NETWORK OPERATING CENTER (NOC) WORKSPACE INTEROPERABILITY

    公开(公告)号:US20230206749A1

    公开(公告)日:2023-06-29

    申请号:US18117698

    申请日:2023-03-06

    Inventor: Thomas GUZIK

    CPC classification number: G08C25/00 H04L67/12 G06F16/24568 H04L65/70

    Abstract: This disclosure describes techniques for a consumer application that integrates a model-controller-view (MCV) design pattern with an event streaming platform such as an Apache Kafka™ in a network operation center (NOC) server to support NOC workspace interoperability. The MCV design pattern may include a pattern that divides an application into three main logical components (e.g., model component, controller component, and view component) to handle specific aspects of the application. In one example, the model component decouples the telemetry data streams from an event stream platform, and the controller component filters a queried set of decoupled telemetry data streams to dynamically control views to be rendered in the view component.

    TECHNIQUES FOR IMPROVING AN IMAGE READABILITY USING ONE OR MORE PATTERNS

    公开(公告)号:US20220405519A1

    公开(公告)日:2022-12-22

    申请号:US17353534

    申请日:2021-06-21

    Abstract: This disclosure describes techniques for of improving an image readability via one or more patterns that may be taken using different light wavelengths. A first pattern may include alphanumeric characters, barcodes, Quick Response (QR) codes, or a similar unique code that can be used to identify vehicle license plates, road signals, charts, placards, advertisements, or the like, using a light wavelength such as a visible light wavelength. A paired second pattern may include a copy of the first pattern or a different pattern but constructed with a different material that responds to a different light wavelength e.g., Ultra-Violet (UV) light wavelength. In one example, the paired second pattern may be identified and used as a reference for identifying the first pattern. This technique of using multi-patterns for identifying road signals, charts, placards, advertisements, and particularly the vehicle license plates during extreme weather conditions may improve law enforcement operations or other similar purposes.

    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.

    CONTENT MANAGEMENT SYSTEM FOR TRAINED MACHINE LEARNING MODELS

    公开(公告)号:US20220171750A1

    公开(公告)日:2022-06-02

    申请号:US17107763

    申请日:2020-11-30

    Abstract: A content management system (CMS) manages content for trained machine learning (ML) models. The CMS may develop first, second, and third trained ML models from corresponding datasets, to output respective values of dependent variables derived from data underlying the datasets as independent variables, the respective outputs having statistical confidences in the accuracy of their predictions. The third dataset results from combining the first and second datasets, and the third trained ML model is derived from training on the third dataset. The datasets and ML models are stored in a data store, with the trained ML models associated with respective datasets, the datasets with respective underlying data, the trained ML models with respective statistical confidences and corresponding thresholds, and the trained ML models with metadata indicating independent and dependent variables. The datasets and ML models can be versioned and the provenance of the datasets tracked for future ML modeling.

    HIERARCHICAL DATA INGESTION IN A UNIVERSAL SCHEMA

    公开(公告)号:US20220171746A1

    公开(公告)日:2022-06-02

    申请号:US17107830

    申请日:2020-11-30

    Abstract: This disclosure describes techniques for creating a universal schema with default fields that support sensor formats of different devices. In one example, the universal schema supports substantial equivalents between data fields in different sensor formats. Further, a sensor format may be configured to support inheritance and aggregation of sensor formats in prior devices. Accordingly, the mapping of sensor formats that supports inheritance and aggregation in the universal schema may provide several advantages such as capturing a mapping of substantive equivalents between the fields in different sensor formats.

    DATA AGGREGATION WITH SELF-CONFIGURING DRIVERS

    公开(公告)号:US20220171632A1

    公开(公告)日:2022-06-02

    申请号:US17107714

    申请日:2020-11-30

    Inventor: Thomas GUZIK

    Abstract: A data aggregation implementation includes self-configuring drivers. From the viewpoint of a Network Operation Center (NOC), a plurality of heterogenous content sources provide content that may be of a variety of different types and formats. All of this content must be ingested and stored for retrieval and reporting, analysis, and/or presentation despite many differences in their collection, format, transmission, and quality. In some embodiments, the NOC includes or cooperates with one or more servers to, among other functions, receive content from content sources, request object reflection by the driver of each content source, receive driver attributes in response, and map the metadata of the content for each content source to a universal schema, thereby self-configuring the driver.

    Correlating multiple sources
    40.
    发明授权

    公开(公告)号:US11157521B2

    公开(公告)日:2021-10-26

    申请号:US15197683

    申请日:2016-06-29

    Inventor: Thomas Guzik

    Abstract: A method and system of correlating annotations of media files. A first media file is received from a first media recording device. A file record for the first media file is created in the file table. A determination is made whether the first media file belongs to an existing matter group. Upon determining that the first media file belongs to an existing matter group: the file record is related with the existing matter group in the file table; annotations of the first media file that are flagged to be shared, are related to all media files of the existing matter group; and annotations of all the media files of the existing matter group to the first media file are related. Upon determining that the first media file does not belong to an existing matter group, a new matter group is created for the first media file in the matter table of the central server.

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