PERFORMANT AD HOC DATA INGESTION
    61.
    发明申请

    公开(公告)号:US20220174372A1

    公开(公告)日:2022-06-02

    申请号:US17107877

    申请日:2020-11-30

    Inventor: Thomas GUZIK

    Abstract: A video processing engine may receive a request for a video communication session, via a network to produce a video file key that is routed to the video camera. If the video camera is communicatively connected to a Wi-Fi 6 compatible wireless access point, it routes a high-quality video file to the Network Operation Center (NOC). Alternatively, using the video key file, the video camera generates message digests and watermarks that are embedded in a video camera generated high-quality video file and a degraded quality video file. The video camera routes, via the network, the degraded quality video file to the NOC, while the high-quality video file is uploaded to the NOC later. Subsequently, a video processing engine extracts the watermarks from the message digests of the video files and compares them to ensure that the high-quality video file correlates to the degraded quality video file.

    NETWORK OPERATING CENTER (NOC) WORKSPACE INTEROPERABILITY

    公开(公告)号:US20220172604A1

    公开(公告)日:2022-06-02

    申请号:US17107785

    申请日:2020-11-30

    Inventor: Thomas GUZIK

    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.

    Data backup and transfer across multiple cloud computing providers

    公开(公告)号:US10565065B2

    公开(公告)日:2020-02-18

    申请号:US15197709

    申请日:2016-06-29

    Inventor: Thomas Guzik

    Abstract: Data may be stored across the clouds of multiple cloud computing providers to improve data security. Software infrastructure components of an original cloud computing provider storing data via a first virtual machine (VM) may be identified. Software infrastructure components of an alternative cloud computing provider that is to store the data via a second VM may also be identified. A comparison is performed to determine components missing from the alternative cloud computing provider. Accordingly, configuration data may be created to cause a VM configuration utility to provision the second virtual machine with the missing components at a runtime of the second virtual machine. The configuration data and a command to activate creation of the second virtual machine on a cloud of the alternative cloud computing provider is sent to the VM configuration utility. Subsequently, a backup or a transfer of the data from the first virtual machine to the second virtual machine may be initiated.

    DATA ASSET TRANSFERS VIA ENERGY EFFICIENT COMMUNICATIONS

    公开(公告)号:US20190110253A1

    公开(公告)日:2019-04-11

    申请号:US16215091

    申请日:2018-12-10

    Abstract: A portable recording device may receive an access request from a user device via a communication connection that is established between the portable recording device and the user device. The portable recording device may store data files that include one or more data assets that are captured by the portable recording device. The data assets include a video recording, an audio recording, or a multimedia recording. The portable recording device determines whether a device identifier included in the access request indicates the user device is a trusted device or an untrusted device. The portable recording device may provide the user device with unrestricted access to the data files stored on the portable recording device when the user device is a trusted device. Otherwise, the user device may be provided with one or more restricted access privileges with respect to the data files when the user device is an untrusted device.

    DYNAMIC TARGET COVERAGE USING MOBILE ASSETS
    65.
    发明申请

    公开(公告)号:US20190086220A1

    公开(公告)日:2019-03-21

    申请号:US15712077

    申请日:2017-09-21

    Inventor: Thomas Guzik

    Abstract: Techniques for providing target coverage using mobile assets are described, including techniques for dynamically adjusting routing of mobile assets to cover targets when a disruption occurs in the original routing and target coverage plans. Mobile assets are assigned routes to cover target areas and adherence to the routes is monitored. If a first mobile asset experiences a route interruption, other mobile assets are automatically re-routed to cover the target areas originally covered by the route of the first mobile asset.

    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.

    Incident report generation from multimedia data capture

    公开(公告)号:US12192672B2

    公开(公告)日:2025-01-07

    申请号:US17992591

    申请日:2022-11-22

    Abstract: This disclosure describes an apparatus and system for classifying audio and video data captured by a portable recording device. The portable recording device may comprise a camera system enclosure that captures audio and video data that reflects a user's point-of-view perception of their surroundings. The video and/or audio data may be transmitted in real-time, or near real-time, to a Central Multimedia Management (CMM) System at a Network Operations Center, or one or more mobile computing devices, via one or more networks. Alternatively, or additionally, the video and/or audio data may be stored within memory of the portable recording device. This disclosure further describes a CMM system that may act as a central repository of multimedia data from one or more portable recording device(s). The CMM system may further generate and assign incident report forms for each individual instance of real-time data that is recorded by a portable recording device.

    DATA SOURCE CORRELATION TECHNIQUES FOR MACHINE LEARNING AND CONVOLUTIONAL NEURAL MODELS

    公开(公告)号:US20240249170A1

    公开(公告)日:2024-07-25

    申请号:US18626244

    申请日:2024-04-03

    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.

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