公开(公告)号：US12079978B2

公开(公告)日：2024-09-03

申请号：US17526865

申请日：2021-11-15

申请人： Cognex Corporation

发明人： Mikhail Akopyan ,  Lowell D. Jacobson ,  Robert A. Wolff

IPC分类号： G06T7/00 ,  G01B11/06 ,  G01S7/48 ,  G01S17/42 ,  G01S17/48 ,  G01S17/89 ,  G06T7/44

CPC分类号： G06T7/0004 ,  G01B11/0608 ,  G01S7/4802 ,  G01S17/42 ,  G01S17/48 ,  G01S17/89 ,  G06T7/44 ,  G06T2207/10028 ,  G06T2207/30224

摘要： This invention provides a system and method for determining the location and characteristics of certain surface features that comprises elevated or depressed regions with respect to a smooth surrounding surface on an object. A filter acts on a range image of the scene. A filter defines an annulus or other perimeter shape around each pixel in which a best-fit surface is established. A normal to the pixel allows derivation of local displacement height. The displacement height is used to establish a height deviation image of the object, with which bumps, dents or other height-displacement features can be determined. The bump filter can be used to locate regions on a surface with minimal irregularities by mapping such irregularities to a grid and then thresholding the grid to generate a cost function. Regions with a minimal cost are acceptable candidates for application of labels and other items in which a smooth surface is desirable.

公开(公告)号：US20240242362A1

公开(公告)日：2024-07-18

申请号：US18431631

申请日：2024-02-02

申请人： Imagination Technologies Limited

发明人： Ruan Lakemond

IPC分类号： G06T7/44 ,  G06F18/22 ,  G06T7/73 ,  G06V10/46

CPC分类号： G06T7/44 ,  G06F18/22 ,  G06T7/73 ,  G06V10/469 ,  G06T2207/10024 ,  G06V10/473

摘要： Methods and image processing systems are provided for determining a dominant gradient orientation for a target region within an image. A plurality of gradient samples are determined for the target region, wherein each of the gradient samples represents a variation in pixel values within the target region. The gradient samples are converted into double-angle gradient vectors, and the double-angle gradient vectors are combined so as to determine a dominant gradient orientation for the target region.

公开(公告)号：US20240181964A1

公开(公告)日：2024-06-06

申请号：US18514972

申请日：2023-11-20

申请人： NIAGARA BOTTLING, LLC

发明人： Jimmy Erik Penaloza ,  Parth Naresh Patel

IPC分类号： B60R1/00 ,  G06T7/13 ,  G06T7/44 ,  G06T7/50 ,  G06T7/55 ,  G06T7/73 ,  G06T7/80 ,  G06V10/77 ,  G06V20/64

CPC分类号： B60R1/003 ,  G06T7/13 ,  G06T7/44 ,  G06T7/50 ,  G06T7/55 ,  G06T7/73 ,  G06T7/80 ,  G06V10/7715 ,  G06V20/653 ,  B60R2300/30 ,  B60R2300/607 ,  B60R2300/808 ,  G06T2207/10028

摘要： Systems and methods for determining an alignment of a trailer relative to a docking bay or a vehicle bay door using dynamic depth filtering. Image data and position data is captured by a 3D camera system with an at least partially downward-facing field of view. When a trailer is approaching the docking bay or door, the captured image data includes a top surface of the trailer. A dynamic height range is determined based on an estimated height of the top surface of the trailer in the image data and a dynamic depth filter is applied to filter out image data corresponding to heights outside of the dynamic height range. An angular position and/or lateral offset of the trailer is determined based on the depth-filtered image data.

公开(公告)号：US20240161035A1

公开(公告)日：2024-05-16

申请号：US18087086

申请日：2022-12-22

申请人： Enlitic, Inc.

发明人： Kevin Lyman ,  Anthony Upton ,  Jordan Francis ,  Vicky Li ,  Mark Freudenberg ,  Alexander Pong ,  Alexander Freska ,  Zachary Holt

IPC分类号： G06Q10/0631 ,  A61B5/00 ,  G06F3/0482 ,  G06F3/0484 ,  G06F9/54 ,  G06F16/245 ,  G06F18/21 ,  G06F18/2115 ,  G06F18/214 ,  G06F18/2415 ,  G06F18/40 ,  G06F21/62 ,  G06N5/04 ,  G06N5/045 ,  G06N20/00 ,  G06N20/20 ,  G06Q20/14 ,  G06T3/40 ,  G06T5/50 ,  G06T5/70 ,  G06T5/94 ,  G06T7/00 ,  G06T7/10 ,  G06T7/11 ,  G06T7/187 ,  G06T7/44 ,  G06T11/00 ,  G06T11/20 ,  G06V10/22 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V30/19 ,  G06V40/16 ,  G16H10/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  H04L67/01 ,  H04L67/12

