Research Article
A Study on the Application of Real-Time AI Image Recognition Systems in Sports Broadcasting
@INPROCEEDINGS{10.1007/978-3-032-34048-1_12, author={Chia-Yu Wu and Jiunn-Lin Wu and Sheng-Tsung Tu and Ming-Hua Hsu}, title={A Study on the Application of Real-Time AI Image Recognition Systems in Sports Broadcasting}, proceedings={Smart Grid and Internet of Things. 9th EAI International Conference, SGIoT 2025, Taichung, Taiwan, December 6--7, 2025, Proceedings}, proceedings_a={SGIOT}, year={2026}, month={10}, keywords={Sports Event Broadcasting Table Tennis Competition AI Image Recognition Real-Time Computer Vision System}, doi={10.1007/978-3-032-34048-1_12} }- Chia-Yu Wu
Jiunn-Lin Wu
Sheng-Tsung Tu
Ming-Hua Hsu
Year: 2026
A Study on the Application of Real-Time AI Image Recognition Systems in Sports Broadcasting
SGIOT
Springer
DOI: 10.1007/978-3-032-34048-1_12
Abstract
In recent years, sports broadcasting has increasingly integrated AI-based image recognition technologies. Systems such as Hawk-Eye, used in tennis and badminton for decision support, the Table Tennis Review (TTR) system for table tennis, and Microsoft’s True View system have all been widely adopted in live sports coverage. However, the unique characteristics of table tennis—its small playing area, compact and fast-moving ball, strong spin, and unpredictable landing points-pose considerable challenges. These factors often hinder viewers’ sense of immersion, engagement, and overall experience. Therefore, this study incorporates AI-powered recognition of dynamic table tennis imagery into traditional sports broadcasting, aiming to propose a new paradigm for enhancing the sports broadcasting experience.