Papers
1
Total Citations
2
H-Index
1
About
Yu Xin is a researcher specializing in edge computing and computer vision, with a particular focus on pedestrian recognition systems. Their most notable contribution is the development of a novel pedestrian recognition method based on the Jetson Nano platform, published in 2023. This work addresses critical limitations of traditional recognition approaches, which often demand substantial computing resources and robust network connectivity. By leveraging the Jetson Nano as an edge computing device, Yu Xin's method achieves low latency and enhanced privacy, making it highly suitable for real-time applications in resource-constrained environments. The paper has garnered 2 citations, reflecting its emerging impact in the field of embedded vision systems. Yu Xin's research bridges the gap between efficient hardware utilization and advanced computer vision algorithms, offering practical solutions for autonomous systems, smart surveillance, and intelligent transportation. Their work underscores the growing importance of edge computing in enabling privacy-preserving, real-time AI applications, positioning them as a promising contributor to the intersection of hardware-software co-design and visual recognition technologies.
Research Focus
Key Achievements
Top Papers
- 1Pedestrian recognition method based on Jetson nano2 citations · 2023