Adarsh Sawant
Papers
1
Total Citations
7
H-Index
1
About
Dr. Adarsh Sawant is a leading researcher in embedded vision systems, with a primary focus on hardware/software co-design for real-time visual analysis. His most influential 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 deploying computer vision on resource-constrained platforms. Dr. Sawant's major contribution lies in developing efficient, integrated architectures that enable complex algorithms—such as object detection and tracking—to run on embedded devices without sacrificing real-time performance. This work is foundational for applications in video surveillance, robotics, and industrial manufacturing, where low-latency, on-device sensing is essential. By bridging the gap between algorithm design and hardware constraints, his research has advanced the practical deployment of embedded vision, making it more accessible and reliable for real-world systems. Dr. Sawant's contributions continue to influence the development of smarter, more autonomous embedded devices.
Research Focus
Key Achievements
Top Papers
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