CPC分类号： G06Q10/06315 ,  A61B5/7264 ,  G06F3/0482 ,  G06F3/0484 ,  G06F9/542 ,  G06F16/245 ,  G06F18/2115 ,  G06F18/214 ,  G06F18/217 ,  G06F18/2415 ,  G06F18/41 ,  G06F21/6254 ,  G06N5/04 ,  G06N5/045 ,  G06N20/00 ,  G06N20/20 ,  G06Q20/14 ,  G06T3/40 ,  G06T5/50 ,  G06T5/70 ,  G06T5/94 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/10 ,  G06T7/11 ,  G06T7/187 ,  G06T7/44 ,  G06T7/97 ,  G06T11/001 ,  G06T11/006 ,  G06T11/206 ,  G06V10/225 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V30/19173 ,  G06V40/171 ,  G16H10/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  H04L67/01 ,  H04L67/12 ,  G16H50/70

摘要： A medical scan viewing system is configured to: generate inference data via at least one inference function, based the at least one medical scan and further based on receiver operating characteristic (ROC) parameters that include at least one ROC set point; present for display, via an interactive user interface, medical image data corresponding to the at least one medical scan, the inference data and a ROC adjustment tool; generate, in response to user interaction with the ROC adjustment tool, at least one adjusted ROC set point; generate updated inference data via the at least one inference function, based the at least one medical scan and further based on the at least one adjusted ROC set point; and present for display, via the interactive user interface, the medical image data corresponding to the at least one medical scan and the updated inference data.

公开(公告)号：US11829914B2

公开(公告)日：2023-11-28

申请号：US17680493

申请日：2022-02-25

申请人： Enlitic, Inc.

发明人： Kevin Lyman ,  Anthony Upton ,  Li Yao ,  Jordan Prosky ,  Eric C. Poblenz ,  Chris Croswhite ,  Ben Covington

IPC分类号： G16H30/20 ,  G06Q10/0631 ,  G16H10/60 ,  G16H30/40 ,  G16H15/00 ,  G06T5/00 ,  G06T5/50 ,  G06T7/00 ,  G06T11/00 ,  G06N5/04 ,  G06N20/00 ,  G06F9/54 ,  G06T7/187 ,  G06T7/11 ,  G06F3/0482 ,  G06T3/40 ,  A61B5/00 ,  G16H50/20 ,  G06F21/62 ,  G06Q20/14 ,  G16H40/20 ,  G06F3/0484 ,  G16H10/20 ,  G06N5/045 ,  G06T7/10 ,  G06T11/20 ,  G06F16/245 ,  G06T7/44 ,  G06N20/20 ,  H04L67/12 ,  H04L67/01 ,  G06V10/82 ,  G06F18/40 ,  G06F18/214 ,  G06F18/21 ,  G06F18/2115 ,  G06F18/2415 ,  G06V10/25 ,  G06V30/19 ,  G06V10/764 ,  G06V40/16 ,  G06V10/22 ,  G16H50/70 ,  G06T7/70 ,  G16H50/30 ,  A61B5/055 ,  A61B6/03 ,  A61B8/00 ,  A61B6/00 ,  G06Q50/22 ,  G06F40/295 ,  G06F18/24 ,  G06F18/2111 ,  G06V30/194

CPC分类号： G06Q10/06315 ,  A61B5/7264 ,  G06F3/0482 ,  G06F3/0484 ,  G06F9/542 ,  G06F16/245 ,  G06F18/214 ,  G06F18/217 ,  G06F18/2115 ,  G06F18/2415 ,  G06F18/41 ,  G06F21/6254 ,  G06N5/04 ,  G06N5/045 ,  G06N20/00 ,  G06N20/20 ,  G06Q20/14 ,  G06T3/40 ,  G06T5/002 ,  G06T5/008 ,  G06T5/50 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/10 ,  G06T7/11 ,  G06T7/187 ,  G06T7/44 ,  G06T7/97 ,  G06T11/001 ,  G06T11/006 ,  G06T11/206 ,  G06V10/225 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V30/19173 ,  G06V40/171 ,  G16H10/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  H04L67/01 ,  H04L67/12 ,  A61B5/055 ,  A61B6/032 ,  A61B6/5217 ,  A61B8/4416 ,  G06F18/2111 ,  G06F18/24 ,  G06F40/295 ,  G06Q50/22 ,  G06T7/70 ,  G06T2200/24 ,  G06T2207/10048 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30008 ,  G06T2207/30016 ,  G06T2207/30061 ,  G06V30/194 ,  G06V2201/03 ,  G16H50/30 ,  G16H50/70

摘要： A medical scan header standardization system is operable to determine a plurality of counts for a plurality of entries of at least one of a standard set of fields for headers of a plurality of medical images. A standard set of header entries is determined for at least one of the standard set of fields based on including ones of the entries for the each of the standard set of fields with counts of the plurality of counts that compare favorably to a threshold. One of the standard set of header entries is selected to replace an entry of a field of a header of a medical image. A computer vision model is trained utilizing a training set of images that includes the medical image and the selected one of the standard set of header entries. Inference data for at least one new medical scan is generated based on utilizing the computer vision model.

