公开(公告)号：US11774545B2

公开(公告)日：2023-10-03

申请号：US16634700

申请日：2018-07-23

Applicant: Robert Bosch GmbH

Inventor： Keerthana Govindaraj ,  Tobias Hiller

IPC: B25J9/16 ,  G01C21/20 ,  G01S17/89 ,  G05D1/02 ,  G06K9/00 ,  G01S5/02 ,  G06V20/10 ,  G01S17/86

CPC classification number: G01S5/02521 ,  B25J9/1676 ,  G01C21/206 ,  G01S17/89 ,  G05D1/0214 ,  G06V20/10 ,  G01S17/86 ,  G06V2201/06

Abstract: The disclosure relates to a method for creating an object map for a factory environment by using sensors present in the factory environment, wherein at least one part of an object in the factory environment has information relating to its position recorded by at least two of the sensors, wherein the information recorded by the sensors is transmitted to a server associated with the sensors, and wherein the server is used to take the information recorded and transmitted by the sensors as a basis for creating an object map for the factory environment having a position of the at least one part of the object.

公开(公告)号：US11772271B2

公开(公告)日：2023-10-03

申请号：US16991466

申请日：2020-08-12

Applicant: MUJIN, INC.

Inventor： Jinze Yu ,  Jose Jeronimo Moreira Rodrigues

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

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

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：US20230260810A1

公开(公告)日：2023-08-17

申请号：US17736503

申请日：2022-05-04

Applicant: National Tsing Hua University

Inventor： Wei-Chang YEH ,  Shi-Yi TAN ,  Yuan Tzu LIN

IPC: H01L21/67 ,  H01L21/673 ,  G06V30/14

CPC classification number: H01L21/67294 ,  H01L21/67265 ,  H01L21/67303 ,  G06V30/1431 ,  G06V30/1437 ,  G06V2201/06

Abstract: A device for recognizing wafer identification number with automatically turning on and off recognizing function comprises a base, a support frame, a light source, a plurality of image capturing units, an image recognition unit and a control unit. The base comprises a wafer boat placing portion and a first switch disposed on the wafer boat placing portion. The light source and the image capturing units are disposed on the support frame. The control unit is electrically connected to the first switch, the light source, the image capturing units and the image recognition unit. As such, the device for recognizing wafer identification number with automatically turning on and off recognizing function can automatically turn on and off the light source, the image capturing units, and the image recognition unit, therefore the operation is very easy and convenience.

公开(公告)号：US20230237642A1

公开(公告)日：2023-07-27

申请号：US18009999

申请日：2021-06-10

Applicant: CYBORD LTD.

Inventor： Eyal Isachar Weiss ,  Zeev Efrat

IPC: G06T7/00 ,  G06V10/764 ,  G06T7/73

CPC classification number: G06T7/001 ,  G06V10/764 ,  G06T7/74 ,  G06V2201/06 ,  G06T2207/30141 ,  G06T2207/30148

Abstract: A system and a method for tracing components of an electronic assembly. The method may include obtaining an image of a component of the electronic assembly, generating identification information of the component based on visual features of the component, authenticating the component based on the identification information, generating correlating information by associating the component to an electronic assembly and classifying the component to a group based on the visual features of the component.

公开(公告)号：US20230219766A1

公开(公告)日：2023-07-13

申请号：US17818491

申请日：2022-08-09

Applicant: KABUSHIKI KAISHA TOSHIBA ,  Toshiba Infrastructure Systems & Solutions Corporation

Inventor： Kenzo ISOGAWA ,  Toshiyuki ONO

IPC: B65G43/08 ,  G06V10/766

CPC classification number: B65G43/08 ,  G06V10/766 ,  G06V2201/06

Abstract: According to one embodiment, a detection apparatus includes a processor. The processor acquires height information at a plurality of points in a subject. The processor determines whether or not one or more steps are present at a height equal to or higher than a predetermined height from a reference in the subject based on the height information. The processor detects that the subject is in a state in which a plurality of objects are overlapped, if the number of the steps is equal to or greater than a first threshold value.

公开(公告)号：US11685052B2

公开(公告)日：2023-06-27

申请号：US16574673

申请日：2019-09-18

Applicant: Kinova Inc.

Inventor： Louis-Joseph Caron L'Ecuyer ,  Jean-Francois Forget ,  Jonathan Lussier ,  Sébastien Boisvert

IPC: B25J9/16 ,  H04N13/207 ,  G06V20/20 ,  H04N23/45 ,  H04N23/54

CPC classification number: B25J9/1697 ,  B25J9/1664 ,  G06V20/20 ,  H04N13/207 ,  H04N23/45 ,  H04N23/54 ,  G06V2201/06

Abstract: A method for operating a vision guided robot arm system comprising a robot arm provided with an end effector at a distal end thereof, a display, an image sensor and a controller, the method comprising: receiving from the sensor image an initial image of an area comprising at least one object and displaying the initial image on the display; determining an object of interest amongst the at least one object and identifying the object of interest within the initial image; determining a potential action related to the object of interest and providing a user with an identification of the potential action; receiving a confirmation of the object of interest and the potential action from the user; and automatically moving the robot arm so as to position the end effector of the robot arm at a predefined position relative to the object of interest.

