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公开(公告)号：US20230385943A1
公开(公告)日：2023-11-30
申请号：US18233268
申请日：2023-08-11
Applicant: CoreLogic Solutions, LLC
Inventor： David V. Pedersen , Neil Pearson
CPC classification number: G06Q40/08 , G06N20/00 , H04N7/185 , G06V20/176 , G06F18/28
Abstract: A damage prediction system that uses hazard data and/or aerial images to predict future damage and/or estimate existing damage to a structure is described herein. For example, the damage prediction system may use forecasted hazard data to predict future damage or use actual hazard data to estimate existing damage. The damage prediction system may obtain hazard data in which structures were or will be impacted by a hazard. The damage prediction system can then generate a flight plan that causes an aerial vehicle to fly over the impacted parcels and capture images. The damage prediction system can use artificial intelligence to process the images for the purpose of identifying potential damage. The damage prediction system can also use a hazard model, the hazard data, and structure characteristics to generate a damage score. The damage prediction system can then use the processed images and/or damage score to generate a virtual claim.
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公开(公告)号：US11727500B2
公开(公告)日：2023-08-15
申请号：US17897032
申请日：2022-08-26
Applicant: CoreLogic Solutions, LLC
Inventor： David V. Pedersen , Neil Pearson
CPC classification number: G06Q40/08 , G06F18/28 , G06N20/00 , G06V20/176 , H04N7/185
Abstract: A damage prediction system that uses hazard data and/or aerial images to predict future damage and/or estimate existing damage to a structure is described herein. For example, the damage prediction system may use forecasted hazard data to predict future damage or use actual hazard data to estimate existing damage. The damage prediction system may obtain hazard data in which structures were or will be impacted by a hazard. The damage prediction system can then generate a flight plan that causes an aerial vehicle to fly over the impacted parcels and capture images. The damage prediction system can use artificial intelligence to process the images for the purpose of identifying potential damage. The damage prediction system can also use a hazard model, the hazard data, and structure characteristics to generate a damage score. The damage prediction system can then use the processed images and/or damage score to generate a virtual claim.
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公开(公告)号：US11555701B2
公开(公告)日：2023-01-17
申请号：US16864342
申请日：2020-05-01
Applicant: CORELOGIC SOLUTIONS, LLC
Inventor： Wei Du , David Frederick Smith , Taylor Bryant Brown
Abstract: A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
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公开(公告)号：US11373257B1
公开(公告)日：2022-06-28
申请号：US16198665
申请日：2018-11-21
Applicant: CoreLogic Solutions, LLC
Inventor： Jia Guo , Jacques Truong , Pallavi Wankhede , Susanna Park , Patrick Jacolenne , Aaron Robert Wepler , Stanley Wu
IPC: G06Q50/16 , G06F16/23 , G06N20/00 , G06F16/248
Abstract: A data linking system is described herein that links data records corresponding to a particular real estate property even if there are inconsistencies in the data records, the physical presence of the real estate property has changed over time, and/or the data records use different terminology. In some cases the data records are matched using a trained machine learning model. The data linking system can optionally generate a visualization of the data record linkage via interactive user interfaces. By linking data records despite the issues described above, the data linking system reduces the number of navigational steps a user performs to obtain data associated with a property and/or reduces data processing times. The disclosed system may be used to generate and maintain a comprehensive database of substantially all properties within a jurisdiction, in which a unique identifier is assigned to each property.
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公开(公告)号：US20200076814A1
公开(公告)日：2020-03-05
申请号：US16559289
申请日：2019-09-03
Applicant: Corelogic Solutions, LLC
Inventor： Matthew David COHEN , Albert Noble McELMON, III , Daniel W. RAY
IPC: H04L29/06
Abstract: A method, system and computer program product assess risk of an unauthorized API login and mitigate damage from an unauthorized API login. The method includes collecting in a database license attributes of a user license, user profile attributes, and database content change attributes; receiving an API login request; comparing features of the API login request to at least one of the database license attributes, user profile attributes, and database content change attributes against a predetermined threshold; assessing a risk of the an unauthorized API login request based on a result of the comparison; and based on a level of the assessed risk, implemented protective action to mitigate harm that may result from an unauthorized user from accessing information or services from a computer system by way of an API.
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Patent Agency Ranking
公开(公告)号：US10528811B2
公开(公告)日：2020-01-07
申请号：US15644385
申请日：2017-07-07
Applicant: CORELOGIC SOLUTIONS, LLC
Inventor： Wei Du , Thomas C. Jeffery , Howard Botts
Abstract: A system, method and computer program product cooperate to extract a building footprint from other data associated with a property. Imagery data of real property is input to a computing device, the imagery data containing a plurality of parcels. A processing circuit detects contrasts of candidate man-made structures on a parcel of the plurality of parcels. The candidate man-made structures are then associated with the parcel. A building footprint is then extracted by distinguishing a man-made structure on said parcel from natural terrain, recognizing that man-made structures when viewed from above generally show a strong contrast from background terrain. Remaining candidate man-made structures are removed by observing that they having features inconsistent with predetermined extraction logic.