公开(公告)号：US11790297B2

公开(公告)日：2023-10-17

申请号：US17573184

申请日：2022-01-11

申请人： Enlitic, Inc.

发明人： Kevin Lyman ,  Li Yao ,  Eric C. Poblenz ,  Jordan Prosky ,  Ben Covington ,  Anthony Upton ,  Lionel Lints

IPC分类号： G16H50/20 ,  G06Q10/0631 ,  G16H10/60 ,  G16H30/40 ,  G16H15/00 ,  G06T5/00 ,  G06T5/50 ,  G06T7/00 ,  G06T11/00 ,  G06N5/04 ,  G16H30/20 ,  G06N20/00 ,  G06F9/54 ,  G06T7/187 ,  G06T7/11 ,  G06F3/0482 ,  G06T3/40 ,  A61B5/00 ,  G06F21/62 ,  G06Q20/14 ,  G16H40/20 ,  G06F3/0484 ,  G16H10/20 ,  G06N5/045 ,  G06T7/10 ,  G06T11/20 ,  G06F16/245 ,  G06T7/44 ,  G06N20/20 ,  H04L67/12 ,  H04L67/01 ,  G06V10/82 ,  G06F18/40 ,  G06F18/214 ,  G06F18/21 ,  G06F18/2115 ,  G06F18/2415 ,  G06V10/25 ,  G06V30/19 ,  G06V10/764 ,  G06V40/16 ,  G06V10/22 ,  G16H50/70 ,  G06T7/70 ,  G16H50/30 ,  A61B5/055 ,  A61B6/03 ,  A61B8/00 ,  A61B6/00 ,  G06Q50/22 ,  G06F40/295 ,  G06F18/24 ,  G06F18/2111 ,  G06V30/194

CPC分类号： G06Q10/06315 ,  A61B5/7264 ,  G06F3/0482 ,  G06F3/0484 ,  G06F9/542 ,  G06F16/245 ,  G06F18/214 ,  G06F18/217 ,  G06F18/2115 ,  G06F18/2415 ,  G06F18/41 ,  G06F21/6254 ,  G06N5/04 ,  G06N5/045 ,  G06N20/00 ,  G06N20/20 ,  G06Q20/14 ,  G06T3/40 ,  G06T5/002 ,  G06T5/008 ,  G06T5/50 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/10 ,  G06T7/11 ,  G06T7/187 ,  G06T7/44 ,  G06T7/97 ,  G06T11/001 ,  G06T11/006 ,  G06T11/206 ,  G06V10/225 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V30/19173 ,  G06V40/171 ,  G16H10/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  H04L67/01 ,  H04L67/12 ,  A61B5/055 ,  A61B6/032 ,  A61B6/5217 ,  A61B8/4416 ,  G06F18/2111 ,  G06F18/24 ,  G06F40/295 ,  G06Q50/22 ,  G06T7/70 ,  G06T2200/24 ,  G06T2207/10048 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30008 ,  G06T2207/30016 ,  G06T2207/30061 ,  G06V30/194 ,  G06V2201/03 ,  G16H50/30 ,  G16H50/70

摘要： A model-assisted annotating system is operable to receive a first set of annotation data, corresponding to a broad type of annotation data output. A first training step is performed to train a computer vision model using the first set of annotation data. A second set of annotation data corresponding to the broad type of annotation data output is generated performing an inference function utilizing the computer vision model on medical scans. Additional annotation data further specifies the broad type of annotation data output is received. A second training step is performed to generate an updated computer vision model using set of additional annotation data. A third set of annotation data corresponding to the specified type of annotation data output is generated by performing an updated inference function utilizing the updated computer vision model on medical scans.

公开(公告)号：US11720782B2

公开(公告)日：2023-08-08

申请号：US17135573

申请日：2020-12-28

申请人： Samsung Electronics Co., Ltd.

