Mingpu Yao
Papers
1
Total Citations
10
H-Index
1
About
Mingpu Yao is a researcher specializing in intelligent manufacturing, computer vision, and automated inspection systems, with a particular focus on precision measurement for large-scale industrial components. His most-cited work, "A V-shaped weld seam measuring system for large workpieces based on image recognition" (2022, 10 citations), introduces a novel approach that combines image recognition algorithms with structured light techniques to accurately detect and measure weld seams in complex, oversized workpieces. This contribution addresses a critical challenge in automated welding and quality control, offering a non-contact, efficient solution that reduces human error and enhances production reliability. Yao’s research bridges the gap between theoretical computer vision and practical industrial applications, demonstrating how machine learning can optimize real-time manufacturing processes. His work has been recognized for its potential to improve safety and precision in sectors like shipbuilding and heavy machinery. With a growing citation impact, Yao continues to advance the field of intelligent measurement systems, making him a notable figure in applied engineering research.
Research Focus
Key Achievements
Top Papers
- 1