公开(公告)号：US12106654B2

公开(公告)日：2024-10-01

申请号：US18177356

申请日：2023-03-02

Applicant: CareView Communications, Inc.

Inventor： Steven Gail Johnson ,  Derek del Carpio

IPC: G08B21/04 ,  G06T7/246 ,  G06V20/52 ,  G06V30/194 ,  G08B29/18

CPC classification number: G08B21/043 ,  G06T7/248 ,  G06V20/52 ,  G06V30/194 ,  G08B21/0476 ,  G08B29/186 ,  G06T2207/10016 ,  G06T2207/30196 ,  G06T2207/30232

Abstract: A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

公开(公告)号：US12103773B2

公开(公告)日：2024-10-01

申请号：US17138444

申请日：2020-12-30

Applicant: Gideon Brothers d.o.o.

Inventor： Josip Cesic ,  Tomislav Haus ,  Matija Zigic

IPC: B65G1/06 ,  B65G1/137 ,  B66F9/06 ,  G05B19/418 ,  G05D1/00 ,  G05D1/222 ,  G05D1/223 ,  G05D1/224 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/247 ,  G05D1/617 ,  G05D1/646 ,  G05D1/69 ,  G06F3/0486 ,  G06F18/21 ,  G06V20/10 ,  G06V20/64 ,  G06V30/194 ,  G06F3/04847

CPC classification number: B65G1/06 ,  B65G1/065 ,  B65G1/1375 ,  B66F9/063 ,  G05B19/41895 ,  G05D1/0044 ,  G05D1/0212 ,  G05D1/0214 ,  G05D1/0231 ,  G05D1/0291 ,  G05D1/0297 ,  G05D1/222 ,  G05D1/223 ,  G05D1/2244 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/247 ,  G05D1/617 ,  G05D1/646 ,  G05D1/69 ,  G06F3/0486 ,  G06F18/21 ,  G06V20/10 ,  G06V20/64 ,  G06V30/194 ,  B65G2203/0233 ,  B65G2203/041 ,  G06F3/04847

Abstract: A system and a method are disclosed where a robot operating using a first traversal protocol traverses autonomously along a first route that is defined by markers that are detectable by the robot, wherein the robot is configured to move only based on a presence and type of each marker when the robot is configured to operate based on the first traversal protocol. The robot detects, while traversing along the route, a triggering condition corresponding to a change in operation by the robot from the first traversal protocol to a second traversal protocol. Responsive to detecting the triggering condition, the robot is configured to operate in the second traversal protocol, wherein the robot, when configured to operate based on the second traversal protocol, determines a second route autonomously without regard to a presence of any of the markers.

公开(公告)号：US12056541B2

公开(公告)日：2024-08-06

申请号：US18316868

申请日：2023-05-12

Applicant: CAPITAL ONE SERVICES, LLC

Inventor： Austin Walters ,  Jeremy Goodsitt

IPC: G06K9/00 ,  G06F8/71 ,  G06F9/54 ,  G06F11/36 ,  G06F16/22 ,  G06F16/242 ,  G06F16/2455 ,  G06F16/248 ,  G06F16/25 ,  G06F16/28 ,  G06F16/335 ,  G06F16/903 ,  G06F16/9032 ,  G06F16/9038 ,  G06F16/906 ,  G06F16/93 ,  G06F17/15 ,  G06F17/16 ,  G06F17/18 ,  G06F18/20 ,  G06F18/21 ,  G06F18/2115 ,  G06F18/213 ,  G06F18/214 ,  G06F18/22 ,  G06F18/23 ,  G06F18/24 ,  G06F18/2411 ,  G06F18/2415 ,  G06F18/40 ,  G06F21/55 ,  G06F21/60 ,  G06F21/62 ,  G06F30/20 ,  G06F40/117 ,  G06F40/166 ,  G06F40/20 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/06 ,  G06N3/08 ,  G06N3/088 ,  G06N5/00 ,  G06N5/02 ,  G06N5/04 ,  G06N7/00 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06T7/194 ,  G06T7/246 ,  G06T7/254 ,  G06T11/00 ,  G06V10/70 ,  G06V10/98 ,  G06V30/194 ,  G06V30/196 ,  H04L9/40 ,  H04L67/00 ,  H04L67/306 ,  H04N21/234 ,  H04N21/81

