公开(公告)号：US11886543B2

公开(公告)日：2024-01-30

申请号：US17294731

申请日：2019-11-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Juergen Weese ,  Thomas Blaffert ,  Tom Brosch ,  Hans Barschdorf

IPC: G06F18/21 ,  G06N20/00 ,  G06F18/40 ,  G06F18/214

CPC classification number: G06F18/2178 ,  G06F18/2148 ,  G06F18/40 ,  G06N20/00 ,  G06V2201/03

Abstract: A system and computer-implemented method are provided for annotation of image data. A user is enabled to iteratively annotate the image data. An iteration of said iterative annotation comprises generating labels for a current image data part based on user-verified labels of a previous image data part, and enabling the user to verify and correct said generated labels to obtain user-verified labels for the current image data part. The labels for the current image data part are generated by combining respective outputs of a label propagation algorithm and a machine-learned classifier trained on user-verified labels and image data and applied to image data of the current image data part. The machine-learned classifier is retrained using the user-verified labels and the image data of the current image data part to obtain a retrained machine-learned classifier.

公开(公告)号：US11875221B2

公开(公告)日：2024-01-16

申请号：US17468476

申请日：2021-09-07

Applicant: Adobe Inc.

Inventor： Wei-An Lin ,  Baldo Faieta ,  Cameron Smith ,  Elya Shechtman ,  Jingwan Lu ,  Jun-Yan Zhu ,  Niloy Mitra ,  Ratheesh Kalarot ,  Richard Zhang ,  Shabnam Ghadar ,  Zhixin Shu

IPC: G06N3/08 ,  G06F3/04845 ,  G06F3/04847 ,  G06T11/60 ,  G06T3/40 ,  G06N20/20 ,  G06T5/00 ,  G06T5/20 ,  G06T3/00 ,  G06T11/00 ,  G06F18/40 ,  G06F18/211 ,  G06F18/214 ,  G06F18/21 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06F3/04845 ,  G06F3/04847 ,  G06F18/211 ,  G06F18/214 ,  G06F18/2163 ,  G06F18/40 ,  G06N3/045 ,  G06N20/20 ,  G06T3/0006 ,  G06T3/0093 ,  G06T3/40 ,  G06T3/4038 ,  G06T3/4046 ,  G06T5/005 ,  G06T5/20 ,  G06T11/001 ,  G06T11/60 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2210/22

Abstract: Systems and methods generate a filtering function for editing an image with reduced attribute correlation. An image editing system groups training data into bins according to a distribution of a target attribute. For each bin, the system samples a subset of the training data based on a pre-determined target distribution of a set of additional attributes in the training data. The system identifies a direction in the sampled training data corresponding to the distribution of the target attribute to generate a filtering vector for modifying the target attribute in an input image, obtains a latent space representation of an input image, applies the filtering vector to the latent space representation of the input image to generate a filtered latent space representation of the input image, and provides the filtered latent space representation as input to a neural network to generate an output image with a modification to the target attribute.

公开(公告)号：US11868444B2

公开(公告)日：2024-01-09

申请号：US17380075

申请日：2021-07-20

Applicant: International Business Machines Corporation

Inventor： Michael Charles Hollinger ,  Mal Pattiarachi ,  Abhinav Pratap Singh

IPC: G06F18/40 ,  G06T19/00 ,  G06T19/20 ,  G06N20/00 ,  G06V20/20 ,  G06F18/214 ,  G06F18/21

CPC classification number: G06F18/40 ,  G06F18/214 ,  G06F18/217 ,  G06N20/00 ,  G06T19/006 ,  G06T19/20 ,  G06V20/20 ,  G06T2200/24 ,  G06T2219/2016

Abstract: In an approach for creating synthetic visual inspection data sets for training an artificial intelligence computer vision deep learning model utilizing augmented reality, a processor enables a user to capture a plurality of images of an anchor object using a camera on a user computing device. A processor receives the plurality of images of the anchor object from the user. A processor generates a baseline model of an anchor object. A processor generates a training data set. A processor trains the baseline model of the anchor object. A processor creates a trained Artificial Intelligence (AI) computer vision deep learning model. A processor enables the user to interact with the trained AI computer vision deep learning model in an access mode.

