AUTOMATIC INVENTORY CREATION VIA IMAGE RECOGNITION AND OVERLAY

    公开(公告)号:US20220398531A1

    公开(公告)日:2022-12-15

    申请号:US17890488

    申请日:2022-08-18

    Abstract: A method for automatically creating an equipment inventory from a plurality of images of a site. The method includes receiving, by a processor, the plurality of images of the site, labeling, by the processor, equipment present in each image of the plurality of images of the site, creating, by the processor, an overlap curve for neighboring images of the plurality of images of the site, determining, by the processor, a useful image of each side of the site based on the overlap curve, the useful image including a subset of the plurality of images, creating, by the processor, an overlay of equipment in the useful image of each side of the site, counting, by the processor, equipment present in the overlay of each side of the site, and generating, by the processor, the equipment inventory by adding a number of equipment counted in the overlay of each side of the site.

    GRAPH DIFFUSION SIMILARITY MEASURE FOR STRUCTURED AND UNSTRUCTURED DATA SETS

    公开(公告)号:US20190005149A1

    公开(公告)日:2019-01-03

    申请号:US15640927

    申请日:2017-07-03

    Abstract: A memory is configured to store a dataset and a processor is configured to map the dataset to a plurality of objects. The objects are represented by corresponding values of a plurality of non-negative elements. The processor is also configured to construct a bipartite graph including a plurality of first nodes associated with the plurality of objects and a plurality of second nodes associated with the plurality of non-negative elements. The first nodes are linked to the second nodes by edges having weights equal to values of the non-negative elements that represent the corresponding first node. The processor is further configured to determine similarity values that indicate degrees of similarity between the plurality of objects based on a diffusion of a fluid mass through the bipartite graph according to the weights of the edges.

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