CPC classification number: G06F9/541 ,  G06F8/71 ,  G06F9/54 ,  G06F9/547 ,  G06F11/3608 ,  G06F11/3628 ,  G06F11/3636 ,  G06F16/2237 ,  G06F16/2264 ,  G06F16/2423 ,  G06F16/24568 ,  G06F16/248 ,  G06F16/254 ,  G06F16/258 ,  G06F16/283 ,  G06F16/285 ,  G06F16/288 ,  G06F16/335 ,  G06F16/90332 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/906 ,  G06F16/93 ,  G06F17/15 ,  G06F17/16 ,  G06F17/18 ,  G06F18/2115 ,  G06F18/213 ,  G06F18/214 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/2193 ,  G06F18/22 ,  G06F18/23 ,  G06F18/24 ,  G06F18/2411 ,  G06F18/2415 ,  G06F18/285 ,  G06F18/40 ,  G06F21/552 ,  G06F21/60 ,  G06F21/6245 ,  G06F21/6254 ,  G06F30/20 ,  G06F40/117 ,  G06F40/166 ,  G06F40/20 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/06 ,  G06N3/08 ,  G06N3/088 ,  G06N5/00 ,  G06N5/02 ,  G06N5/04 ,  G06N7/00 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06T7/194 ,  G06T7/246 ,  G06T7/248 ,  G06T7/254 ,  G06T11/001 ,  G06V10/768 ,  G06V10/993 ,  G06V30/194 ,  G06V30/1985 ,  H04L63/1416 ,  H04L63/1491 ,  H04L67/306 ,  H04L67/34 ,  H04N21/23412 ,  H04N21/8153 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems and methods for generating synthetic video are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include generating a static background image and determining the location of a reference edge. The operations may include determining a perspective of an observation point. The operations may include generating synthetic difference images that include respective synthetic object movement edges. The operations may include determining a location of the respective synthetic object movement edge and generating adjusted difference images corresponding to the individual synthetic difference images. Adjusted difference images may be based on synthetic difference images, locations of the respective synthetic object movement edges, the perspective of the observation point, and the location of the reference edge. The operations may include generating texturized images based on the adjusted difference images.

公开(公告)号：US20240161491A1

公开(公告)日：2024-05-16

申请号：US18514522

申请日：2023-11-20

Applicant: BFLY OPERATIONS, INC.

Inventor： Matthew de Jonge ,  Robert Schneider ,  David Elgena ,  Alex Rothberg ,  Jonathan M. Rothberg ,  Michal Sofka ,  Tomer Gafner ,  Karl Thiele ,  Abraham Neben

IPC: G06V10/82 ,  A61B8/00 ,  A61B8/02 ,  A61B8/06 ,  A61B8/08 ,  G06F18/2413 ,  G06T7/00 ,  G06T7/70 ,  G06T11/60 ,  G06T19/00 ,  G06V10/44 ,  G06V30/19 ,  G06V30/194 ,  G06V40/60

CPC classification number: G06V10/82 ,  A61B8/02 ,  A61B8/06 ,  A61B8/065 ,  A61B8/085 ,  A61B8/4427 ,  A61B8/46 ,  A61B8/52 ,  A61B8/5207 ,  A61B8/5223 ,  G06F18/24133 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/70 ,  G06T11/60 ,  G06T19/006 ,  G06V10/454 ,  G06V30/19173 ,  G06V30/194 ,  G06V40/67 ,  A61B2090/3937

Abstract: A method includes: obtaining an ultrasound image of an anatomical area from an ultrasound imaging device; inputting the ultrasound image into a first stage of a convolutional neural network, the first stage configured to determine key-point locations of the anatomical area; generating, for each of the key-point locations, a cropped region of the ultrasound image; inputting each of the cropped regions into a second stage of the convolutional neural network, the second stage configured to locate an anatomical landmark of the anatomical area; and outputting a location of the anatomical landmark.

