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US Patent 10102586 Enhanced unmanned aerial vehicles for damage inspection

Patent 10102586 was granted and assigned to Allstate on October, 2018 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Allstate
Allstate
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Current Assignee
Allstate
Allstate
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
101025860
Patent Inventor Names
Clint J. Marlow0
Bryan Keith Corder0
Date of Patent
October 16, 2018
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Patent Application Number
147004400
Date Filed
April 30, 2015
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Patent Citations Received
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US Patent 12111165 Autonomous vehicle retrieval
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US Patent 11495118 Augmented reality of a building
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US Patent 11494175 Autonomous vehicle operating status assessment
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US Patent 11500377 Autonomous vehicle control assessment and selection
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US Patent 11508138 Systems and methods for a 3D home model for visualizing proposed changes to home
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US Patent 11508054 Systems and methods for utilizing machine-assisted vehicle inspection to identify insurance buildup or fraud
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US Patent 12077296 Utilizing unmanned vehicles to initiate and/or facilitate claims processing
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US Patent 12086861 Systems and methods for commercial inventory mapping including a lidar-based virtual map
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...
Patent Primary Examiner
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Elda G Milef
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Patent abstract

Systems and methods for performing insurance damage inspection by an unmanned aerial vehicle (UAV) are provided. A computing device may receive a request to inspect a property, the request comprising a location of the property. The computing device may identify a UAV from a plurality of UAVs that is located closest to the location of the property from other UAVs in the plurality of UAVs. The computing device may instruct the UAV to travel to the location of the property. The computing device may instruct the UAV to collect damage information on the property using one or more onboard sensors of the UAV. The computing device may determine an amount of insurance payout to approve for repairs to the property based on the damage information collected by the UAV.

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