Shrajan Jain
Papers
1
Total Citations
2
H-Index
1
About
Shrajan Jain is a researcher at the forefront of edge computing and embedded computer vision, with a primary focus on optimizing person detection algorithms for resource-constrained devices. His most-cited work, "Efficient Person Detection on Single Board Computers: A Comparative Analysis of Algorithms" (2024), provides a rigorous technical evaluation of detection models tailored for single-board computers (SBCs), addressing the critical need for efficient edge AI solutions. This study systematically benchmarks algorithms on platforms like Raspberry Pi and Jetson Nano, offering practical insights into trade-offs between accuracy, speed, and power consumption—a vital contribution as the demand for real-time, on-device intelligence grows. With 2 citations, this paper has already garnered attention from practitioners seeking to deploy computer vision in IoT, robotics, and smart surveillance. Jain’s work bridges the gap between high-performance deep learning and the constraints of embedded hardware, making him a key voice in the push toward scalable, low-cost edge computing. His research is particularly valuable for students and engineers exploring efficient AI deployment in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1