公开(公告)号：US20240291941A1

公开(公告)日：2024-08-29

申请号：US18535019

申请日：2023-12-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Juyeon LEE ,  Hyunjoo KANG ,  Hyojin KIM ,  Yeeun CHOI ,  Hoon HAN ,  Jiwoong HWANG

IPC: H04N5/74 ,  G06T7/62 ,  G06V10/141

CPC classification number: H04N5/74 ,  G06T7/62 ,  G06V10/141 ,  G06V2201/07

Abstract: In an electronic device according to an embodiment, the electronic device may include: an actuator configured to move the electronic device, a sensor, a projection assembly including light emitting circuitry, at least one processor, and a memory storing instructions. the instructions, when executed by one or more of the at least one processor, cause the electronic device to, in response to an input for playing a media content stored in the memory, identify an external object included in the media content. the instructions, when executed by one or more of the at least one processor, cause the electronic device to, in a first state in which an external object adjacent to the electronic device is identified, emit a light representing the media content, facing a direction adjacent to the external object, by controlling the projection assembly, based on data of the sensor. The present disclosure relates to a metaverse service for enhancing interconnectivity between a real object and a virtual object. For example, the metaverse service may be provided through a network based on fifth generation (5G) and/or sixth generation (6G).

公开(公告)号：US20240289964A1

公开(公告)日：2024-08-29

申请号：US18653393

申请日：2024-05-02

Applicant: Zoox, Inc.

Inventor： Stanley Lilian Volta ,  Allan Zelener

IPC: G06T7/181 ,  G06T7/13 ,  G06T7/70 ,  G06V10/25 ,  G06V10/26 ,  G06V10/44 ,  G06V20/56

CPC classification number: G06T7/181 ,  G06T7/13 ,  G06T7/70 ,  G06V10/25 ,  G06V10/26 ,  G06V10/457 ,  G06V20/56 ,  G06T2207/30252 ,  G06T2210/12 ,  G06V2201/07

Abstract: Techniques for determining detection boxes representing objects in an environment using pixel clustering are disclosed herein. Autonomous vehicle sensors can capture data in an environment that may include separate objects, such as large and/or articulated vehicles. In an example, the data can include a plurality of pixels that are associated with a large object. A vehicle computing system can generate a detection box for each pixel of the plurality of pixels and can determine at least one averaged detection box representing the large object. In an example, the vehicle computing system can control the vehicle based in part on the at least one averaged detection boxes.

公开(公告)号：US20240287766A1

公开(公告)日：2024-08-29

申请号：US18655572

申请日：2024-05-06

Applicant: The Charles Machine Works, Inc.

Inventor： Víctor D. Cámara Puerto ,  Benjamin Ryan Travers ,  Dustin L. Blessum ,  Dylan J. Cook

IPC: E02F9/26 ,  G05D1/646 ,  G05D105/05 ,  G05D111/10 ,  G06V10/48 ,  G06V20/56

CPC classification number: E02F9/262 ,  G05D1/646 ,  G06V10/48 ,  G06V20/56 ,  G05D2105/05 ,  G05D2111/10 ,  G06V2201/07

Abstract: A guidance system for remotely guiding a work machine along a virtual path. The system uses a vision system to capture image data representative of areas surrounding the work machine. The image data is used to produce a spatial map. Analysis of image data allows the work machine's then-current position to be represented on the spatial map. A virtual path extending from the work machine's position is next added to the spatial map. The virtual path may be generated in response to external input provided at the display showing an image of the spatial map. Using continuously-updated image data, the work machine is driven toward the virtual path. During operation, the actual path of the work machine is compared to the virtual path. If any deviation between the paths is detected, the trajectory of the work machine is automatically adjusted.

公开(公告)号：US20240285099A1

公开(公告)日：2024-08-29

申请号：US18173900

申请日：2023-02-24

Applicant: TOSHIBA GLOBAL COMMERCE SOLUTIONS, INC.

Inventor： JAMES L. FRANK ,  CHARLES RAY KIRK ,  JAMES WACHO SLAUGHTER ,  JUDITH L. ATALLAH ,  SRIJA GANGULY

IPC: A47F9/04 ,  G06V20/52

CPC classification number: A47F9/048 ,  G06V20/52 ,  G06V2201/07

Abstract: A point-of-sale system is provided and includes a first checkout station and associated first edge cameras. The first cameras have a primary viewing area within the first checkout station and a peripheral viewing area outside the first checkout station. The system includes a second checkout station near the first checkout station and associated second edge cameras. The second cameras have a primary viewing area within the second checkout station and a peripheral viewing area outside the second checkout station. The peripheral viewing area of one second camera is within the first checkout station. The system further includes a vision mesh network having nodes in communication with each other. Some of the first and second cameras are nodes on the vision mesh network. A first edge camera receives and processes information about the first checkout station from the at least one second camera. A method is also provided.

公开(公告)号：US20240282095A1

公开(公告)日：2024-08-22

申请号：US18647004

申请日：2024-04-26

Applicant: CANON KABUSHIKI KAISHA

Inventor： Masato Aoba ,  Koichi Magai

IPC: G06V10/82 ,  G06F18/2115 ,  G06F18/2411 ,  G06F18/2413 ,  G06F18/2431 ,  G06T7/11 ,  G06T7/12 ,  G06V10/764 ,  G06V30/19 ,  G06V30/194

CPC classification number: G06V10/82 ,  G06F18/2115 ,  G06F18/2411 ,  G06F18/2414 ,  G06F18/2431 ,  G06T7/11 ,  G06T7/12 ,  G06V10/764 ,  G06V30/19173 ,  G06V30/194 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06V2201/07

Abstract: There is provided with an image processing apparatus, for example, for image recognition. An extraction unit extracts a feature amount from a target image. An estimation unit estimates distribution of regions having attributes different from each other in the target image based on the feature amount.

公开(公告)号：US20240282075A1

公开(公告)日：2024-08-22

申请号：US18432174

申请日：2024-02-05

Applicant: Nokia Technologies Oy

Inventor： Howard HUANG ,  Zoran RADIVOJEVIC

IPC: G06V10/44 ,  G06F21/30

CPC classification number: G06V10/443 ,  G06F21/30 ,  G06V2201/07

Abstract: An approach is provided for spatial-temporal authentication. The approach involves, for example, receiving first image data captured by a first camera device and depicting an object positioned at a location, and second image data captured by a second camera device depicting the object and captured within a time threshold of the first image data. The approach also involves processing the first image data to extract one or more first object features and the second image data to extract one or more second object features. The approach further involves determining a match between the one or more first object features and the one or more second object features. The approach further involves providing an authentication output indicating that the first camera device and the second camera device are or were at the location of the object within the time threshold.

公开(公告)号：US20240282072A1

公开(公告)日：2024-08-22

申请号：US18581444

申请日：2024-02-20

Applicant: 42DOT INC.

Inventor： Myoung Hoon CHO

IPC: G06V10/25 ,  G06V20/56

CPC classification number: G06V10/25 ,  G06V20/56 ,  G06V2201/07

Abstract: A method of generating an improved training data video includes recognizing an object included in a first image by applying at least two recognition techniques to the first image acquired during driving, applying at least two detection techniques to a result of recognizing the object and detecting a frame by each of the applied detection techniques, generating a frame set including a plurality of frames by integrating the detected frames, and generating a second image by sampling the integrated frame set.

公开(公告)号：US20240282006A1

公开(公告)日：2024-08-22

申请号：US18637679

申请日：2024-04-17

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Haichuan WANG ,  Ji JIAO

IPC: G06T7/80 ,  G06T7/70 ,  G06V10/24 ,  G06V10/44 ,  G06V10/75 ,  G06V20/58

CPC classification number: G06T7/80 ,  G06T7/70 ,  G06V10/24 ,  G06V10/44 ,  G06V10/751 ,  G06V20/58 ,  G06V2201/07

Abstract: A method for calibrating cameras and an inertial measurement unit (IMU) includes: obtaining image sequences acquired by the cameras; matching feature points of different images in the image sequences, to obtain matched feature points; selecting target feature points from the matched feature points; converting the target feature points into three-dimensional points, and determining poses of the cameras based on the three-dimensional points and pixel points of the images in the image sequences that correspond to the three-dimensional points; and optimizing parameters between an IMU and the cameras according to the poses of the cameras and a pose of the IMU.

公开(公告)号：US20240281989A1

公开(公告)日：2024-08-22

申请号：US18291774

申请日：2022-07-29

Applicant: Adam Kafka

Inventor： Adam Kafka

IPC: G06T7/50 ,  G06T5/73 ,  G06T5/77 ,  G06T7/11 ,  G06T7/13 ,  G06V10/56

CPC classification number: G06T7/50 ,  G06T5/73 ,  G06T5/77 ,  G06T7/11 ,  G06T7/13 ,  G06V10/56 ,  G06V2201/07

Abstract: There is disclosed herein systems and methods of image processing including obtaining an original image (OI): generating an image depth map (IDM): converting the IDM to greyscale colouring: sharpening resolution of the ID.M: posterizing the IDM where to a number of levels wherein the number is a final layer count (FLC): splitting the IDM based on the FLC: clipping the OI into a plurality of clips based on the split ID.M: producing an infill/outfill between adjacent ones of the clips based on preceding clips in a production order: determining a number of retained pixels: printing each of the clips on a medium: assembling the clips in an order. Also disclosed herein are products produced according to the method disclosed herein and systems for conducting methods as disclosed herein.

公开(公告)号：US20240265565A1

公开(公告)日：2024-08-08

申请号：US18165152

申请日：2023-02-06

Applicant: Walmart Apollo, LLC

Inventor： Han Zhang ,  Yilun Chen ,  Lingfeng Zhang ,  Adam Cantor ,  Avinash M. Jade ,  Benjamin R. Ellison ,  William Craig Robinson, JR. ,  Mingquan Yuan ,  Zhaoliang Duan ,  Wei Wang

IPC: G06T7/70 ,  G06T7/50 ,  G06V10/25 ,  G06V10/762

CPC classification number: G06T7/70 ,  G06T7/50 ,  G06V10/25 ,  G06V10/762 ,  G06V2201/07

Abstract: In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects at a product storage facility including a trained machine learning model stored in a memory; and a control circuit. The control circuit may obtain an image at the product storage facility; cluster objects depicted in the image that have same product identifiers into a corresponding group; determine coordinates of each bounding box of each clustered object in the corresponding group; determine a bounding box representative depth value of pixels inside the bounding box of each clustered object; determine an overall representative depth value of the corresponding group based on bounding box representative depth values of clustered objects; and exclude the clustered objects from identified objects in the image upon a determination that the overall representative depth value is greater than a threshold.