公开(公告)号：US11676301B2

公开(公告)日：2023-06-13

申请号：US17013788

申请日：2020-09-07

Applicant: Cognex Corporation

Inventor： Nathaniel R. Bogan

IPC: G06T7/00 ,  G06V10/44 ,  G06V10/46 ,  G06V10/75 ,  G06F18/28 ,  G06T7/33 ,  G06T7/73

CPC classification number: G06T7/001 ,  G06F18/28 ,  G06T7/344 ,  G06T7/75 ,  G06V10/44 ,  G06V10/46 ,  G06V10/752 ,  G06T2207/20081 ,  G06T2207/30164 ,  G06V2201/06

Abstract: A system and method for scoring trained probes for use in analyzing one or more candidate poses of a runtime image is provided. A set of probes with location and gradient direction based on a trained model are applied to one or more candidate poses based upon a runtime image. The applied probes each respectively include a discrete set of position offsets with respect to the gradient direction thereof. A match score is computed for each of the probes, which includes estimating a best match position for each of the probes respectively relative to one of the offsets thereof, and generating a set of individual probe scores for each of the probes, respectively at the estimated best match position.

公开(公告)号：US11664971B2

公开(公告)日：2023-05-30

申请号：US16682310

申请日：2019-11-13

Applicant: The ESAB Group Inc.

Inventor： Michael Nadler

IPC: G06F21/00 ,  H04L29/06 ,  H04L9/06 ,  H04W12/037 ,  H04B1/02 ,  H04B1/06 ,  H04L9/14 ,  G06V20/10

CPC classification number: H04L9/0618 ,  G06V20/10 ,  H04B1/02 ,  H04B1/06 ,  H04L9/14 ,  H04W12/037 ,  G06V2201/06 ,  H04L2209/80

Abstract: Apparatus and methods associated with the authentication of a welding or cutting torch with a power supply are provided. According to some implementations, the authentication includes encryption/decryption techniques initiated by the physical or virtual closure of one or more of a trigger switch and a parts-in-place switch. The delivery of high voltage welding or cutting power from the power supply to the torch being enabled only upon a successful authentication of the torch with the power supply.

公开(公告)号：US11663456B2

公开(公告)日：2023-05-30

申请号：US17400908

申请日：2021-08-12

Applicant: Intel Corporation

Inventor： Raanan Yonatan Yehezkel Rohekar

IPC: G06N3/063 ,  G06N3/08 ,  G06N3/04 ,  G06N3/084 ,  G06F9/46 ,  G06V10/94 ,  G06V10/44 ,  G06V20/00 ,  G06F18/214 ,  G06F18/2411 ,  G06F18/2413 ,  G06N3/044 ,  G06N3/045 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V40/16

CPC classification number: G06N3/063 ,  G06F9/46 ,  G06F18/214 ,  G06F18/2148 ,  G06F18/2411 ,  G06F18/2413 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06V10/454 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V10/95 ,  G06V10/955 ,  G06V20/00 ,  G06V40/174 ,  G06V2201/06

Abstract: A mechanism is described for facilitating the transfer of features learned by a context independent pre-trained deep neural network to a context dependent neural network. The mechanism includes extracting a feature learned by a first deep neural network (DNN) model via the framework, wherein the first DNN model is a pre-trained DNN model for computer vision to enable context-independent classification of an object within an input video frame and training, via the deep learning framework, a second DNN model for computer vision based on the extracted feature, the second DNN model an update of the first DNN model, wherein training the second DNN model includes training the second DNN model based on a dataset including context-dependent data.

公开(公告)号：US20230153978A1

公开(公告)日：2023-05-18

申请号：US17955837

申请日：2022-09-29

Applicant: Communications Test Design, Inc.

Inventor： Mark Parsons

IPC: G06T7/00 ,  G06V20/60 ,  G06K7/14

CPC classification number: G06T7/0004 ,  G06V20/60 ,  G06K7/1413 ,  G06K7/1417 ,  G06V2201/06

Abstract: Methods and systems are disclosed for grading user devices (e.g., mobile devices, smartphones, IoT devices, electronic devices, etc.). Image data associated with one or more portions of a user device may be determined as the user device traverses a conveyor system. The image data may be analyzed and a graphical depiction of regions of the user device where defects are present may be generated to rank, score, and/or grade the user device and/or portions of the user device.