COMPARISON OF MODERN TECHNICAL MEANS OF AIR INTELLIGENCE TO ENSURE THE SECURITY OF THE CONTROLLED ZONE

Authors

DOI:

https://doi.org/10.28925/2663-4023.2021.13.170182

Keywords:

air reconnaissance; quadcopter; drone; UAV; drone; thermal imager; Johnson’s criteria; territory control

Abstract

This article highlights the current practical capabilities of visual and thermal imaging UAV cameras, which allows to effectively and safely identify potentially dangerous objects that may threaten the object of information activities or the safety of citizens or critical infrastructure of Ukraine. Based on many years of flight experience and training specialists for private and public institutions, it was decided to compare the quality characteristics and capabilities of detecting, recognizing, and identifying objects using modern uncrewed vehicles. To ensure public safety and control of the territory, there are models with multiple optical zooms, which from a distance of 500 m allow recognizing the license plate of the car, or versions with a thermal imager, which in the middle of the night can help see the car, the temperature difference against other cars, and the fact that a person comes out of it. Test flights were performed at altitudes from 10 to 100 m, in the open, without bushes, trees, or obstacles. Depending on the camera model and weather conditions, the figures obtained may differ significantly. The main advantages and differences in the quality of visual and thermal imaging cameras for UAVs are described. The quality of the obtained image is demonstrated on real examples and under the same conditions. Detailed visual cameras have been analyzed. According to Johnson’s criteria, several requirements have been developed for quadcopter imaging of objects such as a car and a person from different heights. A work plan has been formed for further research to prepare and provide practical recommendations for pilots who use this technique in protecting the territory of information activities and during service in the air reconnaissance units of the security forces of Ukraine

Downloads

Download data is not yet available.

References

Farlik, J., Kratky, M., Casar, J., & Stary, V. (2019). Multispectral Detection of Commercial Unmanned Aerial Vehicles. Sensors, 19(7), 1517. doi:10.3390/s19071517.

Chyrkov, A., & Prystavka, P. (2018). Suspicious Object Search in Airborne Camera Video Stream. Advances in Computer Science for Engineering and Education, 340–348. doi:10.1007/978-3-319-91008-6_34.

Zhao, Y., Miu, H., Ma, J., & Du, H. (2021). Design of the Reconnaissance UAV based on TGAM. Journal of Physics: Conference Series, 1771(1), 012003. doi:10.1088/1742-6596/1771/1/012003.

Zwęgliński, T. (2020). The Use of Drones in Disaster Aerial Needs Reconnaissance and Damage Assessment—Three-Dimensional Modeling and Orthophoto Map Study. Sustainability, 12(15), 6080. doi:10.3390/su12156080.

Park, J.-H., Choi, S.-C., Ahn, I.-Y., & Kim, J. (2019). Multiple UAVs-based Surveillance and Reconnaissance System Utilizing IoT Platform. 2019 International Conference on Electronics, Information, and Communication (ICEIC). doi:10.23919/elinfocom.2019.8706406.

Opgal (2020, August 9). Johnson’s Criteria for “Thermal Camera and Systems” Performance. https://www.opgal.com/blog/thermal-cameras/johnsons-criteria-for-thermal-camera-and-systems-performance/

Edmund Optics (2020, January 21). Introduction to Modulation Transfer Function. https://www.edmundoptics.com/knowledge-center/application-notes/optics/introduction-to-modulation-transfer-function/

Platonenko, A., Oleksiienko, H. (2021, 28 April). The use of modern technical means of air reconnaissance to protect information at the objects of information activities. III All-Ukrainian scientific-practical online conference “Theoretical and practical problems of using mathematical methods and computer-oriented technologies in education and science,” 1–3.

Platonenko, A., Sokolov, V., Skladannyi, P., & Oleksiienko, H. (2021). Technical Means of Airintelligence to Ensure the Physical Security of Information Activities. Cybersecurity: Education, Science, Technique, 12(4), 143–150. doi:10.28925/2663-4023.2021.12.143150.

DJI (2018, November 9). MAVIC 2 Specs. https://www.dji.com/mavic-2/info#specs

DJI (2020, November 5). DJI Mini 2 Specs. https://www.dji.com/mini-2/specs

DJI (2016, October 27). ZENMUSE Z30 Specs. https://www.dji.com/zenmuse-z30/info#specs

DJI (2019, June 30). Mavic 2 Enterprise Series. https://www.dji.com/mavic-2-enterprise/specs

DJI (2020, May 16). Matrice 300 RTK Specs. https://www.dji.com/matrice-300/specs

DJI (2020, May 29). Zenmuse H20 Series Spec. https://www.dji.com/zenmuse-h20-series/specs

QUADRO (2021, 26 October). QUADRO.UA. https://quadro.ua/

Downloads


Abstract views: 294

Published

2021-09-30

How to Cite

Platonenko, A., Sokolov, V., Skladannyi, P. ., Anosov, A., & Oleksiienko, H. (2021). COMPARISON OF MODERN TECHNICAL MEANS OF AIR INTELLIGENCE TO ENSURE THE SECURITY OF THE CONTROLLED ZONE. Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique», 1(13), 170–182. https://doi.org/10.28925/2663-4023.2021.13.170182

Most read articles by the same author(s)

<< < 1 2 3 4