公开(公告)号：US11832582B2

公开(公告)日：2023-12-05

申请号：US16092333

申请日：2017-08-17

Applicant: Technologies Holdings Corp.

Inventor： Mark A. Foresman ,  Bradley J. Prevost ,  Marijn Van Aart ,  Peter Willem van der Sluis ,  Alireza Janani

IPC: A01J5/00 ,  A01J5/007 ,  A01J5/017 ,  G06T7/73 ,  G06V10/25 ,  G06V10/44 ,  G06V10/50 ,  G06V10/75 ,  G06V20/10 ,  G06V20/64 ,  H04N13/204 ,  H04N13/271

CPC classification number: A01J5/007 ,  A01J5/017 ,  A01J5/0175 ,  G06T7/75 ,  G06V10/25 ,  G06V10/44 ,  G06V10/50 ,  G06V10/751 ,  G06V20/10 ,  G06V20/647 ,  H04N13/204 ,  H04N13/271 ,  G06T2207/10028 ,  G06T2207/30204 ,  G06V2201/06

Abstract: A leg (205) detection system comprising: a robotic arm (200) comprising a gripping portion (208) for holding a teat cup (203, 210) for attaching to a teat (1102, 1104, 1106, 1108, 203S, 203) of a dairy livestock (200, 202, 203); an imaging system coupled to the robotic arm (200) and configured to capture a first three-dimensional (3D) image (138, 2400, 2500) of a rearview of the dairy livestock (200, 202, 203) in a stall (402), the imaging system comprising a 3D camera (136, 138) or a laser (132), wherein each pixel of the first 3D image (138, 2400, 2500) is associated with a depth value; one or more memory (104) devices configured to store a reference (3D) 3D image (138, 2400, 2500) of the stall (402) without any dairy livestock (200, 202, 203); and a processor (102) communicatively coupled to the imaging system and the one or more memory (104) devices, the processor (102) configured to: access the first 3D image (138, 2400, 2500) and the reference (3D) 3D image (138, 2400, 2500); subtract the first 3D image (138, 2400, 2500) from the reference (3D) 3D image (138, 2400, 2500) to produce a second 3D image (138, 2400, 2500); perform morphological image (138, 2400, 2500) processing on the second 3D image (138, 2400, 2500) to produce a third 3D image (138, 2400, 2500); perform image (138, 2400, 2500) thresholding on the third 3D image (138, 2400, 2500) to produce a fourth 3D image (138, 2400, 2500); cluster (2616, 2618, 2626, 2628) data from the fourth 3D image (138, 2400, 2500); identify, using the clustered data from the fourth 3D image (138, 2400, 2500), one or more legs (205) of the dairy livestock (200, 202, 203); and provide instructions for movements of the robotic arm (200) to avoid the identified one or more legs (205) while attaching the teat cup (203, 210) to the teat (1102, 1104, 1106, 1108, 203S, 203) of the dairy livestock (200, 202, 203).

公开(公告)号：US20230299567A1

公开(公告)日：2023-09-21

申请号：US18017637

申请日：2021-07-23

Applicant: Schneider Electric USA, Inc.

Inventor： Benjamin Patrick O'ROURKE ,  James Raymond RAMSEY ,  Pankaj LAL ,  Richard Kent CRAWFORD ,  Xavier LIFRAN

IPC: H02B3/00 ,  G06T7/00 ,  G06V10/70 ,  G09B19/00

CPC classification number: H02B3/00 ,  G06T7/0004 ,  G06V10/70 ,  G09B19/003 ,  G06T2207/20081 ,  G06T2207/20088 ,  G06V2201/06 ,  B25B23/1425

Abstract: Techniques are described for electrical equipment management. Embodiments include a method for electrical equipment refit management, comprising: receiving a selection of an order of an existing electrical equipment system to disassemble and, in response, retrieving and providing a plurality of disassembly instructions; performing an iterative disassembly process to manage the disassembly of the existing electrical equipment system. A selection of an order of a refit electrical equipment system to assemble is received and, in response, retrieving and providing a plurality of refit instructions; An iterative assembly process is performed to manage the assembly of the refit electrical equipment system. Digital artifacts of the refit electrical equipment system are recorded during performance of the plurality of refit instructions as part of the iterative assembly process. A final assembly report for the refit electrical equipment system and stored together with a unique identifier corresponding to the assembled refit electrical equipment system.

