Pattaraporn Taptimtong
Papers
1
Total Citations
2
H-Index
1
About
Pattaraporn Taptimtong’s research centers on applied computer vision and intelligent automation, with a particular focus on object detection, classification, and autonomous assembly systems. Her most-cited work, “Multi-objects detection and classification using Vision Builder for autonomous assembly,” introduces a novel approach that leverages state diagram design within Vision Builder for Automated Inspection (AI) to accurately detect and classify multiple objects on a placement mat. This method extracts precise location information critical for robotic assembly tasks, bridging the gap between visual perception and autonomous manipulation. While her citation count is currently modest, her contribution offers a practical, scalable framework for integrating vision-based decision-making into manufacturing workflows. Taptimtong’s work is especially relevant for researchers and engineers developing low-cost, vision-guided automation solutions, demonstrating how accessible tools like Vision Builder can be harnessed for complex multi-object scenarios. Her research underscores the growing importance of efficient, real-time visual processing in industrial robotics and smart factory environments.
Research Focus
Key Achievements
Top Papers
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