Abstract
Since wildfires, whether they occur in a town or elsewhere, are among the most expensive and deadly disasters, there is a lot of research being done in the field of fire detection. This research is being done, in particular, to ensure the safety of people. It endangers not just their lives but also their long-term well- being. The fastest detection and notification of the location of firemen, operational forces, and even people remain the top priorities. The chance of spotting the smoke before even the development of disastrous flames is thought to make it worthwhile, though. The model should also be able to discriminate between smoke and fog to increase its quality. In order to maximize the utility of this instrument, this study discusses these concerns, including the potential use of detection based on infrared images produced by public or private cameras. Real-time detection is also a crucial tenet for developing a system capable of sending warnings with evidence produced from RGB or infrared video camera monitoring, expanding the possibilities investigated by this methodology.
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Hajji, T., Hassani, I.E., Fihri, A.F., Talhaoui, Y., Belmarouf, C. (2023). Fire and Smoke Detection Model for Real-Time CCTV Applications. In: Masrour, T., Ramchoun, H., Hajji, T., Hosni, M. (eds) Artificial Intelligence and Industrial Applications. A2IA 2023. Lecture Notes in Networks and Systems, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-031-43520-1_18
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