公开(公告)号：US12086178B2

公开(公告)日：2024-09-10

申请号：US18625612

申请日：2024-04-03

申请人： Brian McCarson

发明人： Brian McCarson

IPC分类号： G06F16/587 ,  G06F16/907 ,  G06F18/20 ,  G06F18/2133 ,  G06F18/2415 ,  G06N3/08 ,  G06N7/01 ,  G06V10/764 ,  G06V10/84 ,  G06V20/10 ,  G06V20/13 ,  G08G1/01 ,  G08G3/00 ,  G08G5/00

CPC分类号： G06F16/587 ,  G06F16/907 ,  G06F18/2133 ,  G06F18/24155 ,  G06F18/29 ,  G06N3/08 ,  G06N7/01 ,  G06V10/764 ,  G06V10/84 ,  G06V20/13 ,  G06V20/188 ,  G08G1/0133 ,  G08G3/00 ,  G08G5/0004

摘要： Generative AI systems and methods are provided to provide recommendations as to whether a particular security associated with a corporate entity and/or its competitors should be purchased, sold, or held, as determined from a range of available data sources. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode. Users may then subscribe to the date for the use in economic forecasting.

公开(公告)号：US20240296673A1

公开(公告)日：2024-09-05

申请号：US18661619

申请日：2024-05-11

申请人： The Travelers Indemnity Company

发明人： Michael W. Koppang ,  John P. Machnicki ,  Robert J. Kreuzer ,  Jeffrey J. Lamo ,  Catherine A. Leek

IPC分类号： G06V20/10 ,  G01V1/30 ,  G06F30/00 ,  G06V10/94 ,  G06V20/20

CPC分类号： G06V20/176 ,  G01V1/303 ,  G06F30/00 ,  G06V10/94 ,  G06V20/20

摘要： Systems, methods, and articles of manufacture provide for vibration analysis and monitoring, such as utilizing geo-referenced data to compute a plurality of sensor locations, facilitate sensor placement, identify a plurality of entities that may experience a planned vibration event, document historic or baseline damage, monitor and/or manage vibrations as they occur on site, and/or process vibration activity-related insurance claims.

公开(公告)号：US20240296452A1

公开(公告)日：2024-09-05

申请号：US18657912

申请日：2024-05-08

申请人： Capital One Services, LLC

发明人： Austin WALTERS ,  Fardin ABDI TAGHI ABAD ,  Jeremy GOODSITT

IPC分类号： G06Q20/40 ,  G06Q20/32 ,  G06Q20/36 ,  G06V20/10

CPC分类号： G06Q20/4015 ,  G06Q20/36 ,  G06V20/10 ,  G06Q20/3224

摘要： Disclosed are methods, systems, and non-transitory computer-readable medium for authentication of remote transactions. For instance, the method may include receiving a request for an interaction, obtaining data relating to an authentication item, and determining the location of a user device used by the user to initiate the interaction. The method may further include transmitting, to the user device, authentication data configured to cause a camera device to generate a response including the location of the camera device, receiving the response, authenticating the camera device as being associated with the user, and receiving one or more images of the authentication item captured by the camera device. The method may additionally include verifying that the user is in possession of the authentication item based on an analysis of the one or more images being received from the camera device and approving the interaction.

公开(公告)号：US12080064B1

公开(公告)日：2024-09-03

申请号：US18586401

申请日：2024-02-23

申请人： Tartan Aerial Sense Tech Private Limited

发明人： Gunasekaran Srinivasan ,  Dhivakar Kanagaraj ,  Pranav M P ,  Raghul Raghu ,  Prakash Mathews Pothen ,  S Prajwal

IPC分类号： G06V20/00 ,  G06T3/4015 ,  G06V10/25 ,  G06V10/82 ,  G06V20/10 ,  H04N9/73 ,  H05K1/18

CPC分类号： G06V20/188 ,  G06T3/4015 ,  G06V10/25 ,  G06V10/82 ,  H04N9/73 ,  H05K1/181 ,  G06V2201/07 ,  H05K2201/10121 ,  H05K2201/10151 ,  H05K2201/10159

