Patents Examined by Sheela C Chawan
  • Patent number: 11232575
    Abstract: Systems and techniques are provided for tracking subjects in an area of real space. The system receives a plurality of sequences of images of corresponding fields of view in the real space. The system uses the sequences of images to locate subjects in the area of real space during identification intervals. The system compares a current set of located subjects from a current identification interval with previous sets of located subjects from a plurality of previous identification intervals to track locations of tracked subjects in the area.
    Type: Grant
    Filed: April 18, 2019
    Date of Patent: January 25, 2022
    Assignee: STANDARD COGNITION, CORP
    Inventor: Jordan E. Fisher
  • Patent number: 11227186
    Abstract: The present disclosure relates to a method and a device for training an image recognition model and a related device. The method includes: extracting sub-image feature data from a detection frame sub-image of an input image; determining element feature data matching the sub-image feature data from an index element database; and outputting images related to the element feature data as training images for training the image recognition model. The index element database is built in advance based on a plurality of element feature data extracted from a plurality of candidate images.
    Type: Grant
    Filed: March 24, 2020
    Date of Patent: January 18, 2022
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Jiadong Zhang, Chao Li, Guoyi Liu
  • Patent number: 11210502
    Abstract: Implementations of the present specification disclose a comparison method and apparatus based on a plurality of face image frames and an electronic device. The method includes: obtaining a plurality of face image frames of a target object; selecting a first face image with a highest quality score from the plurality of face image frames, and adding the first face image to a candidate image set; in response to that a number of images in the candidate image set is less than a predetermined value, iteratively selecting, from the plurality of face image frames, a second face image that has a maximum average difference from all face images in the candidate image set in a predetermined parameter, to add the second face image to the candidate image set; and comparing the face images in the candidate image set with a stored face image of the target object.
    Type: Grant
    Filed: March 3, 2021
    Date of Patent: December 28, 2021
    Assignee: Advanced New Technologies Co., Ltd.
    Inventor: Dandan Zheng
  • Patent number: 11203826
    Abstract: One embodiment can provide a system and method for determining joinder points on to-be-joined fabric pieces. During operation, the system captures an image comprising the to-be-joined fabric pieces; identifies to-be-joined edges, respectively, on the fabric pieces; for each edge, computes a curve that substantially fits the edge; and determines the joinder points on the edge based on the computed curve. Variance of distance between two consecutive joinder points on the edge is within a predetermined value.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: December 21, 2021
    Assignee: CreateMe Technologies LLC
    Inventors: Hossein Mousavi Hondori, Gopi Vinod Avvari, Weixin Yang
  • Patent number: 11200683
    Abstract: An image processing device (100) includes an object detecting unit (103a) that detects objects each appearing in a corresponding one of pieces of image data; an object tracking unit (103b) that tracks the detected objects in a time direction; a descriptor generating unit (104) that generates feature descriptors of the respective objects on the basis of results of the detection and results of the tracking of the objects; a data recording control unit (105) that forms a database from the generated feature descriptors and the pieces of image data of the objects corresponding to the feature descriptors; an image retrieving unit (108a) that retrieves, from the database, object groups that match a retrieval condition and form a pair of object groups appearing in pieces of image data obtained by capturing different regions, each of the object groups corresponding to a corresponding one of the regions; a feature extracting unit (108b) that extracts a feature to be used for checking, from pieces of image data and feat
    Type: Grant
    Filed: August 22, 2017
    Date of Patent: December 14, 2021
    Assignee: MITSUBISHI ELECTRIC CORPORATION
    Inventors: Yoshimi Moriya, Naohiro Shibuya, Kazuo Sugimoto
  • Patent number: 11195057
    Abstract: Specification covers new algorithms, methods, and systems for: Artificial Intelligence; the first application of General-AI. (versus Specific, Vertical, or Narrow-AI) (as humans can do) (which also includes Explainable-AI or XAI); addition of reasoning, inference, and cognitive layers/engines to learning module/engine/layer; soft computing; Information Principle; Stratification; Incremental Enlargement Principle; deep-level/detailed recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, tilted or partial-face, OCR, relationship, position, pattern, and object); Big Data analytics; machine learning; crowd-sourcing; classification; clustering; SVM; similarity measures; Enhanced Boltzmann Machines; Enhanced Convolutional Neural Networks; optimization; search engine; ranking; semantic web; context analysis; question-answering system; soft, fuzzy, or un-sharp boundaries/impreciseness/ambiguities/fuzziness in class or set, e.g.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: December 7, 2021
    Assignee: Z ADVANCED COMPUTING, INC.
