Bambang Supriyo

Papers

Total Citations

H-Index

About

Bambang Supriyo 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 application of image processing to enhance accuracy in goal-line technology. By transforming raw camera input into higher-quality images, Supriyo’s system enables precise identification and angular measurement of objects—such as a ball crossing a goal frame—in real time. This contribution demonstrates a practical fusion of LabVIEW-based automation and visual analytics, with potential implications for fair-play adjudication in sports. Though his citation count is modest, Supriyo’s work reflects a focused effort to solve a tangible, real-world problem using accessible tools. His research is particularly valuable for students and engineers interested in low-cost, high-impact computer vision systems. Supriyo’s approach—prioritizing clarity, reproducibility, and application—offers a compelling model for how targeted image processing techniques can be deployed in specialized domains like sports officiating.