Hsin-Yi Lin

Industrial Technology Research Institute

Papers

Total Citations

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About

Hsin-Yi Lin’s research advances the frontiers of industrial automation, with a focus on real-time visual inspection and intelligent robotic manipulation. A key contribution is the development of a real-time FPGA-based template matching module that dramatically accelerates normalized cross-correlation (NCC) computations, enabling high-speed object localization for visual inspection tasks. This work, cited 17 times, addresses a critical bottleneck in automated quality control. More recently, Lin introduced the RoboTwin Metaverse Platform, a novel framework designed to streamline robotic random bin picking. By integrating vision software redefinition with automated dataset collection and annotation, this platform significantly reduces changeover times for diverse workpiece types, tackling a persistent challenge in flexible manufacturing. Though still early in its impact, this 2023 work signals a forward-looking approach to merging digital twins with robotics. Lin’s contributions are particularly valuable for students and researchers in computer vision, FPGA design, and industrial robotics, demonstrating how hardware acceleration and virtual environments can solve real-world factory automation problems.