Y. Y. Xue

Papers

Total Citations

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About

Y. Y. Xue is a researcher focused on applied computer vision and intelligent automation, with a particular emphasis on environmental sustainability through AI-driven waste management. Their most notable contribution is the development of an image recognition system for garbage classification based on the YOLOv8 architecture, detailed in their 2023 paper. This work addresses the pressing need for rapid and accurate intelligent garbage sorting by robots, utilizing a WP-UT2000 color camera for image acquisition and building a robust classification model. Although the paper has garnered 4 citations to date, its practical relevance to smart city initiatives and robotic automation highlights Xue’s commitment to solving real-world environmental challenges. By integrating state-of-the-art deep learning with robotic systems, Xue’s research demonstrates the potential of AI to streamline recycling processes and reduce human labor in waste management. Their work serves as a valuable resource for students and researchers exploring the intersection of computer vision, robotics, and sustainability, offering a concrete example of how deep learning models can be deployed for societal benefit.