Papers
1
Total Citations
8
H-Index
1
About
Dr. Chang Tan is a leading researcher in computer vision and intelligent robotics, with a particular focus on automated systems for high-risk industrial environments. Their most cited work, "Hexagon-Shaped Screw Recognition and Positioning System Based on Binocular Vision" (2018, 8 citations), addresses a critical challenge in high-voltage and strong-magnetic settings where traditional manual live work poses significant safety threats and inefficiencies. By developing a binocular vision-based system for precise screw recognition and positioning, Dr. Tan has pioneered methods to replace human operators in dangerous tasks, reducing both operational risk and human error. This contribution has laid foundational groundwork for autonomous maintenance systems in power infrastructure. Dr. Tan's research bridges computer vision, robotics, and industrial safety, demonstrating how intelligent perception systems can transform hazardous manual labor into automated, reliable processes. Their work continues to influence the development of safer, more efficient live-line maintenance technologies, with implications for power grid reliability and worker protection worldwide.
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Top Papers
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