Experimental Validation of RGB Dataset Analysis for Distribution System Operator Infrastructure Inspections

This article focuses on experimentally validating techniques for analyzing red-green-blue (RGB) datasets in infrastructure inspections carried out by Distribution System Operators (DSOs). Given the increasing demand for efficient and precise inspection methods in the energy sector, leveraging RGB datasets presents a promising opportunity. The research investigates the effectiveness of RGB dataset analysis in identifying and evaluating critical infrastructure assets essential for DSO operations. The experimental validation underscores the potential of RGB data analysis as a valuable tool for improving infrastructure inspection procedures, streamlining maintenance schedules, and ensuring dependable energy distribution networks.