Deep Learning Based Fire Detection and Fire Extinguisher Using Sound Wave

Abstract

Abstract: Forest fires pose a significant threat to both human life and the environment, resulting in devastating losses of forests, properties, and homes. These recurring disasters are a global concern, prompting extensive research and the development of various solutions to address the issue. Detecting and combating forest fires have been particularly challenging, especially when dealing with vast forested areas. In this study, we propose a novel approach that leverages modern technologies, specifically Artificial Intelligence (AI) and computer vision methods. By utilizing convolutional neural networks, our platform aims to accurately recognize and detect smoke and fire from still images or video input obtained through cameras. The success of the method relies on the choice of the algorithm and the quality of the datasets used, which will be split into training and testing sets for evaluation. Through this innovative approach, we hope to contribute to the effective prevention and early detection of forest fires, safeguarding ecologically healthy forests and the environment.