公开(公告)号：US20230298161A1

公开(公告)日：2023-09-21

申请号：US18322608

申请日：2023-05-24

Applicant: TRUMPF Werkzeugmaschinen SE + Co. KG

Inventor： Willi Poenitz ,  Marc Teschner ,  Korbinian Weiss

IPC: G06T7/00 ,  G06V10/82 ,  G06T7/12 ,  G06T7/194

CPC classification number: G06T7/001 ,  G06V10/82 ,  G06T7/12 ,  G06T7/194 ,  G06T2207/30164 ,  G06V2201/06 ,  G06T2207/30136

Abstract: A method creates a reference recording of the unloaded state of a workpiece carrier. The method includes: A) creating a recording of the workpiece carrier with a camera; B) determining a loading state of the workpiece carrier by evaluating the recording by an algorithm; and C) storing the recording as a reference recording in a case where the workpiece carrier is determined as being unloaded by the algorithm.

公开(公告)号：US20230298154A1

公开(公告)日：2023-09-21

申请号：US18201841

申请日：2023-05-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： MIN CHUL PARK ,  JEONG HOON KO ,  JI YONG PARK ,  JE HYUN LEE ,  DAE SIN KIM

IPC: G06T7/00 ,  G06F18/23 ,  G06F18/24 ,  G06F18/2413 ,  G06V10/762 ,  G06V10/764

CPC classification number: G06T7/0004 ,  G06F18/23 ,  G06F18/24 ,  G06F18/24137 ,  G06V10/762 ,  G06V10/764 ,  G06T2207/20081 ,  G06T2207/30148 ,  G06T2207/20084 ,  G06V2201/06

Abstract: A method for analyzing a wafer map using a wafer map analyzer includes generating first wafer maps each displaying characteristics of a first wafer for a corresponding channel of a plurality of channels. The first wafer maps are auto-encoded together to extract a first feature. The method also includes determining whether the first feature is a valid pattern, classifying the type of the first feature based on unsupervised learning when the first feature is a valid pattern and extracting a representative image of features classified into the same type as the first feature.

公开(公告)号：US11759958B2

公开(公告)日：2023-09-19

申请号：US17980769

申请日：2022-11-04

Applicant: Path Robotics, Inc.

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

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

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 various examples, a computer-implemented method of generating instructions for a welding robot. The computer-implemented method comprises identifying an expected position of a candidate seam on a part to be welded based on a Computer Aided Design (CAD) model of the part, scanning a workspace containing the part to produce a representation of the part, identifying the candidate seam on the part based on the representation of the part and the expected position of the candidate seam, determining an actual position of the candidate seam, and generating welding instructions for the welding robot based at least in part on the actual position of the candidate seam.

公开(公告)号：US20230214083A1

公开(公告)日：2023-07-06

申请号：US18181051

申请日：2023-03-09

Applicant: Mitutoyo Corporation

Inventor： Shinsaku Abe ,  Kuniyuki Nuka

IPC: G06F3/04815 ,  G05B19/4069 ,  G06T19/00 ,  G06T7/00 ,  G06T7/73 ,  G06T7/579 ,  G06F3/04817 ,  G06F30/20 ,  G06V20/20 ,  G06V20/64 ,  G06V40/10

CPC classification number: G06F3/04815 ,  G05B19/4069 ,  G06T19/006 ,  G06T7/0006 ,  G06T7/73 ,  G06T7/579 ,  G06F3/04817 ,  G06F30/20 ,  G06V20/20 ,  G06V20/64 ,  G06V40/113 ,  G05B2219/32014 ,  G06V2201/06

Abstract: The present invention provides a measurement program selection assisting apparatus capable of visually confirming whether a selected measurement program is suitable for an object to be measured. One aspect of the present invention is a measurement program selection assisting apparatus comprising: a measurement program database storing a measurement program related to measurement of an object and superimposed display information corresponding to a three-dimensional shape of the object in association with each other; a display unit capable of displaying information defined in a virtual space superimposed on the real space; and a display control unit for acquiring the superimposed display information corresponding to a selected measurement program from the measurement program database and displaying the acquired superimposed display information in a mixed reality on the display unit

公开(公告)号：US11694452B1

公开(公告)日：2023-07-04

申请号：US16594490

申请日：2019-10-07

Applicant: Deshazo LLC

Inventor： Christopher McCulley

IPC: G06V20/64 ,  G06T7/70 ,  B25J9/16 ,  G06F18/2113 ,  G06T7/62 ,  G06T7/20 ,  G01S17/89 ,  G01S7/48 ,  G05B19/05

CPC classification number: G06V20/653 ,  B25J9/1697 ,  G01S7/4802 ,  G01S17/89 ,  G05B19/05 ,  G06F18/2113 ,  G06T7/20 ,  G06T7/62 ,  G06T7/70 ,  G05B2219/1185 ,  G06T2207/10028 ,  G06V2201/06

