Papers
1
Total Citations
2
H-Index
1
About
Xin Ke is a researcher specializing in the integration of robotic vision, industrial automation, and Internet of Things (IoT) technologies. Their most notable contribution is the development of a fully automated vision inspection and pick-and-place system for printed circuit boards (PCBs), as detailed in their 2018 paper "Robotic Vision Based PCB Inspection with IOT Interface." This work addresses a critical need in manufacturing by combining real-time visual quality assessment with automated sorting, enhancing production efficiency and reliability. While their citation count remains modest, the research demonstrates a practical, systems-level approach to smart factory solutions. Ke’s work is particularly relevant for students and engineers exploring the convergence of computer vision, robotics, and IoT in industrial settings, offering a clear example of how these technologies can be deployed for quality control and process automation.
Research Focus
Key Achievements
Top Papers
- 1Robotic Vision Based PCB Inspection with IOT Interface2 citations · 2018