EXTERNAL DEVICE MANAGEMENT
    2.
    发明公开

    公开(公告)号:US20240121305A1

    公开(公告)日:2024-04-11

    申请号:US18373954

    申请日:2023-09-27

    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.

    AUDIO CONTENT SEARCHING IN MULTI-MEDIA
    3.
    发明公开

    公开(公告)号:US20240013801A1

    公开(公告)日:2024-01-11

    申请号:US17859328

    申请日:2022-07-07

    CPC classification number: G10L25/51 G06F16/632 H04L65/61

    Abstract: Techniques for audio content searching in multi-media content are described. Such techniques may be utilized to enhance investigator productivity while reviewing captured multi-media content, in particular, audio and video evidence captured during an incident. ML models may be trained to identify audio content portions and automatically generate metadata tags. ML models may be trained to track audio with a set of characteristics throughout a set of multi-media content items. ML models may be trained, and captured multi-media content may be processed centrally, for example, at a network operations center (NOC). Alternatively, or in addition, at least some model training and/or content processing may be performed at the network's edge, for example, performed by a content capturing device such as a body-worn camera and/or at a capture-local communications hub such as an in-vehicle computer of a law enforcement vehicle.

    FACILITATING OBJECT TRACKING FOR PORTABLE CAMERA IMAGES

    公开(公告)号:US20220398748A1

    公开(公告)日:2022-12-15

    申请号:US17344409

    申请日:2021-06-10

    Abstract: Described herein are techniques that may be used to facilitate object tracking within a video captured using a portable recording device based on movements associated with that recording device. Such techniques may comprise receiving, from an image capture device, a current image data and an indication of an offset value, determining at least one object to be identified within the image data, determining a previous location of the at least one object within previous image data, and determining, based on the previous location and the offset value, a region within the image data to be attributed to the at least one object, the region comprising less than the current image. The techniques may further comprise determining a location of the at least one object within the region using at least one object recognition technique.

    AUTOMATED CAMERA ACTIVATION
    6.
    发明公开

    公开(公告)号:US20240291947A1

    公开(公告)日:2024-08-29

    申请号:US18659293

    申请日:2024-05-09

    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.

    PERFORMING UPDATES OVER MULTIPLE DEVICES
    7.
    发明公开

    公开(公告)号:US20240248697A1

    公开(公告)日:2024-07-25

    申请号:US18100435

    申请日:2023-01-23

    CPC classification number: G06F8/65 H04L67/34

    Abstract: This disclosure describes techniques for a device configured as a hub to facilitate software updating of hub-connected devices. To some degree or another, these hub-connected devices may often provide overlapping functionality. Operating the hub-connected devices at full or near full functionality may result in duplicative services, some of which may be unused. In some embodiments, the duplicative services may be leveraged, for example, to perform the software updating of the hub-connected devices with least disruption on its functionality and desired use during field operations.

    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.

    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.

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