公开(公告)号：US11847813B2

公开(公告)日：2023-12-19

申请号：US17499603

申请日：2021-10-12

Applicant: FEI Company

Inventor： Thomas Gary Miller ,  John F. Flanagan, IV ,  Brian Routh, Jr. ,  Richard Young ,  Brad Larson ,  Aditee Shrotre

IPC: G06N3/00 ,  G06N20/00 ,  G06T7/00 ,  G06V10/764 ,  G06V10/44 ,  H01L21/66 ,  H01L21/268 ,  H01L21/263 ,  G06F18/24 ,  G06F18/2115 ,  G06F18/21

CPC classification number: G06V10/454 ,  G06F18/2115 ,  G06F18/2163 ,  G06F18/24 ,  G06T7/0004 ,  G06V10/764 ,  H01L21/2633 ,  H01L21/2686 ,  H01L22/26 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30148 ,  G06V2201/06

Abstract: Methods and systems for implementing artificial intelligence enabled preparation end-pointing are disclosed. An example method at least includes obtaining an image of a surface of a sample, the sample including a plurality of features, analyzing the image to determine whether an end point has been reached, the end point based on a feature of interest out of the plurality of features observable in the image, and based on the end point not being reached, removing a layer of material from the surface of the sample.

公开(公告)号：US20230398576A1

公开(公告)日：2023-12-14

申请号：US18034091

申请日：2021-11-09

Applicant: SATAKE CORPORATION

Inventor： Masaaki SADAMARU ,  Tomoyuki MIYAMOTO ,  Shinya HARADA

IPC: B07C5/10 ,  G06V10/26 ,  G06V10/77 ,  G06V20/68 ,  G06T7/11 ,  G06T7/00 ,  G06T7/194 ,  G06V20/50 ,  G06V10/20

CPC classification number: B07C5/10 ,  G06V10/26 ,  G06V10/77 ,  G06V20/68 ,  G06T7/11 ,  G06T7/0004 ,  G06T7/194 ,  G06V20/50 ,  G06V10/255 ,  G06T2207/20081 ,  G06T2207/20021 ,  G06V2201/06 ,  G06T2207/30128

Abstract: The present invention includes a conveyance step of conveying an object to be sorted, an image information acquisition step of, at least either during the conveyance step or after the conveyance step, acquiring image information on the object to be sorted, and dividing the image information into a plurality of pieces of cell data, and an identification step of identifying the object to be sorted based on the cell data and a learning model trained by inputting learning information concerning the object to be sorted, in which the learning information at least includes good part information, defective part information, and background information concerning the object to be sorted, and the good part information at least includes contour information on the object to be sorted.

公开(公告)号：US20230381971A1

公开(公告)日：2023-11-30

申请号：US18447689

申请日：2023-08-10

Applicant: MUJIN, INC.

Inventor： Jinze YU ,  Jose Jeronimo MOREIRA RODRIGUES

IPC: B25J9/16 ,  G06F18/241 ,  G06V10/44 ,  G06V20/10 ,  G06N20/00 ,  G06V10/22 ,  B25J13/08 ,  B65G61/00

CPC classification number: B25J9/1697 ,  G06F18/241 ,  G06V10/443 ,  B25J9/1661 ,  B25J9/1664 ,  G06V20/10 ,  G06N20/00 ,  G06V10/22 ,  B25J13/08 ,  B25J9/163 ,  G06V2201/06 ,  G06V2201/07 ,  B65G61/00

Abstract: A computing system and method for object recognition is presented. The method includes the computing system obtaining an image for representing the one or more objects, and generating a target image portion associated with one of the one or more objects. The computing system determines whether to classify the target image portion as textured or textureless, and selects a template storage space from among a first and second template storage space, wherein the first template storage space is cleared more often relative to the second template storage space. The first template storage space is selected in response to a textureless classification, and the second template storage space is selected as the template storage space in response to a textured classification. The computing system performs object recognition based on the target image portion and the selected template storage space.

