Fred Couweleers

CLS Technology (Norway)

Papers

1

Total Citations

4

H-Index

1

About

Fred Couweleers is a specialist in industrial machine vision and optical metrology, with a primary focus on in-line quality control for manufacturing. His most cited work, "In-line geometric fault detection in car parts based on structured light projection and image processing" (2003, 4 citations), introduces a robust inspection system that replaces manual checks in automotive production lines. By combining Gray code and phase shifting with structured light projection, and using standard CCD cameras and data projectors, Couweleers developed a method for generating high-resolution height measurement images. This contribution is notable for its practical, real-world application—enabling automated, non-contact detection of geometric faults in car parts directly on the production floor. While his citation count is modest, the work reflects a focused engineering achievement: bridging advanced optical techniques with industrial automation to improve quality assurance. Couweleers’ research underscores the value of applied vision systems in reducing human error and increasing throughput, making his contributions relevant to engineers and researchers in manufacturing, computer vision, and optical inspection.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
In-line geometric fault detection in car parts based on structured light projection and image processing
4 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: CLS Technology (Norway)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago