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公开(公告)号：US12039669B2
公开(公告)日：2024-07-16
申请号：US18198760
申请日：2023-05-17
Inventor： James M. Freeman , Roger D. Schmidgall , Patrick H. Boyer , Nicholas U. Christopulos , Jonathan D. Maurer , Nathan L. Tofte , Jackie O. Jordan, II
IPC: G06T17/20 , B64C39/02 , G01N21/64 , G01N21/88 , G01N22/02 , G01S7/481 , G01S13/89 , G01S15/89 , G01S17/86 , G01S17/89 , G06F30/13 , G06Q30/02 , G06Q30/0283 , G06Q40/08 , G06Q50/16 , G06Q50/163 , G06T1/00 , G06T7/00 , H04N7/18 , H04N13/106 , H04N13/254 , H04N13/271 , H04N13/275 , H04R23/00
CPC classification number: G06T17/20 , B64C39/024 , G01N21/64 , G01N21/8851 , G01N22/02 , G01S7/4817 , G01S13/89 , G01S15/89 , G01S17/86 , G01S17/89 , G06F30/13 , G06Q30/0278 , G06Q30/0283 , G06Q40/08 , G06Q50/16 , G06Q50/163 , G06T1/0007 , G06T7/0002 , H04N7/185 , H04N13/106 , H04N13/254 , H04N13/271 , H04N13/275 , H04R23/008 , G01N2201/06113 , G01N2201/10 , G06T2200/08 , G06T2207/10028 , G06T2207/10032
Abstract: In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
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公开(公告)号：US11783422B1
公开(公告)日：2023-10-10
申请号：US16136387
申请日：2018-09-20
Inventor： Gregory L Hayward , Meghan Sims Goldfarb , Nicholas U. Christopulos , Erik Donahue
Abstract: Techniques for implementing machine learning to improve claim handling are disclosed. In some scenarios, the machine-learning, analytics model may be trained in accordance with data that is relevant to insurance products, such as life and health insurance. A set of labeled historical claims each corresponding to a settlement amount may be analyzed to train an artificial neural network. A claim may be received from a user mobile device, and may be analyzed using the trained artificial neural network to predict a claim settlement, which may be used to generate a settlement offer. The settlement offer may be transmitted to the user's mobile device, and if a manifestation of acceptance is received from the user, then the claim may be automatically paid.
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公开(公告)号：US20230290066A1
公开(公告)日：2023-09-14
申请号：US18198760
申请日：2023-05-17
Inventor： James M. Freeman , Roger D. Schmidgall , Patrick H. Boyer , Nicholas U. Christopulos , Jonathan D. Maurer , Nathan L. Tofte , Jackie O. Jordan, II
IPC: G06T17/20 , H04N13/106 , H04N13/254 , H04N13/271 , H04N13/275 , G01S17/89 , G01S13/89 , B64C39/02 , G06F30/13 , G01S17/86 , G01S15/89 , G06Q40/08 , G06Q50/16 , G06T7/00 , G06Q30/0283 , G06Q30/02 , H04R23/00 , G01N21/64 , G01N21/88 , G06T1/00 , G01S7/481 , H04N7/18 , G01N22/02
CPC classification number: G06T17/20 , H04N13/106 , H04N13/254 , H04N13/271 , H04N13/275 , G01S17/89 , G01S13/89 , B64C39/024 , G06F30/13 , G01S17/86 , G01S15/89 , G06Q40/08 , G06Q50/16 , G06T7/0002 , G06Q30/0283 , G06Q30/0278 , H04R23/008 , G01N21/64 , G01N21/8851 , G06T1/0007 , G01S7/4817 , H04N7/185 , G01N22/02 , G06Q50/163 , G06T2207/10028 , G06T2207/10032 , G06T2200/08 , G01N2201/06113 , G01N2201/10
Abstract: In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
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公开(公告)号：US11270504B2
公开(公告)日：2022-03-08
申请号：US16831518
申请日：2020-03-26
Inventor： James M. Freeman , Roger D. Schmidgall , Patrick H. Boyer , Nicholas U. Christopulos , Jonathan D. Maurer , Nathan L. Tofte , Jackie O. Jordan, II
IPC: G06T17/20 , H04N13/106 , G06T7/00 , H04N13/254 , H04N13/271 , H04N13/275 , G01S17/89 , G01S13/89 , B64C39/02 , G06F30/13 , G01S17/86 , G01S15/89 , G06Q40/08 , G06Q50/16 , G06Q30/02 , H04R23/00 , G01N21/64 , G01N21/88 , G06T1/00 , G01S7/481 , H04N7/18 , G01N22/02
Abstract: In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). The UAV receives an instruction to collect information on at least one aspect of a property, and identifies one or more onboard sensors of the UAV to collect the information on the at least one aspect of the property, where the UAV is configured to identify a first set of one or more onboard sensors to collect a first type of data and to identify a second set of one or more onboard sensors to collect a second type of data. The UAV also collects the information on the at least one aspect of the property using the one or more onboard sensors, and identifies, based on the collected information, a type of damage incurred on the at least one aspect of the property.
