M. Prasanna Deepu

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

M. Prasanna Deepu is a researcher specializing in embedded systems, reconfigurable computing, and biometric applications, with a particular focus on FPGA-based implementations. His most cited work, "Face detection system using FPGA" (2015, 5 citations), addresses the growing demand for real-time biometric solutions in security, surveillance, and human-interface systems. Deepu’s research emphasizes the integration of hardware acceleration with algorithmic efficiency, enabling faster and more reliable face detection for practical deployment. By leveraging FPGA platforms, he contributes to bridging the gap between software-based recognition and hardware-constrained environments. His work supports the broader advancement of biometric technologies that rely on biological characteristics for identification. Though his citation impact is still developing, Deepu’s focus on embedded biometric systems highlights a commitment to building robust, real-world applications in security and automation. His research offers valuable insights for students and engineers exploring hardware-software co-design in computer vision and pattern recognition.