Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development

Sammanfattning: Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. On the other hand, the war has also been characterized by Ukrainian resilience, a united Europe, and a new dimension of intelligence gathering through social media.Due to the internet, social media, the accessibility of mobile devices, and Ukraine’s military and civilianeffort in documenting Russian equipment – its whereabouts, status, and quantity, Open-Source Intelligence possibilities have reached new levels for both professionals and amateurs. Despite these improved possibilities, gathering such a vast amount of data is still a Herculean effort.Hence, this study contributes a starting point for anyone wanting to compile equipment losses by providing a process specialized in automatic data extraction and summarization from an existing database. The database in question is the image collection from the military analysis group Oryxspioenkop. To further complement the information provided by Oryxspioenkop, the method automatically extracts and annotates dates from the images to provide a chronological order of the equipment loss as well as a graphical overview.The process shows promising results and manages to compile a large set of data, both the information provided by Oryx and the extracted dates from its imagery. Further, the automated process proves to be many times faster than its manual counterpart, showing a linear relationship between the number of images analysed and manhours saved. However, due to the limited development time – the process still has room for improvement and should be considered semi-automatic, rather than automatic. Nevertheless, thanks to the open-source design, the process can be continuously updated and modified to work with other databases, images, or the extraction of other strings of text from imagery.With the rise of competent artificial image generation models, the study also raises the question if this kind of imagery will be a reliable source in the future when studying equipment losses, or if artificial intelligence will be used as a tool of propaganda and psychological operations in wars to come.