Peemapol Tangamonsiri
Papers
1
Total Citations
5
H-Index
1
About
Peemapol Tangamonsiri is a robotics researcher whose work focuses on the intersection of computer vision and autonomous systems for industrial applications. His key research areas include real-time analog gauge reading, robotic perception, and human-robot collaboration in manufacturing environments. Tangamonsiri's most notable contribution is the development of a real-time multiple analog gauges reader for autonomous robots, a system that addresses a critical bottleneck in modern production lines where manual gauge reading remains prevalent. This work, which has garnered 5 citations, demonstrates how computer vision techniques can enable robots to autonomously interpret analog instruments, thereby reducing human error and increasing operational efficiency. The research is particularly significant for small-to-medium manufacturers seeking to automate routine monitoring tasks without replacing existing analog infrastructure. Tangamonsiri's approach combines deep learning with traditional image processing to achieve robust performance across varying lighting conditions and gauge orientations. His work represents a practical step toward fully autonomous industrial environments, where robots can seamlessly integrate with legacy equipment to perform inspection and monitoring duties that previously required human operators.
Research Focus
Key Achievements
Top Papers
- 1