A smart Warehouse 4.0 approach for the pallet management using machine vision and Internet of Things (IoT): A real industrial case study

Printing companies are commonly SMEs with high flow of materials, which management could be significantly improved through the digitalization. In this study we propose a smart Warehouse 4.0 solution by using QR code, open-source software tools for machine vision and conventional surveillance equipment. Although there have been concerns regarding usage in logistics, it has shown to suitable particular use-case as pallets static interwarehouse. The reliability reading codes was achieved multiple IP cameras, so that sub-optimal view angle or light reflection is compensated alternative views. Since technology constantly evolving becoming more affordable, report attention needs invested into their adaptation fit budgets SMEs, industrial cornerstone most developed countries. demo proposed available on public repository https://github.com/ArsoVukicevic/PalletManagement/.