Tony Chua Tung Ming
Papers
1
Total Citations
4
H-Index
1
About
Tony Chua Tung Ming is a researcher whose work centers on the intersection of industrial automation, computer vision, and robotics. His primary contributions lie in developing automated visual inspection (AVI) systems that enhance precision and efficiency in manufacturing environments. Notably, his 2016 paper, "Automated Visual Inspection: Position Identification of Object for Industrial Robot Application based on Color and Shape," addresses a critical challenge in replacing human inspection with machine-driven accuracy. By proposing a system that identifies object position using color and shape features, Chua demonstrates how AVI can reduce processing time while improving reliability—a key advancement for industrial robotics. Though his most-cited work has garnered 4 citations, its practical relevance underscores his focus on applied solutions for real-world automation. Chua’s research bridges the gap between theoretical computer vision and tangible industrial applications, offering a foundation for further innovations in smart manufacturing and robotic perception. His work is particularly valuable for students and engineers exploring cost-effective, high-precision inspection methods in automated production lines.
Research Focus
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Top Papers
- 1