Patents Examined by Manav Seth
  • Patent number: 12260568
    Abstract: An optimal automatic mapping method between a real image and a thermal image in a body heat tester, and the body heat tester using the method. The real image from the real imaging camera has wider angle of view than the thermal image from the thermal imaging camera, to maximize the use of thermal imaging without omission of thermal imaging pixels in a thermal inspection device using an infrared imaging device. The body heat tester comprises a thermal imaging camera, a real imaging camera and a data processing unit. The data processing unit matches the thermal and real images, obtains the reconstructed real image matched with the thermal image by stretching or shortening the top, bottom, left, and right of the real image based on the thermal image, and detects the body heat (temperature) of the subject using the thermal image and the reconstructed real image.
    Type: Grant
    Filed: November 23, 2021
    Date of Patent: March 25, 2025
    Assignee: MESH CO., LTD.
    Inventors: Jung Hoon Lee, Joo Sung Lee, Hyun Chul Ko
  • Patent number: 12254700
    Abstract: A system comprising at least one hardware processor for updating a cloud-based road anomaly database is disclosed, wherein the system receives information from a vehicle regarding an object detected by one or more sensors of the vehicle, the information may include a location and/or a size of the detected object; compares the location and/or the size of the first detected object against data stored in a road feature database regarding the first detected object; determines, based on comparing the location and/or the size, an accuracy score associated with the first detected object and the second detected object; and updates the cloud-based road anomaly database with the received information for the second detected object based on the associated accuracy score being higher than at least one of a threshold accuracy score or an accuracy score associated with corresponding object information stored in the cloud-based road anomaly database.
    Type: Grant
    Filed: November 4, 2021
    Date of Patent: March 18, 2025
    Assignee: Hitachi Astemo, Ltd.
    Inventors: Xiaoliang Zhu, Subrata Kumar Kundu, Paul Liu
  • Patent number: 12256078
    Abstract: A predetermined context variable is assigned, according to a device, system, or method, to a first bin of a bin sequence obtained by binarizing an adaptive orthogonal transform identifier indicating a mode of adaptive orthogonal transform in image encoding and context encoding is performed for the first bin of the bin sequence. Furthermore, a predetermined context variable is assigned to a first bin of a bin sequence obtained by binarizing an adaptive orthogonal transform identifier indicating a mode of inverse adaptive orthogonal transform in image decoding and context decoding is performed for the first bin of the bin sequence.
    Type: Grant
    Filed: February 2, 2024
    Date of Patent: March 18, 2025
    Assignee: SONY GROUP CORPORATION
    Inventor: Takeshi Tsukuba
  • Patent number: 12236587
    Abstract: Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.
    Type: Grant
    Filed: February 14, 2022
    Date of Patent: February 25, 2025
    Assignee: FUJIFILM SONOSITE, INC.
    Inventors: Davin Dhatt, Thomas Duffy, Adam Pely, Christopher White, Andrew Lundberg, Paul Danset, Craig Chamberlain, Diku Mandavia
  • Patent number: 12229976
    Abstract: The present disclosure relates generally to evaluating the surfaces of a building. The present disclosure relates more particularly to a method of characterizing a surface texture of a building surface. The method includes illuminating a first area of the building surface from a single direction and capturing an image of the first area using a camera while the first area is illuminated. The first image includes a first group of digital pixel values. The method further includes calculating a first set of values that characterize a first surface texture of the first area based on a first group of digital pixel values of the image, and comparing the first set of values to a second set of values that characterize a second surface texture, so as to produce a comparator value.
    Type: Grant
    Filed: June 26, 2023
    Date of Patent: February 18, 2025
    Assignee: CertainTeed Gypsum, Inc.
    Inventors: Rachel Z. Pytel, Sidath S. Wijesooriya, Simon Mazoyer, Brice Dubost
  • Patent number: 12211314
    Abstract: Provided is a control method including obtaining a first image; performing face recognition and gesture recognition on the first image; turning on a gesture control function when a first target face is recognized from the first image and a first target gesture is recognized from the first image; and returning to the act of obtaining the first image when the first target face is not recognized from the first image or the first target gesture is not recognized from the first image.
