Optimization of Warehouse Management Using Drones, Artificial Intelligence and RFID

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F25%3A10259318" target="_blank" >RIV/61989100:27350/25:10259318 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11206264" target="_blank" >https://ieeexplore.ieee.org/document/11206264</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MASS66014.2025.00077" target="_blank" >10.1109/MASS66014.2025.00077</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of Warehouse Management Using Drones, Artificial Intelligence and RFID

Popis výsledku v původním jazyce

This poster presents a novel system for inventory automation in large outdoor warehouses using a lightweight drone-mounted UHF RFID reader. The system leverages autonomous aerial platforms equipped with custom-developed RFID readers operating in the 865-868 MHz band, combined with intelligent software modules for tag readability evaluation. The proposed solution addresses major limitations of traditional stationary or handheld readers by enabling efficient scanning from a distance, including hard-to-reach areas. Two prototypes of RFID readers were developed, tested and optimized for use on commercial drones, and validated in real-world environments in both Czech and Korean warehouse facilities. The results confirm the reader’s ability to reliably detect tags at distances up to 28 meters and demonstrate its applicability for regular inventory processes. In addition to the hardware, two supporting methodologies and a software tool were developed for integration into existing information systems. The project was carried out within an international research consortium, where the Korean partners focused on AI-based image processing for drone navigation and risk avoidance. The presented solution contributes to the development of autonomous inventory systems, improves safety, and significantly reduces human effort and inventory time in logistics operations.

Název v anglickém jazyce

Optimization of Warehouse Management Using Drones, Artificial Intelligence and RFID

Popis výsledku anglicky

This poster presents a novel system for inventory automation in large outdoor warehouses using a lightweight drone-mounted UHF RFID reader. The system leverages autonomous aerial platforms equipped with custom-developed RFID readers operating in the 865-868 MHz band, combined with intelligent software modules for tag readability evaluation. The proposed solution addresses major limitations of traditional stationary or handheld readers by enabling efficient scanning from a distance, including hard-to-reach areas. Two prototypes of RFID readers were developed, tested and optimized for use on commercial drones, and validated in real-world environments in both Czech and Korean warehouse facilities. The results confirm the reader’s ability to reliably detect tags at distances up to 28 meters and demonstrate its applicability for regular inventory processes. In addition to the hardware, two supporting methodologies and a software tool were developed for integration into existing information systems. The project was carried out within an international research consortium, where the Korean partners focused on AI-based image processing for drone navigation and risk avoidance. The presented solution contributes to the development of autonomous inventory systems, improves safety, and significantly reduces human effort and inventory time in logistics operations.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 IEEE 22nd International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2025 : proceedings : 6-8 October 2025, Chicago, Illinois, United States

ISBN

979-8-3315-6600-5

ISSN

2155-6806

e-ISSN

2155-6814

Počet stran výsledku

2

Strana od-do

502-503

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Chicago

Datum konání akce

6. 10. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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