Riky Maulana Firdaus

Papers

Total Citations

H-Index

About

Riky Maulana Firdaus is a researcher whose work sits at the intersection of computer vision, embedded systems, and sports technology. His most-cited paper, "Angular Detection System on Goal Frame using Image Processing with LabVIEW" (2019, 3 citations), introduces an innovative approach to real-time object identification by transforming input images to enhance output quality. This system leverages camera-captured data to detect and measure angular positions on a goal frame, demonstrating practical applications for automated scoring and performance analysis in sports. Firdaus’s contribution lies in integrating image processing algorithms with LabVIEW’s graphical programming environment, offering a low-cost, efficient solution for precise angular detection. While his citation count is modest, his work highlights a growing interest in applying computer vision to niche, real-world problems—bridging the gap between theoretical image processing and tangible engineering outcomes. For students and researchers exploring the fusion of embedded vision systems and sports analytics, Firdaus’s research provides a clear, applied example of how digital image processing can transform raw visual data into actionable, quantifiable metrics.