Cheng‐Yen Chen

Metal Industries Research & Development Centre

Papers

Total Citations

H-Index

About

Cheng-Yen Chen 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, 15 citations), demonstrates a practical application of machine vision to industrial automation, addressing critical challenges in aligning and verifying complex components. This contribution highlights his ability to bridge theoretical computer vision techniques with real-world manufacturing needs, improving both efficiency and accuracy in production lines. Chen’s research underscores the growing importance of vision-based systems in quality control, where even minor deviations can impact product performance. While his citation count reflects a specialized niche, his work has direct implications for industries seeking to automate high-precision tasks. By integrating image processing, pattern recognition, and robotic control, Chen has provided a framework that can be adapted to other assembly and inspection domains. His achievements offer valuable insights for students and researchers interested in the intersection of computer vision, automation, and industrial engineering, showcasing how targeted innovations can solve practical problems in manufacturing.