Infrared Thermography for Intelligent Robotic Systems in Research Industry Inspections

Abstract

Infrared thermography has been applied in different research projects involving leakages, micro-climate monitoring, energy control, security, and predictive maintenance. The chapter focuses on image and data process techniques improving intelligent inspection systems able to extract hidden information. Image segmentation techniques, data mining, and machine learning approaches have been applied by proposing innovative models suitable for accurate process monitoring. The proposed models can be adopted for the engineering of industry processes involving quality, production performance indicators, security systems, resources management, and intelligent scheduling of activities. Different networks able to transmit data and thermograms are described by discussing system integration in robotic systems. The proposed chapter provides elements and requirements for the design of infrared thermography facilities in industries. Different cases of study of industry projects have been analyzed in order to provide models usable in different application fields.