التفاصيل البيبلوغرافية
| العنوان: |
Artificial Intelligence You Only Look Once -- Based Unmanned Aerial System for Remote Sensing in Security Surveillance. |
| المؤلفون: |
Gutt, Jakub, Kaczor, Michał, Paleta, Grzegorz, Polec, Krzysztof, Stiborski, Kacper, Strzępek, Filip, Czyba, Roman, Czekalski, Piotr, Domin, Jarosław, Gebeyehu, Nebiyat |
| المصدر: |
Advances in Science & Technology Research Journal; 2024, Vol. 18 Issue 7, p364-378, 15p |
| مصطلحات موضوعية: |
ARTIFICIAL neural networks, REMOTE sensing, ARTIFICIAL intelligence, THERMOGRAPHY, MACHINE learning, VERTICALLY rising aircraft |
| مستخلص: |
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] |
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| قاعدة البيانات: |
Complementary Index |