公开(公告)号：US11928859B2

公开(公告)日：2024-03-12

申请号：US17975268

申请日：2022-10-27

Applicant: BFLY OPERATIONS, INC.

Inventor： Daniel Nouri ,  Alex Rothberg ,  Matthew de Jonge ,  Jimmy Jia ,  Jonathan M. Rothberg ,  Michal Sofka ,  David Elgena ,  Mark Michalski ,  Tomer Gafner ,  Abraham Neben

IPC: A61B5/00 ,  A61B8/00 ,  A61B8/02 ,  A61B8/06 ,  A61B8/08 ,  G06F18/2413 ,  G06T7/00 ,  G06T7/70 ,  G06T11/60 ,  G06T19/00 ,  G06V10/44 ,  G06V10/82 ,  G06V30/19 ,  G06V30/194 ,  G06V40/60 ,  A61B34/20 ,  A61B90/00

CPC classification number: G06V10/82 ,  A61B8/02 ,  A61B8/06 ,  A61B8/065 ,  A61B8/085 ,  A61B8/4427 ,  A61B8/46 ,  A61B8/52 ,  A61B8/5207 ,  A61B8/5223 ,  G06F18/24133 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/70 ,  G06T11/60 ,  G06T19/006 ,  G06V10/454 ,  G06V30/19173 ,  G06V30/194 ,  G06V40/67 ,  A61B8/0833 ,  A61B8/0883 ,  A61B8/4263 ,  A61B8/463 ,  A61B8/5215 ,  A61B2034/2065 ,  A61B2090/365 ,  A61B2090/378 ,  A61B2090/3937 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30048 ,  G06T2207/30061 ,  G06T2210/41 ,  G06V2201/03

Abstract: Aspects of the technology described herein relate to techniques for guiding an operator to use an ultrasound device. Thereby, operators with little or no experience operating ultrasound devices may capture medically relevant ultrasound images and/or interpret the contents of the obtained ultrasound images. For example, some of the techniques disclosed herein may be used to identify a particular anatomical view of a subject to image with an ultrasound device, guide an operator of the ultrasound device to capture an ultrasound image of the subject that contains the particular anatomical view, and/or analyze the captured ultrasound image to identify medical information about the subject.

公开(公告)号：US11925331B2

公开(公告)日：2024-03-12

申请号：US17352864

申请日：2021-06-21

Applicant: Charles T. Gonsowski

Inventor： Charles T. Gonsowski

IPC: A61B5/05 ,  A61B1/00 ,  A61B1/267 ,  A61B5/00 ,  G06N3/00 ,  G06N3/02 ,  G06N3/08 ,  G06N3/088 ,  G06N20/00 ,  G06T7/00 ,  G06V10/40 ,  G06V10/75 ,  G06V30/194 ,  G16H10/60 ,  G16H50/20

CPC classification number: A61B1/2673 ,  A61B1/00013 ,  A61B1/00016 ,  A61B1/267 ,  A61B5/4842 ,  A61B5/7246 ,  A61B5/7267 ,  G06N3/00 ,  G06N3/02 ,  G06N3/08 ,  G06N3/088 ,  G06N20/00 ,  G06T7/0012 ,  G06V10/40 ,  G06V10/75 ,  G06V30/194 ,  G16H10/60 ,  G16H50/20 ,  G06F2218/00 ,  G06F2218/12

Abstract: A system and method for a laryngoscopic device which incorporates the electronic and imaging elements within the device with advanced functional iterations that incorporate mathematical pattern recognition/predictive modeling as well as parallel computing and supercomputing for data analysis as well as and integrating it with the patient's record and compiling images from multiple scopes in a cloud-based system for an AI platform to use in diagnosis and disease monitoring.

公开(公告)号：US11915520B2

公开(公告)日：2024-02-27

申请号：US17902349

申请日：2022-09-02

Applicant: Adobe Inc.

