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公开(公告)号：US11859620B1
公开(公告)日：2024-01-02
申请号：US17245668
申请日：2021-04-30
Inventor： Nathan L. Tofte , Jonathan Christopher Hull , John Donovan , Richard Jan Tjaden
CPC classification number: F04D15/0218 , F04D15/0209 , G05B15/02 , G08B21/182 , H04L12/2823
Abstract: A sump pump system may detect and utilize motion or acceleration of water in sump basins when implementing control of sump pumps. To detect the motion or acceleration, the sump pump system may utilize a sensor that is configured to detect motion or acceleration, such as an accelerometer or gyroscope. The sump pump system may identify a water level in a sump basin based on the detected motion or acceleration, which may be compared to a reading or expected signal from the sump pump system's “typical” sensor (e.g., float switch) that is used to detect one or more water levels. In this manner, the sump pump system may detect a malfunctioning level sensor that is used by the pump to detect high-water and low-water marks at which the sump pump activates and deactivates, respectively.
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公开(公告)号：US20230419262A1
公开(公告)日：2023-12-28
申请号：US18467420
申请日：2023-09-14
Inventor： Ryan Michael Gross , Jody Ann Thoele , Joseph Robert Brannan , Eric R. Moore
IPC: G06Q10/10 , G06F16/29 , G06Q30/0204 , G06Q10/047 , G01C21/34 , G06F16/245 , G06Q40/08 , G06Q50/14
CPC classification number: G06Q10/10 , G06F16/29 , G06Q30/0205 , G06Q10/047 , G01C21/3484 , G06F16/245 , G06Q40/08 , G06Q50/14 , G06N20/00
Abstract: An adaptive mapping (AM) computing device having at least one processor in communication with at least one memory device is provided. The AM computing device may be configured to retrieve a plurality of tasks associated with a user, and retrieve geographic mapping data. The AM computing device may also generate a route model based upon the retrieved plurality of tasks and the retrieved geographic mapping data. The AM computing device may execute the route model to determine an optimal route, and transmit, to the user, an optimized travel plan based upon the optimal route.
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223.发明公开公开(公告)号：US20230401650A1
公开(公告)日：2023-12-14
申请号：US18455483
申请日：2023-08-24
Inventor： Craig Cope
IPC: G06Q40/08 , H04L67/306 , G07C5/08 , G06Q20/12 , G06Q50/30 , G06Q10/10 , G06Q30/0283 , G06F16/22
CPC classification number: G06Q40/08 , H04L67/306 , G07C5/085 , G06Q20/127 , G06Q50/30 , G06Q10/10 , G06Q30/0284 , G06F16/2282
Abstract: A transportation analytics (TA) computing device may be provided. The TA computing device may include at least one processor in communication with at least one memory device. The at least one processor may be configured to: (1) receive, from a user mobile device corresponding to a user, telematics data corresponding to a trip taken using a transportation platform; (2) store, for each trip, the telematics data in a database in association with a trip identifier and a timestamp; (3) perform a lookup in the database to identify, based upon the timestamps, telematics data corresponding to a time period; (4) calculate, in response to identifying the telematics data, based upon the identified telematics data, a premium amount; and/or (5) transfer, in response to calculating the premium amount, the premium amount from a transportation platform account associated with the transportation platform to an insurer account associated with an insurer.
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公开(公告)号：US20230401647A1
公开(公告)日：2023-12-14
申请号：US18237689
申请日：2023-08-24
Inventor： Jeffrey S. Myers , Kenneth J. Sanchez , Michael L. Bernico
CPC classification number: G06Q40/08 , G06N3/08 , H04N7/185 , G06N3/04 , G06N20/00 , G06V10/82 , G06V30/19173 , G06V40/169 , G06Q30/0207
Abstract: A method of training and using a machine learning model that controls for consideration of undesired factors which might otherwise be considered by the trained model during its subsequent analyses of new data. For example, the model may be a neural network trained on a set of training images to evaluate an insurance applicant based upon an image or audio data of the insurance applicant as part of an underwriting process to determine an appropriate life or health insurance premium. The model is trained to probabilistically correlate an aspect of the applicant's appearance with a personal and/or health-related characteristic. Any undesired factors, such as age, sex, ethnicity, and/or race, are identified for exclusion. The trained model receives the image (e.g., a “selfie”) of the insurance applicant, analyzes the image without considering the identified undesired factors, and suggests the appropriate insurance premium based only on the remaining desired factors.
