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

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.

Authors

Publication Details

Journal
Advances in Science and Technology – Research Journal
Published
2024-10-05
DOI
https://doi.org/10.12913/22998624/193368
Citations
3
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
3.90
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Piotr Czekalski, Jarosław Domin, Roman Czyba, Grzegorz Paleta et al.
3 citations
Advances in Science and Technology – Research Journal
Infrared Target Detection Methodologies
3.90
article

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

Piotr Czekalski, Jarosław Domin, Roman Czyba, Grzegorz Paleta, Jakub Gutt, Nebiyat Gebeyehu, Michał Kaczor, Krzysztof Polec, Kacper Stiborski, Filip Strzępek
article en
3 citations

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.

Advances in Science and Technology – Research JournalVol. 18(7)
Openalex Percentile: Top 6%
Infrared Target Detection Methodologies
3.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.