Inventor： Saeid Motiian ,  Zhe Lin ,  Shabnam Ghadar ,  Baldo Faieta

IPC: G06V40/16 ,  G06V30/194 ,  G06V40/10 ,  G06F18/00 ,  G06F18/20

CPC classification number: G06V40/172 ,  G06F18/00 ,  G06F18/29 ,  G06V30/194 ,  G06V40/10

Abstract: Embodiments are disclosed for finding similar persons in images. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an image query, the image query including an input image that includes a representation of a person, generating a first cropped image including a representation of the person's face and a second cropped image including a representation of the person's body, generating an image embedding for the input image by combining a face embedding corresponding to the first cropped image and a body embedding corresponding to the second cropped image, and querying an image repository in embedding space by comparing the image embedding to a plurality of image embeddings associated with a plurality of images in the image repository to obtain one or more images based on similarity to the input image in the embedding space.

公开(公告)号：US11886542B2

公开(公告)日：2024-01-30

申请号：US17325877

申请日：2021-05-20

Applicant: Apple Inc.

Inventor： Jerome R. Bellegarda

IPC: G06F18/214 ,  G06V30/194 ,  G06F18/22 ,  G06N3/045

CPC classification number: G06F18/2148 ,  G06F18/22 ,  G06N3/045 ,  G06V30/194

Abstract: Systems and processes for prediction using generative adversarial network and distillation technology are provided. For example, an input is received at a first portion of a language model. A first output distribution is obtained, based on the input, from the first portion of the language model. Using a first training model, the language model is adjusted based on the first output distribution. The first output distribution is received at a second portion of the language model. A first representation of the input is obtained, based on the first output distribution, from the second portion of the language model. The language model is adjusted, using a second training model, based on the first representation of the input. Using the adjusted language model, an output is provided based on a received user input.

公开(公告)号：US11866258B2

公开(公告)日：2024-01-09

申请号：US17138435

申请日：2020-12-30

Applicant: Gideon Brothers d.o.o.

Inventor： Josip Cesic ,  Tomislav Haus ,  Kruno Lenac

IPC: G06F3/0486 ,  B65G1/06 ,  B66F9/06 ,  G05D1/02 ,  G05D1/00 ,  B65G1/137 ,  G06V20/10 ,  G06V30/194 ,  G06V20/64 ,  G06F18/21 ,  G05B19/418 ,  G06F3/04847

CPC classification number: B65G1/06 ,  B65G1/1375 ,  B66F9/063 ,  G05B19/41895 ,  G05D1/0044 ,  G05D1/0212 ,  G05D1/0214 ,  G05D1/0231 ,  G05D1/0297 ,  G06F3/0486 ,  G06F18/21 ,  G06V20/10 ,  G06V20/64 ,  G06V30/194 ,  B65G2203/0233 ,  B65G2203/041 ,  G05D2201/0216 ,  G06F3/04847

Abstract: A system and a method are disclosed that generate for display to a remote operator a user interface comprising a map, the map comprising visual representations of a source area, a plurality of candidate robots, and a plurality of candidate destination areas. The system receives, via the user interface, a selection of a visual representation of a candidate robot of the plurality of candidate robots, and detects a drag-and-drop gesture within the user interface of the visual representation of the candidate robot being dragged-and-dropped to a visual representation of a candidate destination area of the plurality of candidate destination areas. Responsive to detecting the drag-and-drop gesture, the system generates a mission, where the mission causes the candidate robot to autonomously transport an object from the source area to the candidate destination area.

公开(公告)号：US20230386243A1

公开(公告)日：2023-11-30

申请号：US18232215

申请日：2023-08-09

Applicant: NEC Corporation

Inventor： Hiroo Ikeda

IPC: G06V40/10 ,  G06V30/194

CPC classification number: G06V40/10 ,  G06V30/194

Abstract: An information processing apparatus (2000) includes a recognizer (2020). An image (10) is input to the recognizer (2020). The recognizer (2020) outputs, for a crowd included in the input image (10), a label (30) describing a type of the crowd and structure information (40) describing a structure of the crowd. The structure information (40) indicates a location and a direction of an object included in the crowd. The information processing apparatus (2000) acquires training data (50) which includes a training image (52), a training label (54), and training structure information (56). The information processing apparatus (2000) performs training of the recognizer (2020) using the label (30) and the structure information (40), which are acquired by inputting the training image (52) with respect to the recognizer (2020, and the training label (54) and the training structure information (56).