Advanced AI-Based Solutions for Visual Inspection: A Systematic Literature Review

Abstract

Artificial Intelligence (AI)-based solutions, including Machine Learning (ML) and Deep Learning (DL), are ever more implemented in industry for assisting advanced Visual Inspection (VI) systems. They support companies in a more effective identification of product defects, enhancing the performance of humans and avoiding the risks of product incompliance. However, companies often struggle in considering the most appropriate AI-based solutions for VI and for a specific manufacturing domain. Also, an extensive literature study focused on this topic seems to lack. On the basis of a Systematic Literature Review, this paper aims to map the main advanced AI-based VI system solutions (including methods, technologies, techniques, algorithms) thus helping companies in considering the most appropriate solutions for their needs.