Artificial Intelligence for Smart Manufacturing

The purpose of this work is to give understanding of the application of image processing using machine learning concept: how innovation in form of AI can drive modern manufacturing company or industry sector. Work is demonstrated by a case study related to resistance spot welding process and results in the benefits related to production optimization and assessment in preliminary quality control stage. Experimental part of the thesis provides example of solution how various python libraries can be used in the similar projects. Final results illustrates graphs of electrode behavior in form of change of diameter, area and distances from the center of electrode, which gives interesting conclusion being compared to previously described theoretical data