Eva Weigl
Papers
1
Total Citations
7
H-Index
1
About
Eva Weigl is a researcher specializing in industrial quality inspection, with a focus on vision-based surface analysis for advanced composite materials. Her work addresses the critical challenge of automated defect detection on complex, three-dimensional coated surfaces, where traditional manual inspection is impractical. Her most cited paper, "Photometric stereo sensor for robot-assisted industrial quality inspection of coated composite material surfaces" (2015), introduces a novel photometric stereo approach that enhances the detection of subtle surface anomalies by leveraging multi-directional lighting and robotic integration. This contribution has garnered 7 citations, establishing a foundation for non-destructive testing in modern manufacturing. Weigl's research bridges computer vision, robotics, and materials science, offering practical solutions for industries reliant on high-performance composites, such as aerospace and automotive. Her work is notable for its direct industrial applicability, demonstrating how sensor-based automation can replace labor-intensive manual checks. For students and researchers exploring surface inspection or automated quality control, Weigl’s studies provide a compelling example of translating theoretical photometric methods into real-world, robot-assisted systems.
Research Focus
Key Achievements
Top Papers
- 1