Yulin Huang
Papers
1
Total Citations
15
H-Index
1
About
Yulin Huang is a researcher specializing in machine vision, intelligent manufacturing, and automated surface inspection technologies. Their most notable contribution lies in advancing defect detection and precision grinding for industrial steel plates, addressing critical inefficiencies in traditional manual inspection processes. In their highly cited 2019 paper, Huang proposed an integrated machine vision framework that simultaneously detects surface defects and plans optimal grinding paths, significantly improving both detection accuracy and operational efficiency. This work, garnering 15 citations, has practical implications for quality control in steel manufacturing, reducing labor costs and human error. Huang’s research bridges computer vision and robotic automation, offering scalable solutions for real-time industrial monitoring. By combining image processing algorithms with path optimization, they have laid groundwork for smarter, more autonomous production lines. Their achievements reflect a commitment to enhancing industrial productivity through applied AI, making their work a valuable reference for engineers and researchers in manufacturing, robotics, and surface engineering.
Research Focus
Key Achievements
Top Papers
- 1