摘要： A camera apparatus including a central processing unit configured to capture raw image sensor data of a field-of-view of an agricultural field, concurrently execute a plurality of different image transformation operations in a single pass on the captured raw image sensor data to obtain a processed image output, based on an one-time read of pixel values of the captured raw image sensor data and push the processed image output in a shared memory accessible to a plurality of application nodes in the camera apparatus. The camera apparatus includes a graphical processing unit configured to execute a first neural network model on the processed image output to detect one or more foliage regions in the processed image output and concomitantly execute a second neural network model on the processed image output to detect one or more crop plants in the processed image output.

公开(公告)号：US12080063B2

公开(公告)日：2024-09-03

申请号：US18418327

申请日：2024-01-21

申请人： Hangzhou Ruisheng Software Co., Ltd.

发明人： Qingsong Xu ,  Qing Li

IPC分类号： G06K9/00 ,  G06F16/532 ,  G06T7/00 ,  G06T7/73 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10

CPC分类号： G06V20/188 ,  G06F16/532 ,  G06T7/0014 ,  G06T7/74 ,  G06V10/776 ,  G06V10/82 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06T2207/30188 ,  G06T2207/30204

摘要： The present invention provides a display method, a display system, and a readable storage medium for plant disease diagnosis information. The method comprises: acquiring a plant image; using a disease location detection model to recognize and process the plant image, so as to determine whether the plant image has a suspected disease area; if a result recognized by the disease location detection model indicates that there is at least one suspected disease area, marking and displaying the suspected disease area according to a first preset mode; using a disease diagnosis model to recognize and process the plant image, so as to acquire species information and determine whether the plant image has a suspected disease; and if a result recognized by the disease diagnosis model indicates that there is at least one suspected disease, performing information display regarding the suspected disease according to a second preset mode.

公开(公告)号：US12079713B2

公开(公告)日：2024-09-03

申请号：US18142997

申请日：2023-05-03

申请人： Intel Corporation

发明人： Anbang Yao ,  Hao Zhao ,  Ming Lu ,  Yiwen Guo ,  Yurong Chen

IPC分类号： G06V10/82 ,  G06F18/214 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08 ,  G06V10/44 ,  G06V10/764 ,  G06V10/94 ,  G06V20/10 ,  G06V20/40 ,  G06V20/70

CPC分类号： G06N3/063 ,  G06F18/214 ,  G06N3/04 ,  G06N3/08 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V10/955 ,  G06V20/10 ,  G06V20/41 ,  G06V20/70

摘要： Methods and apparatus for discrimitive semantic transfer and physics-inspired optimization in deep learning are disclosed. A computation training method for a convolutional neural network (CNN) includes receiving a sequence of training images in the CNN of a first stage to describe objects of a cluttered scene as a semantic segmentation mask. The semantic segmentation mask is received in a semantic segmentation network of a second stage to produce semantic features. Using weights from the first stage as feature extractors and weights from the second stage as classifiers, edges of the cluttered scene are identified using the semantic features.

公开(公告)号：US12078998B2

公开(公告)日：2024-09-03

申请号：US18179135

申请日：2023-03-06

申请人： SAMSUNG ELECTRONICS CO., LTD.

发明人： Dongnam Byun ,  Hyewon Kim ,  Haedong Yeo

IPC分类号： G05D1/00 ,  G06F18/22 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/58

CPC分类号： G05D1/0221 ,  G05D1/0088 ,  G05D1/0238 ,  G05D1/0274 ,  G06F18/22 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/58

摘要： Provided is an electronic apparatus, including: a sensor; a camera; a storage configured to store first and second artificial intelligence models; a first processor; and a second processor. The second processor is configured to: input an image obtained through the camera to the first artificial intelligence model and identify the object of the first type in the image, and input the image obtained through the camera to the second artificial intelligence model and identify the object of the second type, at least a part of which is not viewable in the image. The first processor is configured to: determine a distance between the object of the first type and the object of the second type based on sensing data received from the sensor; and control the electronic apparatus to travel based on the determined distance.

