Data source correlation techniques for machine learning and convolutional neural models

    公开(公告)号:US11977993B2

    公开(公告)日:2024-05-07

    申请号:US17107865

    申请日:2020-11-30

    CPC classification number: G06N7/01 G06N20/00

    Abstract: A data model computing device receives a first data model with a first set of attributes, a first margin of error, a first set of predictions, and an underlying data set. Subsequently, the data model computing device receives a second data model with a second set of attributes, as the test data for a machine learning module. Based on the first and second data model, the machine learning function generates a second set of predictions and a second margin of error. The data model computing device performs a statistical analysis on the first and second set of predictions and the first and second margin of error to determine if the second set of predictions converge with the first set of predictions and second margin of error is narrower than the first margin of error, to determine if the second data model improves the prediction results of the machine learning module.

    MAINTAINING DATA SECURITY IN A MULTI-TENANT MICROSERVICE ENVIRONMENT

    公开(公告)号:US20240045980A1

    公开(公告)日:2024-02-08

    申请号:US17881073

    申请日:2022-08-04

    CPC classification number: G06F21/6218 G06F16/2219

    Abstract: A microservices platform that includes a plurality of microservices for providing data processing functions for data of multiple tenants may be implemented. Each tenant of the multiple tenants may be provided with an assigned binary large object (blob) data store in a blob storage platform that is only accessible by a corresponding tenant using a corresponding tenant identifier. Furthermore, each tenant of the multiple tenants may be assigned a corresponding local database at each microservice of the plurality of microservices that is only accessible by the corresponding tenant using the corresponding tenant identifier.

    ADAPTIVE POWER AND COMMUNICATION ROUTING FOR BODY-WORN DEVICES

    公开(公告)号:US20220385325A1

    公开(公告)日:2022-12-01

    申请号:US17331563

    申请日:2021-05-26

    Abstract: A body-worn hub may detect that a first battery charge level of a first battery in a body-worn device connected to the body-worn hub via a wired connection is at or below a first battery charge level threshold. Accordingly, the body-worn hub may route power from the body-worn hub to the body-worn device via the wired connection to charge the first battery when a second battery charge level of a second battery in the body-worn hub is above a second battery charge level threshold. However, in response to the first battery of the body-worn device being charged to a third battery charge level that is above the first battery charge level threshold or the second battery charge level dropping to the second battery charge level threshold, the body-worn hub may stop routing power to the body-worn device via the wired connection.

    Sentiment analysis for situational awareness

    公开(公告)号:US11468671B2

    公开(公告)日:2022-10-11

    申请号:US17107824

    申请日:2020-11-30

    Abstract: A Network Operation Center may receive video data, sensor data and third-party data for a situation that a police officer or security service personnel has been called to. Using the video data, a sentiment analysis engine may generate a sentiment data file that contains the sentiment of at least one individual involved in the situation. Using the video data, sensor data, third party data and the sentiment data file, the sentiment analysis engine may generate a safety quality value for the situation. Subsequently, the safety quality value is compared to a predetermined sentiment value to establish a safety rating and confidence interval for the situation. Furthermore, the sentiment analysis engine may generate a situational awareness file, that contains the safety rating and confidence interval, and route it to the field computing device of the officer for evaluation and implementation.

    Performing image collection adjustment within a body-mounted camera

    公开(公告)号:US11438514B1

    公开(公告)日:2022-09-06

    申请号:US17328940

    申请日:2021-05-24

    Abstract: Described herein are techniques that may be used to provide automatic adjustment of image selection for image generation. In some embodiments, such techniques may comprise receiving, at an image capture device, raw image data that comprises information about a number of pixels, receiving, at the image capture device, sensor data comprising information about a position of the image capture device, determining, based at least in part on the received sensor data, an offset value, selecting, based on the determined offset value, a portion of the raw image data to be included within an image, and generating the image from the portion of the raw image data.

    Dynamic utilization of multiple devices

    公开(公告)号:US12261912B2

    公开(公告)日:2025-03-25

    申请号:US17962193

    申请日:2022-10-07

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to dynamically utilize multiple devices are disclosed. In one aspect, a method includes the actions of receiving, by a first computing device, data indicating a first function of a second computing device. The actions further include receiving, by the first computing device, data indicating a second function of a third computing device. The actions further include determining, by the first computing device, that the first function of the second computing device and the second function of the third computing device perform a same function. The actions further include generating, by the first computing device, an instruction for the third computing device to disable the second function. The actions further include providing, for output by the first computing device and to the third computing device, the instruction for the third computing device to disable the second function.

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