公开(公告)号：US12131512B2

公开(公告)日：2024-10-29

申请号：US17529417

申请日：2021-11-18

Applicant: GUANGDONG LYRIC ROBOT AUTOMATION CO., LTD.

Inventor： Yixian Du ,  Gang Wang ,  De Chen ,  Jinjin Shi

IPC: G06V10/24 ,  G06T7/12 ,  G06T7/13 ,  G06T7/168 ,  G06T7/194 ,  G06V10/77 ,  G06V20/69

CPC classification number: G06V10/245 ,  G06T7/12 ,  G06T7/13 ,  G06T7/168 ,  G06T7/194 ,  G06V10/7715 ,  G06V20/69 ,  G06V20/693

Abstract: A product positioning method includes collecting a product image of a product, dividing the product image into a plurality of rectangular regions, performing integral image calculation on each rectangular region to obtain a plurality of integral images, forming n integral image regions each having four said integral images with two adjacent sides of each of the four said integral images connecting with one side of other two images of the four said integral images, numbering the four said integral images clockwise or counterclockwise, performing differential calculation on each integral image region to obtain a differential value according to the four said integral images, obtaining coordinates of a vertex of the product according to the differential values, and performing position correction on the product image according to obtained coordinates of the vertex and coordinates of a target vertex.

公开(公告)号：US12100188B2

公开(公告)日：2024-09-24

申请号：US18575791

申请日：2022-12-27

Applicant: THE INSTITUTE OF OPTICS AND ELECTRONICS, THE CHINESE ACADEMY OF SCIENCES

Inventor： Xiangang Luo ,  Chengwenli Li ,  Minggang Liu ,  Jian Yan ,  Changtao Wang

IPC: G06V10/24 ,  G06T7/62 ,  G06V10/26 ,  G06V10/44

CPC classification number: G06V10/245 ,  G06T7/62 ,  G06V10/26 ,  G06V10/443 ,  G06T2207/20061 ,  G06T2207/20076

Abstract: Provided are template mark detection method and template position correction method based on single camera, including: performing image collection on mark on template by single camera, and obtaining binary image after preprocessing; performing corner detection of jagged edges on binary image to obtain corner set of jagged edges; performing edge detection and line detection sequentially on binary image to obtain set of edge line segments from coarse detection; traversing such set, and judging and retaining collinear line segments, to obtain set of collinear line segments from coarse detection; traversing corner set of jagged edges, for point-line collinearity judgment with line segments in set of collinear line segments from coarse detection, to obtain set of point-line from fine detection; and performing linear fitting on set of point-line from fine detection, and calculating an inclination angle of each straight line through an arctan function, thus completing detection of mark.

公开(公告)号：US20240307015A1

公开(公告)日：2024-09-19

申请号：US18641232

申请日：2024-04-19

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques

IPC: A61B6/50 ,  A61B5/00 ,  A61B5/055 ,  A61B6/00 ,  A61B6/03 ,  A61B6/46 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06F18/10 ,  G06T7/00 ,  G06V10/20 ,  G06V10/24 ,  G06V10/74 ,  G06V10/764 ,  G06V10/82

CPC classification number: A61B6/504 ,  A61B5/0066 ,  A61B5/0075 ,  A61B5/055 ,  A61B5/7267 ,  A61B5/742 ,  A61B5/7475 ,  A61B6/032 ,  A61B6/037 ,  A61B6/463 ,  A61B6/467 ,  A61B6/481 ,  A61B6/5205 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06F18/10 ,  G06T7/0012 ,  G06V10/20 ,  G06V10/245 ,  G06V10/761 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10101 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06V10/247

Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

公开(公告)号：US20240277308A1

公开(公告)日：2024-08-22

申请号：US18629673

申请日：2024-04-08

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques

IPC: A61B6/50 ,  A61B5/00 ,  A61B5/055 ,  A61B6/00 ,  A61B6/03 ,  A61B6/46 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06F18/10 ,  G06T7/00 ,  G06V10/20 ,  G06V10/24 ,  G06V10/74 ,  G06V10/764 ,  G06V10/82

CPC classification number: A61B6/504 ,  A61B5/0066 ,  A61B5/0075 ,  A61B5/055 ,  A61B5/7267 ,  A61B5/742 ,  A61B5/7475 ,  A61B6/032 ,  A61B6/037 ,  A61B6/463 ,  A61B6/467 ,  A61B6/481 ,  A61B6/5205 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06F18/10 ,  G06T7/0012 ,  G06V10/20 ,  G06V10/245 ,  G06V10/761 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10101 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06V10/247

Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

公开(公告)号：US20240273853A1

公开(公告)日：2024-08-15

申请号：US18575791

申请日：2022-12-27

Applicant: THE INSTITUTE OF OPTICS AND ELECTRONICS, THE CHINESE ACADEMY OF SCIENCES

Inventor： Xiangang LUO ,  Chengwenli LI ,  Minggang LIU ,  Jian YAN ,  Changtao WANG

IPC: G06V10/24 ,  G06T7/62 ,  G06V10/26 ,  G06V10/44

CPC classification number: G06V10/245 ,  G06T7/62 ,  G06V10/26 ,  G06V10/443 ,  G06T2207/20061 ,  G06T2207/20076

Abstract: The present disclosure provides a template mark detection method and a template position correction method based on a single camera, including: S1, carrying out image collection on a mark on a template by a single camera, and obtaining a binary image after preprocessing; S2, carrying out corner detection of jagged edges on the binary image to obtain a corner set of jagged edges; S3, performing edge detection and line detection in sequence on the binary image to obtain a set of edge line segments from coarse detection; S4, traversing the set of edge line segments from coarse detection, and judging and retaining collinear line segments therein, to obtain a set of collinear line segments from coarse detection; S5, traversing the corner set of jagged edges, for point-line collinearity judgment with line segments in the set of collinear line segments from coarse detection, to obtain a set of point-line from fine detection; and S6, carrying out linear fitting on the set of point-line from fine detection, and calculating an inclination angle of each straight line through an arctan function, thus completing detection of the mark. Further, a position of the template is corrected.

