Industrial enterprises digital transformation in the context of “industry 4.0” growth: Integration features of the vision systems for diagnostics of the food packaging sealing under the conditions of a production line

Abstract

The article contains the results of the authors’ research the subject of which is the system of technical vision for the diagnostics of the food packaging air-tightness under the conditions of on-line production and their marketing potential. The article presents the first stage of the research work, which is devoted to the development of the diagnosing method of the air-tightness of the food products package under the conditions of in-line production for a prototype of a self-learning software and hardware vision system that performs the diagnostics of the air-tightness of food packaging in a flow production environment. Scientific novelty of the solutions proposed in the project is the use of a fundamentally new design of the complex with a self-learning system of technical vision, based on the use of advanced methods in the field of artificial neural networks and machine learning. The analytical material presented in the article shows the development vectors of modern innovative elaborations, as well as a general trend in the scientific and technical literature. The authors believe that this research offers a valuable view how innovative systems of technical vision, methods of artificial neural networks and machine learning can influence the digital transformation of industrial enterprises provided “Industry 4.0” growth.