07/30/2021 by Preligens
Preligens puts its technology at the service of the analysis of the exercise of the Russian Armed Forces - ZAPAD 2021
Preligens, a pioneer in Artificial Intelligence applied to the Defense industry, will deploy its tools to monitor and analyze areas of tension for the purpose of studying the ZAPAD 2021 exercise, a quadrennial exercise of the Russian Armed Forces of exceptional scope.
The ZAPAD 2021 exercise will take place from Friday, September 10 to Thursday, September 16, 2021, and will be closely followed by the international military intelligence community. In this context, Preligens will make use of its IMINT and OSINT tools in order to offer a successful monitoring of the maneuvers.
Throughout the exercise, as well as upstream (from August 26) and downstream (until September 24), Preligens intends to share the results of this monitoring and analysis through 6 or 7 summary notes sent at regular intervals
In Russian, "ZAPAD" means "West". The four-yearly ZAPAD exercise is so named because it is being played out on the western borders of Russian and Belarusian territory. Russia and Belarus, military allies, will maneuver together during this week-long exercise, which will be closely followed by analysts, especially those from NATO. The stated purpose of the joint strategic exercise is to allow command personnel at various levels in repelling an aggression against the State of the Union.
In total, up to 200,000 participants, 80 airplanes and helicopters, up to 800 pieces of military equipment, including about 300 tanks, more than 200 weapons and more than 10 ships will take part in the exercise. Each time the ZAPAD exercise is held, there is a significant increase in tensions between the Moscow-Minsk axis and the bordering countries, especially the Baltic states. This year again, these tensions, leading to a dynamic of escalation, should mobilize the international community.
Preligens' Artificial Intelligence tools make it possible to closely monitor such events. Satellite image analysis algorithms will identify troop movements and concentrations of forces (armored vehicles, planes, helicopters, ships, military vehicles, etc.) in the areas concerned. These detections of objects of military interest will be supplemented by information from open source data ( analysis of social network flows, etc.) in order to obtain accurate monitoring of the exercise. Preligens will produce 7 to 8 summary notes at regular intervals reporting on the progress of the operation.