Syed Umaid Ahmed

NED University of Engineering and Technology

Papers

Total Citations

H-Index

About

Syed Umaid Ahmed is an emerging researcher at the intersection of computer vision, embedded systems, and sports technology. His work focuses on developing intelligent, real-time solutions that bridge hardware and software for practical applications. His most cited paper, "Smart Goal Keeper Prototype using Computer Vision and Raspberry Pi" (2020, 3 citations), introduces a novel prototype that uses color tracking and servo motor synchronization to create an automated goalkeeper for football training. This project demonstrates his ability to integrate mathematical modeling with computer vision to detect and respond to moving objects in real time. While his citation count is still growing, Ahmed’s work showcases a hands-on, interdisciplinary approach to solving problems in sports automation. His contributions are particularly notable for their potential to enhance training methodologies, offering a low-cost, scalable solution that can be adapted for various skill levels. As a researcher, Ahmed represents a new wave of innovators who combine practical engineering with algorithmic thinking, making his work relevant for students and professionals interested in the future of smart sports equipment and embedded vision systems.