Early detection of armed threats is crucial in reducing accidents and deaths resulting from armed conflicts and terrorist attacks. The most significant application of weapon detection systems would be found in public areas such as airports, stadiums, central squares, and on the battlefield in urban or rural conditions. Modern surveillance and control systems of closed-circuit television cameras apply deep learning and machine learning algorithms for weapons detection on the base of cloud architecture. However, cloud computing is inefficient for network bandwidth, data privacy and slow decision-making. To address these issues, edge computing can be applied, using Raspberry Pi as an edge device with the EfficientDet model for developing the weapons detection system. The image processing results are transmitted as a text report to the cloud platform for further analysis by the operator. Soldiers can equip themselves with the suggested edge node and headphones for armed threat notifications, plugged into augmented reality glasses for visual data output. As a result, the application of edge computing makes it possible to ensure data safety, increase the network bandwidth and provide the device operation without the internet. Thus, an independent weapon detection system was developed that identifies weapons in 1.48 seconds without the Internet.
In modern conditions, at the stage of professionalization of the Armed Forces of Kazakhstan, it is necessary to reorient to own forces, to concentrate the intellectual and financial potential on the further development of the domestic system of military education and military science. The aim of this study is to consider the development trends of the training of reserve officers and military personnel in different countries, as well as highlight on the basis of the obtained data the main effective ways to improve the qualifications and improve military-patriotic education of military personnel. As a result, stages of the implementation of ways to improve the military-patriotic education of student youth are proposed, and it also presents what development prospects this brings in terms of improving the Kazakh army, as well as open opportunities for improving the teaching of military training in higher educational institutions.
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