公开(公告)号：US20230401809A1

公开(公告)日：2023-12-14

申请号：US17819302

申请日：2022-08-11

Applicant: Inventec (Pudong) Technology Corporation ,  INVENTEC CORPORATION

Inventor： Jonathan Hans SOESENO ,  Trista Pei-Chun CHEN

IPC: G06V10/25 ,  G06T7/70 ,  G06V10/74 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06V10/25 ,  G06T7/70 ,  G06V10/761 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/07

Abstract: An image data augmentation device is provided, which comprises an image capturing circuit and a processor. The processor is configured to execute the following operations: using an object detection model to generate multiple bounding boxes and respective classification labels of the bounding boxes from an image; identifying an overlap ratio between the two bounding boxes, and determining whether the overlap ratio between the two bounding boxes is more than a ratio threshold, where the two bounding boxes have the same classification label; and when the overlap ratio between the two bounding boxes is more than the ratio threshold, deleting one of the two bounding boxes to update the bounding boxes, thereby by using the bounding boxes and the respective classification labels of the bounding boxes for executing machine learning.

公开(公告)号：US20230401691A1

公开(公告)日：2023-12-14

申请号：US17896663

申请日：2022-08-26

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： CHIH-TE LU ,  WAN-JHEN LEE ,  CHIN-PIN KUO

IPC: G06T7/00 ,  G06T5/50 ,  G06T7/11 ,  G06V10/28 ,  G06V10/74

CPC classification number: G06T7/0008 ,  G06T5/50 ,  G06T7/11 ,  G06T2207/20224 ,  G06V10/761 ,  G06V2201/07 ,  G06V10/28

Abstract: An image defect detection method applied to an electronic device is provided. The method includes dividing a detecting image into a plurality of detecting areas, generating a detection accuracy value for each detecting area based on a defective image and a non-defective image, and obtaining a plurality of detection accuracy values. An autoencoder is selected for each detection accuracy value. A model corresponding to each detecting area is obtained by training the autoencoder based on the non-defective image. A plurality of reconstructed image blocks is obtained by inputting each of a plurality of detecting blocks into the corresponding model, and a reconstruction error value between each reconstructed image block and the corresponding detecting block is obtained. A detection result of a product contained in the image to be detected is obtained based on the reconstruction error value corresponding to each detecting block.

公开(公告)号：US20230401683A1

公开(公告)日：2023-12-14

申请号：US18327959

申请日：2023-06-02

Applicant: Sony Interactive Entertainment Inc.

Inventor： Lloyd Preston Stemple ,  Sahin Serdar Kocdemir ,  Andrew William Walker ,  Christopher William Henderson

IPC: G06T5/50 ,  G06T7/70 ,  G06V10/44

CPC classification number: G06T5/50 ,  G06T7/70 ,  G06V10/44 ,  G06V2201/07 ,  G06T2207/20221

Abstract: A data processing apparatus includes circuitry configured to: receive an image of a user in an environment; detect an object in the image; perform one of a plurality of user-selectable processes associated with the object, each of the plurality of user-selectable processes being associated with hiding a visual characteristic of the object in the image; and after the one of the plurality of user-selectable processes has been performed, transmit data representing the image.

公开(公告)号：US20230396742A1

公开(公告)日：2023-12-07

申请号：US18450810

申请日：2023-08-16

Applicant: Nathaniel Joseph MCCANN ,  Eugene Carroll CROUCH ,  Robert J FITZSIMMONS, II

Inventor： Nathaniel Joseph MCCANN ,  Eugene Carroll CROUCH ,  Robert J FITZSIMMONS, II

IPC: H04N7/18 ,  G06V20/40

CPC classification number: H04N7/181 ,  G06V20/42 ,  G06V2201/07

Abstract: Systems, methods, and computer programming products to provide real-time streaming of video content, hit indicators, and hit analytics from target locations to users, spectators, and certification authorities are provided. One embodiment includes a camera unit, configured to be directed at a target, to capture a stream of video content, and to transmit the stream of video content to a receiving unit and computing system. The computing system is configured to identify hit locations of projectiles on the target through optical processing of the stream of video content. The computing system is further configured to compute analytics pertaining to the detected hit locations on the target. Additionally, the computing system is configured to generate enhanced video content by indicating the location of the hit and/or computed analytics within the stream of video content and transmit the enhanced video content for display on one or more display devices.

