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公开(公告)号:US20240362692A1
公开(公告)日:2024-10-31
申请号:US18597514
申请日:2024-03-06
Inventor: Aaron Williams , Scott T. Christensen , Joseph P. Harr , Ryan M. Gross
IPC: G06Q30/0601 , G06Q30/0283
CPC classification number: G06Q30/0611 , G06Q30/0283
Abstract: A computer-implemented method may include, by one or more processors and/or associated transceivers: (1) detecting a signal that a buyer would like to purchase a vehicle, wherein the signal indicates a vehicle type of the vehicle; and/or (2) inputting the vehicle type into a generative artificial intelligence (AI) model. The generative AI model is trained on transactional data associated with vehicle purchases to learn a relationship between vehicle purchase terms and buyer characteristics, and is configured to: (i) identify one or more sellers of the vehicle type; (ii) establish a communication coupling with the one or more sellers of the vehicle type; (iii) automatically negotiate, with the one or more sellers, one or more terms for purchasing available vehicles of the vehicle type; and/or (iv) present the terms to the buyer to facilitate purchase of a particular vehicle of the available vehicles from a particular seller.
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公开(公告)号:US20240289596A1
公开(公告)日:2024-08-29
申请号:US18196700
申请日:2023-05-12
Inventor: Aaron Williams , Scott T. Christensen , Ryan Gross , Joseph P. Harr
IPC: G06N3/0475 , G06Q40/08
CPC classification number: G06N3/0475 , G06Q40/08
Abstract: Systems and methods are described for analyzing home telematics data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, home telematics data at a generative artificial intelligence (AI) model, wherein the home telematics data includes sensor data regarding a property associated with a user; (2) analyzing, by the one or more processors and using the generative AI model, the home telematics data to generate a home telematics analysis for the property; and (3) generating, by the one or more processors and using the generative AI model, a dialogue output (or visual or virtual output for display) to present to the user based upon at least the home telematics analysis, wherein the dialogue output is further generated based upon at least a predicted user understanding of the dialogue output.
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公开(公告)号:US20240232859A9
公开(公告)日:2024-07-11
申请号:US18187631
申请日:2023-03-21
Inventor: Joseph Robert Brannan , Brian N. Harvey , Edward W. Breitweiser , Joseph P. Harr
CPC classification number: G06Q20/3672 , G06Q50/188 , G16H10/60
Abstract: The following relates generally to implementing a medical data non-fungible token (NFT). In some embodiments, one or more processors receive medical data of a plurality of users, and store the medical data of the plurality of users in a first storage location in a medical data database. The one or more processors may then detect a request to purchase a data feed for one or more types of medical data, and identify medical data corresponding to the request in the medical data database. The one or more processors may then store the identified medical data in a second storage location, and mint a medical data NFT that indicates the second storage location.
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公开(公告)号:US20240142329A1
公开(公告)日:2024-05-02
申请号:US18122873
申请日:2023-03-17
Inventor: Nathan L. Tofte , Brian N. Harvey , Vicki King , Joseph P. Harr
CPC classification number: G01M3/005 , F16L55/48 , F16L2101/30
Abstract: A system and method for detecting blockages and/or leaking in a piping system. The travel speed, travel time, movement, images, audio, odor, and/or other data provided by a robot ball moving through the piping system may indicate if a blockage or leak exists. An electronic notification may be sent detailing the blockage and/or leak, which may include a location and corrective action.
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公开(公告)号:US20240126649A1
公开(公告)日:2024-04-18
申请号:US18187607
申请日:2023-03-21
Inventor: Joseph Robert Brannan , Brain N. Harvey , Edward W. Breitweiser , Joseph P. Harr
CPC classification number: G06F11/1415 , G06F16/27 , G06Q20/3672
Abstract: The following relates generally to creating a backup of data and/or settings of a smart device. In some embodiments, one or more processors receive the data and/or settings of the smart device. The one or more processors may then mint a non-fungible token (NFT) that references a link to a data storage area. The data storage area may store: (i) an identification of the smart device, and/or (ii) the received data and/or settings of the smart device. The following also relates generally to providing a warranty of an item. In some embodiments, one or more processors detect an indication of a sale. The one or more processors may then mint a warranty non-fungible token (NFT) that: (a) is owned by the owner of the item, (b) identifies the item, and (c) identifies warranty information of the item.
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公开(公告)号:US20240053816A1
公开(公告)日:2024-02-15
申请号:US17962194
申请日:2022-10-07
Inventor: Brian M. Fields , Nathan L. Tofte , Aaron C. Williams , Joseph P. Harr , Vicki King
CPC classification number: G06F3/011 , G06T7/0004 , G06T15/205 , G06T19/006 , G06Q50/163 , G06N20/00 , G06T2207/20081
Abstract: The following relates generally to using augmented reality (AR) for inspection of a property. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. A property inspection indicia may be identified based upon the correlated overlay layer data.
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17.
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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18.
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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19.
公开(公告)号:US20230286516A1
公开(公告)日:2023-09-14
申请号:US18131776
申请日:2023-04-06
Inventor: Brian M. Fields , Joseph P. Harr , Jeremy Myers
CPC classification number: B60W40/09 , B60W50/0098 , G05D1/0088 , G06Q40/08 , B60W2050/0075 , B60W2050/0088 , B60W2556/10 , B60W2556/45
Abstract: A system and method for measuring a driver’s actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers’ driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.
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公开(公告)号:US20220315014A1
公开(公告)日:2022-10-06
申请号:US17848232
申请日:2022-06-23
Inventor: Brian M. Fields , Joseph P. Harr , Jeremy Myers
Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.
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