COLLABORATIVE TEXT DETECTION AND TEXT RECOGNITION

    公开(公告)号:US20230125696A1

    公开(公告)日:2023-04-27

    申请号:US17972499

    申请日:2022-10-24

    申请人: Zaru, Inc.

    摘要: Described are approaches for assigning tasks between machine resources (e.g., AI task performers, AI task validators), human resources (e.g., task performers, task validators), and/or other smart systems to facilitate collaborative text detection, text recognition, and text retrieval in order to optimize system performance along a variety of different selection criteria specifying various performant dimensions, including, but not limited to improving system efficiency, reducing task performer and/or task validator idle time, improving triage outcomes, reducing data processing loads, maintaining client confidentiality, etc., that may be associated with one or more customers.

    METHOD FOR DISTRIBUTING CENSORED VIDEOS OF MANUFACTURING PROCEDURES PERFORMED WITHIN A FACILITY TO REMOTE VIEWERS

    公开(公告)号:US20230124561A1

    公开(公告)日:2023-04-20

    申请号:US17968677

    申请日:2022-10-18

    发明人: Frank Maggiore

    摘要: One variation of the method for distributing censored videos of manufacturing procedures performed within a facility includes: accessing a video feed captured by a local device interfacing with a local operator during performance of a procedure within the facility; interpreting a set of objects depicted in the video feed based on features extracted from the video feed; accessing a minimum censorship specification for the procedure, the minimum censorship specification defining a set of object types corresponding to a first degree of censorship; identifying a subset of objects, in the set of objects, depicted in the video feed related to the procedure based on the set of object types defined in the minimum censorship specification; fogging the subset of objects in the video feed to generate a censored video feed; and serving the censored video feed to a remote viewer portal accessed by a remote viewer.

    System and method for presenting content based on articles properly presented and verifiably owned by or in possession of user

    公开(公告)号:US11626994B2

    公开(公告)日:2023-04-11

    申请号:US17227116

    申请日:2021-04-09

    摘要: A system and method for identifying whether an article is properly presented and duly owned by or licensed to a user and releasing assigned content to the user upon confirmation of such verifiably owned or licensed article. A manipulated user device equipped with at least one camera is deployed to determine if the article is properly presented. The device captures images and the system has the ability to determine from the images and any additional spatial information the orientation and/or position parameters of the article to confirm whether a valid spatial relationship exists between the article and the user device. Due ownership or license is verified by relying on tokens (e.g., Non-Fungible Tokens) and blockchain transaction records. The assigned content released to the user can be contextual and can range from items such as images, music, videos, games, virtual content, augmented content, coupons (virtual or physical), promotions, special offers and the like.

    Intelligent forklift and method for detecting pose deviation of container

    公开(公告)号:US11625854B2

    公开(公告)日:2023-04-11

    申请号:US17508784

    申请日:2021-10-22

    摘要: An intelligent forklift and a method for detecting a pose deviation of a container are provided. The intelligent forklift includes a working state monitor, an image sensor, and a processor. The working state monitor is configured to monitor a working state of the intelligent forklift while the intelligent forklift is carrying and moving a stock container and send a trigger to the image sensor based on the working state. The image sensor is configured to capture an RGBD image frame containing the stock container in response to the trigger and to transmit the RGBD image frame to the processor. The processor is configured to receive the RGBD image frame, detect a pose deviation degree of the stock container and provide an alarm and/or a prompt based on a detection result of the pose deviation degree for adjusting the pose of the stock container.

    METHOD FOR GENERATING TRAINING DATA FOR SUPERVISED LEARNING FOR TRAINING A NEURAL NETWORK

    公开(公告)号:US20230098284A1

    公开(公告)日:2023-03-30

    申请号:US17935496

    申请日:2022-09-26

    申请人: Robert Bosch GmbH

    摘要: A method for generating training data for supervised learning for training a neural network to identify, from digital images of objects, locations of the objects for interacting with the objects. The method includes: acquiring, for each training object, at least one digital reference image and a plurality of further images of the training object; for each training object, specifying a location of the training object, mapping the at least one reference image onto a descriptor image, identifying descriptors of the specified location, mapping the further images of the training object onto further descriptor images, and determining locations in the further images by locating points in the further images, the descriptors of which in the further descriptor images correspond to the specified descriptors of the at least one specified location; and generating the training data for supervised learning by marking the determined locations for the further images of the training objects.