Unmanned Aerial Vehicles (UAV) are used in many applications such as forest fire, atmosphere research, ocean observations, geological surveys, weather forecasting, and especially in military applications. While designing Unmanned Aerial Vehicles, which are generally used for reconnaissance, surveillance and operational purposes, in addition to performance and efficiency increasing studies, today researches are also conducted on which type of aircraft is most suitable for what type of mission. In this study, it is aimed at bringing a new and more precise perspective based on visuals to forest fire early detection systems. In this period, since the number of systems used for utilizing unmanned aerial vehicles technology is increasing day by day, it would be appropriate to use unmanned aerial vehicles with perception capability to minimize the destruction of forests, which are the lungs of the world, except for the natural flow, and to manage the workforce and time resources in the best way.
In this study, metal oxide CO2 detector was produced by screen printing technique to detect the CO2 gas from the sensors to observe and made the necessary controls in case of a
fire in the areas that can be reached or not reached by the UAV.
Primary Language | English |
---|---|
Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | October 16, 2021 |
Submission Date | August 24, 2021 |
Published in Issue | Year 2021 Volume: Volume 1 Issue: Issue 1 |
Content of this journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.