公开(公告)号：US12114101B2

公开(公告)日：2024-10-08

申请号：US17890644

申请日：2022-08-18

申请人： Alarm.com Incorporated

发明人： Stephen Scott Trundle ,  Daniel Todd Kerzner ,  Donald Gerard Madden ,  Benjamin Asher Berg

IPC分类号： H04N7/18 ,  G06F21/84 ,  G06T7/00 ,  H04N21/4545 ,  H04N23/611 ,  H04N23/63 ,  H04N23/661 ,  H04N23/80

CPC分类号： H04N7/185 ,  G06F21/84 ,  G06T7/0002 ,  H04N21/45455 ,  H04N23/611 ,  H04N23/635 ,  H04N23/661 ,  H04N23/80 ,  G06T2207/10016

摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for preserving privacy in surveillance. The methods, systems, and apparatus include actions of determining a state of a monitoring system, determining an exclusion zone that is shown in a video, determining whether to obfuscate at least a portion of the video based on the exclusion zone and the state of the monitoring system, and obfuscating at least the portion of the video.

公开(公告)号：US12112963B2

公开(公告)日：2024-10-08

申请号：US17419581

申请日：2019-03-06

申请人： Hitachi High-Tech Corporation

发明人： Takashi Hiroi ,  Nobuaki Hirose ,  Takahiro Urano

IPC分类号： G06K9/00 ,  G06T7/00 ,  G06T7/73 ,  H01L21/67

CPC分类号： H01L21/67288 ,  G06T7/001 ,  G06T7/74 ,  G06T2200/24 ,  G06T2207/30148

摘要： The objective of the present invention is provide a defect inspection apparatus that increases defect position precision and can easily align a coordinate origin offset between a reviewing apparatus and the defect inspection apparatus, even when design data cannot be obtained or it is difficult to sufficiently use the design data. The defect inspection apparatus according to the present invention acquires a wafer swath image necessary for inspection, and uses the swath image to detect defects and calculate a positional deviation amount. During the calculation of the positional deviation amount, a template pattern is acquired from one arbitrary swath image via an image processing unit, and the template pattern and a plurality of swath images of the entire wafer are compared, whereby the positional deviation amount for a position corresponding to the template pattern on the wafer is calculated. For positions at which the template pattern is not present, an interpolated positional deviation amount is calculated by executing an interpolation operation by using the calculated positional deviation amount. A defect position is corrected on the basis of the positional deviation amount and the interpolated positional deviation amount, or by using a positional deviation map in which these positional deviation amounts have been mapped on the entire wafer.

公开(公告)号：US12112529B2

公开(公告)日：2024-10-08

申请号：US17230455

申请日：2021-04-14

申请人： HYUNDAI MOTOR COMPANY ,  KIA CORPORATION

发明人： Min Woo Kang ,  Soon Woo Kwon ,  Chung An Lee ,  Hyun Ki Kim ,  Seung Hyun Hong ,  Jun Yun Kang

IPC分类号： G06V10/82 ,  G06F18/2132 ,  G06F18/24 ,  G06N3/044 ,  G06N3/045 ,  G06N3/048 ,  G06N3/08 ,  G06N3/082 ,  G06N20/00 ,  G06T3/60 ,  G06T7/00 ,  G06T7/11 ,  G06V20/70

CPC分类号： G06V10/82 ,  G06F18/2132 ,  G06F18/24 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/082 ,  G06T3/60 ,  G06T7/0002 ,  G06T7/0004 ,  G06T7/11 ,  G06V20/70 ,  G06N3/048 ,  G06N20/00 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30136 ,  G06T2207/30168

摘要： An apparatus and a method for segmenting a steel microstructure phase are provided. The apparatus includes a storage configured for storing a machine learning algorithm and a processing device that segments a microstructure phase using the machine learning algorithm. The processing device is configured to receive label data, to learn a machine learning model by use of the label data as learning data for the machine learning model, and to segment a phase of a steel microstructure image by use of the learned machine learning model.

公开(公告)号：US12112527B2

公开(公告)日：2024-10-08

申请号：US17564512

申请日：2021-12-29

申请人： HON HAI PRECISION INDUSTRY CO., LTD.

发明人： Tung-Tso Tsai ,  Chin-Pin Kuo ,  Tzu-Chen Lin ,  Shih-Chao Chien

IPC分类号： G06V10/778 ,  G06N3/04 ,  G06T7/00 ,  G06V10/774 ,  G06V10/82 ,  G06V10/94

CPC分类号： G06V10/7796 ,  G06N3/04 ,  G06T7/0002 ,  G06V10/774 ,  G06V10/82 ,  G06V10/95 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30168

摘要： In a method for defecting surface defects, a trained weighting generated when defect-free training samples are used to train an autoencoder and pixel convolutional neural network is obtained. A test encoding feature is obtained by inputting the trained weighting into the autoencoder and pixel convolutional neural network and a weighted autoencoder of the weighted autoencoder and pixel convolutional neural network encoding a test sample. The test encoding feature is input into a weighted pixel convolution neural network of the weighted autoencoder and pixel convolutional neural network to output a result of test. The test result is either no defect in the test sample or at least one defect in the test sample. Inaccurate determinations as to defects are thereby avoided. An electronic device and a non-transitory storage medium are also disclosed.

公开(公告)号：US12112480B2

公开(公告)日：2024-10-08

申请号：US18107358

申请日：2023-02-08

申请人： Translatum Medicus, Inc.

发明人： Shelley Romayne Boyd ,  Natalie Pankova

IPC分类号： G06T7/00 ,  A61B3/024 ,  A61B3/028 ,  A61B3/10 ,  A61B3/12 ,  A61B3/14 ,  A61B5/00 ,  A61B5/398

CPC分类号： G06T7/0014 ,  A61B3/024 ,  A61B3/028 ,  A61B3/102 ,  A61B3/1025 ,  A61B3/12 ,  A61B3/14 ,  A61B5/0013 ,  A61B5/398 ,  G06T2207/10048 ,  G06T2207/10064 ,  G06T2207/10101 ,  G06T2207/30041

摘要： Disclosed herein are computer systems for, in part, image processing. Also disclosed herein are systems for processing ocular images of multiple imaging modalities to detect ocular diseases. Also disclosed herein are method comprising systems as described herein.

公开(公告)号：US12112476B2

公开(公告)日：2024-10-08

申请号：US17674818

申请日：2022-02-17

申请人： FUJIFILM Corporation

发明人： Naoki Matsuura

IPC分类号： G06T7/00 ,  G06T7/70 ,  G06V10/764 ,  G08B21/18

CPC分类号： G06T7/0012 ,  G06T7/70 ,  G06V10/764 ,  G06T2207/30004 ,  G06V2201/03 ,  G08B21/18

摘要： A medical support device includes a processor, in which the processor acquires a medical image, acquires correspondence information in which the medical image is associated in advance with presence or absence of a foreign substance image included in the medical image, generates foreign substance estimation information obtained by estimating the presence or absence of the foreign substance image included in the medical image based on the medical image and the correspondence information, and controls a notification based on the foreign substance estimation information.

公开(公告)号：US12112472B2

公开(公告)日：2024-10-08

申请号：US17500583

申请日：2021-10-13

申请人： CANON U.S.A., INC.

发明人： Lampros Athanasiou

IPC分类号： G06T7/00 ,  G06T5/50 ,  G06T5/60 ,  G06T5/70

CPC分类号： G06T7/0012 ,  G06T2207/10064 ,  G06T2207/10101 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20182 ,  G06T2207/30021

摘要： Embodiments disclosed herein provide systems, methods and/or computer-readable media for automatically detecting and removing fluorescence artifacts from catheter-based multimodality OCT-NIRAF images. In one embodiment, a process of determining an automatic threshold value (automatic thresholding) is implemented by sorting characteristic parameter values of the NIRAF signal and finding a maximum perpendicular distance between a curve of the sorted values and a straight line from the highest to the lowest sorted value, combined with the use of unsupervised machine learning classification techniques to detect the frame's NIRAF values that correspond to signal artifacts. Once the signal artifacts are detected, the system can filter out the signal artifacts, correct the frames that had artifacts, and produce a more accurate multimodality image.

公开(公告)号：US12112471B2

公开(公告)日：2024-10-08

申请号：US17456145

申请日：2021-11-22

申请人： GE Precision Healthcare LLC

发明人： Mario Viti ,  Faycal El Hanchi El Amrani ,  Nicolas Gogin ,  Celine Pruvot

IPC分类号： G06T7/11 ,  A61B5/00 ,  G06N3/045 ,  G06N3/08 ,  G06T7/00 ,  G06T17/00

CPC分类号： G06T7/0012 ,  A61B5/7264 ,  G06N3/045 ,  G06N3/08 ,  G06T7/11 ,  G06T17/005 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2207/30096 ,  G06T2207/30101

摘要： Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.

公开(公告)号：US12112463B2

公开(公告)日：2024-10-08

申请号：US17447447

申请日：2021-09-13

申请人： City University of Hong Kong

发明人： Shiqi Wang ,  Kede Ma ,  Keyan Ding

IPC分类号： G06T3/40 ,  G06N3/08 ,  G06T7/00

CPC分类号： G06T7/0002 ,  G06N3/08 ,  G06T3/40 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30168

摘要： The present application provides methods, devices and computer readable media for intrinsic popularity evaluation and content compression based thereon. In an embodiment, there is provided a method of intrinsic popularity evaluation. The method comprises: receiving an image from a social network; and determining an intrinsic popularity score for the image using a deep neural network (DNN) based intrinsic popularity assessment model.

公开(公告)号：US12112260B2

公开(公告)日：2024-10-08

申请号：US16424811

申请日：2019-05-29

申请人： ASML Netherlands B.V.

发明人： Lorenzo Tripodi ,  Patrick Warnaar ,  Grzegorz Grzela ,  Mohammadreza Hajiahmadi ,  Farzad Farhadzadeh ,  Patricius Aloysius Jacobus Tinnemans ,  Scott Anderson Middlebrooks ,  Adrianus Cornelis Matheus Koopman ,  Frank Staals ,  Brennan Peterson ,  Anton Bernhard Van Oosten

IPC分类号： G06N3/08 ,  G01B11/02 ,  G01N21/55 ,  G06T7/00

CPC分类号： G06N3/08 ,  G01B11/02 ,  G01N21/55 ,  G06T7/0006 ,  G06T7/001 ,  G01B2210/56 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30148

摘要： Disclosed is a method of determining a characteristic of interest relating to a structure on a substrate formed by a lithographic process, the method comprising: obtaining an input image of the structure; and using a trained neural network to determine the characteristic of interest from said input image. Also disclosed is a reticle comprising a target forming feature comprising more than two sub-features each having different sensitivities to a characteristic of interest when imaged onto a substrate to form a corresponding target structure on said substrate. Related methods and apparatuses are also described.