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公开(公告)号：US11348437B1
公开(公告)日：2022-05-31
申请号：US17066478
申请日：2020-10-08
Inventor： Phillip Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey W. Stoiber
Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
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公开(公告)号：US11049189B2
公开(公告)日：2021-06-29
申请号：US16902536
申请日：2020-06-16
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hevrin , Jeffrey G. Kinsey , Phillip Sangpil Moon , EllaKate LeFebre , Sunish Menon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US11017480B2
公开(公告)日：2021-05-25
申请号：US16906408
申请日：2020-06-19
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hevrin , Jeffrey G. Kinsey , Phillip Sangpil Moon , Ellakate LeFebre , Sunish Menon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US10922948B1
公开(公告)日：2021-02-16
申请号：US16716609
申请日：2019-12-17
Inventor： Phillip Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey W. Stoiber
Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
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公开(公告)号：US20200327791A1
公开(公告)日：2020-10-15
申请号：US16913779
申请日：2020-06-26
Inventor： Phillip Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey W. Stoiber
IPC: G08B21/10 , G08B27/00 , G01C21/34 , G01S19/42 , G06Q40/08 , G08B21/18 , G08B25/00 , G08G1/01 , G06Q50/26 , H04Q9/00
Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
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Patent Agency Ranking
公开(公告)号：US20200320639A1
公开(公告)日：2020-10-08
申请号：US16906408
申请日：2020-06-19
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hervin , Jeffrey G. Kinsey , Phillip Sangpil Moon , Ellakate LeFebre , Sunish Menon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US10733868B2
公开(公告)日：2020-08-04
申请号：US16600026
申请日：2019-10-11
Inventor： Phillip Sangpil Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey Wilson Stoiber
IPC: G08B21/10 , G08B27/00 , G01C21/34 , G01S19/42 , G06Q40/08 , G08B21/18 , G08B25/00 , G08G1/01 , G06Q50/26 , H04Q9/00
Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
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公开(公告)号：US10304313B1
公开(公告)日：2019-05-28
申请号：US16211525
申请日：2018-12-06
Inventor： Phillip Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey W. Stoiber
Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
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公开(公告)号：US10057664B1
公开(公告)日：2018-08-21
申请号：US15396969
申请日：2017-01-03
Inventor： Phillip Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey W. Stoiber
CPC classification number: G08B21/10 , G06Q50/265 , G08B27/001 , H04Q9/00
Abstract: A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
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公开(公告)号：US20240005411A1
公开(公告)日：2024-01-04
申请号：US18466769
申请日：2023-09-13
Inventor： Sunish Menon , Weixin Wu , Bernardo Bracero , Jeffrey Wilson Stoiber , Stan E. Gozur , Jeremy Shawn Fogg , Phillip Sangpil Moon
CPC classification number: G06Q40/08 , G07C5/0841 , G07C5/008 , G06N20/00
Abstract: Provided herein is a modeling computing device including a processor in communication with a memory device. The processor is configured to: (i) retrieve, from the at least one memory device, historical data associated with a plurality of users, wherein the historical data includes historical liability amount data and historical user data, and wherein the historical user data includes at least one of historical personal information, historical vehicle telematics data, and historical environmental data, (ii) generate a model that relates the historical liability amount data and the historical user data, (iii) store the model in the at least one memory device, (iv) collect current user data associated with a candidate user, wherein the current user data includes current personal information, current vehicle telematics data, and current environmental data, and (v) analyze the collected current user data using the generated model.
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