Abstract
Abstract. This paper presents the application of an intelligent flame and smoke detection platform based on artificial vision using Deep Neural Networks (DNN). An acoustic fire extinguisher can be connected to such a platform. In light of recent research, the use of acoustic technology is an environmentally friendly way of extinguishing flames. One of the advantages is then extinguishing immediately after positive detection of flames or smoke (without unnecessary time delay), which is a new combination in the field of fire protection. The authors contribution is the presentation of the conception of the intelligent acoustic extinguisher and the research work made to accomplish that including algorithms and tests. The main objective of the paper is to present the possibilities of acoustic extinguishing and fire detection using selected deep neural network models in embedded systems.
Highlights
One of the elements of smart environment and smart agriculture is the desire to use modern technologies in everyday life to improve the standard of living of citizens and increase safety in the broader sense
Examples include halon fire extinguishers, which are being replaced by pure agents containing a mixture of selected extinguishing gases
Based on the analysis of the literature review, it may be concluded that the intensification of research on fire extinguishing with the use of acoustic waves occurred in the early 21st century
Summary
One of the elements of smart environment and smart agriculture is the desire to use modern technologies in everyday life to improve the standard of living of citizens and increase safety in the broader sense. Numerous studies have been carried out around the world to analyze the causes of fires, their detection, and the search for fast and efficient extinguishing techniques. Sometimes fires are a consequence of direct, often irresponsible human behavior In their effects, they cause significant material and immaterial (ecological) losses. Due to the enormity of losses caused by fires, there is a need to search for or improve ways to detect and fight fires. Satellite imagery can be applied to detect fires, with the time scale and spatial resolution being the drawbacks of this technique. There is an increase in the expenses incurred for crisis management and an increased interest in using robots for this purpose (Harabin et al, 2020; Wilk-Jakubowski, 2019)
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