Hua Ouyang

Papers

Total Citations

H-Index

About

Dr. Hua Ouyang is a researcher specializing in computer vision and intelligent inspection systems, with a particular focus on automation in industrial and substation environments. Their most notable contribution is a novel tilt correction method for pointer instruments, published in 2021, which addresses a critical challenge in robotic inspection: reading errors caused by dial tilt in captured images. By proposing an instrument correction technique based on feature registration, Dr. Ouyang’s work enhances the accuracy and reliability of automated meter reading—a key component in modernizing power grid maintenance. This paper has garnered 8 citations, reflecting its practical relevance in the field of robotics and visual measurement. Dr. Ouyang’s research bridges the gap between image processing and real-world industrial applications, contributing to safer and more efficient substation operations. Their work is particularly valuable for students and engineers interested in the intersection of computer vision, automation, and energy infrastructure, offering a clear example of how algorithmic solutions can solve tangible problems in critical environments.