公开(公告)号：US12062224B2

公开(公告)日：2024-08-13

申请号：US17581035

申请日：2022-01-21

Applicant: CurioSearch

Inventor： Bharat Vijay ,  Jayanth Vijayaraghavan ,  Arvind Prabhakar ,  Ayyar Arun Balavenkatasubramanian ,  Srihari Padmanaban Venkatesan

IPC: G06V10/74 ,  G06T11/60 ,  G06V10/20 ,  G06V10/24 ,  G06V10/56 ,  G06V20/20

CPC classification number: G06V10/761 ,  G06T11/60 ,  G06V10/245 ,  G06V10/255 ,  G06V10/56 ,  G06V20/20 ,  G06T2200/24 ,  G06T2210/16

Abstract: Described herein is a system and computer implemented method for finding similars for a selected clothing image amongst a set of clothing images in an electronic catalog in an online store serving online customers. An object detection model is applied to extract the clothing section within the clothing images to create a preprocessed image. A first machine learning model is applied on the preprocessed image(s) to convert the colors and textures of said preprocessed image into a first set of vector representations. A second machine learning model is applied on the preprocessed image(s) to convert the shapes of said preprocessed image into a second set of vector representations. Operations of mapping nearest vectors, matching attributes, sorting and ranking are performed, and thereafter similar images are displayed to the online customer.

公开(公告)号：US20240242461A1

公开(公告)日：2024-07-18

申请号：US18014807

申请日：2020-07-06

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Matthew D GAUBATZ ,  Robert A ULICHNEY ,  Stephen Bernard POLLARD

IPC: G06V10/24 ,  G06K7/14

CPC classification number: G06V10/245 ,  G06K7/1443

Abstract: A system and method to decode data is disclosed. A process to decode data rendered as localized position features is applied. The process to decode includes stages. A feature location parameter is adjusted. A stage of the process is reapplied.

公开(公告)号：US12026595B2

公开(公告)日：2024-07-02

申请号：US17422399

申请日：2019-11-14

Applicant: Siemens Schweiz AG

Inventor： Christian Frey ,  Oliver Zechlin

IPC: G06V20/70 ,  G06F30/20 ,  G06N20/00 ,  G06V10/22 ,  G06V10/24 ,  G06V10/764 ,  G06V10/772 ,  G06V10/82 ,  G06V20/10 ,  G06V20/50

CPC classification number: G06N20/00 ,  G06F30/20 ,  G06V10/225 ,  G06V10/245 ,  G06V10/764 ,  G06V10/772 ,  G06V10/82 ,  G06V20/10 ,  G06V20/50 ,  G06V20/70

Abstract: Various embodiments of the teachings herein include a building object detection system for a building comprising: a scanner to generate scan data; an artificial intelligence module implemented on a processing unit trained to process the scan data to detect and automatically classify building objects installed within the space; a database to store different types of building objects and associated installation rules; and a verification unit to verify the classification of a building object based on compliance with the installation rules. The AI is trained using labeled training data comprising labels derived from scan data of previously scanned building objects provided with associated object identifiers. A second set of installation rules is loaded from the database based at least in part on a location of the building.

公开(公告)号：US11997427B2

公开(公告)日：2024-05-28

申请号：US17684318

申请日：2022-03-01

Applicant: Grabango Co.

Inventor： William Glaser ,  Brian Van Osdol

IPC: H04N7/18 ,  G06F18/213 ,  G06V10/24 ,  G06V20/52 ,  G06V20/62 ,  G06V40/10 ,  G06V40/20 ,  G08B13/196 ,  H04L12/28 ,  H04L67/12 ,  H04N23/51 ,  H04N23/57 ,  H05B47/105 ,  H05B47/125 ,  H05B47/19

CPC classification number: H04N7/18 ,  G06F18/213 ,  G06V10/245 ,  G06V20/52 ,  G06V40/10 ,  G06V40/20 ,  G08B13/196 ,  H04L12/2809 ,  H04L12/2814 ,  H04L12/282 ,  H04L67/12 ,  H04N7/183 ,  H04N23/51 ,  H04N23/57 ,  H05B47/105 ,  H05B47/125 ,  H05B47/19 ,  G06V20/63

Abstract: A system and method for extracting uncoupled information from a user interface output that includes collecting image data; processing the image data associated with the device interface source; and exposing the result to the extracted interface representation.

公开(公告)号：US11995877B2

公开(公告)日：2024-05-28

申请号：US17645830

申请日：2021-12-23

Applicant: Continental Autonomous Mobility US, LLC

Inventor： Eduardo Jose Ramirez Llanos ,  Xin Yu ,  Matthew Donald Berkemeier

IPC: G06V10/24 ,  B60R1/28 ,  B62D13/00 ,  B62D15/02 ,  G06V10/25 ,  G06V10/26 ,  G06V20/58 ,  G06V20/59

CPC classification number: G06V10/245 ,  B60R1/28 ,  B62D13/005 ,  B62D15/0295 ,  G06V10/25 ,  G06V10/267 ,  G06V20/58 ,  G06V20/59 ,  G06V2201/07

Abstract: A vehicle driver assist system provides for the location of a target feature in an initial image and updates the location of that target feature based on information indicative of vehicle dynamic operation. The system predicts a relative position of the target feature within subsequent images such that only a portion of subsequent images need by analyzed and searched.