公开(公告)号：US12075768B2

公开(公告)日：2024-09-03

申请号：US16628987

申请日：2018-07-02

申请人： Discovery Purchaser Corporation

发明人： Johan Kijlstra ,  Jerry Outram ,  James Hadlow

IPC分类号： A01M21/04 ,  A01M7/00 ,  E01H11/00 ,  G05B15/02 ,  G06F18/24 ,  G06T7/00 ,  G06T7/70 ,  G06V20/10 ,  G06V20/56 ,  H04N23/54

CPC分类号： A01M21/043 ,  A01M7/00 ,  E01H11/00 ,  G05B15/02 ,  G06F18/24 ,  G06T7/0008 ,  G06T7/70 ,  G06V20/188 ,  G06V20/56 ,  H04N23/54 ,  G06T2207/30188

摘要： A weed control apparatus for a vehicle includes a processing unit that receives at least one image of an environment. The processing unit analyses the at least one image to activate at least one chemical spray unit. A liquid weed control chemical is atomized and charged by the at least one chemical spray unit. The at least one chemical spray unit has at least one part configured to be held at high voltage with respect to zero volts potential. The at least one high voltage power supply and the at least one chemical spray unit are configured to hold the at least one part of the at least one chemical spray unit at one or a number of high voltages with respect to zero volts potential, such that the atomized liquid weed control chemical is electrically charged.

公开(公告)号：US12073545B2

公开(公告)日：2024-08-27

申请号：US17508253

申请日：2021-10-22

申请人： The Boeing Company

发明人： Richard A. Effler

IPC分类号： G06T7/00 ,  B64C39/02 ,  G06F18/213 ,  G06T3/40 ,  G06T5/90 ,  G06T7/11 ,  G06T7/80 ,  G06V10/141 ,  G06V10/75 ,  G06V20/10 ,  B64U10/13 ,  B64U101/30

CPC分类号： G06T7/0002 ,  B64C39/024 ,  G06F18/213 ,  G06T3/40 ,  G06T5/90 ,  G06T7/11 ,  G06T7/80 ,  G06V10/141 ,  G06V10/751 ,  G06V20/10 ,  B64U10/13 ,  B64U2101/30 ,  G06T2207/10032 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30248

摘要： A computing device is configured to detect inconsistencies on a vehicle that are typically small and difficult to detect using conventional inspection techniques. Particularly, a spotlight illuminates a target area on the vehicle. The color of the spotlight is the same color as the ambient light illuminating the vehicle but is a higher intensity. Additionally, the color of the spotlight and the ambient light is selected based on the type of inconsistencies expected to be detected. Images of the target area are then captured, digitally processed, and stored in memory, such as a database, for example. Based on the processing of these images, a weighting coefficient is computed and used to generate an enhanced contrast feature map. Inconsistencies are then detected based on the enhanced contrast feature map.

公开(公告)号：US20240282104A1

公开(公告)日：2024-08-22

申请号：US18649967

申请日：2024-04-29

申请人： Corentin Guillo ,  Sivakumaran Somasundaram

发明人： Corentin Guillo ,  Sivakumaran Somasundaram

IPC分类号： G06V20/10 ,  G06V10/40 ,  G06V10/82 ,  G06V20/13 ,  G06V20/70

CPC分类号： G06V20/182 ,  G06V10/40 ,  G06V10/82 ,  G06V20/13 ,  G06V20/176 ,  G06V20/70

摘要： Methods, non-transitory computer-readable storage media, and computer or computer systems directed to detecting, analyzing, and tracking new residential or commercial construction activity using satellite or aerial imagery in combination with a machine learned model are described.