Ming-cui Qin

Papers

Total Citations

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About

Ming-cui Qin is a researcher specializing in precision measurement and robotic vision, with a focus on advancing automated inspection systems for industrial applications. Their most-cited work, "Research on high-precision hole measurement based on robot vision method" (2014), has garnered 12 citations, establishing a foundation for integrating computer vision with robotic systems to achieve micron-level accuracy in geometric measurements. This contribution addresses critical challenges in manufacturing quality control, particularly for hole detection and dimensioning tasks that require both speed and precision beyond human capability. Qin's research bridges the gap between theoretical vision algorithms and practical industrial metrology, offering solutions that reduce measurement errors while enhancing automation efficiency. Though their citation count reflects a focused, emerging impact, the work demonstrates potential for broader adoption in smart manufacturing and robotics. Qin's approach—combining sensor calibration, image processing, and robotic kinematics—positions them as a contributor to the growing field of vision-guided precision engineering, with implications for aerospace, automotive, and electronics assembly lines where exacting tolerances are paramount.