Smart Machine Vision System to Improve Decision-Making on the Assembly Line

Technological advances for the production of Printed Circuit Boards (PCBs) are increasingly and increasing the number of components inserted on the surface, leading the electronics industry to seek improvements in their inspection processes, making it often necessary to increase the level of automation on the production line, the use of machine vision in quality inspection within the manufacturing processes, has increasingly collaborated in decision-making to approve or reject products outside the established quality standards. This article proposes developing a hybrid industrial vision system with machine vision and vision sensors to verify 24 components and 7 screw threads. This research aims to use machine vision to increase inspection reliability in an automated way and reduce non-conformity rates in the manufacturing process on the assembly line of automotive products.