    Type: Grant
    Filed: January 26, 2021
    Date of Patent: January 28, 2025
    Assignee: BOE Technology Group Co., Ltd.
    Inventors: Honghong Jia, Fengshuo Hu, Jingru Wang
  • Patent number: 12205292
    Abstract: Systems, methods and apparatus for sematic segmentation of 3D point clouds using deep neural networks. The deep neural network generally has two primary subsystems: a multi-branch cascaded subnetwork that includes an encoder and a decoder, and is configured to receive a sparse 3D point cloud, and capture and fuse spatial feature information in the sparse 3D point cloud at multiple scales and multi hierarchical levels; and a spatial feature transformer subnetwork that is configured to transform the cascaded features generated by the multi-branch cascaded subnetwork and fuse these scaled features using a shared decoder attention framework to assist in the prediction of sematic classes for the sparse 3D point cloud.
    Type: Grant
    Filed: July 16, 2021
    Date of Patent: January 21, 2025
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventors: Ran Cheng, Ryan Razani, Bingbing Liu
  • Patent number: 12205271
    Abstract: A rotating platform having a plurality of stalls is provided, each of the stalls being configured to house a respective animal during milking. The stalls are separated from one another by delimiting structures. A camera registers three-dimensional image data of the rotating platform within a field of view. A controller receives the image data that has been registered while the rotating platform completes at least one full revolution around its rotation axis. The controller processes the image data to derive a set of key features of the rotating platform, and then stores the set of key features in a data storage, which is configured to make the set of key features available for use at a later point in time.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: January 21, 2025
    Assignee: DeLaval Holding AB
    Inventor: Erik Oscarsson
  • Patent number: 12205308
    Abstract: An image processing apparatus includes circuitry that estimates a first geometric transformation parameter aligning first output image data with the original image data, the first output image data being acquired by reading a first output result, and a second geometric transformation parameter aligning second output image data with the original image data, the second output image data being acquired by reading a second output result. The circuitry associates, based on the first and second geometric transformation parameters, combinations of color components of the first and second output image data, corresponding to pixels of the original image data, to generate pixel value association data, and determines, based on the pixel value association data, a mapping for estimating color drift between the first output image data and the second output image data from the original image data. The original image data is subjected to color conversion based on the mapping.
    Type: Grant
    Filed: July 9, 2021
    Date of Patent: January 21, 2025
    Assignee: RICOH COMPANY, LTD.
    Inventor: Tomoyasu Aizaki
  • Patent number: 12198395
    Abstract: Disclosed are methods, systems, and apparatus for object localization in video. A method includes obtaining a reference image of an object; generating, from the reference image, homographic adapted images showing the object at various locations with various orientations; determining interest points from the homographic adapted images; determining locations of an object center in the homographic adapted images relative to the interest points; obtaining a sample image of the object; identifying matched pairs of interest points, each matched pair including an interest point from the homographic adapted images and a matching interest point in the sample image; and determining a location of the object in the sample image based on the locations of the object center in the homographic adapted images relative to the matched pairs. The method includes generating a homography matrix; and projecting the reference image of the object to the sample image using the homography matrix.
    Type: Grant
    Filed: December 21, 2021
    Date of Patent: January 14, 2025
    Assignee: ObjectVideo Labs, LLC
    Inventors: Sima Taheri, Gang Qian, Allison Beach
  • Patent number: 12190634
    Abstract: Techniques for automated facial measurement are provided. A set of coordinates for a set of landmarks on a face of a user are extracted by processing an image using a machine learning model. An orientation of the face of the user is determined. It is determined that impedance conditions are not present in the images, and a reference distance on the face of the user is estimated based on the image, where the image depicts the user facing towards the imaging sensor. A nose depth of the user is estimated based on a second image based at least in part on the reference distance, where the second image depicts the user facing at an angle relative to the imaging sensor. A facial mask is selected for the user based on the nose depth.
