Development of an AI and Webserver-integrated Smart Automated Storage and Retrieval System

Authors

  • Quang-Thien Nguyen Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Thien-Bao Truong Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Tan-Huy Tran Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Tan-Loc Nguyen Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Ngoc-Son Vo Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Nguyen-Khang Bui Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Van-Dong-Hai Nguyen Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Thanh-An Cao Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Thi-Ngoc-Thao Nguyen Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
  • Thi-Hong-Lam Le Ho Chi Minh City University of Technology and Engineering (HCM-UTE)

DOI:

https://doi.org/10.59247/jfsc.v4i2.381

Keywords:

Automated Storage and Retrieval System, YOLOv8, Vintern-1B, PLC S7-1200, IoT, Webserver

Abstract

In recent years, Automated Storage and Retrieval Systems (AS/RS) and their development have been a notable trend of modern warehouse management by automating the sequential and precise processes of storing, sorting, and retrieving goods. Driven by the convergence of mechatronic systems, Industrial Internet of Things (IIoT), Artificial Intelligence (AI), cloud storage, and edge-based management systems, the potential and practical benefits of AS/RS can be significantly amplified when effectively combined with these trends. In this field, although some works are presented, they often lack specialization for the Vietnamese industrial environment and sustainability. Therefore, this research presents the development of an intelligent AS/RS, incorporating AI-based label processing and webserver-based control to enhance warehouse management efficiency. Experimental evaluations demonstrate that the system achieves high reliability in product classification and storage tasks, providing a scalable solution for modern smart logistics with real-time data synchronization capabilities via a Node-RED web server.

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Published

2026-06-12

How to Cite

[1]
Q.-T. Nguyen, “Development of an AI and Webserver-integrated Smart Automated Storage and Retrieval System”, J Fuzzy Syst Control, vol. 4, no. 2, pp. 118–124, Jun. 2026.

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