Inventory Automation Development of Computer Vision in Drones
Year: 2024
Type: conference-paper
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."
Authors: Leonardo Melo Niz, Giovani Costa Silva, Pedro Henrique Birais, Marcos Antonio Arruda, Rodrigo Cesar Barreto Dos Santos
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4406753052