K.M. Maneesha

Papers

Total Citations

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About

K.M. Maneesha is a researcher in robotics and computer vision, with a focus on real-time face detection and tracking systems. Her most-cited work, "Real time face detection robot" (2017), addresses the critical need for accurate, real-time face tracking in applications such as activity recognition, automotive safety, and surveillance. In this study, she implemented the Kanade-Lucas-Tomasi (KLT) algorithm using Arduino and MATLAB, demonstrating a practical approach to handling complex motion in dynamic environments. Despite the challenges of real-time processing, her work has garnered 7 citations, reflecting its relevance to the growing field of autonomous systems and human-robot interaction. Maneesha’s contributions lie at the intersection of embedded systems and computer vision, offering accessible solutions for robotic platforms. Her research continues to inspire students and engineers exploring low-cost, efficient methods for real-time visual tracking, making her a notable figure in applied robotics.