Abstract: A LIDAR device is positioned on a crane and is moved along a track to collect 3D image data of the area below the crane. The resulting image data is sent to a computing device that applies or more filtering algorithms to the image data and searches for known image shapes therein through a comparison of the image data and one or more 3D object models based on known shapes or geometric primitives. If an object is identified in the image data and is determined to be accessible, position information for that object may be sent to a device configured to control movement of the crane to grab/pick up the object.

公开(公告)号：US11688051B2

公开(公告)日：2023-06-27

申请号：US16752410

申请日：2020-01-24

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Walter Martin

IPC: G06T7/00 ,  G06N3/08 ,  G06F9/48 ,  G06F3/0482 ,  G06V20/20

CPC classification number: G06T7/0004 ,  G06F3/0482 ,  G06F9/4881 ,  G06N3/08 ,  G06V20/20 ,  G06T2200/24 ,  G06T2207/20084 ,  G06V2201/06

Abstract: Aspects of the present disclosure include methods, systems, and non-transitory computer readable media that perform the steps of capturing capture one or more images comprising a plurality of visual features of an inspected device, transmitting the one or more images to a server comprising a neural network, wherein the neural network analyzes the plurality of visual features to identify the inspected device and the server identifies the checklist comprising tasks or questions associated with an inspection process of the inspected device, receiving the checklist associated from the server, and displaying the checklist.

公开(公告)号：US20230182263A1

公开(公告)日：2023-06-15

申请号：US18167544

申请日：2023-02-10

Applicant: SAINT-GOBAIN ABRASIVES, INC. ,  SAINT-GOBAIN ABRASIFS

Inventor： Brahmanandam V. TANIKELLA ,  Christopher ARCONA ,  Thomas H. OSBORN ,  Joseph P. SULLIVAN ,  Anna MAASSEL ,  Arunvel THANGAMANI ,  Robin Chandras JAYARAM ,  Rajappa TADEPALLI

IPC: B24B49/00 ,  G06N5/04 ,  G06N20/00 ,  G06F18/40 ,  G06F18/214

CPC classification number: B24B49/006 ,  B24B49/00 ,  B24B49/003 ,  G06N5/04 ,  G06N20/00 ,  G06F18/40 ,  G06F18/2148 ,  G06V2201/06

Abstract: The present application relates to systems and methods for obtaining real-time abrasion data. An example computer-implemented method could include receiving, at a computing device, sensor data from one or more sensors. The one or more sensors are disposed in proximity to an abrasive product or a workpiece associated with the abrasive product. The one or more sensors are configured to collect abrasion operational data associated with an abrasive operation involving the abrasive product or the workpiece. The computer-implemented method could further include training, based on the sensor data, a machine learning system to determine product specific information of the abrasive product and/or workpiece specific information. The computer-implemented method could also include providing the trained machine learning system using the computing device.

公开(公告)号：US11675878B1

公开(公告)日：2023-06-13

申请号：US17241718

申请日：2021-04-27

Applicant: Everguard, Inc.

Inventor： Sandeep Pandya ,  Sundeep Ahluwalia ,  Changsoo Jeong ,  Michael Korkin ,  Kyungsuk Lee ,  Christopher Ro ,  Yong Wu

IPC: G06F18/214 ,  G06T7/73 ,  G01S17/894 ,  G01S17/42 ,  G06V10/22 ,  G06V20/52 ,  G06V20/64 ,  G06F18/25

CPC classification number: G06F18/2148 ,  G01S17/42 ,  G01S17/894 ,  G06F18/251 ,  G06T7/73 ,  G06V10/22 ,  G06V20/52 ,  G06V20/64 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06V2201/06

Abstract: A multimodal system is provided for managing safety in an industrial environment. The system comprises: a computer vision component for generating a computer vision output data; a real-time locating component for generating location data about an object within the industrial environment; a LIDAR component for generating 3D point cloud data of the industrial environment; and one or more processors coupled to the computer vision component, the real-time locating component and the LIDAR component and configured to: (i) generate label data using the location data and identity about one or more objects generated by the real-time locating component, and (ii) update one or more predictive models utilized by the component vision component or the multimodal system using the label data.