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

• Main Authors: Goh, Guo Liang, Goh, Guo Dong, Pan, Jing Wen, Teng, Phillis Soek Po, Kong, Pui Wah
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Sports technology; Robot umpire
• Online Access: https://hdl.handle.net/10356/173708
• Institution: 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...