Gumi-si, South Korea

Sung Bin Son


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Sung Bin Son in Deep Learning Technology

Introduction

Sung Bin Son is an accomplished inventor based in Gumi-si, South Korea. He has made significant contributions to the field of technology, particularly in the area of deep learning and inspection systems. His innovative work has led to the development of a unique patent that addresses critical challenges in the semiconductor industry.

Latest Patents

Sung Bin Son holds a patent for a "Deep learning-based MLCC stacked alignment inspection system and method." This advanced system includes an integrated defect detection unit that is designed to identify core areas requiring inspection of image data. The system utilizes at least one deep learning-based core area detection model to photograph a stacked structure from a semiconductor MLCC chip. It performs segmentation in the detected core areas and determines the presence of defects based on a standard margin percentage range. The system generates normal and/or defective data based on the results, enabling effective defect detection.

Career Highlights

Sung Bin Son is affiliated with the Korea University of Technology and Education Industry-University Cooperation Foundation. His role at this institution allows him to engage in cutting-edge research and development, contributing to advancements in technology and education. His work is characterized by a commitment to innovation and excellence in the field.

Collaborations

Sung Bin Son has collaborated with notable colleagues, including Heung-Seon Oh and Jun Uk Jung. These partnerships have fostered a collaborative environment that enhances the quality and impact of their research efforts.

Conclusion

Sung Bin Son's contributions to deep learning technology and inspection systems exemplify the innovative spirit of modern inventors. His patent reflects a significant advancement in the semiconductor industry, showcasing the potential of deep learning applications. Through his work, he continues to inspire future innovations in technology.

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