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Use of a Convolutional Neural Network to Auto-Determine a Floor Height and Floor Height Elevation of a Building

CoreLogic Solutions, LLC

A patent family: one line of work, grouped by real continuity rather than by a technology label inferred from titles. 3 of these applications claim priority to application 62/842,023, filed May 2, 2019. A shared origin can cover several different claimed inventions, which is why members here may not share a title. In-force patents first, soonest term end first, then patent number. Expired patents follow, in the same order.
PatentTitleHolderStatusExpiresTime remainingConfidence
US 12,056,611Use of a Convolutional Neural Network to Auto-Determine a Floor Height and Floor Height Elevation of a Building
In force
 · High confidence
Corelogic Solutions, LLCIn force
High confidence
US 12,488,243Use of a Convolutional Neural Network to Auto-Determine a Floor Height and Floor Height Elevation of a Building
In force
 · High confidence
Corelogic Solutions, LLCIn force
High confidence
US 11,555,701Use of a Convolutional Neural Network to Auto-Determine a Floor Height and Floor Height Elevation of a Building
In force
 · High confidence
CoreLogic Solutions, LLCIn force
High confidence
Application 19/404,061Use of a Convolutional Neural Network to Auto-Determine a Floor Height and Floor Height Elevation of a Building
Pending
Not granted
CoreLogic Solutions, LLCPendingNot grantednot computed
4 of 4 records shown. In-force patents first, soonest term end first, then patent number. Expired patents follow, in the same order.
3 of these are in force and held by CoreLogic Solutions, LLC.
Updated Nov 14, 2026 · includes USPTO assignment & status data published Nov 14, 2026 and grant & fee data published Nov 10, 2026 (weekly) · how we know
Computed patent terms end on the dates shown. Related patents and pending applications may cover overlapping subject matter.
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