Wenqi Ge
Papers
1
Total Citations
16
H-Index
1
About
Wenqi Ge is a researcher whose work bridges computer vision and industrial automation, with a particular focus on enhancing image processing for critical infrastructure. Their primary research areas include low-illumination image enhancement, automatic meter reading systems, and intelligent detection in power industry applications. Ge’s most notable contribution is the development of an optimized design for pointer meter image enhancement and automatic reading systems in challenging low-light environments—a problem of growing importance as substations increasingly deploy detection robots for data collection. This work, published in 2023 and already garnering 16 citations, addresses the practical challenge of unclear meter images that lead to poor recognition accuracy. By improving the clarity and readability of meter readings under suboptimal conditions, Ge’s research directly supports the reliability and efficiency of automated power grid monitoring. Their work exemplifies the intersection of applied computer vision and real-world engineering needs, offering solutions that enhance both safety and operational precision in the energy sector.
Research Focus
Key Achievements
Top Papers
- 1