Papers

1

Total Citations

5

H-Index

1

About

Dr. M. Vigneshwari is a researcher specializing in computer vision and machine learning, with a particular focus on object classification and industrial automation. Her most cited work, "Colour based Object Classification using KNN Algorithm for Industrial Applications" (2022, 5 citations), addresses a critical challenge in image processing: improving classification accuracy by leveraging color properties alongside shape, texture, and quality. This contribution is vital for applications ranging from security surveillance to robot vision and video communication. By applying the K-Nearest Neighbors (KNN) algorithm to color-based object detection, Dr. Vigneshwari has advanced the efficiency of automated systems in industrial settings. Her research bridges the gap between theoretical machine learning and practical, real-world deployment, making her work valuable for engineers and scientists developing smarter, more reliable vision systems. Though early in her citation impact, her focus on foundational classification techniques signals a promising trajectory in the field of applied artificial intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Colour based Object Classification using KNN Algorithm for Industrial Applications
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago