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公开(公告)号：US11854181B2
公开(公告)日：2023-12-26
申请号：US17989432
申请日：2022-11-17
Inventor： Ryan Knuffman , Bradley A. Sliz , Lucas Allen
IPC: G06T7/00 , G06Q40/08 , G07C5/00 , G06N20/00 , B64C39/02 , G05D1/00 , G06Q10/20 , G06Q30/0283 , G06Q10/1093 , G06Q30/0601 , G07C5/08 , B64U101/30
CPC classification number: G06T7/0004 , B64C39/024 , G05D1/0038 , G05D1/0088 , G06N20/00 , G06Q10/1097 , G06Q10/20 , G06Q30/0283 , G06Q30/0633 , G06Q40/08 , G06T7/0008 , G07C5/006 , G07C5/0808 , B64U2101/30 , B64U2201/10 , B64U2201/20 , G05D2201/0207 , G06T7/0002 , G06T2207/10032 , G06T2207/20081 , G06T2207/30248 , G06T2207/30252 , G06T2207/30268
Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.
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公开(公告)号：US11310253B1
公开(公告)日：2022-04-19
申请号：US16842351
申请日：2020-04-07
Inventor： Rajiv Shah , Shannon Morrison , Jeremy Cunningham , Taylor Smith , Sripriya Sundararaman , Jing Wan , Jeffrey Hevrin , Ronald Duehr , Brad Sliz , Lucas Allen
IPC: H04L29/06
Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.
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3.发明公开公开(公告)号：US20240087107A1
公开(公告)日：2024-03-14
申请号：US18516828
申请日：2023-11-21
Inventor： Ryan Knuffman , Bradley A. Sliz , Lucas Allen
IPC: G06T7/00 , B64C39/02 , G05D1/00 , G06N20/00 , G06Q10/1093 , G06Q10/20 , G06Q30/0283 , G06Q30/0601 , G06Q40/08 , G07C5/00 , G07C5/08
CPC classification number: G06T7/0004 , B64C39/024 , G05D1/0038 , G05D1/0088 , G06N20/00 , G06Q10/1097 , G06Q10/20 , G06Q30/0283 , G06Q30/0633 , G06Q40/08 , G06T7/0008 , G07C5/006 , G07C5/0808 , B64U2101/30 , G05D2201/0207 , G06T7/0002 , G06T2207/10032 , G06T2207/20081 , G06T2207/30248 , G06T2207/30252 , G06T2207/30268
Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.
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公开(公告)号：US11080841B1
公开(公告)日：2021-08-03
申请号：US16668837
申请日：2019-10-30
Inventor： Ryan Knuffman , Bradley A. Sliz , Lucas Allen
Abstract: One or more processing elements may be trained to identify vehicle damages or vehicle damages based upon training data. A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed using the trained processing elements to identify a damage to the vehicle or defect of the vehicle.
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公开(公告)号：US10824535B1
公开(公告)日：2020-11-03
申请号：US16266447
申请日：2019-02-04
Inventor： Rajiv Shah , Shannon Morrison , Jeremy Cunningham , Taylor Smith , Sripriya Sundararaman , Jing Wan , Jeffrey Hevrin , Ronald Duehr , Brad Sliz , Lucas Allen
Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.
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Patent Agency Ranking
公开(公告)号：US20200311825A1
公开(公告)日：2020-10-01
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 Moon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
IPC: G06Q40/08
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：US20210264528A1
公开(公告)日：2021-08-26
申请号：US15900245
申请日：2018-02-20
Inventor： Bradley A. Sliz , Lucas Allen , Jeremy T. Cunningham
Abstract: Systems and methods for analyzing image data to assess policy management opportunities are disclosed. According to certain aspects, a server may access aerial and other image data depicting a set of properties, and may analyze the aerial and other image data to identify the set of properties and determine a set of conditions associated with the set of properties. The server may further assess, based upon the set of conditions and a set of previous conditions, whether corresponding policies associated with the set of properties are eligible for renewal, discounts, or other benefits for property owners. If the policies are eligible for renewal or discounts the server may automatically renew the policies, or apply the discounts or otherwise update the policies, respectively.
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公开(公告)号：US20210027390A1
公开(公告)日：2021-01-28
申请号：US17070318
申请日：2020-10-14
Inventor： Ryan Knuffman , Bradley A. Sliz , Lucas Allen
Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.
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公开(公告)号：US10726500B1
公开(公告)日：2020-07-28
申请号：US16452625
申请日：2019-06-26
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：US10726494B1
公开(公告)日：2020-07-28
申请号：US15403296
申请日：2017-01-11
Inventor： Rajiv Shah , Michael Shawn Jacob , Sripriya Sundararaman , Jeffrey David Hevrin , Jeffrey Kinsey , Phillip Sangpil Moon , EllaKate LeFebre , Sunish Menon , Jeffrey Wilson Stoiber , James Nolan Dykeman , Erin Ann 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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