Automated Service Height Fault Detection Using Computer Vision and Machine Learning for Badminton Matches

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...

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Bibliographic Details
Main Authors: Guo Liang Goh, Guo Dong Goh, Jing Wen Pan, Phillis Soek Po Teng, Pui Wah Kong
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/24/9759