Optimization of Warehouse Management Using Drones, Artificial Intelligence and RFID
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Optimization of Warehouse Management Using Drones, Artificial Intelligence and RFID
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
Number of pages
2
Pages from-to
502-503
Publisher name
IEEE
Place of publication
Piscataway
Event location
Chicago
Event date
Oct 6, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—