公开(公告)号：US20240362933A1

公开(公告)日：2024-10-31

申请号：US18687961

申请日：2022-08-29

Applicant: TRUEMED OY

Inventor： Tuomas KANNAS ,  Ville RAITIO ,  Oskari HEIKEL ,  Olli PALOHEIMO ,  Jyrki BERG ,  Nicola PICCININI ,  Hemmo LATVALA ,  Amir NAZARBEIGI

IPC: G06V20/64 ,  G06T3/4038 ,  G06T7/246 ,  G06T7/33 ,  G06V10/10 ,  G06V10/12 ,  G06V10/24 ,  G06V10/44 ,  G06V10/46 ,  G06V10/75 ,  G06V10/82

CPC classification number: G06V20/647 ,  G06T3/4038 ,  G06T7/246 ,  G06T7/337 ,  G06V10/12 ,  G06V10/16 ,  G06V10/24 ,  G06V10/44 ,  G06V10/46 ,  G06V10/757 ,  G06V10/82

Abstract: A method, mobile user device and system for identifying authenticity of a cylindrical object from photographic images. The method includes acquiring two or more photographic images of the cylindrical object from different angles around the cylinder axis (A) with an imaging device, generating a target image from the two or more photographic images by image stitching, analysing the target image in relation to a reference image representing an original cylindrical object and generating an identification output based on the analysing, and generating an authenticity identification indication based on the identification output.

公开(公告)号：US20240362903A1

公开(公告)日：2024-10-31

申请号：US18308767

申请日：2023-04-28

Applicant: Dell Products L.P.

Inventor： Iam Palatnik de Sousa ,  Shary Beshara

IPC: G06V10/82 ,  G06F40/117 ,  G06V10/764

CPC classification number: G06V10/82 ,  G06F40/117 ,  G06V10/764

Abstract: One example method includes a machine-learning (ML) model receiving a first input that includes images that have been extracted from a web page and a second input that includes alt-texts that have been extracted from the web page. The alt-texts describe the images. The ML model converts the images into a first embedding representation and converts the alt-texts into a second embedding representation. Based on the first and second embedding representations, a similarity score between the images and the alt-texts is calculated. The similarity score specifies how accurately each of the alt-texts describe the images. The one of the alt-texts having the highest similarity score is then selected.

公开(公告)号：US20240362886A1

公开(公告)日：2024-10-31

申请号：US18645430

申请日：2024-04-25

Applicant: THINKWARE CORPORATION

Inventor： Haejun JUNG ,  Yosep PARK

IPC: G06V10/26 ,  G06V10/22 ,  G06V10/44 ,  G06V10/774 ,  G06V10/82 ,  G06V10/98 ,  G06V20/58 ,  G06V20/62

CPC classification number: G06V10/26 ,  G06V10/22 ,  G06V10/44 ,  G06V10/774 ,  G06V10/82 ,  G06V10/993 ,  G06V20/58 ,  G06V20/625 ,  G06V2201/08

Abstract: An electronic device may include a camera and a processor. The processor may be configured to: identify a width of a window to be used to segment the image, based on a field-of-view (FoV) of an image obtained through the camera, identify a height of the window based on a first area including a visual object corresponding to a reference surface, segment the first area to a plurality of partial areas, using the window, based on the width and the height, identify whether an external object is included in the first partial area, from a neural network to which a first partial area among the plurality of partial areas is inputted, and based on a gap identified based on whether the external object is included in the first partial area, obtain a second partial area separated from the first partial area within the image.

公开(公告)号：US20240362848A1

公开(公告)日：2024-10-31

申请号：US18628865

申请日：2024-04-08

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Hoi Jun YOO ,  Dong hyeon HAN

IPC: G06T15/00 ,  G06F3/01 ,  G06T7/11 ,  G06V10/56 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06T15/00 ,  G06F3/013 ,  G06T7/11 ,  G06V10/56 ,  G06V10/764 ,  G06V10/82

Abstract: Provided is a 3D rendering accelerator based on a DNN trained using a weight of the DNN using a plurality of 2D photos obtained by imaging the same object from several directions and then configured to perform 3D rendering using the same, the 3D rendering accelerator including a VPC configured to create an image plane for a 3D rendering target from a position and a direction of an observer, divide the image plane into a plurality of tile units, and then perform brain imitation visual recognition on the divided tile-unit images to determine to reduce a DNN inference range, an HNE including a plurality of NEs having different operational efficiencies and configured to accelerate DNN inference by dividing and allocating tasks, and a DNNA core configured to generate selection information for allocating each task to one of the plurality of NEs based on a sparsity ratio.

公开(公告)号：US20240362831A1

公开(公告)日：2024-10-31

申请号：US18029093

申请日：2021-09-30

Applicant: RAKUTEN GROUP, INC.

Inventor： Hiya ROY ,  Mitsuru NAKAZAWA ,  Bjorn STENGER

IPC: G06T11/00 ,  G06T7/11 ,  G06V10/44 ,  G06V10/82

CPC classification number: G06T11/001 ,  G06T7/11 ,  G06V10/454 ,  G06V10/82 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30196

Abstract: Provided is an information-processing device including: a CPU; and a memory storing instructions for causing the information-processing device, when executed by the CPU, to: output an intermediate heatmap for input of an input image by using at least one of a plurality of machine learning models; and generate a heatmap based on an attribute of the input image, which is provided independently of the input image, and the intermediate heatmaps.

公开(公告)号：US20240362798A1

公开(公告)日：2024-10-31

申请号：US18647042

申请日：2024-04-26

Applicant: Palantir Technologies Inc.

