ING-IND/14, 20 hours, 2 CFU

This course tackles the problem of automatic inspection of manufactured goods by comprehensive intelligent systems bridging artificial intelligence and quality control to detect and characterize non-visible defects.

First, this course briefly summarizes the principles of active infrared thermography, the current state-of-the-art sensory technologies, and Finite Element Method (FEM) simulation analyses. Then, it mainly focuses on the processing techniques for data analysis, ranging from deterministic approaches to machine- and deep-learning ones.

The insight into the specific case study of non-destructive testing with active infrared thermography will give the participants detailed knowledge about automatic data processing through artificial intelligence. By the end of the course, participants will be able to design and develop processing pipelines, even referred to data different from thermal ones.

Each lesson consists of a lecture with numerical examples coded in the Matlab environment. Simulation studies will also be performed by the COMSOL Multiphysics software.