公开(公告)号：EP4404147A1

公开(公告)日：2024-07-24

申请号：EP23217684.2

申请日：2023-12-18

申请人： The Boeing Company

发明人： AFRASIABI, Amir ,  RAFATI, Sina ,  JOHNSON, Matthew David

IPC分类号： G06V10/25 ,  G06V10/762 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

CPC分类号： G06V10/7625 ,  G06V10/774 ,  G06V10/82 ,  G06V10/25 ,  G06V10/765

摘要： A computing system is configured to collect input data related to at least a portion of an object or an environment from the input sensor, execute a feature extractor to extract features for data elements of the input data, execute a clustering model configured to cluster the data elements of the input data into feature clusters based on similarities of the extracted features to each other, label a target clusters of the feature clusters and data elements of the target clusters with respective predetermined labels, generate a training dataset including the data elements of the target clusters, and train a machine learning model using the training dataset to predict a label for an inference time input data element at inference time. The respective predetermined labels of the target clusters correspond to prediction labels of the machine learning model.

公开(公告)号：EP4383207A1

公开(公告)日：2024-06-12

申请号：EP23211442.1

申请日：2023-11-22

申请人： Doosan Enerbility Co., Ltd.

发明人： SEO, June Sung ,  PARK, Gung Hul ,  KO, Seong Sik ,  LEE, Jung Min

IPC分类号： G06V10/22 ,  G06V10/25 ,  G06V10/46 ,  G06V10/764 ,  G06V20/52 ,  G06V10/50 ,  G06F18/2411

CPC分类号： G06V10/23 ,  G06V2201/0620220101 ,  G06V10/25 ,  G06V10/46 ,  G06F2218/1020230101 ,  G06F2218/1420230101 ,  G06F18/2411 ,  G06V10/765 ,  G06V10/507 ,  G06V2201/0720220101 ,  G06V10/225 ,  G06V20/52

摘要： A method of detecting a radiographic object is proposed. The method includes receiving, by a feature processing module, an input of radiographic image obtained by irradiating a region containing a plurality of tubes including at least one target tube as a radiographic object and at least one untargeted tube that is not a radiographic object, extracting, by the feature processing module, feature values of extremal points from the radiographic image to detect feature vectors, and analyzing, by a detection module, the feature vectors using a training model to detect a region in the radiographic image where the at least one target tube as a radiographic object exists.