公开(公告)号：US11801606B2

公开(公告)日：2023-10-31

申请号：US17902748

申请日：2022-09-02

Applicant: Path Robotics, Inc.

Inventor： Alexander James Lonsberry ,  Andrew Gordon Lonsberry ,  Nima Ajam Gard ,  Colin Bunker ,  Carlos Fabian Benitez Quiroz ,  Madhavun Candadai Vasu

IPC: G06K9/00 ,  B25J9/16 ,  B25J13/08 ,  B23K37/02 ,  B25J11/00 ,  B23K37/04 ,  G06T7/70 ,  G06T7/00 ,  G06V10/764 ,  G06V10/82 ,  B25J15/00

CPC classification number: B25J9/1697 ,  B23K37/0229 ,  B23K37/0258 ,  B23K37/04 ,  B25J9/161 ,  B25J9/1666 ,  B25J9/1671 ,  B25J11/005 ,  B25J13/08 ,  B25J15/0019 ,  G06T7/0004 ,  G06T7/70 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/10028 ,  G06T2207/20084 ,  G06V2201/06

Abstract: In some examples, an autonomous robotic welding system comprises a workspace including a part having a seam, a sensor configured to capture multiple images within the workspace, a robot configured to lay weld along the seam, and a controller. The controller is configured to identify the seam on the part in the workspace based on the multiple images, plan a path for the robot to follow when welding the seam, the path including multiple different configurations of the robot, and instruct the robot to weld the seam according to the planned path.

公开(公告)号：US11761273B2

公开(公告)日：2023-09-19

申请号：US17199994

申请日：2021-03-12

Applicant: Schlumberger Technology Corporation

Inventor： Shunfeng Zheng

IPC: G06K9/00 ,  E21B19/16 ,  G06V20/20 ,  G06T7/73 ,  G06V10/40

CPC classification number: E21B19/165 ,  G06T7/73 ,  G06V10/40 ,  G06V20/20 ,  G06T2207/30108 ,  G06V2201/06

Abstract: A monitoring system for determining a stickup height of a drill string. The monitoring system includes a video camera operable to facilitate a digital image, a block position sensor operable to facilitate block position measurements, and/or a processing device. The processing device receives the digital image, recognizes an upper end of the drill string or a connection joint of the drill string on the digital image, and determines the stickup height based on location of the upper end of the drill string or the connection joint of the drill string on the digital image. The processing device may also or instead record a pipe tally indicative of a length of each drill pipe and a location of each drill pipe within the drill string, receive the block position measurements, and determine the stickup height based on the pipe tally and block position measurements.

公开(公告)号：US20230206606A1

公开(公告)日：2023-06-29

申请号：US18000698

申请日：2021-06-02

Applicant: Tomra Sorting GmbH

Inventor： Dirk BALTHASAR

IPC: G06V10/774 ,  G06V10/147 ,  G06V10/82 ,  G06V10/764

CPC classification number: G06V10/774 ,  G06V10/82 ,  G06V10/147 ,  G06V10/764 ,  G06V2201/06

Abstract: A method of training a neural network stored on a computer-readable storage medium to classify objects in a bulk flow, the method including: providing input image data depicting objects to be classified, which input image data is captured by means of an input imaging sensor of a first sensor technology design; providing auxiliary image data, which auxiliary image data is captured by means of an auxiliary imaging sensor of a second sensor technology design, and which auxiliary image data depicts said or similar objects which are classified in accordance with a predetermined classifying scheme; by means of a processing unit, train the neural network stored on the computer-readable storage medium to classify the depicted objects in the input image data based on classifications of depicted objects in the auxiliary image data, wherein the depicted objects in the input image data correspond to objects in a bulk flow.

