Objects and Features Neural Network
    2.
    发明申请

    公开(公告)号:US20200034976A1

    公开(公告)日:2020-01-30

    申请号:US16049107

    申请日:2018-07-30

    Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.

    MATCH BLUETOOTH LOW ENERGY (BLE) MOVING PATTERNS

    公开(公告)号:US20190132696A1

    公开(公告)日:2019-05-02

    申请号:US15796320

    申请日:2017-10-27

    CPC classification number: H04W4/80 H04W4/023 H04W4/027

    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.

    Match bluetooth low energy (BLE) moving patterns

    公开(公告)号:US11012841B2

    公开(公告)日:2021-05-18

    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.

    Determining car positions
    5.
    发明授权

    公开(公告)号:US10380889B2

    公开(公告)日:2019-08-13

    申请号:US15664357

    申请日:2017-07-31

    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.

    Video active region batching
    6.
    发明授权

    公开(公告)号:US11074453B2

    公开(公告)日:2021-07-27

    申请号:US15884939

    申请日:2018-01-31

    Abstract: An example video analytics device can include a memory, a processor executing instructions stored in the memory, an active region detector to identify a plurality of active regions of a plurality of video streams, wherein the plurality of active regions are sections in the plurality of video streams that change from a first frame to a second frame, and a bin packer communicatively coupled with the processor to combine the plurality of active regions to produce a multi-batch of an individual slice, wherein the multi-batch of the individual slice is a batch including the plurality of active regions that is processed at once.

    Objects and features neural network

    公开(公告)号:US11158063B2

    公开(公告)日:2021-10-26

    申请号:US16049107

    申请日:2018-07-30

    Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.

    Match Bluetooth low energy (BLE) moving patterns

    公开(公告)号:US10516982B2

    公开(公告)日:2019-12-24

    申请号:US15796320

    申请日:2017-10-27

    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.

Patent Agency Ranking