首页> 外国专利> 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

机译:卷积神经网络自动确定建筑物的楼层高度和楼层高度的系统,计算机程序产品和方法

摘要

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.
机译:一种系统,设备,计算机程序产品和方法,无需人工检查财产,即可自动,准确和可靠地检测地块上地面(例如房屋)的地面标高。融合图像处理,人工智能以及沿特定物业足迹的相邻坡度点信息的各个方面,本基于计算机的系统识别出该改进的第一层高度(FFH)和第一层高度(FFE)到改善所在的地形或土地表面。进而,通过了解包裹改进的FFH,可以改进用于估计财产的洪水风险的常规方法,而无需人工检查包裹。

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