US Patent Issued to CORELOGIC SOLUTIONS on Dec. 2 for "Use of a convolutional neural network to auto-determine a floor height and floor height elevation of a building" (Virginia, Texas, California Inventors)

ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,243, issued on Dec. 2, was assigned to CORELOGIC SOLUTIONS LLC (Irvine, Calif.).

"Use of a convolutional neural network to auto-determine a floor height and floor height elevation of a building" was invented by Wei Du (Springfield, Va.), David Frederick Smith (Oakland, Calif.) and Taylor Bryant Brown (Euless, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method using a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing...