公开(公告)号：US11901969B2

公开(公告)日：2024-02-13

申请号：US18048998

申请日：2022-10-24

Applicant: Verizon Patent and Licensing Inc.

Inventor： Srinivas Venkatraman

IPC: G06T7/00 ,  H04B3/46 ,  G06T7/50 ,  G06N20/00 ,  G06F18/214 ,  G06V10/10 ,  G06V10/70

CPC classification number: H04B3/46 ,  G06F18/214 ,  G06N20/00 ,  G06T7/001 ,  G06T7/50 ,  G06V10/17 ,  G06V10/70 ,  G06T2207/10004 ,  G06T2207/20081

Abstract: A device may receive, from a user device, connector panel information associated with a connector panel. The connector panel may provide a connection, via a port, for a service of a network. The device may receive an image that depicts a physical configuration of the connector panel. The device may process, using a port analysis model, the image to identify a port status of a port of the connector panel. The device may determine, based on the port status, that the port is available for the connection. The device may provide, to the user device, instructions for using the port for the connection. The device may obtain a verification that the connection has been established via the port. The device may perform one or more actions associated with providing the service.

公开(公告)号：US20240029298A1

公开(公告)日：2024-01-25

申请号：US18043607

申请日：2021-04-08

Applicant: Beijing Roborock Innovation Technology Co., Ltd.

Inventor： Han LUO ,  Jingying CAO ,  Ronglei TONG ,  Lina CAO ,  Jun CHEN ,  Jiayao MA ,  Shuangshuang WANG

IPC: G06T7/73 ,  G06V10/70 ,  G05D1/02 ,  A47L11/40

CPC classification number: G06T7/74 ,  G06V10/70 ,  G05D1/0246 ,  G05D1/0274 ,  A47L11/4011 ,  G06T2207/30244 ,  G05D2201/0203 ,  A47L2201/04

Abstract: A locating method and apparatus for a robot, and a computer-readable storage medium. The locating method includes: determining current possible pose information of the robot according to current ranging data collected by a ranging unit; determining, according to first current image data collected by an image collection unit, first historical image data matching with the first current image data, the first historical image data being collected by the image collection unit at a historical moment; obtaining first historical pose information of the robot at a moment when the first historical image data is collected; and in response to quantity of the current possible pose information being at least two pieces, matching the first historical pose information with each piece of the current possible pose information, and using matched current possible pose information as current target pose information.

公开(公告)号：US20240020943A1

公开(公告)日：2024-01-18

申请号：US18205737

申请日：2023-06-05

Applicant: LX SEMICON CO., LTD.

Inventor： Bo Sung KIM

IPC: G06V10/60 ,  G06T7/11 ,  G06V10/50 ,  G06V10/70

CPC classification number: G06V10/60 ,  G06T7/11 ,  G06V10/507 ,  G06V10/70

Abstract: According to an embodiment of the disclosure, an image processing device, which is capable of detecting a distortable pattern that is likely to be distorted, includes a block luminance acquirer configured to divide a plurality of pixels constituting an input image into a plurality of blocks and acquire luminance for each of the plurality of blocks, a pattern detector configured to analyze a luminance correlation between the plurality of blocks and detect a distortable pattern, and a luminance corrector configured to correct the luminance of the plurality of pixels or bypass the plurality of pixels according to whether the distortable pattern is detected.

公开(公告)号：US20240019939A1

公开(公告)日：2024-01-18

申请号：US18366314

申请日：2023-08-07

Applicant: SoftEye, Inc.

Inventor： Te-Won Lee ,  Edwin Chongwoo Park

IPC: G06F3/01 ,  G06V10/70 ,  G06V40/20 ,  H04N23/65 ,  G06T11/00 ,  G06V10/25 ,  G06V10/82 ,  G06V40/18 ,  G06V10/26 ,  G06F3/16

CPC classification number: G06F3/017 ,  G06V10/70 ,  G06V40/28 ,  H04N23/651 ,  G06V40/20 ,  G06F3/013 ,  G06T11/00 ,  G06V10/25 ,  G06V10/82 ,  G06V40/18 ,  G06V10/26 ,  G06F3/167

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (

公开(公告)号：US11875550B2

公开(公告)日：2024-01-16

申请号：US17126765

申请日：2020-12-18

Applicant: International Business Machines Corporation

Inventor： Marcio Ferreira Moreno ,  Rafael Rossi de Mello Brandao ,  Guilherme Augusto Ferreira Lima

IPC: G06F16/732 ,  G06F16/9535 ,  G06F16/901 ,  G06V10/46 ,  G06F16/783 ,  G06V10/764 ,  G06F16/71 ,  G06V10/70 ,  G06F16/483

CPC classification number: G06V10/464 ,  G06F16/483 ,  G06F16/71 ,  G06F16/7328 ,  G06F16/783 ,  G06F16/9027 ,  G06F16/9535 ,  G06V10/70 ,  G06V10/764

Abstract: One or more processor can automatically identify, structure and retrieve spatial and/or temporal sequences of digital media content according to semantic specification. Digital media content can be received and information from digital media content can be extracted. Based on the information, a knowledge graph can be constructed or structured to include at least one of spatial and temporal representation of the digital media content. A search query can be received associated with the digital media content. Based on traversing the knowledge graph structure according to at least one of spatial and temporal criterion mapped from the search query, new digital media content can be composed which meets the search query.