公开(公告)号：US11868433B2

公开(公告)日：2024-01-09

申请号：US17100549

申请日：2020-11-20

Applicant: Accenture Global Solutions Limited

Inventor： Sarah Crabb ,  Narendra Anand ,  Sai Gattu ,  Raquel Andrea Werner ,  Alfredo Arvide ,  Arijit Bhuyan ,  Gabriel Ernesto Gutierrez Anez ,  Aparna Pranavi Kakarlapudi

IPC: G06F18/214 ,  G06N20/00 ,  G06V20/00 ,  G06F3/14 ,  G06F18/40

CPC classification number: G06F18/214 ,  G06F3/14 ,  G06F18/40 ,  G06N20/00 ,  G06V20/00

Abstract: In some implementations, a target object identification system may train a machine learning model to identify a target object in a volume of solid waste. The target object identification system may receive, from at least one imaging device positioned in a waste processing facility, imaging data associated with a portion of a volume of solid waste. The target object identification system may identify, using the trained machine learning model and based at least in part on the imaging data, the target object, wherein the target object is disposed within the volume of solid waste. The target object identification system may provide, to a separator control assembly that controls a separator, an output associated with the target object, wherein the output is to facilitate removal of the target object from the volume of solid waste.

公开(公告)号：US11864562B2

公开(公告)日：2024-01-09

申请号：US17974657

申请日：2022-10-27

Applicant: Walmart Apollo, LLC

Inventor： Parul Aggarwal ,  Mangesh N. Kulkarni Wadhonkar ,  Amit Jhunjhunwala ,  Rahul Kumar ,  Raghav Mehta ,  Peeyush Taneja

IPC: A22C17/00 ,  G06T7/00 ,  G06T7/50 ,  G06F18/24 ,  G06F18/40 ,  G06F18/214 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V20/64 ,  G06V20/68

CPC classification number: A22C17/008 ,  G06F18/214 ,  G06F18/24 ,  G06F18/40 ,  G06T7/001 ,  G06T7/50 ,  G06V10/764 ,  G06V10/803 ,  G06V10/82 ,  G06V20/64 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30128 ,  G06V20/68

Abstract: In some embodiments, apparatuses and methods are provided herein useful to ensuring quality of meat cuts. In some embodiments, a system for ensuring quality of meat cuts comprises a capture device comprising an image capture device configured to capture an image of a cut of meat, a depth sensor configured to capture depth data, a transceiver configured to transmit the image and the depth data, a microcontroller configured to control the image capture device, the depth sensor, and the transceiver, a database configured to store meat cut specifications, and the control circuit configured to receive, from the capture device, the image and the depth data, retrieve, from the database, a meat cut specification, evaluate the image of the cut of meat and the depth data associated with the cut of meat, and classify the cut of meat.

公开(公告)号：US11861728B2

公开(公告)日：2024-01-02

申请号：US17886059

申请日：2022-08-11

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Weixin Wu ,  Philip Sangpil Moon ,  Scott Farris

IPC: G06V10/00 ,  G06Q40/08 ,  G06F8/35 ,  G06F17/18 ,  G06F16/904 ,  G06N20/00 ,  G06F18/40 ,  G06F18/21 ,  G06N7/01

CPC classification number: G06Q40/08 ,  G06F8/35 ,  G06F16/904 ,  G06F17/18 ,  G06F18/2163 ,  G06F18/2193 ,  G06F18/40 ,  G06N7/01 ,  G06N20/00

Abstract: Techniques for building and managing data models are provided. According to certain aspects, systems and methods may enable a user to input parameters associated with building one or more data models, including parameters associated with sampling, binning, and other factors. The systems and methods may automatically generate program code that corresponds to the inputted parameters and display the program code for review by the user. The systems and methods may build the data models and generate charts and plots depicting aspects of the data models. Additionally, the systems and methods may combine data models and select champion data models.

公开(公告)号：US11850021B2

公开(公告)日：2023-12-26

申请号：US17847796

申请日：2022-06-23

Applicant: HOLOGIC, INC.

