Jiun Lin

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About

Jiun Lin is a researcher whose work sits at the intersection of computer vision, healthcare automation, and intelligent systems. His most notable contribution is the development of an automatic prescription recognition system, designed to serve as the visual backbone for pharmacy robotics. By proposing a structured recognition flow, Lin’s system enables machines to accurately identify and extract medical information from handwritten or printed prescriptions, directly assisting pharmacists in reducing errors and improving workflow efficiency. This foundational work, published in 2018, has garnered 6 citations and represents a meaningful step toward safer, more automated pharmaceutical environments. Lin’s research addresses a critical real-world challenge—bridging the gap between visual data and clinical decision-making—and positions him as a contributor to the growing field of AI-assisted healthcare. His work holds particular relevance for students and researchers interested in applied computer vision, medical informatics, and the integration of smart technologies into clinical practice.