M. Vamshi Krishna

Papers

Total Citations

H-Index

About

M. Vamshi Krishna is an emerging researcher specializing in computer vision, artificial intelligence, and robotics, with a particular focus on intelligent waste management systems. His work sits at a compelling intersection of environmental sustainability and cutting-edge technology, applying machine learning and image processing techniques to solve real-world challenges in waste segregation and recycling. Krishna's most impactful contribution, "Multi-class waste segregation using computer vision and robotic arm" (2024), has rapidly garnered 20 citations, demonstrating strong community interest in his approach to automating the classification and physical sorting of recyclable materials. This work addresses a critical bottleneck in waste management pipelines — the co-disposal of mixed recyclables — by leveraging computer vision to enable robotic systems to categorize and separate waste autonomously. His complementary review, "Analysis on Robotic Based Waste Segregation Techniques Using Artificial Intelligence," further consolidates his expertise in this domain. His earlier work on real-time color object detection using Raspberry Pi highlights his foundational interest in embedded vision systems and low-cost hardware solutions. Collectively, his research reflects a commitment to developing practical, scalable AI-driven tools with meaningful environmental impact, positioning him as a promising contributor to the growing field of smart automation and sustainable technology.