Patents Examined by Xin Jia
  • Patent number: 12002174
    Abstract: Described are systems and methods for detecting objects using calibrated imaging devices and obfuscating, in real-time or near real time, portions of the video data to protect the privacy of operators represented in the video data. For example, a position of an operator within a fulfillment center may be determined or tracked in video data and the pixels representative of that operator may be obfuscated using pixilation and/or other techniques so that a reviewing agent that is viewing the video data cannot determine the identity of the operator. Such obfuscation may be performed in real-time or near real-time using automated processing. In addition, only portions of the video data may be obfuscated so that events (e.g., item picks, item place) and/or other objects represented in the video data are still viewable to the reviewing agent.
    Type: Grant
    Filed: March 3, 2023
    Date of Patent: June 4, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Adrian Bell Barkus, Prathiban Mohanasundaram, Joseph M. Riley, Danny Guan, Waqas Syed Ahmed
  • Patent number: 11996182
    Abstract: Disclosed is an apparatus for assisting the reading of a medical image based on a medical artificial neural network, the apparatus including a computing system. An apparatus according to an embodiment of the present invention includes a computing system, and the computing system includes at least one processor. The at least one processor acquires or receives a first analysis result obtained through the inference of a first artificial neural network for a first medical image, generates a first visualization format, which is a representative visualization format of the first medical image, based on the first analysis result, and visualizes the first medical image and the first analysis result based on the first visualization format.
    Type: Grant
    Filed: November 19, 2020
    Date of Patent: May 28, 2024
    Inventors: Sang Min Lee, Dong Hyun Yang, Jin Kook Kim, Jaeyoun Yi, Donghoon Yu, Seung Lee Park
  • Patent number: 11983889
    Abstract: Selective training of neural networks using motion estimation, including: selecting, from a plurality of pixels in video data from a vehicle, based on motion relative to the vehicle, one or more pixels; and training a neural network based on the video data by zeroing out an error function applied to the selected one or more pixels.
    Type: Grant
    Filed: February 3, 2023
    Date of Patent: May 14, 2024
    Inventors: John Hayes, Volkmar Uhlig, Akash J. Sagar, Nima Soltani, Feng Tian, Christopher R. Lumb
  • Patent number: 11983860
    Abstract: A method and instruction memory for processing acoustic images of a tubular to determine the surface of the tubular. The images may be acquired by an acoustic logging tool deployed into a pipe or well. A Machine Learning model is trained to recognize regions of the acoustic images that are internal to the tubular or not, in order to determine surface pixels. The surface pixels may be rendered to create visualizations of the tubular where noise and non-surface features are filtered out automatically.
    Type: Grant
    Filed: December 2, 2021
    Date of Patent: May 14, 2024
    Assignee: DarkVision Technologies Inc.
    Inventors: Anas Mahmoud, Siavash Khallaghi
  • Patent number: 11983887
    Abstract: A method comprising the steps of: receiving an image from a dynamic vision sensor and an image from an image sensor, wherein the dynamic vision sensor and the image sensor capture at least an overlapping field of view; determining, from the image received from the dynamic vision sensor, an area of movement in the field of view of the image from the image sensor; applying a higher level of image compression to the areas of no movement compared with the area of movement in the image from the image sensor to produce a processed image; and outputting the processed image to a neural network.
    Type: Grant
    Filed: March 2, 2021
    Date of Patent: May 14, 2024
    Assignees: Sony Europe B.V., Sony Group Corporation
    Inventors: Antonio Avitabile, Salvatore Finatti
  • Patent number: 11983959
    Abstract: Disclosed subject matter relates to method and system for securing data of objects in a laboratory environment. An image capturing device configured in a laboratory instrument may capture images of plurality of objects in the laboratory environment. A processor in the laboratory instrument may identify one or more objects from the images matching with predefined target objects. The processor may apply virtual masking object on or around the identified objects to prevent exposure of data associated with the identified objects and thus provides data privacy.
    Type: Grant
    Filed: April 17, 2020
    Date of Patent: May 14, 2024
    Assignee: Beckman Coulter, Inc.
    Inventor: Charles Martinez
  • Patent number: 11977602
    Abstract: A method for training a model for face recognition is provided. The method forward trains a training batch of samples to form a face recognition model w(t), and calculates sample weights for the batch. The method obtains a training batch gradient with respect to model weights thereof and updates, using the gradient, the model w(t) to a face recognition model what(t). The method forwards a validation batch of samples to the face recognition model what(t). The method obtains a validation batch gradient, and updates, using the validation batch gradient and what(t), a sample-level importance weight of samples in the training batch to obtain an updated sample-level importance weight. The method obtains a training batch upgraded gradient based on the updated sample-level importance weight of the training batch samples, and updates, using the upgraded gradient, the model w(t) to a trained model w(t+1) corresponding to a next iteration.
