help. However, training deep learning algorithms require large amounts of visual training data. Using domain randomization to generate syn-thetic image data can alleviate this bottleneck. This paper presents the application of synthet-ic image training data for optical quality inspections using visual sensor technology. The re-sults show synthetically generated training data are appropriate for visual quality inspections.