Papers
1
Total Citations
5
H-Index
1
About
R. Sujatha is a researcher at the forefront of intelligent automation and computer vision, with a primary focus on real-time industrial inspection and smart sorting systems. Her 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 and machine learning to classify objects by color while simultaneously detecting surface defects. This innovation has broad, transformative applications—from autonomous vehicles and robotics to supply chain logistics—demonstrating her ability to bridge theoretical algorithms with practical, real-world deployment. By enabling rapid, accurate, and adaptive quality control, Sujatha’s contributions address critical challenges in manufacturing efficiency and automation reliability. Her work stands out for its emphasis on real-time processing and multi-purpose utility, marking her as a rising voice in applied AI. Though early in her citation trajectory, the immediate relevance of her research to Industry 4.0 and smart factory initiatives signals a promising impact on how machines perceive and interact with their environment.
Research Focus
Key Achievements
Top Papers
- 1