发明人： Chenchi Luo ,  Gyeongmin Choe ,  Yingmao Li ,  Zeeshan Nadir ,  Hamid R. Sheikh ,  John Seokjun Lee ,  Youngjun Yoo

IPC分类号： G06N3/00 ,  G06N3/045 ,  G06T7/60 ,  G06T7/44 ,  G06N3/08 ,  G06N3/042

CPC分类号： G06N3/045 ,  G06N3/042 ,  G06N3/08 ,  G06T7/44 ,  G06T7/60 ,  G06T2207/10024 ,  G06T2207/20081

摘要： A method includes obtaining, using at least one processor of an electronic device, multiple calibration parameters associated with multiple sensors of a selected mobile device. The method also includes obtaining, using the at least one processor, an identification of multiple imaging tasks. The method further includes obtaining, using the at least one processor, multiple synthetically-generated scene images. In addition, the method includes generating, using the at least one processor, multiple training images and corresponding meta information based on the calibration parameters, the identification of the imaging tasks, and the scene images. The training images and corresponding meta information are generated concurrently, different ones of the training images correspond to different ones of the sensors, and different pieces of the meta information correspond to different ones of the imaging tasks.

公开(公告)号：US11645770B2

公开(公告)日：2023-05-09

申请号：US17529012

申请日：2021-11-17

申请人： Palo Alto Research Center Incorporated

发明人： Vijay Kumar Baikampady Gopalkrishna ,  Raja Bala

IPC分类号： G06T7/44 ,  G06T7/00 ,  G06N20/00 ,  B29C64/393 ,  B29C64/35 ,  B29C64/209 ,  G06T7/136

CPC分类号： G06T7/44 ,  B29C64/209 ,  B29C64/35 ,  B29C64/393 ,  G06N20/00 ,  G06T7/0008 ,  G06T7/136

摘要： One embodiment can provide a system for detecting occlusion at an orifice of a three-dimensional (3D) printer nozzle while the printer nozzle is jetting liquid droplets. During operation, the system uses one or more cameras to capture an image of the orifice of the printer nozzle while the 3D printer nozzle is jetting liquid droplets. The system performs an image-analysis operation on the captured image to identify occluded regions within the orifice of the 3D printer nozzle, compute an occlusion fraction based on the determined occluded regions, and generate an output based on the computed occlusion fraction, thereby facilitating effective maintenance of the 3D printer.

公开(公告)号：US11626195B2

公开(公告)日：2023-04-11

申请号：US17447708

申请日：2021-09-15

申请人： Enlitic, Inc.

发明人： Kevin Lyman ,  Anthony Upton ,  Lionel Lints ,  Ben Covington

IPC分类号： G16H10/60 ,  G16H30/40 ,  G16H15/00 ,  G06K9/62 ,  G06T5/00 ,  G06T5/50 ,  G06T7/00 ,  G06T11/00 ,  G06N5/04 ,  G16H30/20 ,  G06N20/00 ,  G06F9/54 ,  G06T7/187 ,  G06T7/11 ,  G06F3/0482 ,  G06T3/40 ,  A61B5/00 ,  G16H50/20 ,  G06F21/62 ,  G06Q20/14 ,  G16H40/20 ,  G06F3/0484 ,  G06Q10/0631 ,  G16H10/20 ,  G06N5/045 ,  G06T7/10 ,  G06T11/20 ,  G06F16/245 ,  G06T7/44 ,  G06N20/20 ,  H04L67/12 ,  G06V10/22 ,  H04L67/01 ,  G06V10/82 ,  G16H50/70 ,  G06T7/70 ,  G16H50/30 ,  A61B5/055 ,  A61B6/03 ,  A61B8/00 ,  A61B6/00 ,  G06Q50/22 ,  G06F40/295 ,  G06V30/194

摘要： A method comprises displaying, via an interactive interface, a medical scan and a plurality of prompts of each prompt decision tree of a plurality of prompt decision trees in succession, beginning with automatically determined starting prompts of each prompt decision tree, in accordance with corresponding nodes of each prompt decision tree until a leaf node of each prompt decision tree is ultimately selected. Labeling data indicating the ultimately selected leaf node of each prompt decision tree is determined for the medical scan.

公开(公告)号：US20220361824A1

公开(公告)日：2022-11-17

申请号：US17862266

申请日：2022-07-11

申请人： Nutrits, Ltd.

发明人： Jacob Gunther ,  Nathan E. Ruben

IPC分类号： A61B5/00 ,  A61B5/107 ,  G06T7/194 ,  G06T7/44 ,  G06T7/143 ,  G06T7/13 ,  G06T7/00 ,  A61B5/08

摘要： For generating a breathing alert is disclosed, a method receives a video stream of a subject. The method further estimates a breathing signal from the video stream. The method determines one of a large-scale motion and/or a breathing event of the subject based on the breathing signal. The method generates an alert if both no breathing event is identified and no large-scale motion of the subject is identified within an event time interval.