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SYSTEM, COMPUTER PROGRAM PRODUCT AND METHOD FOR USING A CONVOLUTION NEURAL NETWORK TO AUTO-DETERMINE A FLOOR HEIGHT AND FLOOR HEIGHT ELEVATION OF A BUILDING
SYSTEM, COMPUTER PROGRAM PRODUCT AND METHOD FOR USING A CONVOLUTION NEURAL NETWORK TO AUTO-DETERMINE A FLOOR HEIGHT AND FLOOR HEIGHT ELEVATION OF A BUILDING
A system, apparatus, computer program product, and method automatically, accurately, and reliably detect floor elevations of improvements (e.g., houses) on parcels of land without human inspection of the property. Fusing aspects of image processing, artificial intelligence, and information on adjacent grade points along the footprint of a specific property, the present computer-based system identifies a first floor height (FFH), and first floor elevation (FFE) of the improvement with respect to the terrain or surface of the parcel of land on which the improvement is located. In turn, by knowing the FFH of the improvement on the parcel, it is possible to improve on conventional methods for estimating flood risk to a property without requiring a personal inspection of the parcel by a human.
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