公开(公告)号：US20240294117A1

公开(公告)日：2024-09-05

申请号：US18434096

申请日：2024-02-06

Applicant: CANON KABUSHIKI KAISHA

Inventor： YOSHIYUKI AKIMOTO

IPC: B60R1/26 ,  B60R11/00 ,  B60R11/04 ,  G06V20/58

CPC classification number: B60R1/26 ,  B60R11/04 ,  G06V20/58 ,  B60R2011/004 ,  B60R2300/301 ,  B60R2300/802 ,  B60R2300/8033 ,  B60R2300/8093 ,  G06V2201/07

Abstract: An image pickup system includes an imaging unit provided to a gate unit, a gate descent detector configured to detect descent of the gate unit, an image clipper configured to clip a part of an image captured by the imaging unit, a memory configured to store an image clipped by the image clipper, and a driving start detector configured to detect driving start. The memory stores an image of an underfloor of a vehicle of a user clipped by the image clipper in a case where the gate descent detector detects the descent of the gate unit. The image clipper outputs the image of the underfloor of the vehicle stored in the memory in a case where the driving start detector detects the driving start.

公开(公告)号：US12080070B2

公开(公告)日：2024-09-03

申请号：US18372831

申请日：2023-09-26

Applicant: RF Code, Inc.

Inventor： Jonathan Andrew Guy

IPC: G06V20/52 ,  G06T7/194 ,  G06T7/70 ,  G06T7/90 ,  G06V10/60 ,  G06V30/18

CPC classification number: G06V20/52 ,  G06T7/194 ,  G06T7/70 ,  G06T7/90 ,  G06V10/60 ,  G06V30/18 ,  G06V30/18105 ,  G06T2207/10048 ,  G06V2201/07

Abstract: Systems, methods, and devices are described for monitoring and protecting electronic hardware, data assets, and the facility itself, particularly well-suited to monitoring remote facilities and resources in edge locations, including for determining door state for both equipment and personnel doors, and for determining values of one or more environmental parameters, using optical image analytics. An example system includes one or more edge-located hardware monitoring devices having one or more physical sensors, and custom software distributed across edge, cloud, mobile, and enterprise platforms. An example monitoring device can include an embedded computer, various sensors of different types, one or more cameras, a power supply, and several communication interfaces. All or virtually all sensing and processing capabilities can be integrated into the edge device, which utilizes low-cost sensors and video analytics to monitor the environment.

公开(公告)号：US20240289077A1

公开(公告)日：2024-08-29

申请号：US18573483

申请日：2021-07-01

Applicant: MAXELL, LTD.

Inventor： Hitoshi AKIYAMA ,  Nobukazu KONDO ,  Yoshinori OKADA

IPC: G06F3/14 ,  G06F3/01 ,  G06T5/50 ,  G06V10/24

CPC classification number: G06F3/14 ,  G06F3/012 ,  G06F3/013 ,  G06T5/50 ,  G06V10/24 ,  G06T2207/20221 ,  G06V2201/07

Abstract: An information processing device comprises: a camera; a display screen for displaying a captured image; a line-of-sight sensor configured to detect a line of sight of a user and output line-of-sight information; a communication unit configured to provide communication with an image display device that is separate from the information processing device; and a processor, wherein the processor is configured to: determine whether a line-of-sight destination of the user is in the display screen based on the line-of-sight information while the camera is capturing an image; upon determining that the line-of-sight destination of the user is not in the display screen, transfer the captured image being displayed on the display screen to the image display device via the communication unit; and transmit, to the image display device, a display start signal for causing the image display device to display the captured image as transferred.

公开(公告)号：US12075022B2

公开(公告)日：2024-08-27

申请号：US17757083

申请日：2020-11-02

Applicant: SONY GROUP CORPORATION

Inventor： Tsutomu Ichinose

IPC: H04N13/366 ,  G06V10/143 ,  G06V10/74 ,  G06V40/16 ,  G06V40/18

CPC classification number: H04N13/366 ,  G06V10/143 ,  G06V10/761 ,  G06V40/171 ,  G06V40/193 ,  G06T2207/10048 ,  G06V2201/07

Abstract: An image processing device includes: a light emitting unit that emits a near-infrared ray to a target; a light emission controlling unit that controls a light emission amount of the light emitting unit on a basis of a distance value between the target and the light emitting unit; and a detecting unit that detects a feature point on the basis of a captured image of the target irradiated with the near-infrared ray.

公开(公告)号：US12069372B2

公开(公告)日：2024-08-20

申请号：US17455748

申请日：2021-11-19

Applicant: AUTEL ROBOTICS CO., LTD.

Inventor： Yinhua Feng

IPC: H04N23/695 ,  G03B15/00 ,  G03B17/56 ,  G06T7/70 ,  G06T7/80 ,  G06V10/22 ,  H04N7/18 ,  H04N23/66

CPC classification number: H04N23/695 ,  G03B15/006 ,  G03B17/561 ,  G06T7/70 ,  G06T7/80 ,  G06V10/235 ,  H04N7/183 ,  H04N23/66 ,  G06T2207/10032 ,  G06T2207/20101 ,  G06V2201/07

Abstract: Embodiments of the disclosure relate to the technical field of gimbal control, and disclose a gimbal control method and apparatus, a control terminal and an aircraft system. The gimbal control method is applicable to a control terminal. A gimbal carries a photographing device. The method includes: acquiring photographing parameter information of the photographing device, where the photographing parameter information includes a field of view of the photographing device and a resolution of a captured image of the photographing device; acquiring image coordinates of a target object in the captured image that is selected by a user; and controlling an attitude of the gimbal according to the photographing parameter information and the image coordinates of the target object, so that the target object is at a preset position in the captured image.