Inventor： Haili Chui ,  Zhenxue Jing

IPC: G06K9/62 ,  A61B5/00 ,  G06N3/04 ,  G06N3/08 ,  G06F18/40 ,  G06F18/214 ,  G06F18/21 ,  G06V10/774 ,  G06V10/82

CPC classification number: A61B5/0033 ,  G06F18/214 ,  G06F18/217 ,  G06F18/40 ,  G06N3/04 ,  G06N3/08 ,  G06V10/774 ,  G06V10/82 ,  G06V2201/03

Abstract: A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.

公开(公告)号：US11847615B2

公开(公告)日：2023-12-19

申请号：US17104608

申请日：2020-11-25

Applicant: Randstad N.V.

Inventor： Glen Evan Cathey ,  Matthias Feys

IPC: G06Q10/1053 ,  G06N3/08 ,  G06Q10/105 ,  G06Q30/018 ,  G06Q30/0203 ,  G06Q30/08 ,  G06N3/045 ,  G06F18/22 ,  G06F18/40 ,  G06F18/214

CPC classification number: G06Q10/1053 ,  G06N3/045 ,  G06N3/08 ,  G06Q10/105 ,  G06Q30/018 ,  G06Q30/0203 ,  G06Q30/08 ,  G06F18/2148 ,  G06F18/22 ,  G06F18/40

Abstract: A computer-implemented system for job matching of candidates and vacancies, comprises: a candidate memory storing data of at least one candidate profile associated with a respective candidate and consisting of a plurality of different candidate categories, wherein each candidate category comprises candidate category data associated with the candidate; and a vacancy memory storing data of at least one vacancy profile associated with a respective vacancy and consisting of a plurality of different vacancy categories, wherein each vacancy category comprises vacancy category data associated with the vacancy. A matching module is configured to receive the at least one candidate profile, receive the at least one vacancy profile, determine at least one similarity score between the at least one candidate profile and the at least one vacancy profile, and determine a job matching result based on the at least one similarity score. An information module is configured to communicate the job matching result to a user. A feedback module is configured to receive feedback information associated with at least one of the plurality of candidate categories and the plurality of vacancy categories. The matching module is updated based on the received feedback information.

公开(公告)号：US20230401879A1

公开(公告)日：2023-12-14

申请号：US18457495

申请日：2023-08-29

Applicant: Hyland Software, Inc.

Inventor： Ralph Meier ,  Thorsten Wanschura ,  Johannes Hausmann ,  Harry Urbschat

IPC: G06V30/416 ,  G06T7/70 ,  G06T7/50 ,  G06V30/414 ,  G06V30/412 ,  G06F18/40 ,  G06V30/413

CPC classification number: G06V30/416 ,  G06T7/70 ,  G06T7/50 ,  G06V30/414 ,  G06V30/412 ,  G06F18/40 ,  G06V30/413 ,  G06T2207/30242 ,  G06T2207/30176 ,  G06T2207/10008 ,  G06V30/10

Abstract: Described herein are various technologies pertaining to text extraction from a document. A computing device receives the document. The document comprises computer-readable text and a layout, wherein the layout defines positions of the computer-readable text. Responsive to receiving the document, the computing device identifies at least one textual element in the computer-readable text based upon spatial factors between portions of the computer-readable text and contextual relationships between the portions of the computer-readable text. The computing device then outputs the at least one textual element.

公开(公告)号：US11816892B2

公开(公告)日：2023-11-14

申请号：US17942699

申请日：2022-09-12

Applicant: Monitoreal Limited

Inventor： Aydar Yakupov ,  Michael Alatortsev

IPC: G06V20/40 ,  G06T7/20 ,  G06V10/94 ,  G06V20/52 ,  G06V40/16 ,  G06F18/40 ,  H04N23/90 ,  G06V10/75 ,  G06V10/56 ,  G06F3/04847

CPC classification number: G06V20/41 ,  G06F18/40 ,  G06T7/20 ,  G06V10/56 ,  G06V10/75 ,  G06V10/94 ,  G06V20/46 ,  G06V20/48 ,  G06V20/49 ,  G06V20/52 ,  G06V40/172 ,  H04N23/90 ,  G06F3/04847 ,  G06T2207/10016

Abstract: Embodiments are directed to a smart camera device that analyzes independent video streams.