Satakshi Roy

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Satakshi Roy is a researcher at the intersection of computer vision and industrial automation, with a primary focus on leveraging deep learning for intelligent object recognition and sorting systems. Her most-cited work, "Color Based Object Sorting System using Deep Learning" (2020), addresses a critical bottleneck in manufacturing: the inefficiency and inconsistency of manual sorting. By integrating convolutional neural networks with real-time color detection, Roy’s system automates the classification of objects, significantly improving throughput and quality control in industrial settings. This contribution has garnered 2 citations, reflecting its practical relevance to both academic robotics research and applied engineering. Beyond this flagship paper, Roy’s broader research explores how lightweight deep learning models can be deployed on edge devices, making automation more accessible for small-scale industries. Her work exemplifies a hands-on approach to solving real-world problems, bridging the gap between theoretical AI and tangible manufacturing solutions. For students and researchers, Roy’s research offers a compelling case study in applying deep learning to streamline repetitive tasks, highlighting the potential for AI to transform traditional labor-intensive processes into efficient, consistent, and scalable systems.