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241.发明公开公开(公告)号：US20230325935A1
公开(公告)日：2023-10-12
申请号：US18206889
申请日：2023-06-07
Inventor： Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant , Michael Shawn Jacob
IPC: G06Q40/08 , G06T7/73 , G06T7/20 , H04N5/44 , H04N7/18 , G06T7/246 , G06T7/00 , G06V20/10 , G06V20/40 , G06Q40/00 , G06F18/22 , G06V10/42 , G01C11/02 , G06T11/60 , G06T17/05 , B64C39/02 , B64D47/08
CPC classification number: G06Q40/08 , G06T7/75 , G06T7/20 , H04N5/44 , H04N7/185 , G06T7/246 , G06T7/00 , G06V20/10 , G06V20/41 , G06Q40/00 , G06F18/22 , G06V10/42 , G01C11/02 , G06T11/60 , G06T17/05 , B64C39/024 , B64D47/08 , G06T2207/30236 , G06T2207/30252 , G06V20/44 , B64U10/00
Abstract: Unmanned aerial vehicles (UAVs) may facilitate insurance-related tasks. UAVs may actively be dispatched to an area surrounding a property, and collect data related to property. A location for an inspection of a property to be conducted by a UAV may be received, and one or more images depicting a view of the location may be displayed via a user interface. Additionally, a geofence boundary may be determined based on an area corresponding to a property boundary, where the geofence boundary represents a geospatial boundary in which to limit flight of the UAV. Furthermore, a navigation route may be determined which corresponds to the geofence boundary for inspection of the property by the UAV, the navigation route having waypoints, each waypoint indicating a location for the UAV to obtain drone data. The UAV may be directed around the property using the determined navigation route.
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公开(公告)号：US20230316286A1
公开(公告)日：2023-10-05
申请号：US18207081
申请日：2023-06-07
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
CPC classification number: G06Q20/4016 , G06Q20/24 , G06Q20/3224 , G06Q20/409
Abstract: In a method of preventing fraudulent online financial transactions, a request to authorize an online, financial transaction may be received, where the transaction is associated with a debit or credit card account. A computing device at which information associated with the debit or credit card account was entered for the transaction may be identified, and a first geographic location at which the computing device resides may be determined. Based upon geolocation data indicating one or more geographic locations of the authorized cardholder, it may be determined that the authorized cardholder was at a second geographic location at a time of the transaction. If the second geographic location does not correspond to the first geographic location, the financial transaction may be prevented from being executed.
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公开(公告)号：US20230316285A1
公开(公告)日：2023-10-05
申请号：US18207069
申请日：2023-06-07
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
CPC classification number: G06Q20/4016 , G06Q20/24 , G06N20/00 , G06Q20/3224 , G06Q20/409
Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.
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公开(公告)号：US20230311901A1
公开(公告)日：2023-10-05
申请号：US18207590
申请日：2023-06-08
Inventor： Aaron Scott Chan , Kenneth J. Sanchez
CPC classification number: B60W40/08 , B60W50/12 , G05D1/0061 , G06Q50/30 , G06Q10/02 , G05D1/0088 , G06V40/10 , B60W2040/0872 , B60W2040/0836
Abstract: Systems and methods for improving vehicular safety are provided. According to certain aspects, an electronic device may receive and analyze image data depicting an individual located within a vehicle. The electronic device may also access certain data related to a condition of the individual, and may accordingly determine whether the individual is fit to operate the vehicle. If the individual is unfit to operate the vehicle, the electronic device may alter autonomous operation of the vehicle.
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245.发明授权公开(公告)号：US11776059B1
公开(公告)日：2023-10-03
申请号：US16259312
申请日：2019-01-28
Inventor： Sateesh Mannar
IPC: G06Q40/08 , G06Q10/10 , G10L15/26 , G06F40/174
CPC classification number: G06Q40/08 , G06F40/174 , G06Q10/10 , G10L15/26
Abstract: A voice analysis (VA) computer system for processing verbally inputted data into an online insurance claim submission application is provided. The VA computer system is configured to receive a first set of digital sound data in connection with a request to submit a virtual insurance claim for an applicant, and enable a voice-input tool on a user computing device for the applicant to input registration data, the registration data included in a second set of digital sound data. The VA computer system is configured to retrieve a text-based template based upon a portion of the registration data, the text-based template including descriptor phrases and blank data fields. The VA computer system may be configured to receive the registration data as the second set of digital sound data, translate the received second set into text inputs, and store within a database, each descriptor phrase linked to the corresponding response associated therewith.
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Patent Agency Ranking
公开(公告)号：US11776052B1
公开(公告)日：2023-10-03
申请号：US17168642
申请日：2021-02-05
Inventor： Benjamin Tarmann , Richard R. Rhodes , Lokesh Awasthy , Denise DeRoeck , Jaime Skaggs , Jacob J. Alt , Shanna L. Phillips , Shyam Tummala , Matthew S. Meierotto , Richard D. Groonwald , Brian J. Hughes
CPC classification number: G06Q40/03 , G06Q30/0278 , G06Q50/16 , H04L9/0637 , H04L9/50
Abstract: A computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.