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公开(公告)号：US20160171080A1
公开(公告)日：2016-06-16
申请号：US15050705
申请日：2016-02-23
Applicant: Corelogic Solutions, LLC
Inventor： Derek John BROUWER, II , Peter A. NAGY , Sunkyu HWANG
CPC classification number: G06F16/285 , G06F16/22 , G06F16/29 , G06Q10/0838 , G06Q40/025 , G06Q50/16
Abstract: System and methods are disclosed that attempt to verify data related to a parcel against mapping and addressing data. If the data cannot be verified, then an enhanced normalization process may be performed. The enhanced normalization process may attempt to group the parcel with some other parcels based on parcel characteristics. If the grouping is successful, then normalization may be performed on the grouping. Normalization may involve checking whether the grouping satisfies a set of grouping criteria.
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公开(公告)号：US20150254790A1
公开(公告)日：2015-09-10
申请号：US14716471
申请日：2015-05-19
Applicant: CORELOGIC SOLUTIONS, LLC
Inventor： Brett T. Pearcy , Matthew E. Karli , Charles P. Reynolds , Hugo A. Tagle
CPC classification number: G06Q50/16 , G06F17/30073 , G06F17/30241 , G06F17/30477 , G06Q10/06 , G06Q10/10 , G06Q50/165
Abstract: In some embodiments, scripts may be used to perform parcel data acquisition, conversion, and clean-up/repair in an automated manner and/or through graphical user interfaces. The scripts may be used, for example, to repair geometries of new parcel data, convert multi-part parcel geometries to single part parcel geometries (explode), eliminate duplicate parcel geometries, append columns, create feature classes, and append feature classes. These scripts may be executed in a predetermined manner to increase efficiency. In some embodiments, different combinations of attributes may be appended to stored parcel data. In some embodiments, a tracking application may be used to track information about sources of data. In some embodiments, a tracking application may be used to track which system users are assigned to specific tasks (e.g., in a data acquisition project).
Abstract translation: 在一些实施例中，脚本可以用于以自动方式和/或通过图形用户界面来执行包裹数据采集，转换和清理/修复。 例如，可以使用脚本来修复新的宗地数据的几何，将多部分宗地几何体转换为单个零件包裹几何（爆炸），消除重复的包裹几何，附加列，创建要素类和附加要素类。 这些脚本可以以预定的方式执行以提高效率。 在一些实施例中，可以将不同的属性组合附加到所存储的包裹数据。 在一些实施例中，可以使用跟踪应用来跟踪关于数据源的信息。 在一些实施例中，可以使用跟踪应用来跟踪哪些系统用户被分配给特定任务（例如，在数据获取项目中）。
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公开(公告)号：US20150095211A1
公开(公告)日：2015-04-02
申请号：US14283494
申请日：2014-05-21
Applicant: CoreLogic Solutions, LLC
Inventor： Geoffrey BELL , Matthias BLUME , Michael MARON , Rich PAULSON
IPC: G06Q40/02
CPC classification number: G06Q40/025
Abstract: Systems and methods are disclosed that can enable a user to search for real estate properties by specifying search criteria that may exclude personal information. The systems and methods then can subsequently conduct a search for real estate property listings based partly on the specified search criteria and access loans associated with the matched properties. The system and methods then can perform analysis of the loans to identify loan and consumer characteristics and generate an electronic report that includes a representation of the loan and consumer characteristics.
Abstract translation: 公开了系统和方法，其可以使用户能够通过指定可以排除个人信息的搜索标准来搜索房地产属性。 然后，系统和方法可以随后基于指定的搜索标准和访问与匹配的属性相关联的贷款来搜索房地产列表。 然后，系统和方法可以对贷款进行分析，以确定贷款和消费者特征，并生成包括贷款和消费者特征表征的电子报告。
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10.发明申请公开(公告)号：US20150019262A1
公开(公告)日：2015-01-15
申请号：US13939806
申请日：2013-07-11
Applicant: CoreLogic Solutions, LLC
Inventor： Wei DU , Thomas C. JEFFERY , Howard BOTTS
IPC: G06Q40/08
Abstract: Computer-based systems and methods are disclosed for modeling and predicting flash flood risks for real estate properties. In some embodiments, the systems and methods can predict flash flood risks for real estate properties by considering a variety of factors, including watershed hydrology characteristics, land surface characteristics, meteorological characteristics, and/or property characteristics. In some embodiments, the systems and methods can improve determination of investment metrics or automated valuations by considering flash flood risks in determining the investment metrics or automated valuations.
Abstract translation: 公开了基于计算机的系统和方法来建模和预测房地产业务的洪水风险。 在一些实施例中，系统和方法可以通过考虑各种因素来预测房地产特性的洪水风险，包括流域水文特征，地表特征，气象特征和/或性质特征。 在一些实施例中，系统和方法可以通过在确定投资指标或自动估价中考虑闪电洪水风险来改善投资指标或自动估值的确定。
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