Abstract
The Early Flood Detection and Avoidance is a smart system that constantly monitors biological predictions for taking necessary steps to reduce flood damage. The property impairment and losing of lives are the major issue connected to the natural disaster. In this present system, there is lack of efficient device to trigger flood alert. The prevailing procedures are costly, flimsy and wired. Therefore it is not appropriate for outside environment. In the current system, a person has to go to check the water level manually, which is time consuming. Therefore, in this paper, the proposed framework has a Wi-Fi connection, so the gathered information can be received from any place utilizing IoT without any problem. This model is an IoT based which can be remotely monitored. This work informs the likelihood to give a ready framework to conquer the flood hazard. Similarly it adds to the power of organization like fireman, administration office who assist the general public about the cataclysmic event. It is critical to evolve a flood control framework as a component to diminish the flood hazard. Giving a fast criticism on the event of the flood is essential for making occupant aware of make an early move such as clear rapidly to a more secure and higher spot. The reason for flood notice is to distinguish and conjecture undermining flood occasions with the goal that public can be alarmed ahead of time. Flood warnings are exceptionally versatile where insurance through huge scope, hard protections, isn’t attractive. Sensing and GSM modules all together provides better insight regarding the occurrence of flood. Here, the cautioning framework screen suggest to close the dams in regards to the situation.
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Prathaban, B.P., R, S.K., M, J. (2023). IoT Based Early Flood Detection and Avoidance System. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-031-35501-1_55
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