Automated camera activation
    12.
    发明授权

    公开(公告)号:US12010464B2

    公开(公告)日:2024-06-11

    申请号:US17490787

    申请日:2021-09-30

    CPC classification number: H04N7/188 F41C33/029 H04N5/907 H04N23/661 H04W4/38

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated camera activation are disclosed. In one aspect, a method includes the actions of receiving, from a sensor, sensor data. The actions further include, based on the sensor data, determining that a firearm has been removed from a holster. The actions further include, based on determining that the firearm has been removed from the holster, generating a software-recognized event that indicates the firearm has been removed from the holster. The actions further include, in response to the software-recognized event that indicates the firearm has been removed from the holster, generating an instruction for a camera to record. The actions further include providing, for output, the instruction for the camera to record.

    Techniques for capturing enhanced images for pattern identifications

    公开(公告)号:US11887375B2

    公开(公告)日:2024-01-30

    申请号:US17352158

    申请日:2021-06-18

    CPC classification number: G06V20/05 H04L67/12

    Abstract: This disclosure describes techniques for capturing still images during video streaming to identify patterns in a region-of-interest on the captured still images. The video streaming may be performed by an imaging device that includes or is communicatively connected to one or more sensors (e.g., radar, light sensor, etc.) The one or more sensors may be configured to perform data measurements such as vehicle speed measurements, light intensity measurements, and/or the like. In one example, during the video streaming, the data measurement may be compared with a corresponding threshold. In this example, the imaging device may be triggered to capture still images of the surrounding area based on the comparison between the data measurement and the corresponding threshold. Thereafter, the still images may be processed to identify the region-of-interest on the still images.

    External device management
    15.
    发明授权

    公开(公告)号:US11818215B1

    公开(公告)日:2023-11-14

    申请号:US17962283

    申请日:2022-10-07

    CPC classification number: H04L67/12 H04N23/60

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to manage devices during emergent conditions are disclosed. In one aspect, a method includes the actions of receiving, by a first computing device, data indicating a function of a second computing device. The actions further include determining, by the first computing device, a context of the second computing device. Based on the context of the second computing device, the actions further include determining, by the first computing device, whether to activate the function of the second computing device. Based on determining whether to activate the function of the second computing device, the actions further include determining, by the first computing device, whether to output, to the second computing device, an instruction to activate the function.

    Portable recording device multimedia classification system

    公开(公告)号:US10958868B2

    公开(公告)日:2021-03-23

    申请号:US16677545

    申请日:2019-11-07

    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.

    Device management during emergent conditions

    公开(公告)号:US12278869B2

    公开(公告)日:2025-04-15

    申请号:US18819195

    申请日:2024-08-29

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to manage devices during emergent conditions are disclosed. In one aspect, a method includes the actions of receiving, by a first computing device, data indicating a function of a second computing device. The actions further include determining, by the first computing device, a context of the second computing device. Based on the context of the second computing device, the actions further include determining, by the first computing device, whether to activate the function of the second computing device. Based on determining whether to activate the function of the second computing device, the actions further include determining, by the first computing device, whether to output, to the second computing device, an instruction to activate the function.

    Server-side remediation for incoming sensor data

    公开(公告)号:US12093125B2

    公开(公告)日:2024-09-17

    申请号:US17944791

    申请日:2022-09-14

    CPC classification number: G06F11/0793 G06F11/0721

    Abstract: Incoming sensor data from a data collection device may be received at the data processing platform that includes the plurality of data processing microservices. A data processing microservice of the data processing platform may detect that the incoming sensor data from the data collection device caused an error. As a result, the incoming sensor data may be queued in a faulty data cache of the data processing platform. Subsequently, at least one of the data processing microservice or the incoming sensor data stored in the faulty data cache may be modified such that the incoming sensor data is processed by the data processing microservice without the error. Following the processing, the incoming sensor data may be deleted from the faulty data queue of the data processing platform.

    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.

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