V. Tiwari

Papers

Total Citations

H-Index

About

V. Tiwari is a researcher at the forefront of intelligent systems and machine learning applications, with a particular focus on embedded vision and robotic perception. Their most-cited work, “Image Processing Based Intelligent Mini Robotic Face Recognition System” (2023, 18 citations), addresses a critical challenge in the Internet of Things era: managing and processing the vast data streams generated by interconnected devices. Tiwari’s contribution lies in developing a compact, efficient framework that integrates image processing with machine learning to enable real-time face recognition on resource-constrained robotic platforms. This work not only demonstrates how advanced algorithms can be deployed on miniaturized hardware but also offers a practical solution for secure, autonomous human-robot interaction. By tackling the bottleneck of big data management through intelligent preprocessing and recognition techniques, Tiwari’s research has immediate relevance for smart surveillance, assistive robotics, and edge computing. Their approach—combining algorithmic efficiency with hardware feasibility—marks a significant step toward making AI-driven systems more accessible and responsive in real-world environments.