This research project aims to establish a framework for the rapid structural safety assessment of buildings using aerial photogrammetric surveys conducted by Unmanned Aerial Vehicles (UAVs). The study is centered on two primary components: (1) the data acquisition process for the photogrammetric 3D reconstruction of structures, followed by the automated extraction of visible geometric features using computer vision techniques, and (2) the integration of these extracted features into structural models to conduct safety assessments based on capacity-to-demand ratios. This approach will account for uncertainties related to material properties and hidden geometric variables. The research seeks to provide estimates of capacity-to-demand ratios that include epistemic uncertainties, utilizing the limited data available from UAV-based photogrammetry. The developed framework’s feasibility and applicability will be validated through a case study.