METHODS AND SYSTEMS FOR GENERATING MODELS FOR IMAGE ANALYSIS PIPELINE PREDICTION

    公开(公告)号:WO2023001940A1

    公开(公告)日:2023-01-26

    申请号:PCT/EP2022/070438

    申请日:2022-07-21

    Abstract: A method is described herein for generating a model for predicting an image analysis parameter for use with an image analysis tool. The method comprises receiving telemetry data associated with image data; and generating a model for predicting an image analysis parameter based on the telemetry data. A further method is described herein for predicting an image analysis parameter for use with an image analysis tool. The method comprising receiving image data associated with a captured image; providing the image data to a model for predicting an image analysis parameter; and outputting the image analysis parameter.

    VERFAHREN UND VORRICHTUNG ZUM VERARBEITEN VON SENSORDATEN

    公开(公告)号:WO2021245288A1

    公开(公告)日:2021-12-09

    申请号:PCT/EP2021/065142

    申请日:2021-06-07

    Abstract: Die vorliegende Erfindung bezieht sich auf ein Verfahren zum Verarbeiten von Sensordaten (108), wobei die Sensordaten (108) eines Sensors (104) unter Verwendung von Metadaten (112) des Sensors (104) und Sensordaten (108) zumindest eines weiteren Sensors (104) unter Verwendung von Metadaten (112) des weiteren Sensors (104) bewertet werden, um bewertete Sensordaten (114) der Sensoren (104) zu erhalten, wobei die bewerteten Sensordaten (114) fusioniert werden, um fusionierte Sensordaten (116) zu erhalten.

    ENABLING ELECTRONIC LOAN DOCUMENTS
    7.
    发明申请

    公开(公告)号:WO2023049288A2

    公开(公告)日:2023-03-30

    申请号:PCT/US2022/044431

    申请日:2022-09-22

    Applicant: DOCMAGIC, INC.

    Abstract: The system prepares PDF documents to be digitally populated or signed. The method may comprise converting a document into an image; detecting words on the document; searching the words for keywords; searching for an object on the document; determining an object field based on the keywords and the object; creating a tag with metadata about the object field; and associating the tag with the object field. The method may also comprise determining, by a processor, metadata about a document; creating, by the processor, a hash from the metadata; storing, by the processor, an association of the hash, the metadata and the document in a knowledge database; creating, by the processor, a new hash for a new document; comparing, by the processor, the hash with the new hash; and determining, by the processor, that the new document has similar characteristics as the document based on the comparing.

    ALERT ACTIONING AND MACHINE LEARNING FEEDBACK

    公开(公告)号:WO2022197606A2

    公开(公告)日:2022-09-22

    申请号:PCT/US2022/020189

    申请日:2022-03-14

    Abstract: Some aspects of the present disclosure relate to systems, methods, and computer-readable media for configuring a conduct surveillance system. In one example implementation, a computer implemented method includes: receiving at least one alert from a conduct surveillance system, where the at least one alert represents a potential violation of a predetermined policy, where the predetermined policy includes a scenario, a target population, and a workflow; determining whether each of the at least one alert represents an actual violation of the predetermined policy; calculating a metric based on the actual violations and the potential violations where the metric includes a number of false positives associated with the at least one alert or the number of false negatives associated with the at least one alert; and changing at least one of the scenario, the target population, or the workflow based on the calculated metric.

    SYSTEMS AND METHODS FOR IDENTIFYING CHARACTERISTICS OF ELECTRIC VEHICLES

    公开(公告)号:WO2021262465A1

    公开(公告)日:2021-12-30

    申请号:PCT/US2021/037171

    申请日:2021-06-14

    Abstract: The disclosed embodiments provide a method performed at a computer system that is in communication with an electric vehicle charging station (EVCS). The EVCS includes a camera for obtaining images in a region proximal to the EVCS. The method includes capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle. The method further includes, for each respective image of the plurality of images of electric vehicles: determining, without user intervention, a characteristic of the respective electric vehicle; and tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle. The method further includes training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.

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