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公开(公告)号：US10074171B1
公开(公告)日：2018-09-11
申请号：US15696589
申请日：2017-09-06
Inventor： Jonathan D. Maurer , Nicholas U. Christopulos
CPC classification number: G06T7/001 , G06K9/3216 , G06K9/46 , G06K9/52 , G06K9/6202 , G06K2009/3225 , G06T7/13 , G06T7/60 , G06T7/62 , G06T7/70 , G06T2207/10004 , G06T2207/20048 , G06T2207/20061 , G06T2207/30108
Abstract: Methods, systems, and computer readable media are disclosed for determining a pixel-to-length ratio between a number of pixels disposed over a predetermined length of a reference object within an image of a siding sample and the predetermined length of the reference object. A first and second distance between respective first and second pairs of points within the image corresponding to respective first and second length measurements of the siding sample are determined, as well as a first and second number of pixels disposed between the first and second pair of points, respectively. Furthermore, the method, system, and computer readable medium disclose determining the first length measurement based on the pixel-to-length ratio and the first number of pixels, determining the second length measurement based on the pixel-to-length ratio and the second number of pixels, and identifying a siding product associated with the first and second length measurements.
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Patent Agency Ranking
6.发明授权System and method for automatically measuring the dimensions of and identifying the type of exterior siding 有权用于自动测量外墙板尺寸和识别外墙板类型的系统和方法公开(公告)号：US09536301B1
公开(公告)日：2017-01-03
申请号：US14982074
申请日：2015-12-29
Inventor： Jonathan D. Maurer , Nicholas U. Christopulos
CPC classification number: G06T7/001 , G06K9/3216 , G06K9/46 , G06K9/52 , G06K9/6202 , G06K2009/3225 , G06T7/60 , G06T7/602 , G06T7/62 , G06T7/70 , G06T2207/10004 , G06T2207/20048 , G06T2207/20061 , G06T2207/30108
Abstract: Methods, systems, and computer readable media are disclosed for determining a pixel-to-length ratio between a number of pixels disposed over a predetermined length of a reference object within an image of a siding sample and the predetermined length of the reference object. A first and second distance between respective first and second pairs of points within the image corresponding to respective first and second length measurements of the siding sample are determined, as well as a first and second number of pixels disposed between the first and second pair of points, respectively. Furthermore, the method, system, and computer readable medium disclose determining the first length measurement based on the pixel-to-length ratio and the first number of pixels, determining the second length measurement based on the pixel-to-length ratio and the second number of pixels, and identifying a siding product associated with the first and second length measurements.
Abstract translation: 公开了方法，系统和计算机可读介质，用于确定设置在壁板样本的图像中的参考对象的预定长度上的多个像素与参考对象的预定长度之间的像素与长度之比。 确定与图像对应的图像中相应的第一和第二对点之间的第一和第二距离，以及设置在第一和第二对点之间的第一和第二数量的像素 ， 分别。 此外，方法，系统和计算机可读介质公开了基于像素长度比和第一数量的像素确定第一长度测量，基于像素长度比确定第二长度测量，第二长度测量 像素数，以及识别与第一和第二长度测量相关联的侧板产品。
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7.发明授权System and method for automatically measuring the dimensions of and identifying the type of exterior siding 有权用于自动测量外墙板尺寸和识别外墙板类型的系统和方法公开(公告)号：US08885916B1
公开(公告)日：2014-11-11
申请号：US14228617
申请日：2014-03-28
Inventor： Jonathan D. Maurer , Nicholas U. Christopulos
CPC classification number: G06T7/001 , G06K9/3216 , G06K9/46 , G06K9/52 , G06K9/6202 , G06K2009/3225 , G06T7/60 , G06T7/602 , G06T7/62 , G06T7/70 , G06T2207/10004 , G06T2207/20048 , G06T2207/20061 , G06T2207/30108
Abstract: Methods, systems, and computer readable media are disclosed for determining a pixel-to-length ratio between a number of pixels disposed over a predetermined length of a reference object within an image of a siding sample and the predetermined length of the reference object. A first and second distance between respective first and second pairs of points within the image corresponding to respective first and second length measurements of the siding sample are determined, as well as a first and second number of pixels disposed between the first and second pair of points, respectively. Furthermore, the method, system, and computer readable medium disclose determining the first length measurement based on the pixel-to-length ratio and the first number of pixels, determining the second length measurement based on the pixel-to-length ratio and the second number of pixels, and identifying a siding product associated with the first and second length measurements.
