Welcome everyone and thank you for your interest in this webinar on “Vision Sensors and Systems in Structural Health Monitoring”.

My name is Alessandro Sabato, and I will serve as the Chair for this event.

Advancements in digital cameras and image processing algorithms have made computer vision methods attractive tools for structural health monitoring (SHM) and nondestructive evaluation (NDE) of aerospace, civil, and mechanical engineering structures. Because of their inherent advantages, optical and computer vision-based inspections can overcome some of the limitations that characterize contact-type approaches (e.g., discrete number of measurement points, costs, installation challenges, the necessity for auxiliary instrumentation, interference with the monitored structure, etc.). Thus, computer vision and optical technologies have become a valid alternative for addressing the resilience, sustainability, and safety issues of aging structures and infrastructure systems. This webinar aims to serve as a platform to explore recent theoretical and experimental efforts as well as future directions in computer vision and optical techniques for SHM and NDE.