Inventor： Joseph Adam Driscoll ,  Aleksandr Patsekin ,  Ben Radford ,  Daniel Marasco ,  Dimitrios Lymperopoulos ,  Ethan Van Andel ,  Keun Jae Kim ,  Mary Cameron ,  Michel Goraczko ,  Miles Sackler ,  Prasanna Srikhanta ,  Rodney LaLonde ,  Stephen Ramsey ,  Tong Shen ,  Xin Li ,  Yue Wu ,  Cameron Derwin

IPC: G06T7/20 ,  G06T3/4038 ,  G06T7/70 ,  G06V10/20 ,  G06V10/82

CPC classification number: G06T7/20 ,  G06T3/4038 ,  G06T7/70 ,  G06V10/255 ,  G06V10/82

Abstract: In some examples, systems and methods for multiple-sensor object tracking are provided. For example, a method includes: receiving a first sensor feed and a second sensor feed from a plurality of sensors respectively. The first sensor feed includes a set of first images. The second sensor feed includes a set of second images. In some examples, the method further includes generating an image transformation based on at least one first image in the set of first images and at least one second image in the set of second images, applying the image transformation to the set of second images, aggregating the set of first images and the set of transformed second images to generate a set of aggregated images, and applying a multiple object tracking model to the set of aggregated images to identify a plurality of objects.

公开(公告)号：US20240362574A1

公开(公告)日：2024-10-31

申请号：US18647314

申请日：2024-04-26

Applicant: Synchrony Bank

Inventor： Ujjval Patel ,  Xiaodan Du ,  Lucas McDonald

IPC: G06Q10/0833 ,  G06N3/04 ,  G06N3/08 ,  G06Q20/12 ,  G06Q20/32 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  G06V40/16 ,  G06V40/20

CPC classification number: G06Q10/0833 ,  G06N3/04 ,  G06N3/08 ,  G06Q20/12 ,  G06Q20/3224 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  G06V40/172 ,  G06V40/23

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

公开(公告)号：US20240362489A1

公开(公告)日：2024-10-31

申请号：US18769814

申请日：2024-07-11

Applicant: KEISUUGIKEN CORPORATION

Inventor： Naohiro HAYAISHI ,  Kazuma TAKAHARA

IPC: G06N3/084 ,  G06F18/21 ,  G06F18/214 ,  G06N20/00 ,  G06V10/20 ,  G06V10/26 ,  G06V10/44 ,  G06V10/56 ,  G06V10/82 ,  G06V20/66

CPC classification number: G06N3/084 ,  G06F18/214 ,  G06F18/217 ,  G06N20/00 ,  G06V10/255 ,  G06V10/26 ,  G06V10/454 ,  G06V10/56 ,  G06V10/82 ,  G06V20/66

Abstract: A counting apparatus includes: a storage unit storing a learning model, the learning model being trained using multiple pairs of training input images each obtained by capturing an image of multiple count target objects with the same shape, and training output images each containing teaching figures that are arranged at respective positions of the multiple count target objects. A captured image acquiring unit acquiring a captured image of multiple count target objects; an output image acquiring unit acquiring an output image in which the count target objects contained in the captured image are converted into count target figures, by applying the captured image to the learning model. A counting unit counting the number of count target objects, using the multiple count target figures contained in the output image; and an output unit outputting the number of count target objects counted by the counting unit.

公开(公告)号：US20240362267A1

公开(公告)日：2024-10-31

申请号：US18139514

申请日：2023-04-26

Applicant: eBay Inc,

Inventor： Fei DONG ,  Wei LIU ,  Bin LI

IPC: G06F16/58 ,  G06F16/532 ,  G06F16/538 ,  G06V10/74 ,  G06V10/82

CPC classification number: G06F16/5866 ,  G06F16/532 ,  G06F16/538 ,  G06V10/761 ,  G06V10/82

Abstract: A text-based search optimization via implicit image search augmentation eliminates or reduces the need for providing an image query input, performing multiple search queries, displaying multiple user interfaces, and the like by enabling a search engine to return a single set of search results comprising an aggregated and ranked set of text-based results and a set of image-based results based on one or more text-based keywords of a search query. Initially, a search query comprising one or more text-based keywords is received at a search engine. A machine learning model is utilized to generate an image based on a first portion of the one or more text-based keywords. Image-based results are generated based on the image. Text-based results are generated based on a second portion of the one or more text-based keywords. The image-based results and the text-based results are aggregated and ranked in a single set of search results.

公开(公告)号：US20240358354A1

公开(公告)日：2024-10-31

申请号：US18688559

申请日：2022-09-02

Applicant: DIAGNOLY

Inventor： Ivan VOZNYUK ,  Edwin QUARELLO

IPC: A61B8/00 ,  G06T7/00 ,  G06V10/25 ,  G06V10/82 ,  G06V20/50

CPC classification number: A61B8/469 ,  G06T7/0012 ,  G06V10/25 ,  G06V10/82 ,  G06V20/50 ,  G06T2207/10132 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06V2201/031

Abstract: A device for guiding a user in ultrasound assessment of an organ to perform a diagnostic or screening evaluation of the organ during a medical examination, the ultrasound assessment being based on ultrasound images, the device including a processor configured to detect and identify the presence of at least one landmark or the absence of landmarks in a current ultrasound image; verify whether the identified landmarks in the current image are present in a landmark database; if at least one of the identified landmarks in the current image are not present in the landmark database: triggering storage of the current ultrasound image and of the at least one identified landmark which was not included the landmarks database; verifying that all required landmarks have been stored in the landmark database and if at least one of the required landmarks is missing, triggering reception at least one additional current ultrasound image.