Fire Detection System Utilizing an Aggregate Technique in UAV and Cloud Computing

Author:

Dhamodaran S.1,Ahamad Shahanawaj2,Ramesh J. V. N.3ORCID,Sathappan S.4,Namdev Arpit5,Kanse Reshma Ramakant6,Pramanik Sabyasachi7ORCID

Affiliation:

1. Sathyabama Institute of Science and Technology, India

2. University of Hail, Saudi Arabia

3. Koneru Lakshmaiah Education Foundation, India

4. Bharathi Institute of Technology, India

5. University Institute of Technology RGPV, India

6. Bharati Vidyapeeth (Deemed), India

7. Haldia Institute of Technology, India

Abstract

One of the new and difficult study fields in the contemporary environment is the idea of smart cities. The cities are bordered by woods, farmland, or open spaces where fires might break out, endangering human lives and wiping out many resources. This chapter uses the idea of sensor networks and UAV technology to develop an early fire detection system that will help eliminate fire incidents. The suggested design uses sensors to track environmental factors and uses sensors and IoT applications to analyze the data. The suggested fire detection system combines cloud computing, UAVs, and wireless sensor technologies. The suggested fire detection system additionally incorporates certain image processing methods to more accurately and efficiently identify the fire occurrence. Rules are also developed in order to increase the genuine detection rate. The suggested fire detection system's simulation results are contrasted with those of several current techniques.

Publisher

IGI Global

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