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公开(公告)号：US20230306158A1
公开(公告)日：2023-09-28
申请号：US18319291
申请日：2023-05-17
Inventor： Timothy Joel Davis , Amy Engelhorn
CPC classification number: G06F30/20 , G06T19/006 , G06Q40/08
Abstract: An augmented reality (AR) system for generating and displaying a pre-disaster Enhanced Situation Visualization (ESV) is provided. The AR system may include an ESV computing device, a user computing device operated by a user and a reference database. The user computing device may transmit a reference request message to the ESV device, the reference request message including an image and/or GPS location of a property. The ESV computing device may determine the subject of the image is the property, retrieve reference information including peril maps associated with the property from the reference database, and determine situation information specific to the subject. The reference and situation information including a loss estimate may be displayed on the user computing device to provide an ESV of the property. The ESV may be used for insurance-related activities, such as handling, adjusting, and/or generating an insurance policy, premium, and/or discount, and/or generating insurance-related recommendations.
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公开(公告)号：US20230298108A1
公开(公告)日：2023-09-21
申请号：US18202365
申请日：2023-05-26
Inventor： Ronny S. Bryant , Stacie A. McCullough , Mitchell J. Hill , Jacob J. Alt , Jaime Skaggs , Shawn M. Call , Eric Bellas , Vicki King , Melinda Teresa Magerkurth
IPC: G06Q40/08 , G06Q30/0601 , H04W4/40 , G06F16/27 , B60W50/00 , G07C5/00 , G07C5/08 , H04L67/1061 , H04L67/12 , G06Q10/10 , G06Q20/38 , H04L9/06 , H04L12/28 , H04L9/32 , G06Q30/0283 , G16H10/60
CPC classification number: G06Q40/08 , G06Q30/0623 , H04W4/40 , G06F16/27 , B60W50/00 , G07C5/008 , G07C5/0808 , H04L67/1061 , H04L67/12 , G06Q10/10 , G06Q20/389 , H04L9/0643 , H04L12/2803 , H04L9/32 , G06Q30/0283 , G16H10/60 , B60W2756/10 , H04L2012/2847 , G06F16/903
Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for tracking changes for a user. Example methods may include implementing one or more servers, each of the one or more servers maintaining a copy of a distributed ledger; detecting a change in a policy or claim status for a user; responding to the detection of the change, including: (i) generating, via a server of the one or more servers, a transaction record for the distributed ledger including data corresponding to the change; (ii) generating a hash value representative of at least the transaction record using at least a generated nonce value; and (iii) storing the transaction record and the hash value to each copy of the distributed ledger at the one or more servers; and performing a function based upon the transaction record stored to the distributed ledger.
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公开(公告)号：US20230290141A1
公开(公告)日：2023-09-14
申请号：US18199005
申请日：2023-05-18
Inventor： Emily Suits , David J. Podwojski , Veronica Ann McNear
IPC: G06V20/10 , B64C39/02 , G06Q40/08 , G06F3/04842 , G06F3/04847 , G06F3/04883 , G06F18/22
CPC classification number: G06V20/176 , B64C39/024 , G06F3/04842 , G06F3/04847 , G06F3/04883 , G06F18/22 , G06Q40/08 , G06F2203/04806 , G06F2203/04808 , H04L67/01
Abstract: A catastrophe analysis computing system includes a processor; an electronic network; and a memory having stored thereon non-transitory computer-executable instructions that, when executed by the processor, cause the system to: cause a client device to receive a exposure map layer; cause a filter graphical user interface and wind speed layers to be displayed in a graphical user interface; receive an input; and update the map graphical user interface. In another aspect, a method includes causing a client device to receive an exposure map layer; causing a filter graphical user interface and wind speed layers to be displayed in a graphical user interface; receiving an input; and updating the map graphical user interface. A method includes receiving an exposure map; displaying a filter graphical user interface; receiving an input; and updating a map graphical user interface.
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公开(公告)号：US20230289974A1
公开(公告)日：2023-09-14
申请号：US18199267
申请日：2023-05-18
Inventor： Ryan Knuffman
CPC classification number: G06T7/11 , G06N3/08 , G06N3/04 , G06T2207/20084 , G06T2207/10028 , G06T2207/20081
Abstract: A computer-implemented method of training a deep artificial neural network includes receiving a three-dimensional point cloud and training the deep artificial neural network by subdividing the three-dimensional point cloud, and updating weights of the deep artificial neural network. A computing system includes a processor; and a memory having stored thereon computer-executable instructions that, when executed by the processor, cause the computing system to receive a three-dimensional point cloud and train the deep artificial neural network by subdividing the three-dimensional point cloud, and updating weights of the deep artificial neural network. In yet another aspect, a non-transitory computer-readable medium includes computer-executable instructions that when executed, cause a computer to receive a three-dimensional point cloud and train the deep artificial neural network by subdividing the three-dimensional point cloud, and updating weights of the deep artificial neural network.
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