Automated service height fault detection using computer vision and machine learning for badminton matches

• المؤلفون الرئيسيون: Goh, Guo Liang, Goh, Guo Dong, Pan, Jing Wen, Teng, Phillis Soek Po, Kong, Pui Wah
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Sports technology; Robot umpire
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173708
• المؤسسة: Nanyang Technological University

In badminton, accurate service height detection is critical for ensuring fairness. We developed an automated service fault detection system that employed computer vision and machine learning, specifically utilizing the YOLOv5 object detection model. Comprising two cameras and a workstation, our syst...