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Human-Machine Interaction Technology (HIT)

A Study on Real-Time Image Processing and Object Recognition System for Custom Robots Using MobileNet

원문정보

Won Ju Jeong, Da So Jung, Young Eun Jung, Hyo Young Shin, Kye Dong Jung, Cheol Young Go

국제인공지능학회(구 한국인터넷방송통신학회) The International Journal of Advanced Smart Convergence Volume 13 Number 4 2024.12 pp.222-233
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초록

영어

This study constructed a real-time image processing and object recognition system using MobileNet and evaluated its performance on custom robots. The lightweight architecture of MobileNet enabled high performance in resource-constrained environments, demonstrating its capability for real-time object recognition. The findings validate that a MobileNet-based system is well-suited for optimizing the performance of custom robots, especially in low-power settings. This research highlights the potential of efficient real-time image processing and object recognition implementation to enhance the functionality of robotic systems.

목차

Abstract
1. Introduction
1.1 Background and Objectives
1.2 The Need for Real-Time Image Processing in Custom Robots
2. Related Works
2.1 MobileNet
2.2 Custom Robot
3. Real-Time Image Processing and Object Recognition for a Custom Robot
3.1 Custom Robot System
3.2 Performance analysis
3.3 Real-Time Smoking Detection Robot System
4. Experiments and Evaluation
4.1 Dataset
4.2 Performance Evaluation of the Model
4.3 Real-Time Image Model Evaluation on the Robot
4.4 Evaluation of Robot Mobility and Control Performance
5. Conclusion and Future Work
Acknowledgement
References

키워드

저자정보

  • Won Ju Jeong Student, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea
  • Da So Jung Student, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea
  • Young Eun Jung Student, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea
  • Hyo Young Shin Professor, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea
  • Kye Dong Jung Visiting professor, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea
  • Cheol Young Go Adjunct professor, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea

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