A road map for planning-deploying machine vision artifacts in the context of industry 4.0
Ricardo Luhm Silva, Osíris Canciglieri, Marcelo Rudek
Abstract
Machine Vision enhanced by Artificial Intelligence can improve product and process monitoring through inspection. However, applying these solutions to the industrial environment requires a transdisciplinary effort and requisites interoperability. This study proposes a road map to reduce implementation uncertainties. A systematic review of the literature was conducted, considering Machine Vision applications with Artificial Intelligence techniques for Industrial Inspection. Natural Language Processing was used to select the potential documents, by narrowing down those that were not aligned with the desired topic. The remaining documents were analyzed and compared with the proposed road map. This allowed the validation of the proposed concepts confirming their applicability. The results show that the road map is valid for current industrial inspections using Artificial Intelligence and Machine vision providing the support for the development of smarter machines into Industry 4.0 functionalities.