DETECTING CAMERA ACCESS BREACHES
    1.
    发明申请

    公开(公告)号:US20190050606A1

    公开(公告)日:2019-02-14

    申请号:US15675568

    申请日:2017-08-11

    CPC classification number: G06F21/83 G06F21/316 G06F21/554

    Abstract: Examples disclosed herein relate to detecting camera access breaches by an application running on a computing device. The examples enable determining, by a computing device comprising a physical processor that implements machine readable instructions, that a type of camera access of a camera on a computing device is requested by an application running on the computing device, wherein the type of camera access comprises a photo, a video, a facial recognition, a bar code scanning, or object detection; determining, by the computing device and based on a set of camera access types associated with the application, whether the requested type of camera access is permitted; and responsive to determining that the requested type of camera access is not permitted, remediating the unpermitted camera access request by causing display, by the computing device, of an alert on the computing device, where the alert comprises information about an improper access of the camera by the application.

    Determining Car Positions
    2.
    发明申请

    公开(公告)号:US20190035271A1

    公开(公告)日:2019-01-31

    申请号:US15664357

    申请日:2017-07-31

    CPC classification number: G08G1/123 G06K9/00791 G06K2209/27

    Abstract: Examples provided herein describe a method for determining car positions. For example, a physical processor of an edge computing device may receive position data for a legacy car and information about a make and model of the legacy car. The first edge device may also receive, from a sensor-rich car, a set of sensor data about a set of observed cars in the vicinity of the sensor-rich car, a set of position data for the set of observed cars, and a set of visual data of the set of observed cars, wherein the set of observed cars includes the legacy car and the sensor-rich car. The edge device may then determine an updated position for the legacy car based on the set of position data for the set of observed cars, the set of visual data, and the set of sensor data and provide the updated position of the legacy car.

    Real-Time Processing of IoT Data
    3.
    发明申请

    公开(公告)号:US20180316928A1

    公开(公告)日:2018-11-01

    申请号:US15582235

    申请日:2017-04-28

    Abstract: Examples provided herein describe a method for real-time processing of IoT data. For example, a first physical processor of an edge computing device may receive a set of data from a first IoT device communicably coupled to the edge device. The first physical processor may split the set of data into a set of individual data packets. A second physical processor of the edge device process the set of individual data packets by: concurrently applying, by a plurality of instances of the second physical processor of the edge computing device, a learning model to each of a corresponding plurality of data packets from the set of individual data packets; and annotating, by a subset of the plurality of instances of the second physical processor, a corresponding subset of the plurality of data packets with a corresponding output from the concurrent application of the learning model.

    MATCH BLUETOOTH LOW ENERGY (BLE) MOVING PATTERNS

    公开(公告)号:US20200092699A1

    公开(公告)日:2020-03-19

    申请号:US16694324

    申请日:2019-11-25

    Abstract: An example system comprising: a processing resource; and a memory resource storing machine readable instructions executable to cause the processing resource to: receive a Bluetooth Low Energy (BLE) signal transmitted from a user device; generate, from the BLE signal, a BLE moving pattern of the user device, wherein the BLE moving pattern is generated at a different entity than an entity that transmits the BLE signal; track an object carrying the user device via visual information of the object such that a visual moving pattern of the object is generated from the tracking; determine the visual moving pattern matches the BLE moving pattern; and assign, responsive to the determination, an identity obtained from the user device to the object being tracked via the visual information.

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