    Type: Grant
    Filed: November 8, 2021
    Date of Patent: May 7, 2024
    Assignee: NEC Corporation
    Inventors: Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Chang Liu
  • Patent number: 11973927
    Abstract: Computer-implemented methods, systems, apparatus, and computer-readable media (transitory or non-transitory) are described herein for detecting eye tracking calibration errors. In various examples, respective poses of first and second eyes of a wearer of a head-mounted display (“HMD”) may be determined. A portion of a first image rendered on a first display of the HMD may be selected based on the pose of the first eye of the wearer. The selected portion of the first image may be matched to a portion of a second image rendered on a second display of the HMD. An eye tracking calibration error may be determined based on the pose of the second eye of the wearer and a location of the portion of the second image.
    Type: Grant
    Filed: March 13, 2019
    Date of Patent: April 30, 2024
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Joseph Nouri, Nathan Nuber
  • Patent number: 11972567
    Abstract: A system for analyzing medical images to detect and classify a medical condition, the system includes an input for receiving a medical image, a convolutional neural network coupled to the input and configured to analyze the medical image to generate a prediction including a probability of the presence of the medical condition in the medical image and an atlas creation module coupled to the convolutional neural network and configured to generate an atlas comprising a set of image features and a set of training images. Each image feature is assigned with at least one training image associated with the medical condition. The system further includes a prediction basis selection module coupled to the convolutional neural network and the atlas and configured to create a prediction basis for the prediction generated by the convolutional neural network.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: April 30, 2024
    Assignee: The General Hospital Corporation
    Inventors: Hyunkwang Lee, Sehyo Yune, Synho Do
  • Patent number: 11967005
    Abstract: A system includes a reconstructor (314) configured to reconstruct cone beam projection data to generate cone beam artifact corrected short scan cone beam volumetric image data. A method includes reconstructing, with a reconstructor, cone beam projection data to generate cone beam artifact corrected short scan cone beam volumetric image data. A computer-readable storage medium storing computer executable instructions which when executed by a processor of a computer cause the processor to: reconstruct cone beam projection data to generate cone beam artifact corrected short scan cone beam volumetric image data.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: April 23, 2024
    Inventor: Kevin Martin Brown
  • Patent number: 11968271
    Abstract: Systems and methods for sender profile and/or recipient profile disambiguation and/or confirmation are disclosed. In instances where a sender profile is not indicated by a user sending a communication from a communal device, heuristic data may be utilized to infer the sender profile. Similar heuristic data may also be used when selection of the sender profile is associated with a low confidence level. Heuristic data may also be used to infer the recipient profile when the user does not indicate the recipient profile or when selection of the recipient profile is associated with a low confidence. Various confirmations may result from the sender and recipient profile disambiguation.
    Type: Grant
    Filed: December 28, 2022
    Date of Patent: April 23, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Christo Frank Devaraj, Christopher Geiger Parker, Sumedha Arvind Kshirsagar, James Alexander Stanton, Aaron Takayanagi Barnet, Venkatesh Kancharla, Gregory Michael Hart
  • Patent number: 11966845
    Abstract: A method for creating generated formatted data, that includes receiving, by a sequential data generator, raw data, where the raw data includes formation data at a drilling environment, processing the raw data to obtain generated recommendation data, where the generated recommendation data includes a proposed drilling location, and creating the generated formatted data, where the generated formatted data includes the generated recommendation data.
    Type: Grant
    Filed: July 17, 2023
    Date of Patent: April 23, 2024
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Mateusz Michal Dyngosz, Charles Benjamin Broaddus, Aidan Porter, Dale E. Jamison
  • Patent number: 11967098
    Abstract: A vehicular trailer angle detection system includes a camera disposed at a rear portion of a vehicle. The system determines, via processing of frames of image data captured by the camera, features of a trailer present rearward of the vehicle and hitched to the vehicle by determining features that have similar position changes between a current frame of image data captured by the camera and a previous frame of image data captured by the camera. Responsive to movement of the trailer relative to the vehicle, and via processing of captured frames of image data, the system tracks determined features over multiple captured frames of image data for different positions of the trailer relative to the vehicle. The system determines angle of the trailer relative to the vehicle based at least in part on tracking of determined features of the trailer over multiple captured frames of image data.