    Inventors: Lotfi A. Zadeh, Saied Tadayon, Bijan Tadayon
  • Patent number: 11170252
    Abstract: A face recognition method includes capturing a background of an image; after determining that a face exists in the image, determining a face region of interest (ROI) of the face; capturing a foreground of the image with the face; and comparing the face ROI and the foreground of the image to determine whether the face is authentic or not.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: November 9, 2021
    Assignee: Wistron Corporation
    Inventor: Yen-Yu Chen
  • Patent number: 11170491
    Abstract: Systems and methods for assessing a physical structure are provided. Information indicative of an infrared image that includes a portion of the physical structure is received, and one or more indicators within the infrared image exceeding a heat threshold are determined. A plurality of characteristics of the one or more indicators are determined. One or more edges of the portion of the physical structure are detected, and an area associated with an intended use of one or more fasteners associated with the physical structure is determined according to the detected edges. An amount of the one or more indicators corresponding to the area is determined, and the one or more indicators are classified as fasteners according to the determined amount. Based on the classification of the one or more indicators, a condition of the physical structure is determined.
    Type: Grant
    Filed: November 18, 2019
    Date of Patent: November 9, 2021
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: James M. Freeman, Patrick H. Boyer, Nicholas U. Christopulos, Jonathan D. Maurer, Nathan L. Tofte, Jackie O. Jordan, II
  • Patent number: 11163429
    Abstract: Embodiments can provide a computer implemented method in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to cause the processor to implement a system for providing profile photo enhancement, the method comprising receiving, from a specification source, one or more specifications for image acceptance criteria; receiving, from an uploading user, an image; examining, through an image processing toolbox, the image to determine if all of the image acceptance criteria are met; if all image acceptance criteria are met, accepting the image; and if one or more image acceptance criteria are not met, processing the image.
    Type: Grant
    Filed: July 16, 2019
    Date of Patent: November 2, 2021
    Assignee: International Business Machines Corporation
    Inventors: Paul R. Bastide, John M. Boyer
  • Patent number: 11157762
    Abstract: Concepts and technologies directed to surrogate metadata aggregation for dynamic content assembly are disclosed. Embodiments can include a system that comprises a processor and a memory that stores computer-executable instructions that configure a processor to perform operations. The operations can include obtaining a first visual content from a digital data store, where the first visual content is configured to digitally represent a first scene. The operations can include performing image recognition on the first visual content so as to identify a second visual content that is digitally configured to represent a second scene. The operations can include determining that native original metadata cannot be obtained for the first visual content, where the native original metadata includes information about the first scene digitally represented by the first visual content.
    Type: Grant
    Filed: June 18, 2019
    Date of Patent: October 26, 2021
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Robert Alan Koch, Ari Craine
  • Patent number: 11144795
    Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
    Type: Grant
    Filed: January 21, 2020
    Date of Patent: October 12, 2021
    Assignee: Xactware Solutions, Inc.
    Inventors: Jeffrey Taylor, Edmund Webecke
  • Patent number: 11145526
    Abstract: A method of monitoring or analyzing a manufacturing of a semiconductor structure includes providing a semiconductor structure; providing a camera disposed around the semiconductor structure; disposing a liquid substance over the semiconductor structure; removing a portion of the semiconductor structure; removing the liquid substance from the semiconductor structure; capturing a plurality of first images of the semiconductor structure by the camera; analyzing the plurality of first images; identifying a region of the semiconductor structure where a residue of the liquid substance is disposed based on the analysis of the plurality of first images; and performing a response based on the identification of the region of the semiconductor structure.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: October 12, 2021
    Assignee: TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY LTD.
    Inventor: Chih-Yu Wang
  • Patent number: 11138480
    Abstract: Embodiments include a system, method, and computer program product for distributed intelligent pattern recognition. Embodiments include a cooperative multi-agent detection system that enables an array of disjunctive devices (e.g., cameras, sensors) to selectively cooperate to identify objects of interest over time and space, and to contribute an object of interest to a shared deep learning pattern recognition system based on a bidirectional feedback mechanism. Embodiments provide updated information and/or algorithms to one or more agencies for local system learning and pattern updating recognition models. Each of the multiple agencies may in turn, update devices (e.g., cameras, sensors) coupled to the local machine learning and pattern recognition models.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: October 5, 2021
    Assignee: Mutualink, Inc.
