Sun‐Kyu Lee
Papers
2
Total Citations
36
H-Index
2
About
Sun-Kyu Lee is a leading figure in precision manufacturing and automated surface inspection, with a focus on lapping processes for industrial mold production. His research centers on developing machine vision and optical techniques to replace subjective, manual quality control with objective, automated systems. Lee’s most cited work, “Image-Based Inspection Technique of a Machined Metal Surface for an Unmanned Lapping Process” (2019, 29 citations), introduces a novel framework for classifying surface textures on large-scale molds used in automotive, electronics, and appliance manufacturing. This contribution directly addresses industry challenges by enabling consistent, high-speed defect detection without skilled human intervention. In a subsequent study, “Field surface roughness levelling of the lapping metal surface using specular white light” (2022, 7 citations), Lee advances optical metrology by employing specular white light to achieve uniform roughness across metal surfaces, enhancing process reliability. His work bridges computer vision, optical engineering, and manufacturing, offering practical solutions for smart factories. With growing citation impact, Lee is recognized for pushing the boundaries of unmanned lapping and surface quality assurance, making him a key innovator in modern precision engineering.
Research Focus
Key Achievements
Top Papers
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