Can Ma

Papers

Total Citations

H-Index

About

Can Ma has made foundational contributions to intelligent manufacturing and industrial automation, with a particular focus on machine vision–based quality inspection systems. His most cited work, "Research and Develop on PCB Defect Intelligent Visual Inspection Robot" (2012, 3 citations), introduced a pioneering framework for automated printed circuit board defect detection. This research integrated robotic manipulation, electronic control systems, and machine vision algorithms to achieve fast, reliable quality assessment in electronics manufacturing. Ma’s work addresses critical challenges in industrial inspection—balancing speed, accuracy, and adaptability—and has influenced subsequent developments in smart factory technologies. By designing a complete robot system architecture, from mechanical structure to vision processing, he demonstrated how intelligent automation can replace manual inspection in high-precision environments. Though early in citation impact, this paper represents an important step toward practical, deployable inspection robots. Ma’s research continues to explore the intersection of robotics, computer vision, and industrial quality control, contributing to the broader push for Industry 4.0 solutions. His work is particularly relevant for researchers and engineers developing automated visual inspection systems for electronics and other manufacturing sectors.