公开(公告)号：US11837023B2

公开(公告)日：2023-12-05

申请号：US17640160

申请日：2020-09-15

Applicant: NEC Corporation

Inventor： Takahiro Toizumi ,  Koichi Takahashi

IPC: G06K9/00 ,  G06V40/18 ,  G06V10/77 ,  G06T3/60

CPC classification number: G06V40/18 ,  G06T3/60 ,  G06V10/7715 ,  G06V2201/07

Abstract: A detection system (10) includes: an acquisition unit (110) configured to acquire an image including a living body; and a detection unit (120) configured to detect, from the image, a feature figure corresponding to an appropriately circular first part on the living body, and feature points corresponding to a second part around the first part on the living body. According to such a detection system, the first part and the second part with different features in shape can be individually detected appropriately.

公开(公告)号：US20230386217A1

公开(公告)日：2023-11-30

申请号：US18298124

申请日：2023-04-10

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer

IPC: G06V20/52 ,  G06V20/40 ,  G06V10/70 ,  G06Q20/20

CPC classification number: G06V20/52 ,  G06V20/44 ,  G06V10/70 ,  G06Q20/208 ,  G06V2201/07

Abstract: The disclosed technology provides for automatically detecting and responding to potentially suspicious or risky activity in a retail environment. A method can include receiving, from monitoring devices in a retail environment, a stream of activity data, applying a model to the stream of activity data to identify a portion of the data corresponding to guest activity during a checkout process, identifying whether a risk event is associated with the activity, determining a guest risk impact score, selecting (i) a particular manual response from among candidate manual responses and (ii) a particular automated response from among candidate automated responses based on the risk impact score satisfying manual response criteria and/or automated response criteria, transmitting instructions to a POS terminal to implement the particular automated response, and/or transmitting instructions to implement the particular manual response to one or more mobile devices, that prompt employees to perform the manual response.

公开(公告)号：US20230386176A1

公开(公告)日：2023-11-30

申请号：US18031972

申请日：2021-10-19

Applicant: BIOMERIEUX ,  BIOASTER

Inventor： Pierre MAHÉ ,  Meriem EL AZAMI ,  Elodie DEGOUT-CHARMETTE ,  Zohreh SEDAGHAT ,  Quentin JOSSO ,  Fabian ROL

IPC: G06V10/764 ,  G06T7/11 ,  G06V10/24 ,  G06V10/771 ,  G06V20/69

CPC classification number: G06V10/764 ,  G06T7/11 ,  G06V10/24 ,  G06V10/771 ,  G06V20/69 ,  G06V2201/07 ,  G06T2207/20084 ,  G06T2207/20132

Abstract: A method for classifying at least one input image representing a target particle in a sample involves implementing, by data processing a client, steps of: (B) extracting a characteristic map of the target particle from the input image; (c) reducing the number of variables in the extracted characteristic map, using the t-SNE algorithm; (d) classifying, unsupervised, the input image based on the characteristic map having a reduced number of variables.

公开(公告)号：US20230386049A1

公开(公告)日：2023-11-30

申请号：US18031710

申请日：2020-10-26

Applicant: NEC Corporation

Inventor： Noboru YOSHIDA

IPC: G06T7/20 ,  G06T7/73 ,  G06V20/52

CPC classification number: G06T7/20 ,  G06T7/73 ,  G06V20/52 ,  G06V2201/07 ,  G06T2207/20044

Abstract: A tracking apparatus that includes a detection unit that detects a tracked target from at least two frames constituting video data; an extraction unit that extracts at least one key point from the tracked target having been detected, a posture information generation unit that generates posture information of the tracked target based on the at least one key point, and a tracking unit that tracks the tracked target based on a position and an orientation of the posture information of the tracked target detected from each of the at least two frames.

公开(公告)号：US20230381971A1

公开(公告)日：2023-11-30

申请号：US18447689

申请日：2023-08-10

Applicant: MUJIN, INC.

Inventor： Jinze YU ,  Jose Jeronimo MOREIRA RODRIGUES

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

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

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：US11830218B2

公开(公告)日：2023-11-28

申请号：US17995195

申请日：2021-10-15

Applicant: SLAMcore Limited

Inventor： Pablo Alcantarilla ,  Alexandre Morgand ,  Maxime Boucher

IPC: G06T7/73 ,  G06V10/74 ,  G06V10/44 ,  G06T17/05

CPC classification number: G06T7/73 ,  G06T17/05 ,  G06V10/44 ,  G06V10/761 ,  G06T2207/20016 ,  G06V2201/07

Abstract: Provided are a mobile device (100) and computer-implemented method (700) for localisation in an existing map of a 3-D environment. For a first image frame, a first pose is localised based on visual features. For a second image frame, a pose is predicted (810) based on inertial measurements, combined with the pose of the first image frame. Based on the predicted pose, the method predicts (830) a set of landmarks that are likely to be visible. A second pose is then calculated (850), for the second image frame, based on matching (840) visual features of the second image frame to the set of landmarks.