Mallarapu Vijay Kumar

St. Peter's Institute of Higher Education and Research

Papers

Total Citations

H-Index

About

Mallarapu Vijay Kumar is a forward-thinking researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and computer vision, with a particular focus on intelligent automation for educational environments. His most-cited work, "Robotic Attendance Scheme in the Classroom Using Artificial Intelligence and Internet of Things" (2023), has garnered 49 citations, reflecting its practical relevance in modernizing classroom management. In this study, Kumar explores how facial recognition—a key application of computer vision—can be integrated with IoT to create seamless, automated attendance systems. He critically assesses the technology’s current limitations, noting that while facial recognition has advanced significantly, it still trails behind more established biometric methods like fingerprint and iris scanning in terms of accuracy and reliability. This work not only demonstrates his ability to bridge theoretical AI concepts with real-world utility but also highlights his commitment to improving efficiency in everyday settings. Kumar’s research is particularly valuable for students and practitioners interested in the deployment of AI-driven solutions in resource-constrained environments, offering a balanced view of both the promise and the challenges of emerging technologies.