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Artificial Intelligence You Only Look Once -- Based Unmanned Aerial System for Remote Sensing in Security Surveillance.

Authors :
Gutt, Jakub
Kaczor, Michał
Paleta, Grzegorz
Polec, Krzysztof
Stiborski, Kacper
Strzępek, Filip
Czyba, Roman
Czekalski, Piotr
Domin, Jarosław
Gebeyehu, Nebiyat
Source :
Advances in Science & Technology Research Journal; 2024, Vol. 18 Issue 7, p364-378, 15p
Publication Year :
2024

Abstract

Unmanned aerial vehicles are a synergistic technology that complements other new technologies and is in constant development. The paper focuses on using artificial intelligence (AI) in security surveillance. This article aims to develop an unmanned aerial system to monitor border areas and detect human silhouettes in challenging environmental conditions. For this purpose, thermal imaging technology was used for remote sensing in combination with artificial intelligence, particularly Yolo algorithms. After testing various Yolo versions, the target algorithm was implemented on an NVIDIA Jetson Xavier NX edge device. Prototyping of the AI-based thermal detection system was carried out on the DJI S900 multi-rotor aircraft. The final solution was implemented on a vertical take-off and landing aircraft. A summary containing observations and conclusions, as well as perspectives for the development of future work, are included at the end of the paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20804075
Volume :
18
Issue :
7
Database :
Complementary Index
Journal :
Advances in Science & Technology Research Journal
Publication Type :
Academic Journal
Accession number :
180569464
Full Text :
https://doi.org/10.12913/22998624/193368