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Patent Agency Ranking
公开(公告)号：US12185200B2
公开(公告)日：2024-12-31
申请号：US17683164
申请日：2022-02-28
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Ajay Sood , Rajarshi Chatterjee , Manish K. Singh , Amrit Goyal
Abstract: In some implementations, a server device may receive event-based data associated with a user device, wherein the user device is communicatively coupled with the server device via an access point within a physical environment. The server device may determine, using a model, a status of the user device that is based on the event-based data, wherein the model is configured based on historical event data associated with historical events involving a plurality of other user devices that are associated with the user device. The server device may determine, based on the status indicating that the user device has likely been abandoned within the physical environment, a location associated with the user device. The server device may perform an action associated with the user device and the location.
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公开(公告)号：US20230276207A1
公开(公告)日：2023-08-31
申请号：US17683164
申请日：2022-02-28
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Ajay Sood , Rajarshi Chatterjee , Manish K. Singh , Amrit Goyal
Abstract: In some implementations, a server device may receive event-based data associated with a user device, wherein the user device is communicatively coupled with the server device via an access point within a physical environment. The server device may determine, using a model, a status of the user device that is based on the event-based data, wherein the model is configured based on historical event data associated with historical events involving a plurality of other user devices that are associated with the user device. The server device may determine, based on the status indicating that the user device has likely been abandoned within the physical environment, a location associated with the user device. The server device may perform an action associated with the user device and the location.
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公开(公告)号：US20220294027A1
公开(公告)日：2022-09-15
申请号：US17199681
申请日：2021-03-12
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Mukesh V. Choudhary , Ajay Sood , Charles W. Roark
IPC: H01M10/42 , H02J7/00 , H01M10/48 , G01R31/396
Abstract: A battery management system is disclosed herein. The battery management system may monitor a charge cycle of a battery. The battery management system may determine a degradation rate of the battery. The battery management system may determine a usage pattern of the battery based on usage of the battery during a time period. The battery management system may determine, using a battery analysis model, a quantity of remaining charge cycles of the battery based on the degradation rate and the usage pattern. The battery analysis model may be trained based on historical data associated with historical usage of one or more other batteries. The battery management system may determine a status of the battery based on the quantity of remaining charge cycles and the degradation rate. The battery management system may perform, based on a time period associated with a remaining useful life, an action associated with the battery.
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公开(公告)号：US20250147104A1
公开(公告)日：2025-05-08
申请号：US18386428
申请日：2023-11-02
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Charles W. Roark , Ajay Sood
IPC: G01R31/367 , G01R31/382
Abstract: Devices and methods for determining and extending a remaining useful life of a battery are disclosed herein. In an embodiment, the method receives temperature information and state of charge information of the first battery over a duration of time and metric data of the first battery over the duration of time. The method trains a machine learning model based on historical data associated with one or more other batteries and utilizes the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data. In an embodiment, the method also receives environment information of the first battery, trains a machine learning model, and utilizes the trained machine learning model to determine at least one mitigation to extend the remaining useful life of the first battery based on the temperature information, the state of charge information, the metric data, and the environment information.
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公开(公告)号：US20240193066A1
公开(公告)日：2024-06-13
申请号：US18080667
申请日：2022-12-13
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Ajay Sood , Santanak R. Chowdhury , Sonia B. Thomas , Charles W. Roark , Amrit Goyal
CPC classification number: G06F11/3409 , G06N20/00
Abstract: An AI-based recommendation and alerting system and method for identifying performance or productivity degradation in devices when application profiles are changed in a logical group based on business function, site, or an organization are disclosed herein. An example method includes receiving indications of instances of performance degradation associated with devices; determining application profile changes associated with the devices, having occurred prior to the instances of performance degradation; determining a likelihood that the application profile changes are related to the instances of performance degradation associated with the devices by applying a machine learning model executing on to the indications of instances of performance degradation associated with the devices and the application profile changes associated with the one or more devices; and identifying fixes to the application profiles associated with the devices that may be applied to mitigate the instances of performance degradation associated with the devices.
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