Meitu Ye
Papers
1
Total Citations
37
H-Index
1
About
Meitu Ye is a researcher specializing in industrial automation, 3D scanning technology, and computational geometry. Their most notable contribution is the development of a high-efficiency, high-precision automatic 3D scanning system for industrial parts, detailed in their 2022 paper that has garnered 37 citations. This work introduces a novel scanning path planning algorithm that significantly enhances both the speed and accuracy of 3D data acquisition for complex industrial components, addressing critical challenges in quality control and reverse engineering. Ye's research bridges the gap between theoretical path optimization and practical manufacturing needs, enabling faster, more reliable inspection processes. Their work has been recognized for its potential to reduce production downtime and improve measurement consistency in automated factories. By integrating algorithmic innovation with hardware design, Ye has laid a foundation for next-generation industrial metrology systems. Their ongoing efforts continue to push the boundaries of automated 3D sensing, making high-precision scanning more accessible for real-world industrial applications.
Research Focus
Key Achievements
Top Papers
- 1