公开(公告)号：US11875498B2

公开(公告)日：2024-01-16

申请号：US17735789

申请日：2022-05-03

Applicant: Airbnb, Inc.

Inventor： Bilguun Ulammandakh

IPC: G06N20/00 ,  G06F18/24 ,  G06T7/00 ,  G06Q30/0601 ,  G06V20/00 ,  G06F18/21 ,  G06V10/70

CPC classification number: G06T7/0002 ,  G06F18/21 ,  G06F18/24 ,  G06N20/00 ,  G06Q30/0627 ,  G06V20/00 ,  G06T2207/20084 ,  G06T2207/30168 ,  G06V10/70

Abstract: Systems and methods are provided for receiving a plurality of images corresponding to a listing in an online marketplace, generating a scene type for each image of the plurality of images, and grouping each image into a scene type group of a set of predefined scene types. Each group of images are input into a respective machine learning model specific to the scene type of the group of images to generate a visual score for each image in each group of images, and an attractiveness score is generated for the listing in the online marketplace based on the visual scores for each image in each group of images.

公开(公告)号：US20240015386A1

公开(公告)日：2024-01-11

申请号：US18348711

申请日：2023-07-07

Applicant: Sami Dalati ,  Kaicheng Zhang

Inventor： Sami Dalati ,  Kaicheng Zhang

IPC: H04N23/62 ,  H04N23/695 ,  H04N23/67 ,  G06V10/70 ,  G06V40/10 ,  H04N23/661 ,  G06V20/50

CPC classification number: H04N23/62 ,  H04N23/695 ,  H04N23/67 ,  G06V10/70 ,  G06V40/10 ,  H04N23/661 ,  G06V20/50

Abstract: Embodiments herein generally relate to a method and system for monitoring and tracking animals in an animal enclosure. In at least one embodiment, the method comprises monitoring for user activity in respect of a camera system associated with the animal enclosure; if user activity is detected: receiving a user-generated command to control the camera; and transmitting the user-generated command to the camera system, if user activity is not detected, controlling the camera system to search and track for one or more target animals in the animal enclosure.

公开(公告)号：US11868892B2

公开(公告)日：2024-01-09

申请号：US17887359

申请日：2022-08-12

Applicant: INTEL CORPORATION

Inventor： Furkan Isikdogan ,  Bhavin V. Nayak ,  Joao Peralta Moreira ,  Chyuan-Tyng Wu ,  Gilad Michael

IPC: G06N3/08 ,  G06V10/70 ,  G06V10/764 ,  G06N3/063 ,  G06F18/214 ,  G06N3/048 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06N3/08 ,  G06F18/214 ,  G06N3/048 ,  G06N3/063 ,  G06V10/70 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82

Abstract: An apparatus to facilitate partially-frozen neural networks for efficient computer vision systems is disclosed. The apparatus includes a frozen core to store fixed weights of a machine learning model, one or more trainable cores coupled to the frozen core, the one or more trainable cores comprising multipliers for trainable weights of the machine learning model, and wherein the alpha blending layer includes a trainable alpha blending parameter, and wherein the trainable alpha blending parameter is a function of a trainable parameter, a sigmoid function, and outputs of frozen and trainable blocks in a preceding layer of the machine learning model.

公开(公告)号：US20230401870A1

公开(公告)日：2023-12-14

申请号：US18455489

申请日：2023-08-24

Applicant: DENSO CORPORATION

Inventor： Hideaki MISAWA

IPC: G06V20/54 ,  G06V10/70 ,  B60W50/14 ,  B60W60/00

CPC classification number: G06V20/54 ,  G06V10/70 ,  B60W50/14 ,  B60W60/001 ,  B60W2050/146 ,  B60W2540/215 ,  B60W2556/10 ,  B60W2556/20 ,  B60W2556/45

Abstract: An autonomous driving system includes a recognition unit configured to recognize an obstacle based on image data obtained by imaging a predetermined region including a road on which an autonomous vehicle travels, the imaging being performed by an imaging device installed at a specific location in the external environment of the autonomous vehicle, a feature quantity distribution creation unit configured to create a feature quantity distribution expressing a distribution of features related to obstacles recognized in the past, and an erroneous recognition judgement unit configured to compare the created feature quantity distribution with a feature quantity of an obstacle recognized as an evaluation subject, to thereby judge whether the obstacle recognized as the evaluation subject is erroneously recognized.

公开(公告)号：US20230394611A1

公开(公告)日：2023-12-07

申请号：US18448147

申请日：2023-08-10

Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.

Inventor： Zehua SHAO ,  Haitang XIANG ,  Yong LI ,  Yaqiang QUAN ,  Bin LIU

IPC: G06Q50/26 ,  G06V10/70 ,  G06Q10/04 ,  H04L67/12

CPC classification number: G06Q50/26 ,  G06V10/70 ,  G06Q10/04 ,  H04L67/12

Abstract: The present disclosure provides a method and a system for area management in a smart city based on an Internet of Things. The method includes obtaining environmental monitoring data in a target area through a sensor network platform, the environmental monitoring data including at least one of air quality data, weather data, and satellite image data, predicting an air pollution situation in the target area through a regional prediction model based on the environmental monitoring data, the regional prediction model being a machine learning model, and sending prompt information, which is determined based on the air pollution situation in the target area, to a user platform through a service platform, wherein the target area is a hexagonal area; and the regional prediction model includes seven regional models and an air quality determination model; wherein a prediction mode of the regional prediction model is an iterative prediction.