Abstract
This paper deals with the summarized study of different methodologies involved in detecting the smoke, fire accidents and falling accidents at the living area using image processing techniques. Smoke are usually observed before there is catch of fire and it can be used as one of the important method to predict the fire. This may reduce the risk of detecting the fire before a great loss. Both smoke and fire can cause a huge loss and to detect that usual methods use sensors whose performance may not be accurate, for example false smoke hence we make use of image processing techniques to detect which is cost efficient and accurate. It is also important to detect human fall incidents to magnify the safety at the living place. In the paper there are various techniques mentioned with their accuracy which can be employed in different applications.
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Niveditha, P., Manasa, S., Nikhitha, C.A., Gowda, H.R., Natesh, M. (2020). A Survey on Different Methodologies Involved in Falling, Fire and Smoke Detection Using Image Processing. In: Pandian, A.P., Senjyu, T., Islam, S.M.S., Wang, H. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-24643-3_45
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DOI: https://doi.org/10.1007/978-3-030-24643-3_45
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