These days, most weather disasters like heavy snowfall and rainfall have been caused all over the world due to
environmental pollutions reason. Casualties and property damage are caused by these weather disasters. Therefore it is
important to detect the hazardous conditions and protect human life and property. These damages may be decreased by
continually monitoring water level in the potential flood places with this system and warm the risk. An internet-based
water level monitoring and measuring system (WLMMS) is developed, which analyzes the visual image of the surface of
water and measures the height of it. The system aims to measure water-level in potential areas to overflow like rivers,
bridges and dams. This is installed to indicate the target such as bridges of a river, reservoir water, a dam and coast. In
this paper we introduce WLMMS and there is achieved template matching by correlation to detect water-level with
images captured from CCD camera. Finally experiments demonstrate that water level is accurately measured with the
proposed method by this system.
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