    Type: Grant
    Filed: May 15, 2023
    Date of Patent: April 23, 2024
    Inventors: Horst D. Diessner, Jyothi P. Gali, Nikhil Gupta, Hilda Faraji, Galina Okouneva, Akinyele O. Ikuseru
  • Patent number: 11967165
    Abstract: An Artificial Intelligence (AI) based document processing and validation system identifies anomalies such as errors, fraud, and duplicates of received documents and enables automatic actions for valid documents using machine learning (ML) techniques. The received documents are processed for determining probabilities for errors, fraud, and duplicates. A validation worklist is generated with the documents arranged in descending order of the probabilities and invalid documents with higher probabilities are flagged for review while the valid documents with lower probabilities are further processed for the execution of automatic actions. The feedback from the invalid document review is used to further train the models in determining the probabilities.
    Type: Grant
    Filed: November 15, 2021
    Date of Patent: April 23, 2024
    Inventors: Vijay Desai, Ravi Prakash, Ashok Rajaraman
  • Patent number: 11961205
    Abstract: An image resynthesis system, a system for training a gap filling module to be used in the image resynthesis system, an image resynthesis method, a computer program product, and a computer-readable medium are provided. The image resynthesis system comprises a source image input module, a forward warping module predicting, for each source image pixel of a source image, a corresponding position in a target image, and predicting a forward warping field which is aligned with the source image, and a gap filling module filling in gaps resulting from application of the forward warping module.
    Type: Grant
    Filed: November 7, 2019
    Date of Patent: April 16, 2024
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Artur Andreevich Grigoriev, Victor Sergeevich Lempitsky, Artem Mikhailovich Sevastopolsky, Alexander Timurovich Vakhitov
  • Patent number: 11954598
    Abstract: The present disclosure is directed to an apparatus and method for data analysis for use in data classification via training of a recurrent neural network to identify features from limited reference sets. Based on a one-shot learning algorithm, the method includes selecting a subset of reference data and training a classifier with the selected data. This small subset of reference data can be iteratively tuned to enhance classification of the data according to the desired output of the method. The apparatus may be configured to allow a user to interactively select a subset of reference data which is used to train the classifier and to evaluate classifier performance.
    Type: Grant
    Filed: December 28, 2022
    Date of Patent: April 9, 2024
    Assignee: Canon Medical Systems Corporation
    Inventors: Aneta Lisowska, Vismantas Dilys
  • Patent number: 11948225
    Abstract: An image processing apparatus in an embodiment includes a FIFO memory, a plurality of line buffers, an image processing circuit, and a control circuit. The plurality of line buffers store data inputted from a plurality of cameras. The image processing circuit performs predetermined image processing on the data stored in the plurality of line buffers. The control circuit performs control, according to an output control signal, such that output of data to the plurality of line buffers is stopped and the data stopped from being outputted is stored in the FIFO memory.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: April 2, 2024
    Inventors: Ryuji Hada, Atsushi Masuda
  • Patent number: 11935270
    Abstract: An example method of decoding a point cloud includes selecting, from a plurality of predefined prediction modes, a prediction mode for performing predictive geometry coding of a position of a current node of the point cloud, wherein the plurality of prediction modes includes at least: a zero prediction mode, and a delta prediction mode; responsive to selecting the zero prediction mode: determining a radius, an azimuth, and a laser index of a parent node of the current node; inferring an azimuth and a laser index of a predicted position of the current node as the azimuth and the laser index of the parent node; inferring a radius of the predicted position to be a minimum radius value, wherein the minimum radius value is different than the radius of the parent node; and determining, based on the predicted position of the current node, the position of the current node.
    Type: Grant
    Filed: September 27, 2021
    Date of Patent: March 19, 2024
    Inventors: Bappaditya Ray, Adarsh Krishnan Ramasubramonian, Geert Van der Auwera, Marta Karczewicz
  • Patent number: 11928866
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting locations in an environment of a vehicle where objects are likely centered and determining properties of those objects. One of the methods includes receiving an input characterizing an environment external to a vehicle. For each of a plurality of locations in the environment, a respective first object score that represents a likelihood that a center of an object is located at the location is determined. Based on the first object scores, one or more locations from the plurality of locations are selected as locations in the environment at which respective objects are likely centered. Object properties of the objects that are likely centered at the selected locations are also determined.
    Type: Grant
    Filed: January 3, 2022
    Date of Patent: March 12, 2024
    Assignee: Waymo LLC
    Inventors: Abhijit Ogale, Alexander Krizhevsky
  • Patent number: 11926809
    Abstract: Systems and methods are provided for provided for automatic evaluation of sperm morphology. An image of a semen sample is obtained, and at least a portion of the image is provided to a convolutional neural network classifier. The convolutional neural network classifier evaluates the portion of the image to assign to the portion of the image a set of likelihoods that the portion of the image belongs to a plurality of output classes representing the morphology of sperm within the portion of the image. A metric is assigned to the semen sample based on the likelihoods assigned by the convolutional neural network.
    Type: Grant
    Filed: September 3, 2019
    Date of Patent: March 12, 2024
    Inventors: Hadi Shafiee, Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju