In India, the overall coal production from open-cast mine projects is nearly 95.64%. The open-cast mining method generates a massive volume of waste material in the mine area, which is also known as overburden. Stable dump slopes with waste material management are a challenge for mining engineers. The failure of mine dumps can have a significant impact on coal production, mine machinery, and miner lives. Therefore, mine waste dump stability analysis is essential for the open-cast industry. In recent years, drones paired with close-range photogrammetry techniques have been widely used for 3D reconstruction and structure monitoring applications. The aim of this study was to collect aerially inspected images of dump sites and reconstruct a 3D model for active dump and failure zone identification. This study used 3D numerical modelling techniques for waste dump stability analysis. A novel method was proposed for performing dump slope stability by combining aerial imagery and data compilation with immersive three-dimensional visualisation of a waste dump. The results of this study suggest that these approaches can aid the open-cast mining industry in successfully monitoring and maintaining dump-and-pit slopes. This technique resulted in substantial time and expense savings during the data collection.