公开(公告)号：US20230202030A1

公开(公告)日：2023-06-29

申请号：US18175660

申请日：2023-02-28

Applicant: Kabushiki Kaisha Yaskawa Denki

Inventor： Ryo MASUMURA ,  Wataru WATANABE

IPC: B25J9/16 ,  B25J19/02 ,  G06V10/82 ,  G06V10/764 ,  G06T7/70 ,  G06T7/11

CPC classification number: B25J9/161 ,  B25J9/163 ,  B25J9/1697 ,  B25J19/023 ,  G06V10/82 ,  G06V10/764 ,  G06T7/70 ,  G06T7/11 ,  G06V2201/06 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Provided is a work system including: an object imaging unit configured to acquire an object image by photographing an object from a work direction; a work position acquisition unit configured to acquire a work position based on an existence region of the object obtained from a machine learning model; and a work unit configured to execute work on the object based on a work position obtained by inputting the object image to the work position acquisition unit.

公开(公告)号：US11669957B2

公开(公告)日：2023-06-06

申请号：US17377746

申请日：2021-07-16

Applicant: TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY, LTD.

Inventor： Peng-Ren Chen ,  Yi-An Huang ,  Jyun-Hong Chen ,  Wei-Chung Hu ,  Wen-Hao Cheng ,  Shiang-Bau Wang ,  Yung-Jung Chang

IPC: G06T7/00 ,  G06V10/75

CPC classification number: G06T7/001 ,  G06V10/752 ,  G06T2207/10061 ,  G06T2207/30148 ,  G06V2201/06

Abstract: A method of analyzing a semiconductor wafer includes obtaining a graphic data system (GDS) file corresponding to the semiconductor wafer, using GDS information from the GDS file to provide coordinates of a layout feature of the semiconductor wafer to an electron microscope, using the electron microscope to capture a raw image from the semiconductor wafer based on the coordinates of the layout feature, and performing a measurement operation on the raw image.

公开(公告)号：US11663815B2

公开(公告)日：2023-05-30

申请号：US17191338

申请日：2021-03-03

Applicant: Infosys Limited

Inventor： Ujwal Bhate ,  Ninad Kulkarni ,  Shaurya Dwivedi

IPC: G06T7/00 ,  G06K9/62 ,  G06V10/94

CPC classification number: G06T7/0008 ,  G06K9/6257 ,  G06K9/6262 ,  G06K9/6269 ,  G06V10/95 ,  G06V10/955 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30136 ,  G06V2201/06

Abstract: Examples of the present invention provides a method and system for inspection of heat recovery steam generator (HRSG) equipment to identify defects and damages using computer vision and deep learning techniques. The method comprising capturing one or more input frames by one or more input devices, classifying the one or more input frames by a scenario classifier to identify a scenario type based on a first modelled data prepared by training one or more deep neural networks (DNN), selecting at least one damage detector based on the identified scenario type, identifying one or more damage types by the at least one damage detector based on second modelled data prepared by training the one or more DNN and displaying one or more output frame indicating the identified one or more damage types of the HRSG equipment.

公开(公告)号：US20240353816A1

公开(公告)日：2024-10-24

申请号：US18641297

申请日：2024-04-19

Applicant: Bright Machines, Inc.

Inventor： Barrett Christopher Clark ,  Emmanuel Gallo ,  Ali Shafiekhani ,  Pattawong Pansodtee ,  Michael Staub ,  Murali Pappoppula

IPC: G05B19/418 ,  B25J9/16 ,  B25J13/08 ,  B25J19/02 ,  G06V10/25 ,  G06V10/70

CPC classification number: G05B19/41815 ,  B25J9/1671 ,  B25J9/1692 ,  B25J13/085 ,  B25J19/023 ,  G06V10/25 ,  G06V10/70 ,  G05B2219/31031 ,  G06V2201/06

Abstract: A method of programless assembly of a device using a robotic cell comprising calibrating a robotic cell for generating a product model, the robotic cell including an end-of-arm camera and utilizing the robotic cell to generate the product model of the device for assembly. The method in one embodiment further comprises validating the product model using a partial assembly method and making the product model available for use by robotic cells.