Abstract translation: 公开了方法，系统和计算机可读介质，用于确定设置在壁板样本的图像中的参考对象的预定长度上的多个像素与参考对象的预定长度之间的像素与长度之比。 确定与图像对应的图像中相应的第一和第二对点之间的第一和第二距离，以及设置在第一和第二对点之间的第一和第二数量的像素 ， 分别。 此外，方法，系统和计算机可读介质公开了基于像素长度比和第一数量的像素确定第一长度测量，基于像素长度比确定第二长度测量，第二长度测量 像素数，以及识别与第一和第二长度测量相关联的侧板产品。
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公开(公告)号：US20240378813A1
公开(公告)日：2024-11-14
申请号：US18746768
申请日：2024-06-18
Inventor： James M. Freeman , Roger D. Schmidgall , Patrick H. Boyer , Nicholas U. Christopulos , Jonathan D. Maurer , Nathan L. Tofte , Jackie O. Jordan, II
IPC: G06T17/20 , B64C39/02 , G01N21/64 , G01N21/88 , G01N22/02 , G01S7/481 , G01S13/89 , G01S15/89 , G01S17/86 , G01S17/89 , G06F30/13 , G06Q30/02 , G06Q30/0283 , G06Q40/08 , G06Q50/16 , G06Q50/163 , G06T1/00 , G06T7/00 , H04N7/18 , H04N13/106 , H04N13/254 , H04N13/271 , H04N13/275 , H04R23/00
Abstract: In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
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公开(公告)号：US20230260048A1
公开(公告)日：2023-08-17
申请号：US18139131
申请日：2023-04-25
Inventor： Gregory L. Hayward , Meghan Sims Goldfarb , Nicholas U. Christopulos , Erik Donahue
Abstract: Techniques for implementing machine learning to improve claim handling are disclosed. In some scenarios, the machine-learning, analytics model may be trained in accordance with data that is relevant to insurance products, such as life and health insurance. A set of labeled historical claims each corresponding to a settlement amount may be analyzed to train an artificial neural network, A claim may be received from a user mobile device, and may be analyzed using the trained artificial neural network to predict a claim settlement, which may be used to generate a settlement offer. The settlement offer may be transmitted to the user's mobile device, and if a manifestation of acceptance is received from the user, then the claim may be automatically paid.
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公开(公告)号：US11694404B2
公开(公告)日：2023-07-04
申请号：US17687843
申请日：2022-03-07
Inventor： James M. Freeman , Roger D. Schmidgall , Patrick H. Boyer , Nicholas U. Christopulos , Jonathan D. Maurer , Nathan L. Tofte , Jackie O. Jordan, II
IPC: G06T17/20 , G06T7/00 , G06T1/00 , H04N13/106 , H04N13/254 , H04N13/271 , H04N13/275 , G01S17/89 , G01S13/89 , B64C39/02 , G06F30/13 , G01S17/86 , G01S15/89 , G06Q40/08 , G06Q50/16 , G06Q30/0283 , G06Q30/02 , H04R23/00 , G01N21/64 , G01N21/88 , G01S7/481 , H04N7/18 , G01N22/02
CPC classification number: G06T17/20 , B64C39/024 , G01N21/64 , G01N21/8851 , G01N22/02 , G01S7/4817 , G01S13/89 , G01S15/89 , G01S17/86 , G01S17/89 , G06F30/13 , G06Q30/0278 , G06Q30/0283 , G06Q40/08 , G06Q50/16 , G06Q50/163 , G06T1/0007 , G06T7/0002 , H04N7/185 , H04N13/106 , H04N13/254 , H04N13/271 , H04N13/275 , H04R23/008 , G01N2201/06113 , G01N2201/10 , G06T2200/08 , G06T2207/10028 , G06T2207/10032
Abstract: In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
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