Shreyas Nirgude

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Shreyas Nirgude 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. His most cited work, "Color and Defect Detection in Industry Automation for Real Time Intelligent Product Sorting" (2025, 5 citations), introduces a pioneering system that leverages advanced camera modules to simultaneously classify objects by color and detect surface defects. This innovation has immediate applications across autonomous vehicles, supply chain logistics, and robotics, addressing critical needs in quality control and automation. Nirgude’s contributions stand out for their practical, multi-purpose design—bridging the gap between high-accuracy detection and real-time processing. By integrating state-of-the-art sensing with intelligent algorithms, his work promises to enhance efficiency and reliability in manufacturing and autonomous systems. Though early in his career, his research has already garnered attention for its potential to transform industrial automation. Nirgude’s focus on scalable, real-time solutions positions him as a rising voice in applied computer vision, with future work likely to deepen the integration of AI in production environments.