APPARATUS AND METHOD TO FACILITATE MODELING RESPONSES TO VARIABLE VALUES

    公开(公告)号:US20230058632A1

    公开(公告)日:2023-02-23

    申请号:US17404329

    申请日:2021-08-17

    Abstract: Particular data is selected from a members-based dataset to provide a resultant training corpus. A first neural network receives that training corpus and generates a first trained machine learning model. That first trained machine learning model can predict member engagement score values for each of a plurality of candidate variable values. The aforementioned training corpus can also be provided to a second neural network to generate a second trained machine learning model. That second trained machine learning model can then be used to predict member engagement score values for each of a plurality of initial-state variable values. The aforementioned member engagement score values for each of the plurality of candidate variable values can then be consolidated with the member engagement score values for each of a plurality of initial-state variable values to thereby provide resultant consolidated member engagement score values.

    SYSTEMS AND METHODS FOR DETECTING AND TRACKING HUMANS IN CAPTURED IMAGES

    公开(公告)号:US20220036568A1

    公开(公告)日:2022-02-03

    申请号:US17389154

    申请日:2021-07-29

    Abstract: In some embodiments, apparatuses and methods are provided herein useful to detecting and tracking humans. In some embodiments, there is provided a system for detecting and tracking humans from one image to another image including: a camera; a control circuit configure to: receive a first image; detect a plurality of key body joints of a first human captured on the first image; determine segmentations of the plurality of key body joints to determine one or more body parts of the first human; determine a color distribution map of aggregate pixels associated with each body part of the first human on the first image; and cause a database to store the color distribution map; and a database comprising one or more color distribution map sets each associated with a detected human in a captured image of the camera.

    Systems and methods for detecting text in images

    公开(公告)号:US11620839B2

    公开(公告)日:2023-04-04

    申请号:US17097734

    申请日:2020-11-13

    Abstract: In some embodiments, apparatuses and methods are provided herein useful to detecting text in images. In some embodiments, a system for detecting text in images comprises a database configured to store images and a control circuit configured to retrieve an image, generate, based on the image, a collection of augmented images, detect characters in each of the augmented images, generate bounding boxes for the characters in each of augmented images, recognize the characters in each of the augmented images, select, based on the recognition of the characters in each of the augmented images, candidate characters, wherein the candidate characters are selected based on consistency of the recognition of the characters in each of the augmented images, detect, for the image, a color associated with the characters, and store, in the database, the image, the candidate characters, and the color associated with the characters.

    SYSTEMS AND METHODS FOR DETECTING TEXT IN IMAGES

    公开(公告)号:US20230222825A1

    公开(公告)日:2023-07-13

    申请号:US18118658

    申请日:2023-03-07

    CPC classification number: G06V30/18105 G06V20/62 G06V10/56 G06F18/22 G06V30/10

    Abstract: In some embodiments, apparatuses and methods are provided herein useful to detecting text in images. In some embodiments, a system for detecting text in images comprises a database configured to store images and a control circuit configured to retrieve an image, generate, based on the image, a collection of augmented images, detect characters in each of the augmented images, generate bounding boxes for the characters in each of augmented images, recognize the characters in each of the augmented images, select, based on the recognition of the characters in each of the augmented images, candidate characters, wherein the candidate characters are selected based on consistency of the recognition of the characters in each of the augmented images, detect, for the image, a color associated with the characters, and store, in the database, the image, the candidate characters, and the color associated with the characters.

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