Arjun Yogeswaran
Papers
1
Total Citations
32
H-Index
1
About
Arjun Yogeswaran is a researcher whose work sits at the intersection of computer vision, automated quality inspection, and industrial manufacturing. His primary focus is on developing intelligent systems that enhance production-line precision, with a particular emphasis on detecting and classifying surface defects in automotive body panels. His most-cited paper, "Automated surface deformations detection and marking on automotive body panels" (2010, 32 citations), proposes an integrated solution that transforms raw 3D surface images into actionable quality-control data. By automatically extracting and classifying deformations, Yogeswaran’s approach replaces manual inspection with a faster, more consistent, and scalable process—a critical advancement for high-volume automotive manufacturing. This work has been recognized for its practical impact, bridging the gap between academic computer vision research and real-world industrial application. With 32 citations, his paper serves as a foundational reference for engineers and researchers working on automated defect detection. Yogeswaran’s contributions underscore the growing role of machine vision in ensuring product quality, making his research essential reading for those interested in the future of smart manufacturing and Industry 4.0.
Research Focus
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Top Papers
- 1