Caijin Pan

Papers

Total Citations

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About

Dr. Caijin Pan is a researcher specializing in automated visual inspection and manufacturing quality control, with a particular focus on metallic component analysis. Their most notable contribution is the development of a high-speed automatic visual inspection system for copper alloy casting parts, designed to detect surface blisters during online grinding processes. This work, published in 2017, addresses a critical need in industries producing taps, pipes, motor stators, and crafts, where surface defects can compromise product integrity. While Dr. Pan’s citation record is still emerging—with their key paper garnering 4 citations—the practical significance of their research is evident in its direct application to real-world manufacturing challenges. By proposing a vision-based solution that enhances detection speed and accuracy, Dr. Pan has laid groundwork for reducing manual inspection burdens and improving production efficiency. Their work represents a valuable step toward integrating computer vision into industrial automation, offering a foundation for future advancements in non-destructive testing and quality assurance systems.