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公开(公告)号：US11837087B2
公开(公告)日：2023-12-05
申请号：US17730023
申请日：2022-04-26
Inventor： Scott T. Christensen , Gregory L. Hayward
IPC: G08G1/0965 , G05D1/00 , G07C5/00 , G08B25/00 , G08G1/0967 , G08G1/16
CPC classification number: G08G1/0965 , G05D1/0055 , G05D1/0088 , G08B25/006 , G08G1/096725 , G08G1/161 , B60W2556/45 , G05D2201/0213
Abstract: Systems and methods for situational modification of autonomous vehicle operation are disclosed. According to aspects, a computing device may detect the occurrence of an emergency event and may determine a current operation of an autonomous vehicle that may be associated with the emergency event. The computing device may determine a modification to operation of the autonomous vehicle, where the modification may represent a violation of a roadway regulation that may enable effective handling of the emergency event. The computing device may generate a set of instructions for the autonomous vehicle to execute to cause the autonomous vehicle to undertake the operation modification.
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Patent Agency Ranking
公开(公告)号：US11836748B2
公开(公告)日：2023-12-05
申请号：US17516804
申请日：2021-11-02
Inventor： Brian N. Harvey , Joseph Robert Brannan , J. Lynn Wilson , Matthew Eric Riley, Sr. , Ryan Gross
IPC: G06Q30/02 , G06Q30/0202 , G06Q50/30 , G06Q30/0645
CPC classification number: G06Q30/0202 , G06Q30/0645 , G06Q50/30
Abstract: Embodiments described herein generate a first set of prompts, the first set of prompts configured to prompt a vehicle owner for a first set of answers used to learn preferred vehicle renter characteristics; receive the first set of answers; generate, based upon the first set of answers, a second set of prompts, the second set of prompts configured to prompt the owner for a second set of answers used to learn additional preferred vehicle renter characteristics; receive the second set of answers; predict user preference value(s) of a profile of the owner based upon the second set of answers, wherein the user preference value(s) define criteria for sharing a vehicle associated with the profile with vehicle renters who satisfy the criteria; apply the criteria to potential vehicle renters; and cause an indication of the vehicle to be displayed only to the potential vehicle renters who satisfy the criteria.
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227.发明公开公开(公告)号：US20230387481A1
公开(公告)日：2023-11-30
申请号：US17980977
申请日：2022-11-04
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott T. Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: H01M10/4257 , G06Q40/08 , H01M2010/4271 , H01M2220/20
Abstract: A server and non-transitory computer-readable storage medium storing instructions for monitoring one or more batteries of an electric vehicle (EV) comprising computing instructions for (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.
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228.发明公开公开(公告)号：US20230387480A1
公开(公告)日：2023-11-30
申请号：US17980944
申请日：2022-11-04
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott Thomas Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: H01M10/4257 , G06Q40/08 , H01M2010/4271 , H01M2220/20 , H02J2310/48
Abstract: Computer-implemented methods of monitoring one or more batteries of an electric vehicle (EV) include (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.
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公开(公告)号：US11830079B2
公开(公告)日：2023-11-28
申请号：US17682795
申请日：2022-02-28
Inventor： William J. Leise , Douglas A. Graff , Anthony McCoy , Jaime Skaggs , Shawn M. Call , Stacie A. McCullough , Wendy H. Clayton , Melinda Teresa Magerkurth , Kim E. Flesher , Travis Charles Runge
IPC: H04L9/40 , G06Q40/08 , H04L9/06 , G06Q10/10 , H04L9/32 , G06F16/29 , G06F16/182 , G06F16/903
CPC classification number: G06Q40/08 , G06F16/183 , G06F16/29 , G06F16/90335 , G06Q10/10 , H04L9/0637 , H04L9/3247 , H04L63/101
Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.
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公开(公告)号：US11828949B1
公开(公告)日：2023-11-28
申请号：US16363554
申请日：2019-03-25
Inventor： Michael L. Bernico , Jeffrey S. Myers
IPC: G06Q40/08 , G02B27/09 , F21V9/30 , F21K9/61 , F21K9/64 , F21S41/16 , F21S41/14 , F21S41/39 , F21S41/24 , F21S41/20 , F21S45/47 , H01S5/00 , F21Y115/10 , F21Y115/30 , F21Y101/00
CPC classification number: G02B27/0927 , F21K9/61 , F21K9/64 , F21S41/14 , F21S41/16 , F21S41/24 , F21S41/285 , F21S41/39 , F21V9/30 , G02B27/0994 , G06Q40/08 , F21S45/47 , F21Y2101/00 , F21Y2115/10 , F21Y2115/30 , H01S5/0064
Abstract: A system and method for evaluating an insurance applicant as part of an underwriting process to determine one or more appropriate terms of life or other insurance coverage, such as premiums. A processing element employing a neural network is trained to correlate aspects of appearance and/or voice with personal and/or health-related characteristic. A database of images and/or voice recordings of individuals with known personal and/or health-related characteristics is provided for this purpose. The processing element is then provided with an image and/or voice recording of the insurance applicant. The image may be an otherwise non-diagnostic image, such as an ordinary “selfie.” The trained processing element analyzes the image of the insurance applicant, with their permission or affirmative consent, to determine the personal and/or health-related characteristic for the insurance applicant, and then, based upon that analysis, facilitates the underwriting process and/or suggests the one or more appropriate terms of insurance coverage.
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