Datta R Pranav

Papers

Total Citations

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About

Pranav Datta R is a robotics and computer vision researcher whose work focuses on real-time perception systems for autonomous platforms. His most cited contribution, "Real time face detection robot" (2017, 7 citations), addresses the critical challenge of enabling robots to track human faces in dynamic environments—a capability essential for activity recognition, automotive safety, and surveillance. Datta’s approach integrates Arduino microcontrollers with MATLAB’s computer vision toolbox, implementing the Kanade-Lucas-Tomasi (KLT) algorithm for robust feature tracking. Recognizing the limitations of KLT under complex motion, his work explores algorithmic improvements to maintain accuracy in real-world conditions. While his citation count reflects a focused early-career impact, the practical engineering of his system—combining low-cost hardware with sophisticated vision algorithms—demonstrates a commitment to deployable solutions. This work contributes to the broader field of human-robot interaction, where reliable face detection underpins safer and more responsive autonomous systems. Datta’s research exemplifies the intersection of embedded systems and machine perception, offering a foundation for students and engineers developing real-time robotic applications.