    Type: Grant
    Filed: September 27, 2021
    Date of Patent: January 7, 2025
    Assignees: ResMed Corp, ResMed Pty Ltd, Reciprocal Labs Corporation, ResMed Halifax ULC
    Inventors: Leah J. Morrell, Michael C. Hogg, Paul A. Dickens, Harsh C. Parikh, Mark W. Potter, Matthieu Cormier, Dyllon T. Moseychuck
  • Patent number: 12190581
    Abstract: Techniques are described for automated operations related to analyzing visual data from images captured in rooms of a building and optionally additional captured data about the rooms to assess room layout and other usability information for the building's rooms and optionally for the overall building, and to subsequently using the assessed usability information in one or more further automated manners, such as to improve navigation of the building. The automated operations may include identifying one or more objects in each of the rooms to assess, evaluating one or more target attributes of each object, assessing usability of each object using its target attributes' evaluations and each room using its objects' assessment and other room information with respect to an indicated purpose, and combining the assessments of multiple rooms in a building and other building information to assess usability of the building with respect to its indicated purpose.
    Type: Grant
    Filed: September 11, 2023
    Date of Patent: January 7, 2025
    Assignee: MFTB Holdco, Inc.
    Inventors: Viktoriya Stoeva, Sing Bing Kang, Naji Khosravan, Lambert E. Wixson
  • Patent number: 12175616
    Abstract: An image positioning system capable of real-time positioning compensation includes a 3D marking device, a photographing device, a 3D scanning device, a beam splitter, and a processing unit. The 3D marking device has a polyhedral cube. The beam splitter is configured to cause the photographing device and the 3D scanning device to capture an image of and scan the 3D marking device respectively from the same field of view. The processing unit is configured to calculate image data and 3D scanning data generated respectively by the photographing device and the 3D scanning device to obtain a positioning compensation amount and perform positioning compensation.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: December 24, 2024
    Assignee: METAL INDUSTRIES RESEARCH & DEVELOPMENT CENTRE
    Inventors: Chieh-Hua Chen, Po-Chi Hu, Chin-Chung Lin, Wen-Hui Huang, Yan-Ting Chen
  • Patent number: 12175799
    Abstract: Methods and systems for adaptive, template-independent handwriting extraction from images using machine learning models and without manual localization or review. For example, the system may receive an input image, wherein the input image comprises native printed content and handwritten content. The system may process the input image with a model to generate an output image, wherein the output image comprises extracted handwritten content based on the native handwritten content. The system may process the output image to digitally recognize the extracted handwritten content. The system may generate a digital representation of the input image, wherein the digital representation comprises the native printed content and the digitally recognized extracted handwritten content.
    Type: Grant
    Filed: July 9, 2021
    Date of Patent: December 24, 2024
    Assignee: THE BANK OF NEW YORK MELLON
    Inventors: Houssem Chatbri, Bethany Kok
  • Patent number: 12165341
    Abstract: Embodiments herein provide for a method of determining an optical device modulation transfer function (MTF). The method described herein includes projecting a baseline image of a pattern from a light engine to a detector. The baseline image is analyzed to determine a baseline function. A baseline fast Fourier transform (FFT) or a baseline MTF of the baseline function is obtained. The method further includes projecting an image of the pattern from the light engine to one or more optical devices. The pattern is outcoupled from the one or more optical devices to the detector. The image is analyzed to determine a function. A function FFT or a function MTF is obtained corresponding to the image. An optical device MTF of the one or more optical devices is determined by comparing the baseline FFT and the function FFT determined by analyzing the image or by comparing the baseline MTF and the function MTF determined by analyzing the image.
    Type: Grant
    Filed: November 23, 2021
    Date of Patent: December 10, 2024
    Assignee: Applied Materials, Inc.
    Inventors: Jinxin Fu, Yangyang Sun, Ludovic Godet
  • Patent number: 12165306
    Abstract: A rendered image is generated from a semiconductor device design file. The rendered image is segmented based on a grey level of the rendered image. Care areas are determined based on the segmenting. Defect inspection is performed in the care areas. This process can be performed on a wafer inspection tool that uses photon optics or electron beam optics.
