| Autor: |
Patil, Anita Keshav, Rajini, A. R., Gudivada, Vijaya Kumar, Vishwanath, Neerugatti Varipallay, Kayalvili, S., Tripathi, Vikas |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2690 Issue 1, p1-8, 8p |
| Abstrakt: |
The WildFire is the most alarming threat in the ecosystem. Wildfire is one of the human-made or nature-made hazards. There is no such kind of propulsion methods involved in reducing this effect. The proposed system aims to resolve this problem by constructing a Fire fighting machine with an AI-based assistant model. It is now constructed as a field trial. The main aim of the Machine is to produce artificial rains through the drones which will be having the sodium bicarbonate for frosting the cloud to produce rain droplets and reduce the advent of the fire. Thus the data will be automatically be captured and stored in the cloud-based system through the Internet of Things. In this method, we are using Tensorflow for assisting the drones. According to the IoT cloud, the Think speaks is used because it is the open-source platform for accessing data module sets. It is the most efficient and reliable cloud database. The data stored in the cloud are used for providing the AI machines to train themselves with appropriate data to resolve the problem more accurately. The sensors are fixed in the soils and in the trees that tend to provide constant data's about the change in the ecosystem so that the fire can be easily identified once it starts over. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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