Wildfire early detection system

Joseph Medina Molina; Berny Bravo; Randall Melendez; Santiago Goenaga-Buelvas; Samira Ortiz-Rodriguez; Eduardo Castillo-Charris; Miguel Goenaga-Jimenez; Alcides Alvear-Suarez

doi:10.1117/12.2664146

14 June 2023 Wildfire early detection system

Joseph Medina Molina, Berny Bravo, Randall Melendez, Santiago Goenaga-Buelvas, Samira Ortiz-Rodriguez, Eduardo Castillo-Charris, Miguel Goenaga-Jimenez, Alcides Alvear-Suarez

Author Affiliations +

Proceedings Volume 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII; 125470U (2023) https://doi.org/10.1117/12.2664146
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

According to studies, today, we have seen an exponential increase in forest fires, on the island, in the United States and other places in the world. Due to climate change and extreme weather conditions, wildfires have started to appear in parts of the world that have never experienced this before. Many solutions are already being used to monitor forest fires such as: GPS, weather balloons, aerial drones, and many others. Since all these approaches use imaging sensors, they must wait until wildfires are large enough to be detected. This situation becomes a problem because forest fires would be too large to be easily controlled. This research proposes a solution that aims to attack this problem by using a microphone in the device located on the ground. Additional sensors will be incorporated, such as a digital thermometer to register humidity and temperature, a gas sensor to detect different types of gases, and long-range communications that would help our device to communicate with a network of other similar devices. Also, Internet of Things (IoT) will be implemented to send live sensor data to a central command. By focusing on the detection of forest fires, we can not only detect their occurrence in a timelier manner, but also the proposed system will have the ability to predict fires by monitoring meteorological data through smart networks.

Conference Presentation

Citation Download Citation

Joseph Medina Molina, Berny Bravo, Randall Melendez, Santiago Goenaga-Buelvas, Samira Ortiz-Rodriguez, Eduardo Castillo-Charris, Miguel Goenaga-Jimenez, and Alcides Alvear-Suarez "Wildfire early detection system", Proc. SPIE 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, 125470U (14 June 2023); https://doi.org/10.1117/12.2664146

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