公开(公告)号：US12067755B1

公开(公告)日：2024-08-20

申请号：US18320617

申请日：2023-05-19

Applicant: Verkada Inc.

Inventor： Hao Nan ,  Thantham Madan ,  Yunchao Gong ,  Yi Xu ,  Yingjie Shen ,  Shiqi Wang ,  Rishabh Goyal

IPC: G06V10/25 ,  G06F3/04842 ,  G06F3/14 ,  G06T5/20 ,  G06V20/40

CPC classification number: G06V10/25 ,  G06F3/04842 ,  G06F3/14 ,  G06T5/20 ,  G06V20/44 ,  G06T2207/30242 ,  G06V2201/07

Abstract: A method for performing detection-based object searches includes receiving a user request indicating a region of interest, a timeframe of interest, or an object of interest. A signal is sent to cause execution of a query to identify object detections based on the user request. A signal representing at least one event identified in response to the query is received. For each event from the at least one event, a thumbnail image is identified based on the user request and using a ranking algorithm. A video frame identified based on the thumbnail image is received, and a video segment associated with the video frame is retrieved, A preview image clip that includes the video frame and the video segment is generated and displayed to a user associated with the user request.

公开(公告)号：US12067720B2

公开(公告)日：2024-08-20

申请号：US17718747

申请日：2022-04-12

Applicant: Ventana Medical Systems, Inc. ,  HOFFMANN-LA ROCHE INC.

Inventor： Joerg Bredno ,  Astrid Heller ,  Gabriele Hoelzlwimmer

IPC: G06K9/00 ,  G06F18/211 ,  G06T7/00 ,  G06T7/11 ,  G06V20/69 ,  G02B21/36 ,  G06F3/0354

CPC classification number: G06T7/0012 ,  G06F18/211 ,  G06T7/0014 ,  G06T7/11 ,  G06V20/69 ,  G06V20/695 ,  G02B21/365 ,  G06F3/03545 ,  G06T2200/24 ,  G06T2207/10056 ,  G06T2207/20012 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06T2207/30204 ,  G06V2201/031 ,  G06V2201/07

Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.

公开(公告)号：US20240273909A1

公开(公告)日：2024-08-15

申请号：US18645892

申请日：2024-04-25

Applicant: VIVO MOBILE COMMUNICATION CO., LTD.

Inventor： Mingzheng LI

IPC: G06V20/52 ,  G06N3/045 ,  H04N23/63 ,  H04N23/71 ,  H04N23/73

CPC classification number: G06V20/52 ,  G06N3/045 ,  H04N23/63 ,  H04N23/71 ,  G06V2201/07 ,  H04N23/73

Abstract: This application provides a camera shooting parameter adjustment method and apparatus, and an electronic device. The method includes: acquiring image feature information of a shot image, and performing salient object detection on the shot image based on the image feature information to obtain a salient object detection result; and adjusting a camera shooting parameter based on the image feature information and the salient object detection result.

公开(公告)号：US20240273855A1

公开(公告)日：2024-08-15

申请号：US18636913

申请日：2024-04-16

Applicant: HANWHA VISION CO., LTD.

Inventor： Dae Bong KIM ,  Dong Jin PARK

IPC: G06V10/30 ,  G06T7/20 ,  G06V10/25 ,  G06V10/60 ,  G06V10/764 ,  G06V20/70

CPC classification number: G06V10/30 ,  G06T7/20 ,  G06V10/25 ,  G06V10/60 ,  G06V10/764 ,  G06V20/70 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/07

Abstract: An image noise learning server includes an image input interface configured to receive training images, and at least one processor configured to control an image extractor to extract, from the training images, a first image including a stationary object and a second image including a moving object, a noise filter to obtain a third image by applying noise filtering with a first intensity to the second image, the third image including the moving object, a labeling unit to determine an intensity of a side effect based on a difference between the stationary object included in the first image and the moving object included in the third image, and a machine learning unit to receive, as a label, the determined intensity of the side effect and image attributes of the training images, and obtain artificial intelligence (AI) parameters by performing machine learning on the second image based on the received label.

公开(公告)号：US20240273746A1

公开(公告)日：2024-08-15

申请号：US18164754

申请日：2023-02-06

Applicant: INUITIVE LTD.

Inventor： Ady ECKER

IPC: G06T7/593 ,  G06T5/00 ,  G06V10/74 ,  G06V10/75 ,  H04N13/106

CPC classification number: G06T7/593 ,  G06T5/77 ,  G06V10/751 ,  G06V10/761 ,  H04N13/106 ,  G06T2207/20036 ,  G06V2201/07

Abstract: A method for use in a stereoscopic image generating system, wherein the image generating system comprises a hardware module associated with at least one pair of image capturing devices, at least one memory means and at least one processor, wherein information retrieved from the capturing devices is processed by the at least one processor, which is configured to implement a hardware module stereo algorithm for identifying objects included in the captured scene at a distance that is equal to or greater than a minimal distance defined by the geometry and disparity range of said hardware module, and wherein the at least one processor is further configured to implement a software stereo algorithm adapted to identify objects included in the captured scene at a distance that is less than the minimal distance required for detecting objects by the hardware module stereo algorithm.