dc.contributor.author | Beneš, Filip | |
dc.contributor.author | Staša, Pavel | |
dc.contributor.author | Švub, Jiří | |
dc.contributor.author | Alfian, Ganjar | |
dc.contributor.author | Kang, Yong-Shin | |
dc.contributor.author | Rhee, Jong-Tae | |
dc.date.accessioned | 2022-05-19T12:15:07Z | |
dc.date.available | 2022-05-19T12:15:07Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Applied Sciences. 2022, vol. 12, issue 3, art. no. 1277. | cs |
dc.identifier.issn | 2076-3417 | |
dc.identifier.issn | 10.3390/app12031277 | |
dc.identifier.uri | http://hdl.handle.net/10084/146194 | |
dc.description.abstract | As a part of the supply chain, inventory management includes, among other things,
maintaining the storage of stock, controlling the amount of product for sale and order fulfilment.
In business terms, inventory management means the right stock, at the right levels, in the right
place, at the right time. In the case of large outdoor warehouses, common identification methods
are lengthy and inappropriate. One way to determine inventory easily and quickly is to deploy
UAV’s (unmanned aerial vehicle) for product identification purposes. In this case, however, there is a
problem in determining where the goods are located. A drone moves at higher altitudes, which can
lead to a situation where we will not be able to determine the exact location of the goods. This article
deals with a method of determining the correct flight level suitable to distinguish the identified items
located at least 2 m apart. The evaluation is performed based on an RSSI (received signal strength
indicator) value. The experiment proved that even at maximum reading distance of selected passive
UHF RFID tags the two objects can be distinguished. | cs |
dc.language.iso | en | cs |
dc.publisher | MDPI | cs |
dc.relation.ispartofseries | Applied Sciences | cs |
dc.relation.uri | https://doi.org/10.3390/app12031277 | cs |
dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | RFID | cs |
dc.subject | inventory management | cs |
dc.subject | drone | cs |
dc.subject | unmanned aerial vehicle | cs |
dc.subject | RSSI | cs |
dc.subject | positioning | cs |
dc.title | Investigation of UHF signal strength propagation at warehouse management applications based on drones and RFID technology utilization | cs |
dc.type | article | cs |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 12 | cs |
dc.description.issue | 3 | cs |
dc.description.firstpage | art. no. 1277 | cs |
dc.identifier.wos | 000759892400001 | |