# Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform

**Authors:** Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

PMC · DOI: 10.3390/s25072127 · Sensors (Basel, Switzerland) · 2025-03-27

## TL;DR

This paper presents an AI referee system for badminton built on Harmony OS, using computer vision to make fair decisions and improve student engagement in sports.

## Contribution

A low-cost, public AI referee system using YOLOv5 and MediaPipe for badminton with high accuracy and accessibility.

## Key findings

- The AI system achieved 99% prediction accuracy in object detection for badminton decisions.
- MediaPipe algorithm ensured high accuracy in posture recognition for fair rulings.
- The system meets student needs and addresses the shortage of referee resources in sports.

## Abstract

The Hawkeye system was regarded as a successful and effective referee assistant in commercial applications. However, the high hardware investment and strong professionalism set up a physical hurdle in public application. In this sense, one AI referee assistance system is a small-scale system developed under the guidance of computer vision theory and technology, using deep learning-based object detection algorithms and computer graphics-related knowledge. Its main function is to use computer vision technology to make correct and fair judgments on controversial decisions in badminton matches. The AI referee assistance system uses the Harmony OS platform to build a frontend mini-program and uses the YOLOV5 algorithm to detect and track corresponding targets, ultimately achieving judgments both inside and outside the bounds as well as serving violations. In this study, it was found that the object detection model trained in this study performed well, with a prediction accuracy of up to 99%. For posture recognition, this study also utilizes the relatively mature MediaPipe algorithm, which ensures high accuracy of the entire intelligent referee system’s ruling and meets the needs of current students. This helps college students better participate in badminton training and competitions, further improving their enthusiasm for participating in sports and, to some extent, solving the problem of scarce referee resources.

## Full-text entities

- **Diseases:** injury to (MESH:D014947)
- **Chemicals:** YOLOv5 (-)
- **Species:** Tetrastichus ennis (species) [taxon 2931463], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11991181/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC11991181/full.md

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Source: https://tomesphere.com/paper/PMC11991181