Structural health monitoring is a field of study that embeds several scientific areas that are combined to properly inspect structures and evaluate their integrity. In this scenario, nondestructive testing (NDT) has become an efficient and reliable inspection tool able to detect flaws and anomalies, as well as material properties. Its nature of non-harassing the object under analysis, led it to be used in a broad variety of applications. At the same time, developments in computer vision made possible to reconstruct three-dimensional models of structures starting from a suitable set of images. The aim of this research is to present anovel inspection technique that exploits both nondestructive testing and computer vision for detecting heat-related defects in structures and infrastructures.