Artificial Intelligence in Explosive Ordnance Disposal Tasks

– The Operation and Developability of the EOD Support Information System Part IV

doi: 10.32562/mkk.2024.1.3

Abstract

The main goal of the four-part article series entitled Artificial Intelligence in EOD Tasks is to present the EOD Support Information System Based on Artificial Intelligence. In the final Part IV of the series of articles, I present the structure of the image database of the system with the description of the individual categories, groups and subgroups. We are talking about the technique of creating the images that make up the database’s learning set, and the recognition accuracy of the completed neural networks, as well as their development potential. Furthermore, about the short-, medium- and long-term development goals of the EOD Support Information System Based on Artificial Intelligence.

Keywords:

EOD artificial intelligence explosive ordnance recognition system mortar rounds

References

Deep Learning for Computer Vision [é. n.]. Online: https://www.mathworks.com/solutions/deep-learning/deep-learning-computer-vision.html

EMBER István (2020a): A lőszermentesítés szerepe az építőiparban. Építőanyag, 72(2), 59–63. Online: https://doi.org/10.14382/epitoanyag-jsbcm.2020.9

EMBER István (2020b): The role and the risks of explosive ordnance decontamination in Hungary. Science & Military (Veda A Vojenstvo), 16(1), 32–42. Online: https://doi.org/10.52651/sam.a.2021.1.32-42

EMBER István – KOVÁCS Zoltán (2020): Drones Above EOD Operators During Their Public Duty. In BEŇOVSKÝ, Marián (szerk.): Zborník Prednášo Trhacia Technika 2020. Banská Bystrica: Slovenská spoločnosť pre trhacie a vŕtacie práce, 90–97. Online: http://download.sstvp.sk/Zbornik2020.pdf

FÖLDI László – PADÁNYI József (2015): Tasks and Experiences of the Hungarian Defence Forces in Crisis Management. Bilten Slovenske Vojske, 17(1), 29–46. Online: https://tudasportal.uni-nke.hu/xmlui/static/pdfjs/web/viewer.html?file=https://tudasportal.uni-nke.hu/xmlui/bitstream/handle/20.500.12944/10134/tasks.pdf?sequence=2&isAllowed=y

KOVÁCS Zoltán (2012): Az improvizált robbanóeszközök főbb típusai. Műszaki Katonai Közlöny, 22(2), 37–52. Online: https://mkk.uni-nke.hu/document/mkk-uni-nke-hu/2012_2_03%20IED-k%20f%C5%91bb%20t%C3%ADpusai%20-%20Kov%C3%A1cs%20Z.pdf

KOVÁCS Zoltán – EMBER István (2021): Aknafelderítés légi eszközökkel. Műszaki Katonai Közlöny, 31(4), 5–20. Online: https://doi.org/10.32562/mkk.2021.4.1

KOVÁCS Zoltán – EMBER István (2022a): Landmine detection with drones. Revista Academiei Forţelor Terestre / Land Forces Academy Review, 27(1), 84–92. Online: https://doi.org/10.2478/raft-2022-0012

KOVÁCS Zoltán – EMBER István (2022b): Mini drónok lehetséges alkalmazása tűzszerész műveletekben. Haditechnika, 56(2), 18–23. Online: https://doi.org/10.23713/HT.56.2.04

LŐDI Antal (2010): Katonai robbanótestek alapismerete, szerkezete. Jegyzet.

NÉMETH András – VIRÁGH Krisztián (2023): Mesterséges intelligencia és haderő – Katonai alkalmazási lehetőségek VII. rész. Haditechnika, 57(1), 2–6. Online: https://doi.org/10.23713/HT.57.1.01

TOMOLYA János – PADÁNYI József (2012): A terrorizmus jelentette kihívások. Hadtudomány, 22(3–4), 34–67. Online: https://www.mhtt.eu/hadtudomany/2012/3_4/HT_2012_3-4_Tomolya_Padanyi.pdf