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公开(公告)号：US12094052B1
公开(公告)日：2024-09-17
申请号：US18098025
申请日：2023-01-17
发明人： Frankie Famighetti , Anand Singh , Savita Bhayal
CPC分类号： G06T15/08 , G06T7/10 , G06T7/543 , G06T7/62 , G06T2207/20081 , G06T2207/20182
摘要： An improved living area estimation system is described herein that can control and/or use data obtained by a residential robotic device that operates within a structure to estimate the living area. In particular, a residential robotic device may navigate along a predetermined or dynamically-determined route on one floor of the structure. As the residential robotic device travels along the route, the residential robotic device can use one or more sensors to track the area covered. The living area estimation system can obtain a traversed area map directly or indirectly from the residential robotic device, use image processing techniques to enhance the traversed area map, and estimate a living area of a floor on which the residential robotic device operated using the enhanced traversed area map. The living area estimation system can then use artificial intelligence and the estimated floor living area to estimate the living area of a structure.
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公开(公告)号：US20240104676A1
公开(公告)日：2024-03-28
申请号：US18370795
申请日：2023-09-20
发明人： Kien Trong Trinh , Daniel Lawrence Gossett , Charles Presley Reynolds , Hans Christian Dumke , Bin He
IPC分类号： G06Q50/16
CPC分类号： G06Q50/165
摘要： An improved parcel growth prediction system that uses parcel data, population data, and artificial intelligence to predict the growth of a geographic area at a micro level (e.g., a real estate parcel level) is described herein. For example, the improved parcel growth prediction system may generate a graph model and apply the graph model as an input to an artificial intelligence model to predict the likelihood that a particular parcel may be developed some time in the future. Ultimately, implementing the improved parcel growth prediction system described herein may lead to more precise placements of infrastructure projects and/or to infrastructure projects that more precisely support the needs of the population of a geographic area as time passes.
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公开(公告)号：US20240086952A1
公开(公告)日：2024-03-14
申请号：US18465092
申请日：2023-09-11
发明人： Brian Battaglia , Heidi Russell , Praveen Chandramohan , Rohnak Habeeb , Heather Burch , Richard Teachout , Stacy Griggs , William McConnell , Rorie Lizenby
IPC分类号： G06Q30/0204 , G06Q50/16 , H04W4/029
CPC分类号： G06Q30/0205 , G06Q50/16 , H04W4/029
摘要： An improved computing system can use mobility data corresponding to a particular mobile device to identify one or more geographic locations to which the mobile device traveled within a certain period of time. The computing system can use parcel data to identify parcels that are located at any one of the identified geographic locations. The computing system can further use the parcel data to identify a subset of the identified parcels that are listed for sale or rent. If the computing system identifies at least one parcel that the mobile device visited that is available on the market, this may indicate that the user who operates the mobile device may be shopping for a home. In response, the computing system can update information about the user to indicate that the user may be shopping for a home.
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公开(公告)号：US11769285B2
公开(公告)日：2023-09-26
申请号：US17878773
申请日：2022-08-01
IPC分类号： G06T11/60 , G06N20/00 , G06F16/29 , G06V30/422 , G06F18/214
CPC分类号： G06T11/60 , G06F16/29 , G06F18/214 , G06N20/00 , G06V30/422 , G06T2200/24
摘要： A hazard visualization system that can use artificial intelligence to identify locations at which hazards have occurred and a cause therein and to predict locations at which hazards may occur in the future is described herein. As a result, the hazard visualization system may reduce the likelihood of structural damage and/or loss of life that could otherwise occur due to natural disasters or other hazards. For example, the hazard visualization system can train an artificial intelligence model to predict the date, time, type, severity, path, and/or other conditions of a hazard that may occur at a geographic location. As another example, the hazard visualization system can train an artificial intelligence model to identify equipment or other infrastructure depicted in geographic images.
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公开(公告)号：US20230229677A9
公开(公告)日：2023-07-20
申请号：US17752728
申请日：2022-05-24
发明人： Jia Guo , Jacques Truong , Pallavi Wankhede , Susanna Park , Patrick Jacolenne , Aaron Robert Wepler , Stanley Wu
IPC分类号： G06Q50/16 , G06F16/901
CPC分类号： G06Q50/16 , G06F16/9024
摘要： 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：US20230044469A1
公开(公告)日：2023-02-09
申请号：US17878773
申请日：2022-08-01
IPC分类号： G06T11/60 , G06N20/00 , G06F16/29 , G06K9/62 , G06V30/422
摘要： A hazard visualization system that can use artificial intelligence to identify locations at which hazards have occurred and a cause therein and to predict locations at which hazards may occur in the future is described herein. As a result, the hazard visualization system may reduce the likelihood of structural damage and/or loss of life that could otherwise occur due to natural disasters or other hazards. For example, the hazard visualization system can train an artificial intelligence model to predict the date, time, type, severity, path, and/or other conditions of a hazard that may occur at a geographic location. As another example, the hazard visualization system can train an artificial intelligence model to identify equipment or other infrastructure depicted in geographic images.
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公开(公告)号：US20220358607A1
公开(公告)日：2022-11-10
申请号：US17752728
申请日：2022-05-24
发明人： Jia Guo , Jacques Truong , Pallavi Wankhede , Susanna Park , Patrick Jacolenne , Aaron Robert Wepler , Stanley Wu
IPC分类号： G06Q50/16 , G06F16/901
摘要： 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：US11061985B2
公开(公告)日：2021-07-13
申请号：US16370686
申请日：2019-03-29
IPC分类号： G06Q50/16 , G06F16/9537 , G06F16/29
摘要： Computerized data management systems and methods for inter-relating, indexing, and organizing data records stored in a database or as computer files are described. The systems and methods can be used for linking or associating data records relating to real estate parcels. A given parcel in a community of parcels may have many neighbors. The systems and methods can identify a reduced set of neighbors of the parcel that have addresses that bracket the address of the parcel.
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公开(公告)号：US20200028876A1
公开(公告)日：2020-01-23
申请号：US16516727
申请日：2019-07-19
IPC分类号： H04L29/06
摘要： A system and method exploit information gained by observing abnormal commonality factors from multiple accounts over a predetermined time frame. The presence of an abnormal commonality factor serves as an indication that a group of accounts may have been compromised by a common actor via information gained by successful phishing of multiple users' information to improperly gain access to their respective accounts. Once this commonality associated with phishing is detected, the system provides a mechanism and process to rapidly respond to the phishing-originated attack to minimize information security damage to the affected accounts.
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公开(公告)号：US09754334B2
公开(公告)日：2017-09-05
申请号：US14716471
申请日：2015-05-19
CPC分类号： G06Q50/16 , G06F17/30073 , G06F17/30241 , G06F17/30477 , G06Q10/06 , G06Q10/10 , G06Q50/165
摘要： 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).
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