Ida Udlhiya
Papers
1
Total Citations
3
H-Index
1
About
Ida Udlhiya is a researcher whose work bridges image processing, computer vision, and sports technology. Her most-cited contribution, "Angular Detection System on Goal Frame using Image Processing with LabVIEW" (2019, 3 citations), introduces a novel application of image enhancement and object identification for automated goal-line analysis. By transforming raw camera input into higher-quality output, Udlhiya’s system enables precise angular detection of a ball’s position relative to a goal frame—a technique with clear implications for fair play in sports and real-time decision support. This work exemplifies her focus on practical, hardware-integrated vision solutions that improve accuracy in dynamic environments. Though her citation count is modest, her research demonstrates a commitment to applying foundational image processing principles to tangible, real-world problems. For students and researchers exploring the intersection of computer vision and sports engineering, Udlhiya’s work offers a clear example of how LabVIEW-based systems can be leveraged for low-latency object tracking and spatial analysis.
Research Focus
Key Achievements
Top Papers
- 1