Tuvshinsanaa Baasanjav

Mongolian University of Science and Technology

Papers

1

Total Citations

7

H-Index

1

About

Tuvshinsanaa Baasanjav is a researcher at the forefront of industrial automation and intelligent manufacturing, with a primary focus on integrating image processing and robotic systems for quality assurance. Their most cited work, "Application of Image Processing and Industrial Robot Arm for Quality Assurance Process of Production" (2020), has garnered 7 citations, establishing a foundational contribution to the field of automated inspection. Baasanjav’s research addresses the critical challenge of enhancing production efficiency by combining computer vision with robotic manipulation, enabling real-time defect detection and precise handling in manufacturing environments. This work is particularly notable for its practical application in the era of Industry 4.0, where high-speed, accurate quality control is essential. By demonstrating how image processing algorithms can guide industrial robot arms to identify and sort defective products, Baasanjav has provided a scalable solution that reduces human error and operational costs. Their contributions are valuable for students and researchers exploring the intersection of mechatronics, computer vision, and industrial engineering, offering a clear pathway toward smarter, more autonomous production lines.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Application of Image Processing and Industrial Robot Arm for Quality Assurance Process of Production
7 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Mongolian University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago