Research Article

Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing

Volume: 2023 Number: 18 July 3, 2023
EN

Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing

Abstract

In this study, an adaptive Unmanned Aerial Vehicle (UAV) design and software for fire extinguishing mission has been realized. With a water release mechanism mounted on the designed UAV, water is taken from the determined area and discharged to the determined area. While designing the UAV, attention was paid to ensure that it is fast, light, maneuverable and has a high load carrying capacity. The body is designed to be high strength and lightweight. For this reason, the UAV Octo Quad X8 (4 rotors, 8 motors & propellers) has a chassis type. It is aimed for the UAV to perform this task autonomously. The Python software language will be used to determine the area where the water will be discharged and the Haversine formula will be used. As a result of the experiments, the hit rate of the water to be discharged into the center of the 3-meter pool was 90%.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Early Pub Date

June 1, 2023

Publication Date

July 3, 2023

Submission Date

June 6, 2022

Acceptance Date

December 2, 2022

Published in Issue

Year 2023 Volume: 2023 Number: 18

APA
Düzyol, K., Budak, S., Kurnaz, E., Durdu, A., Samur, İ., Aslanbaş, M., & Ayık, E. (2023). Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. Journal of New Results in Engineering and Natural Sciences, 2023(18), 1-10. https://izlik.org/JA37ZX46ZF
AMA
1.Düzyol K, Budak S, Kurnaz E, et al. Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. JRENS. 2023;2023(18):1-10. https://izlik.org/JA37ZX46ZF
Chicago
Düzyol, Kevser, Serkan Budak, Ender Kurnaz, et al. 2023. “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”. Journal of New Results in Engineering and Natural Sciences 2023 (18): 1-10. https://izlik.org/JA37ZX46ZF.
EndNote
Düzyol K, Budak S, Kurnaz E, Durdu A, Samur İ, Aslanbaş M, Ayık E (July 1, 2023) Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. Journal of New Results in Engineering and Natural Sciences 2023 18 1–10.
IEEE
[1]K. Düzyol et al., “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”, JRENS, vol. 2023, no. 18, pp. 1–10, July 2023, [Online]. Available: https://izlik.org/JA37ZX46ZF
ISNAD
Düzyol, Kevser - Budak, Serkan - Kurnaz, Ender - Durdu, Akif - Samur, İrfan - Aslanbaş, Metehan - Ayık, Emirhan. “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”. Journal of New Results in Engineering and Natural Sciences 2023/18 (July 1, 2023): 1-10. https://izlik.org/JA37ZX46ZF.
JAMA
1.Düzyol K, Budak S, Kurnaz E, Durdu A, Samur İ, Aslanbaş M, Ayık E. Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. JRENS. 2023;2023:1–10.
MLA
Düzyol, Kevser, et al. “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”. Journal of New Results in Engineering and Natural Sciences, vol. 2023, no. 18, July 2023, pp. 1-10, https://izlik.org/JA37ZX46ZF.
Vancouver
1.Kevser Düzyol, Serkan Budak, Ender Kurnaz, Akif Durdu, İrfan Samur, Metehan Aslanbaş, Emirhan Ayık. Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. JRENS [Internet]. 2023 Jul. 1;2023(18):1-10. Available from: https://izlik.org/JA37ZX46ZF