    Inventors: Joseph R. Mazzarella, Michael S. Wengrovitz
  • Patent number: 11132789
    Abstract: A target including a reference object of a known size is prepared. The reference object from target image data, which is generated by photographing the target using a survey instrument, is detected through image processing to calculate first size data on dimensions of the reference object. A defect from external appearance image data, which is generated by photographing an external appearance of a structure using the survey instrument, is detected through image processing to calculate defect data on dimensions of the defect. The first size data is compared with second size data on actual dimensions of the reference object to calculate correction data, which is used to correct the defect data.
    Type: Grant
    Filed: June 14, 2017
    Date of Patent: September 28, 2021
    Assignee: NIKON-TRIMBLE CO., LTD.
    Inventor: Yuichi Ohshima
  • Patent number: 11132551
    Abstract: Various embodiments of a cyber-physical system for providing cloud prediction for photovoltaic array control are disclosed herein.
    Type: Grant
    Filed: June 14, 2019
    Date of Patent: September 28, 2021
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Sameeksha Katoch, Pavan Turaga, Andreas Spanias, Cihan Tepedelenlioglu
  • Patent number: 11127115
    Abstract: A disparity determining method, an electronic device, and a computer-readable storage medium are provided. The disparity determining method includes: downsampling a first image and a second image, to obtain a first image with a first size and a second image with the first size; performing first-stage disparity computation on the first image with the first size and the second image with the first size, to obtain a first disparity map with the first size; and performing second-stage disparity computation on a first image with a second size and a second image with the second size based on an upsampled disparity map, with the second size, of the first disparity map, to obtain a second disparity map with the second size.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: September 21, 2021
    Assignee: NEXTVPU (SHANGHAI) CO., LTD.
    Inventors: Shu Fang, Ji Zhou, Xinpeng Feng
  • Patent number: 11120309
    Abstract: A computer-implemented method and systems are provided for performing machine learning for an image classification task. The method includes overlaying, by a processor operatively coupled to one or more databases, a second image on a first image obtained from one or more training sets in the one or more databases, to form a mixed image, by averaging an intensity of each of a plurality of co-located pixel pairs in the first and the second image. The method also includes training, by the processor, a machine learning process configured for the image classification task using the mixed image to augment data used by the machine learning process for the image classification task.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: September 14, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventor: Hiroshi Inoue
  • Patent number: 11120541
    Abstract: A determination device that determines quality of target portion based on sensor data obtained by a sensor measuring the target object, includes one or more processors configured to acquire sensor data representing the target portion, acquire information indicating a changed portion, determine whether the target portion includes the changed portion based on acquired information, determine a first label of the target portion represented in the sensor data by using a determination model learned from a training dataset based on training target portions, the first label representing target portion as one of good, defect, and a defect candidate, accept a second label of the target portion input via a user interface when the target portion includes the changed portion or when the first label of the target portion is determined as the defect candidate, and perform quality determination of the target portion based on the first label and/or the second label.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: September 14, 2021
    Assignee: SEIKO EPSON CORPORATION
    Inventors: Kimitake Mizobe, Taro Tanaka, Natsumi Mano, Hiroyuki Masuda
  • Patent number: 11100627
    Abstract: A detecting method and a detecting device for a display panel are provided. The detecting method includes: collecting a first detection image of the display panel, and acquiring a gray scale value of each of pixel elements in the first detection image; determining the pixel element of the first detection image having the gray scale value outside a default gray scale range as a first pixel element, determining a first communication region constituted by each of the first pixel element of the first detection image, and calculating an aspect ratio of the first communication region; and looking up a target parameter matching with the aspect ratio of the first communication region from a pre-built database, and determining a target type corresponding to the target parameter as a type of the display panel.
    Type: Grant
    Filed: December 13, 2017
    Date of Patent: August 24, 2021
    Assignee: HKC Corporation Limited
    Inventor: Huailiang He
  • Patent number: 11086927
    Abstract: A system and method is provided for displaying surfaces of an object from a vantage point different from the vantage point from which imagery of the object was captured. In some aspects, imagery may be generated for display by combining visual characteristics from multiple source images and applying greater weight to the visual characteristics of some of the source images relative to the other source images. The weight may be based on the orientation of the surface relative to the location from which the image was captured and the location from which the object will be displayed.
    Type: Grant
    Filed: September 19, 2019
    Date of Patent: August 10, 2021
    Assignee: Google LLC
    Inventor: Janne Matias Kontkanen