    Type: Grant
    Filed: March 16, 2021
    Date of Patent: December 10, 2024
    Inventors: Manikandan Mariyappan, Jin Qian, Zhuang Liu, Xiaochun Li, Siqing Nie
  • Patent number: 12153409
    Abstract: Described is determining defects of an object produced using an additive manufacturing process, including: determining spatially resolved first data relating to n objects, the first data defines a process coordinate system for each of the n objects, determining measurement data relating to the n objects by imaging the n objects, the measurement data defines, for each of the n objects, an object representation in a measurement coordinate system, determining which coordinates of at least one section of the measurement coordinate system are defect coordinates assigned to a defect in the object representation; correlating the at least one section with a corresponding section of the process coordinate system in order to collect training data, training an adaptive algorithm for determining defect coordinates in spatially resolved data, by means of the training data, determining spatially resolved second data, and analysing the second data for defects by means of the adaptive algorithm.
    Type: Grant
    Filed: April 16, 2020
    Date of Patent: November 26, 2024
    Assignee: VOLUME GRAPHICS GMBH
    Inventors: Gerd Schwaderer, Thomas Günther, Johannes Fieres, Matthias Flessner
  • Patent number: 12148224
    Abstract: A controller obtains plural images generated by an imaging device disposed onboard a vehicle, and analyzes at least first and second images of the plural images to identify a feature of interest that is offboard the vehicle and at least partially depicted in the first and second images. The controller determines a first unit vector for the feature of interest based on a first location of the feature of interest in the first image, and determines a second unit vector for the feature of interest based on a second location of the feature of interest in the second image. The controller calculates a third location of the feature of interest, relative to a physical environment, based on the first unit vector, the second unit vector, and at least one of a first reference location of the vehicle or a second reference location of the vehicle.
    Type: Grant
    Filed: October 5, 2021
    Date of Patent: November 19, 2024
    Assignee: Transportation IP Holdings, LLC
    Inventors: Nathan Thomas North, Ankit Mathur
  • Patent number: 12138073
    Abstract: Systems and methods for generating a prediction of a body composition of a user using an image capturing device are disclosed. The systems and methods can be used to predict body compositions such as body fat percentage, water content percentage, muscle mass, bone mass, and so on, from a single user image. The methods include the steps of receiving one or more user images and one or more user parameters, generating one or more key points based on the one or more user images, and generating a prediction of the body composition of the user based on the one or more key points and the one or more user parameters, using a body composition deep learning network (DLN). In one embodiment, the body composition DLN comprises a face image DLN, a body feature DLN, and an output DLN.
    Type: Grant
    Filed: March 24, 2022
    Date of Patent: November 12, 2024
    Assignee: Bodygram, Inc.
    Inventors: Subas Chhatkuli, Kyohei Kamiyama, Chong Jin Koh
  • Patent number: 12141985
    Abstract: A weeding robot and a method and apparatus for planning a weeding path for the weeding robot and a medium are provided. The method for planning a weeding path for the weeding robot includes the following steps: acquiring an image segmentation model based on neural network model training, where the image segmentation model is configured to identify and segment a weed target feature, a soil target feature and a crop target feature; and based on the weed target feature, acquiring the weed target feature by intra-camera tracking, and acquiring the weed target feature by inter-camera tracking, and planning a weeding path for a weeding robotic arm of the weeding robot, to enable the weeding robotic arm to weed according to the weeding path.
    Type: Grant
    Filed: April 21, 2022
    Date of Patent: November 12, 2024
    Assignee: NANJING INSTITUTE OF AGRICULTURAL MECHANIZATION, MINISTRY OF AGRICULTURE AND RURAL AFFAIRS
    Inventors: Longfei Cui, Xinyu Xue, Feixiang Le, Tao Sun, Songchao Zhang, Chen Chen, Yongkui Jin, Yang Xu, Zhu Sun, Suming Ding, Qingqing Zhou, Chen Cai, Wei Gu, Wei Kong