Techniques For Unsupervised Anomaly Classification Using An Artificial Intelligence Model

    公开(公告)号:US20240144635A1

    公开(公告)日:2024-05-02

    申请号:US17974495

    申请日:2022-10-26

    CPC classification number: G06V10/267 G06V10/7753 G06N20/20 G06V2201/07

    Abstract: A method for operating a computing system on at least one processor includes performing search space reduction on input data using a first trained artificial intelligence model to generate relevant regions in the input data. The method also includes generating region proposals in the relevant regions using a second trained artificial intelligence model. The method further includes performing unsupervised anomaly classification on the region proposals using a third trained artificial intelligence model to classify each of the region proposals as normal or as an anomaly. The method further includes performing contextual filtering on the region proposals classified as anomalies to determine if any of the region proposals classified as anomalies are contextually normal using a fourth trained artificial intelligence model.

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