The use of artificial intelligence methods for analyzing images obtained through low-altitude photogrammetry technology to calculate the volume of mass in open-pit mines

Measurements using drones have enabled significant changes in the inventorying and monitoring of mining areas. Drone-based measurements can be faster and more accurate [Mazurek 2018]. Aerial photographs taken with drones allow the surveying department in mines to accurately represent the photographed terrain and make precise measurements, which can be used, among other things, to calculate the volume of mass. The aim of the article is to present the results of research on the automated process of acquiring and processing photogrammetric data for the purpose of calculating mass volumes. As part of the research, an algorithm based on classical methods and deep learning was developed. In collaboration with the Silesian University of Technology and 3D Format company from Gliwice, the AGH University of Krakow has developed a system for automated volumetric measurements based on low-altitude photogrammetry using non-metric photos and artificial intelligence (AI) algorithms to provide cyclical volume measurement services on the Polish market. The idea of the system is to acquire data automatically, then provide the data in the cloud, maximize measurement automation, and provide results in near real-time. The entire process is to be conducted using software available through the website. The project was divided into several stages. This particular publication focuses on the automation of the measurement of surveying points.

---

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).