INVENTORY AUTOMATION DEVELOPMENT OF COMPUTER VISION IN DRONES

This study proposes the automation of inventory control in industrialenvironments using drones equipped with computer vision and 5G technology. Thesystem enables the drone to autonomously read QR codes on product shelves,managing inventories of different sizes and complexities. The implementation aims tooptimize inventory time, reduce counting errors, and enhance operator safety byeliminating the need for access to hard-to-reach areas. Tests demonstrated significantgains in efficiency and safety, highlighting the system's viability in industrialenvironments, although challenges such as scalability and performance in varyingenvironmental conditions still need to be addressed.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.5151/siintec2024-393004
Primary Topic
Image and Object Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

INVENTORY AUTOMATION DEVELOPMENT OF COMPUTER VISION IN DRONES

Giovani Costa Silva, Ricardo Carvalho dos Santos, Marco Aurélio Zezzi Arruda, Pedro Henrique Birais et al.
Image and Object Detection Techniques
article

INVENTORY AUTOMATION DEVELOPMENT OF COMPUTER VISION IN DRONES

Giovani Costa Silva, Ricardo Carvalho dos Santos, Marco Aurélio Zezzi Arruda, Pedro Henrique Birais, Leonardo Melo Niz
article en

Abstract

This study proposes the automation of inventory control in industrialenvironments using drones equipped with computer vision and 5G technology. Thesystem enables the drone to autonomously read QR codes on product shelves,managing inventories of different sizes and complexities. The implementation aims tooptimize inventory time, reduce counting errors, and enhance operator safety byeliminating the need for access to hard-to-reach areas. Tests demonstrated significantgains in efficiency and safety, highlighting the system's viability in industrialenvironments, although challenges such as scalability and performance in varyingenvironmental conditions still need to be addressed.

Openalex Percentile: Top 74%
Image and Object Detection Techniques
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