Rishiraj Manwatkar
Papers
1
Total Citations
7
H-Index
1
About
Rishiraj Manwatkar is a researcher in embedded systems and computer vision, with a focus on enabling real-time visual intelligence on resource-constrained devices. His key research areas include hardware/software co-design, embedded vision, and real-time object detection and tracking. His most cited work, "A Hardware/Software Co-Design Approach for Real-Time Object Detection and Tracking on Embedded Devices" (2018, 7 citations), addresses a critical challenge in modern embedded applications: the need for efficient, low-latency visual analysis in domains like video surveillance, robotics, and industrial manufacturing. Manwatkar’s contributions lie in bridging the gap between algorithm design and hardware implementation, demonstrating how co-design methodologies can achieve real-time performance on embedded platforms without sacrificing accuracy. His work is particularly relevant as the demand for intelligent, autonomous systems grows. By tackling the constraints of power, memory, and processing speed, Manwatkar’s research provides practical pathways for deploying sophisticated vision algorithms in the field, making him a notable voice in the advancement of embedded vision technology.
Research Focus
Key Achievements
Top Papers
- 1