Machine vision in conjunction with a knowledge-based system for semi-automatic control of a gravure printing process

This paper describes the work carried out to produce an automated print inspection system, which was developed on a gravure printing press within the wall-covering printing industry. The project aim was to produce a system that could continuously monitor the gravure printing process, by examining printed material using machine vision, and then by using a fuzzy knowledge-based system to interpret the machine vision system output and to make recommendations to an operator as to how to correct the process with simple text-based suggestions, avoiding printing of scrap material.