Chih‐Chung Lin

Metal Industries Research & Development Centre

Papers

1

Total Citations

15

H-Index

1

About

Chih-Chung Lin is a researcher specializing in computer vision and automated manufacturing systems, with a particular focus on precision assembly and quality inspection. His most cited work, "Vision-based Assembly and Inspection System for Golf Club Heads" (2014), which has garnered 15 citations, demonstrates his expertise in developing practical, industry-oriented solutions that integrate image processing and machine vision to enhance production efficiency and accuracy. This contribution highlights his ability to bridge the gap between theoretical computer vision algorithms and real-world manufacturing challenges, offering a systematic approach to automating complex tasks that traditionally relied on manual labor. Lin’s research is notable for its direct applicability in sports equipment manufacturing, where precision is paramount. By designing systems that can both assemble and inspect components in a unified framework, he has provided a valuable template for similar applications in other industries. His work underscores the importance of vision-based technologies in modern automation, making him a key figure for students and researchers interested in applied computer vision, industrial robotics, and quality control systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based Assembly and Inspection System for Golf Club Heads
15 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Metal Industries Research & Development Centre

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago