Generating augmented reality vehicle information for a vehicle captured by cameras in a vehicle lot

    公开(公告)号:US11037225B2

    公开(公告)日:2021-06-15

    申请号:US16394572

    申请日:2019-04-25

    Abstract: A device receives, from multiple cameras, streaming video data associated with multiple vehicles and provides the streaming video data to a user device associated with a user. The device receives, from the user device, a request to control a first camera and provides, to the user device, first streaming video data associated with the first camera. The device receives, from the user device, a camera control command for the first camera and causes the first camera to perform an action. The device receives updated first streaming video data from the first camera and provides, to the user device, the updated first streaming video data. The device receives, from the user device, information identifying a first vehicle in the updated first streaming video data and identifies first augmented reality vehicle information associated with the first vehicle. The device provides the first augmented reality vehicle information to the user device.

    Vehicle identification based on machine-readable optical marker

    公开(公告)号:US10796567B1

    公开(公告)日:2020-10-06

    申请号:US16387154

    申请日:2019-04-17

    Abstract: Various aspects generally relate to identifying a vehicle based on a machine-readable optical marker. In some implementations, a server device may receive one or more images of an object and metadata related thereto. In some implementations, based upon the one or more images, an image processing engine may identify at least one non-visible spectrum marker on a surface of the object (e.g., a machine-readable optical marker that encodes information associated with the object). The server device may determine that the object depicted in the one or more images corresponds to a particular vehicle based on the information encoded by the machine-readable optical marker corresponding to an identifier associated with the particular vehicle. Accordingly, the server device may associate information identifying the particular vehicle with information identifying a location based on the metadata related to the one or more images to permit subsequent determination of the location of the particular vehicle.

    Systems and methods for tokenized data delegation and protection

    公开(公告)号:US10735198B1

    公开(公告)日:2020-08-04

    申请号:US16683133

    申请日:2019-11-13

    Abstract: Example embodiments of systems and methods for data delegation and control through the use of tokenized data are provided. In an exemplary method of data delegation and control, a data device may store private information associated with a user and generate an access token, comprising tokenized data identifying the data device. The data device may transmit the access token to a user device through a front channel and receive an information request from a merchant device comprising the access token through a secure back channel. Upon authenticating the access token, the data device may transmit a portion of the private information to the merchant device through the secure back channel.

    System and Method for Deploying and Versioning Machine Learning Models

    公开(公告)号:US20200234195A1

    公开(公告)日:2020-07-23

    申请号:US16844399

    申请日:2020-04-09

    Abstract: Embodiments disclosed herein generally relate to a method and system for generating a container image. A computing system receives a request from a remote computer to provision a container comprising a machine learning model. The computing system generates a first API accessible by the remote computer. The computing system receives one or more parameters for the container via the API. The one or more parameters include a machine learning model type. The computing system retrieves from a library of a plurality of machine learning models a machine learning model corresponding to a type of model specified in the one or more parameters. The computing system generates a container image that includes the machine learning model. The computing system provisions a container based on the container image.

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