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1.发明公开公开(公告)号：US20230351340A1
公开(公告)日：2023-11-02
申请号：US18134964
申请日：2023-04-14
Inventor： EllaKate LeFebre , Darnell Frazier , Zaki Goumandakoye , Kerry Lynne Cote , Kimberly Christine Kloeppel , Steve Amancha , Erik Skyten , Moinur Rahman , Jerome Scott Trayer , Kimberly Doak-Wigginton , Heath Crossland
CPC classification number: G06Q20/06 , G07C5/008 , G06Q2220/00
Abstract: Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle sensor data generated from sensors mounted on or within (a) one or more vehicles, or (b) electronic devices; (2) analyzing the vehicle sensor data to determine one or more parametric events, wherein each of the parametric events is associated with a corresponding severity of loss; (3) generating, for each of the one or more parametric events, a corresponding smart contract that is configured to (i) receive a transaction from a computing device, and (ii) automatically execute on the blockchain when the transaction indicates that a parametric event corresponding to the smart contract has occurred; and (4) deploying the smart contract at a particular address on the blockchain.
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Patent Agency Ranking
公开(公告)号：US20230351379A1
公开(公告)日：2023-11-02
申请号：US18134961
申请日：2023-04-14
Inventor： EllaKate LeFebre , Darnell Frazier , Zaki Goumandakoye , Kerry Lynne Cote , Kimberly Christine Kloeppel , Steve Amancha , Erik Skyten , Moinur Rahman , Jerome Scott Trayer , Kimberly Doak-Wigginton , Heath Crossland
IPC: G06Q20/38
CPC classification number: G06Q20/389
Abstract: Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle sensor data generated from sensors mounted on or within (a) one or more vehicles, or (b) electronic devices; (2) analyzing the vehicle sensor data to determine one or more parametric events, wherein each of the parametric events is associated with a corresponding severity of loss; (3) generating, for each of the one or more parametric events, a corresponding smart contract that is configured to (i) receive a transaction from a computing device, and (ii) automatically execute on the blockchain when the transaction indicates that a parametric event corresponding to the smart contract has occurred; and (4) deploying the smart contract at a particular address on the blockchain.
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公开(公告)号：US20240303795A1
公开(公告)日：2024-09-12
申请号：US18597562
申请日：2024-03-06
Inventor： Rick Lovings , Jody A. Thoele , Erik Skyten , Joann C. Yant , Joshua Sutter , Miguel A. Garcia-Peguero , Shawn R. Harbaugh , Tishauna Wilson
CPC classification number: G06T7/0002 , G06Q40/08 , G06T2200/24 , G06T2207/10032 , G06T2207/20081
Abstract: A computer system may include at least one memory and at least one processor in communication with the at least one memory. The processor may be programmed to: (1) receive photographic data including one or more images of a structure; (2) in response to receiving the photographic data, apply the photographic data to a structure assessment model configured to determine a structural status of the structure, wherein the structure assessment model is trained using historical photographic data including a plurality of historical images of structures; (3) receive an output from the structure assessment model, wherein the output at least one determined characteristic of the structure; and/or (4) based upon the output, transmit a message to a user computing device associated with the structure that causes display of the determined characteristic.
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公开(公告)号：US20240303747A1
公开(公告)日：2024-09-12
申请号：US18597575
申请日：2024-03-06
Inventor： Rick Lovings , Jody A. Thoele , Erik Skyten , Joann C. Yant , Joshua Sutter , Miguel A. Garcia-Peguero , Shawn R. Harbaugh , Tishauna Wilson
CPC classification number: G06Q40/08 , G06V10/761 , G06V2201/10
Abstract: A computer system may include at least one memory and at least one processor in communication with the at least one memory. The processor may be programmed to: (1) receive photographic data including one or more images of a structure; (2) in response to receiving the photographic data, apply the photographic data to a structure assessment model configured to determine a structural status of the structure, wherein the structure assessment model is trained using historical photographic data including a plurality of historical images of structures; (3) receive an output from the structure assessment model, wherein the output at least one determined characteristic of the structure; and/or (4) based upon the output, transmit a message to a user computing device associated with the structure that causes display of the determined characteristic.
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5.发明公开公开(公告)号：US20240303748A1
公开(公告)日：2024-09-12
申请号：US18597587
申请日：2024-03-06
Inventor： Rick Lovings , Jody A. Thoele , Erik Skyten , Joann C. Yant , Joshua Sutter , Miguel A. Garcia-Peguero , Shawn R. Harbaugh , Tishauna Wilson
IPC: G06Q40/08
CPC classification number: G06Q40/08
Abstract: Systems and methods for determining an event and resulting damage using crowdsourced data are disclosed. A computer-implemented method in accordance with the present disclosure may comprise (i) receiving hazard event data; (ii) retrieving supplemental hazard event data (e.g., crowdsourced, donated, and/or public text data, image data, video data, and/or audio data) associated with the hazard event; (iii) applying the supplemental hazard event data to the trained event assessment model to generate model outputs; (iv) determining a recommendation based upon model outputs; and (v) transmitting a message.
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公开(公告)号：US20240062306A1
公开(公告)日：2024-02-22
申请号：US17962816
申请日：2022-10-10
Inventor： Ryan Michael Gross , M Eric Riley, SR. , Jody Ann Thoele , Jordan Jeffers , Shawn Renee Harbaugh , Rick Lovings , Joann C. Yant , Jenny L. Jacobs , Erik Skyten
IPC: G06Q40/08
CPC classification number: G06Q40/08
Abstract: Systems and methods are described for performing analysis of parametric events. The method may include: (1) receiving weather data from a weather oracle network; (2) calculating, using a first trained machine learning algorithm, a likelihood of a trigger activation for a parametric event (or a trigger event) for a user based at least upon the weather data; (3) calculating, using a second trained machine learning algorithm, an estimated loss for the user based at least upon the likelihood of the trigger activation; (4) determining an initial coverage for the user; and (5) determining whether to offer the user updated coverage for the parametric event based at least upon a comparison of the initial coverage and the estimated loss for the user.
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