Shweta Singh
Papers
1
Total Citations
2
H-Index
1
About
Shweta Singh's research lies at the intersection of embedded systems, real-time video processing, and hardware-software co-design, with a particular focus on FPGA-based implementations for intelligent surveillance. Her most cited work, "An FPGA Based Efficient Surveillance System: A Split Processing Approach" (2018), introduces a novel bifurcated processing architecture that strategically partitions video algorithms between the ZYNQ XC7Z010-1CLG400C FPGA on a surveillance robot and a remote processing unit. This split-processing methodology significantly enhances system efficiency by offloading computationally intensive tasks to hardware while maintaining real-time responsiveness—a critical requirement for autonomous monitoring applications. Though her citation count is currently modest, Singh's contribution demonstrates a sophisticated understanding of balancing hardware acceleration with algorithmic complexity in resource-constrained environments. Her work is particularly relevant for researchers exploring edge computing in robotics, offering a practical blueprint for designing low-latency, power-efficient surveillance systems. By addressing the bottleneck of on-device processing through intelligent task partitioning, Singh has laid groundwork for scalable embedded vision solutions that could benefit applications from smart cities to defense.
Research Focus
Key Achievements
Top Papers
- 1An FPGA Based Efficient Surveillance System: A Split Processing Approach2 citations · 2018