Weapons Detection System Based on Edge Computing and Computer Vision
Burnayev Z.R. Toibazarov D.O. Atanov S.K. Canbolat H. Seitbattalov Z.Y. Kassenov D.D.
2023Science and Information Organization
International Journal of Advanced Computer Science and Applications
2023#14Issue 5812 - 820 pp.
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.
edge device , gun recognition , Internet of Things , military systems control , network analytic , Raspberry pi
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Department of Social Disciplines and Pedagogy, The National Defence University named after the First President of the Republic of Kazakhstan - Elbasi, Astana, Kazakhstan
Department of Arms and Military Equipment Research, The National Defence University named after the First President of the Republic of Kazakhstan - Elbasi, Astana, Kazakhstan
Department of Computer and Software Engineering, L. N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Electrical and Electronics Engineering, Ankara Yıldırım Beyazıt University, Ankara, Turkey
Department of Education and Science, Ministry of Defense of the Republic of Kazakhstan, Astana, Kazakhstan
Department of Social Disciplines and Pedagogy
Department of Arms and Military Equipment Research
Department of Computer and Software Engineering
Department of Electrical and Electronics Engineering
Department of Education and Science
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