公开(公告)号：US20240212372A1

公开(公告)日：2024-06-27

申请号：US18086976

申请日：2022-12-22

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chih-Neng Liu ,  Hung-Chun Chou ,  Tsann-Tay Tang

IPC: G06V20/70 ,  G06T7/70 ,  G06V10/75 ,  G06V10/771

CPC classification number: G06V20/70 ,  G06T7/70 ,  G06V10/751 ,  G06V10/771 ,  G06V2201/06

Abstract: An automatic objects labeling method includes: capturing M consecutive image frames at one station of an assembly line. Performing an object detection step which includes selecting a detection image frame that displays an operation using a work piece against a target object from the M consecutive image frames; and calibrating the position range of the target object in the detection image frame; retracing from the detection image frame to select an Nth retraced image frame from the M consecutive image frames; obtaining a labeled image of the target object from the Nth retraced image frame according to the position range; comparing the labeled image with images of the M consecutive image frames to find at least one other labeled image similar to the target object; and storing both the labeled image and the at least one other labeled image as the same labeled data set.

公开(公告)号：US12290917B2

公开(公告)日：2025-05-06

申请号：US17505041

申请日：2021-10-19

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Dong-Chen Tsai ,  Ping-Chang Shih ,  Yu-Ru Huang ,  Hung-Chun Chou

IPC: G06K9/00 ,  B25J9/16 ,  B25J13/08 ,  G06T1/00 ,  G06T7/73

Abstract: An object pose estimation system, an execution method thereof and a graphic user interface are provided. The execution method of the object pose estimation system includes the following steps. A feature extraction strategy of a pose estimation unit is determined by a feature extraction strategy neural network model according to a scene point cloud. According to the feature extraction strategy, a model feature is extracted from a 3D model of an object and a scene feature is extracted from the scene point cloud by the pose estimation unit. The model feature is compared with the scene feature by the pose estimation unit to obtain an estimated pose of the object.