Hamza Khalid

NED University of Engineering and Technology

Papers

Total Citations

H-Index

About

Hamza Khalid is an emerging researcher in the intersection of computer vision, embedded systems, and sports engineering. His most notable work, the "Smart Goal Keeper Prototype using Computer Vision and Raspberry Pi" (2020, 3 citations), demonstrates a practical application of real-time color tracking and servo motor synchronization to create an autonomous training tool for football players. By integrating computer vision algorithms with low-cost hardware like the Raspberry Pi, Khalid's prototype offers a scalable solution for automated sports training, bridging the gap between theoretical computer science and tangible athletic performance enhancement. Though early in his career, this work highlights his ability to design interdisciplinary systems that combine mathematical modeling, sensor integration, and machine perception. His contributions are particularly relevant for researchers exploring edge computing in sports, human-robot interaction, or affordable assistive training technologies. As he continues to develop his portfolio, Khalid's prototype serves as a foundation for future innovations in intelligent sports equipment and real-time object tracking systems.