IMAGE MULTIPROCESSING METHOD FOR VISION SYSTEMS

    公开(公告)号:WO2020105069A1

    公开(公告)日:2020-05-28

    申请号:PCT/IT2018/000150

    申请日:2018-11-21

    Abstract: The present disclosure relates to a method for image classes definition and to a method for image multiprocessing and related vision system, which implement said method for image classes definition. The latter comprising an image splitting operation for each image of M input images, the image splitting operation comprising the steps of: a) splitting the image into image portions,; b) executing the algorithm onto each image portion with at least one processing unit; c) identifying the image portion associated with a maximum execution time of said algorithm; d) splitting said identified image portion into further image portions; e) checking if a stop criterion is met: e1) if the stop criterion is met, iterating steps a) to e) onto another one of the M input images; e2) if the stop criterion is not met, executing a predefined image processing algorithm onto each of the further image portions; identifying the image portion or further image portion associated with a maximum execution time of said algorithm; and iterating steps d) to e) on the so identified image portion or further image portion; wherein after executing steps a) to e) on all of the M input images, the method for image classes definition further comprises the steps of: f) identifying in an image space, for all the M input images, the positions of each split image portion/further image portion and defining clusters (A, B, C) based thereon; g) defining a set of Q image classes (Α', Β', C, AC) based on said clusters (A, B, C), each class (Α', Β', C, AC) being univocally associated with a splitting pattern representing in the image space a plurality of regions to be allocated to a corresponding plurality of processing units of the vision system for image multiprocessing.

    METHOD AND ALGORITHMS FOR AUTO-IDENTIFICATION DATA MINING THROUGH DYNAMIC HYPERLINK SEARCH ANALYSIS

    公开(公告)号:EP3336725A1

    公开(公告)日:2018-06-20

    申请号:EP17207338.9

    申请日:2017-12-14

    CPC classification number: G06F17/30539 G06F17/30864 G06F17/30893

    Abstract: A method of operation for an inverse crawling device, comprises:
    receiving, via a first transceiver, first object identification data associated with a first object and transmitted from a first automatic data collection (ADC) reader, the first object identification data encapsulated within a first markup language document, wherein the first markup language document includes at least one piece of first metadata related to the first object identification data;
    receiving, via the first transceiver or via a second transceiver, second object identification data encapsulated within a second markup language document, wherein the second markup language document includes at least one piece of second metadata related to the second objection identification data;
    creating in the first markup language document a hyperlink to the second markup language document, wherein the hyperlink is created by a markup language document analyzer in response to identifying a relationship between the at least one piece of first metadata and the at least one piece of second metadata;
    receiving, from a user interface, a query related to the first object; and
    providing, via the user interface, results that include the first markup language document.

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