Hangi Kim
Papers
1
Total Citations
3
H-Index
1
About
Dr. Hangi Kim is a leading researcher at the intersection of computer vision, food safety engineering, and intelligent automation. Their most prominent contribution is the development of a groundbreaking real-time foreign material detection system for fresh-cut vegetables, leveraging the YOLOv7 object detection framework. This work, published in 2025, addresses a critical challenge in food quality assurance by enabling accurate, high-speed identification of diverse contaminants that threaten consumer health and product integrity. By integrating deep learning with industrial inspection, Dr. Kim has provided a scalable solution that significantly reduces reliance on manual sorting, enhancing both safety and efficiency in food processing. With their most-cited paper already garnering early attention, Dr. Kim’s research demonstrates immediate practical impact and strong potential for widespread adoption. Their work exemplifies how advanced AI can be applied to solve pressing real-world problems, positioning them as an innovator in smart agriculture and automated quality control systems.
Research Focus
Key Achievements
Top Papers
- 1