Zhongyan Jin
Papers
1
Total Citations
11
H-Index
1
About
Zhongyan Jin is a researcher whose work sits at the intersection of machine vision, automation, and sustainable e-waste recycling. Their most-cited paper, "Automatic disassembly and recovery device for mobile phone circuit board CPU based on machine vision" (2020, 11 citations), tackles a pressing environmental and engineering challenge: the efficient, automated recovery of valuable components from discarded mobile phones. By integrating a visual inspection system with a feeding device, Jin’s work proposes a practical, scalable solution for dismantling and recycling CPUs from circuit boards, reducing reliance on manual labor and improving recovery rates. This contribution is particularly notable for its direct application to the growing problem of electronic waste, where precision and automation are critical. Jin’s research exemplifies how machine vision can be harnessed for industrial sustainability, offering a blueprint for future recycling technologies. Though early in their citation trajectory, this work signals a focused and impactful approach to merging computer vision with circular economy principles—a field with immense potential for both academic and real-world influence.
Research Focus
Key Achievements
Top Papers
- 1