High value action selection using a machine learning model

    公开(公告)号:US11288695B1

    公开(公告)日:2022-03-29

    申请号:US16836699

    申请日:2020-03-31

    Abstract: Systems and methods are provided for using a machine learning model to analyze customers data for each of a number of customers interacting with electronic commerce, and determining whether the customers are high value customers. For the high value customers, one or more high value actions are then determined by the machine learning model, the one or more high value actions representing actions previously performed by or with respect to the customers and that correlate with a likelihood of the customers reaching high value customers status. Non-high value customers may then be prompted to perform the high value action which may elevate the non-high value customers to high value customers status.

    Inpainting image feeds of operating vehicles

    公开(公告)号:US11170524B1

    公开(公告)日:2021-11-09

    申请号:US16449230

    申请日:2019-06-21

    Abstract: Affected areas of images captured by cameras that are experiencing one or more anomalies may be modified by inpainting portions of counterpart images onto the affected areas. Where a camera provided aboard an operating vehicle (e.g., an aerial vehicle) is experiencing an anomaly that adversely affects the quality of images captured thereby, counterpart images that are captured by other cameras (e.g., cameras provided aboard the vehicle or elsewhere) at the same time, or by the affected camera at an earlier time, may be used for inpainting. Portions of counterpart images may be selected for inpainting according to a transform function that takes into account a pose of an affected camera, dynamics of an operating vehicle or any other factors. Images that have been modified by inpainting may be utilized by an operating vehicle for any purpose, such as computer vision applications, navigation, guidance, or collision avoidance.

    Error correction of airborne vehicles using natural patterns

    公开(公告)号:US11087158B2

    公开(公告)日:2021-08-10

    申请号:US16436718

    申请日:2019-06-10

    Abstract: Disclosed are systems and methods for in-transit or in-flight error correction in state prediction of the vehicle. Natural patterns, such as fields, residential neighborhoods, business areas (e.g., downtown), etc., and/or objects, such as streets, cars, houses, trees, buildings, bridges, roads, parking lots, etc., that are naturally within the environment may be determined and used to correct any error in the aerial vehicle state prediction, while the vehicle is in transit, thereby eliminating or reducing the cumulative error involved in traditional systems.

    Presenting content-specific video advertisements upon request

    公开(公告)号:US10911814B1

    公开(公告)日:2021-02-02

    申请号:US16443393

    申请日:2019-06-17

    Abstract: Advertisements may be selected for video programming based on the visual content of the video programming. Where a video stream depicts a consumer good or service in one or more video frames, an advertisement that is consistent with the consumer good or service may be inserted into the video stream following the video frames in which the consumer good or service appears. Such an advertisement may be one of a plurality of existing advertisements, or may be prepared in a native format based on the content of the video stream, and may be seamlessly integrated into the video stream with the same or a similar setting to the video stream. A viewer of a video stream may also request one or more advertisements based on the content of the video stream.

    Visually determining vibrometric behavior of aerial vehicles

    公开(公告)号:US10861164B1

    公开(公告)日:2020-12-08

    申请号:US16367594

    申请日:2019-03-28

    Abstract: Natural frequencies of vibration of objects, such as aerial vehicles, are identified based on imaging data captured while the objects are subjected to excitation. The imaging data is captured using high-speed cameras, and changes in intensities of pixels corresponding to surfaces of the object are used to determine a spectral diagram of the vibrations from which natural frequencies of vibration (e.g., vibration modes) are determined. The visibility of the vibrating objects is enhanced by providing video images to band-pass filters within small bands around the natural frequencies, and magnifying the vibration based on the amplitudes or phases determined from each of the video images. A stream of the modified video images may be used to determine a mode shape corresponding to the vibration of the objects at or around a natural frequency of vibration.

    Content delivery using persona segments for multiple users

    公开(公告)号:US10853424B1

    公开(公告)日:2020-12-01

    申请号:US15676770

    申请日:2017-08-14

    Abstract: Systems, methods, and computer-readable media are disclosed for content delivery using persona segments for multiple users. In one embodiment, an example method may include receiving user interaction data from a user device for a session associated with a user account, wherein the user interaction data comprises indications of user interaction of interaction by a user account with a website. A set of keywords may be determined based on the product identifiers. A set of persona segments may be determined based on the keywords. Inter-persona distances between each persona segment of the set of persona segments may be determined. The inter-persona distances may be used to determine that multiple users are using a user account. A persona segment corresponding to a user may be selected. A content may be identified based on the persona segment.

    Systems and methods to calibrate spectral characteristics of imaging sensors

    公开(公告)号:US10812788B1

    公开(公告)日:2020-10-20

    申请号:US16436509

    申请日:2019-06-10

    Abstract: Systems and methods to calibrate an imaging sensor may include an enclosure with a controlled environment, a light source illuminating the environment, and a particle source emitting desired particles at desired concentrations into the environment. An imaging sensor, which may be associated with an aerial vehicle, may be placed within the enclosure, and the imaging sensor may capture imaging data within the controlled environment. In addition, the imaging data may be processed to determine current spectral characteristics of the imaging sensor. Based on the environment, light, and particle properties within the environment, the imaging sensor may be calibrated to exhibit nominal or desired spectral characteristics.

    Imputing missing values in machine learning models

    公开(公告)号:US10733515B1

    公开(公告)日:2020-08-04

    申请号:US15438390

    申请日:2017-02-21

    Abstract: In a machine learning environment, missing values can be imputed based upon an expectation maximization style approach. A system partitions a dataset, and uses a first partition as a training subset and a second partition as a verification subset. The training subset is used to train a machine learning model, which is then used to impute missing values in the second subset. The subsets may be swapped and the process iterates to predict missing values in the dataset with a high degree of accuracy, thereby improving both the accuracy of the machine learning model and the accuracy of the imputed values. The noise in the value prediction is reduced through a linear regression setting to account for heterogeneity in the dataset.

    Personal intermediary access device

    公开(公告)号:US10573106B1

    公开(公告)日:2020-02-25

    申请号:US15466723

    申请日:2017-03-22

    Abstract: An intermediary device may be configured to allow an authorized visitor to access a secure facility (such as a home) on behalf of an owner. The intermediary device may generate an authenticator and provide the authenticator to a service provider, who may then present the authenticator to the intermediary device upon arriving at the facility. The intermediary device may unlock or open, or lock and close, any doors within the facility as necessary in order to grant access to a specific portion of the facility and restrict access to other portions of the facility. The intermediary device may also capture, or cause the capture of, images or other data regarding actions taken by the service provider, and establish a communications channel with the owner for the exchange of information or data regarding such actions, or any events or conditions of the facility.

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