公开(公告)号：US12288186B2

公开(公告)日：2025-04-29

申请号：US17890488

申请日：2022-08-18

Applicant: Nokia Solutions and Networks Oy

Inventor： Gordon Wilfong ,  Yihao Zhang ,  Iraj Saniee ,  Maria Laura Maag

IPC: G06Q10/087 ,  G06V10/10 ,  G06V20/60

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.

公开(公告)号：US20250045507A1

公开(公告)日：2025-02-06

申请号：US18785309

申请日：2024-07-26

Applicant: Nokia Solutions and Networks Oy

Inventor： Yihao ZHANG ,  Iraj Saniee ,  Ashish Tandon ,  Martin Bauer ,  Konrad Gralec

IPC: G06F40/109 ,  G06Q10/0635 ,  G06V10/74 ,  G06V30/414

Abstract: Apparatus and method of evaluating electronic documents. In an embodiment, the method comprises obtaining a dataset comprising labeled text samples associated with subject matter categories and having a respective label comprises a risk level. The method comprises applying a machine learning (ML) model to the labeled text samples to vectorize the labeled text samples, and determining a representative vector for groups of text sample vectors associated with a same risk level in each subject matter category. The method comprises displaying an electronic document, extracting a text segment, applying the ML model to the text segment to vectorize the text segment, mapping the text segment vector to a subject matter category, determining the risk level associated with the text segment based on a relation between the text segment vector and representative vectors associated with the subject matter category, and annotating the text segment with an annotation based on the risk level.