A. Kulkarni

Vellore Institute of Technology University

Papers

1

Total Citations

5

H-Index

1

About

A. Kulkarni is a researcher at the forefront of intelligent automation and computer vision, with a primary focus on real-time industrial inspection and object sorting systems. Their most-cited work, "Color and Defect Detection in Industry Automation for Real Time Intelligent Product Sorting" (2025, 5 citations), introduces a cutting-edge system that leverages advanced camera modules to classify objects by color and detect surface defects in real time. This innovation has broad applications across autonomous vehicles, supply chain logistics, and robotics, demonstrating Kulkarni’s ability to bridge theoretical computer vision with practical industrial needs. By enabling faster, more accurate quality control, their work directly enhances efficiency in manufacturing and automation. Though early in their career, Kulkarni’s contributions are already gaining traction, signaling a promising trajectory in intelligent systems. Their research stands out for its emphasis on real-time performance and multi-purpose utility, making it a valuable resource for engineers and researchers developing next-generation automation solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Color and Defect Detection in Industry Automation for Real Time Intelligent Product Sorting
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Vellore Institute of Technology University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago