Patents Examined by Michael R Neff
  • Patent number: 11455782
    Abstract: Embodiments of the present disclosure disclose a target detecting method and apparatus, a training method, an electronic device, and a medium. The target detecting method includes: separately extracting, by means of a neural network, characteristics of a template frame and a detection frame, where the template frame is a detection box image of a target object, and the template frame is smaller than the detection frame in image size; obtaining a classification weight and a regression weight of a local region detector based on the characteristic of the template frame; inputting the characteristic of the detection frame into the local region detector to obtain classification results and regression results of multiple alternative boxes output by the local region detector; and obtaining a detection box for the target object in the detection frame according to the classification results and regression results of the multiple alternative boxes output by the local region detector.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: September 27, 2022
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Bo Li, Wei Wu
  • Patent number: 11449976
    Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include receiving data representing an image, detecting a portion of the image associated with a unit of spatial translation relative to a reference, identifying a subset of pixels to be formed on the surface, and causing emission of a subset of pixel projectiles directed to impact a portion of a surface to form a replica of a portion of the image.
    Type: Grant
    Filed: December 21, 2019
    Date of Patent: September 20, 2022
    Inventors: Gabriel Thurston Sibley, Curtis Dale Garner, Andre Robert Daniel Michelin, Lorenzo Ibarria, Patrick Christopher Leger, Benjamin Rewis, Shi Yan
  • Patent number: 11450152
    Abstract: An apparatus for detecting morphed or averaged images, wherein the morphed or averaged images are synthetically generated images including information from two or more different source images corresponding to two or more subjects. The apparatus may include a feature extraction module for receiving an input image and outputting a set of descriptor feature(s) characteristic of the image and a classifier module configured to allocate the input image either to a first class indicating that the image has been morphed or averaged or a second class indicating that it has not been morphed or averaged, based on the descriptor feature(s). The feature extraction module may include a plurality of neural networks providing complementary descriptor feature(s) to the classifier module. The apparatus further may include a fusion module for combining descriptor feature data from each neural network and transmitting the fused feature data to the classifier module.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: September 20, 2022
    Assignee: NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY (NTNU)
    Inventors: Raghavendra Ramachandra, Kiran Bylappa Raja, Sushma Venkatesh, Christoph Busch
  • Patent number: 11450103
    Abstract: A vision based light detection and ranging (LIDAR) system detects motion of a targeted object using a dynamic vision sensor to locate and track the targeted object. The dynamic vision sensor identifies activity events associated with the motion of the targeted object based on changes in brightness detected at pixels of the dynamic vision sensor. Based on the identified events, the vision based LIDAR system predicts a location of the targeted object and directs a tracking beam onto one or more spots on the targeted object and determines distances to the one or more spots to track the motion of the targeted object in three dimensions.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: September 20, 2022
    Assignee: CRAZING LAB, INC.
    Inventors: Sang-Pyo Kim, Sreenivasa Kosireddy
  • Patent number: 11429812
    Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.
    Type: Grant
    Filed: February 26, 2020
    Date of Patent: August 30, 2022
    Assignee: Mayachitra, Inc.
    Inventors: Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran
  • Patent number: 11425852
    Abstract: A method includes obtaining, by the treatment system configured to implement a machine learning (ML) algorithm, one or more images of a region of an agricultural environment near the treatment system, wherein the one or more images are captured from the region of a real-world where agricultural target objects are expected to be present, determining one or more parameters for use with the ML algorithm, wherein at least one of the one or more parameters is based on one or more ML models related to identification of an agricultural object, determining a real-world target in the one or more images using the ML algorithm, wherein the ML algorithm is at least partly implemented using the one or more processors of the treatment system, and applying a treatment to the target by selectively activating the treatment mechanism based on a result of the determining the target.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: August 30, 2022
    Assignee: VERDANT ROBOTICS, INC.
    Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Dustin James Webb
  • Patent number: 11423308
    Abstract: Implementations disclosed herein provide systems and methods that use classification-based machine learning to generate perceptually-plausible content for a missing part (e.g., some or all) of an image. The machine learning model may be trained to generate content for the missing part that appears plausible by learning to generate content that cannot be distinguished from real image content, for example, using adversarial loss-based training. To generate the content, a probabilistic classifier may be used to select color attribute values (e.g., RGB values) for each pixel of the missing part of the image. To do so, a pixel color attribute is segmented into a number of bins (e.g., value ranges) that are used as classes. The classifier determines probabilities for each of the bins of a color attribute for each pixel and generates the content by selecting the bin having the highest probability for each color attribute for each pixel.
    Type: Grant
    Filed: September 15, 2020
    Date of Patent: August 23, 2022
    Assignee: Apple Inc.
    Inventors: Gowri Somanath, Daniel Kurz
  • Patent number: 11417089
    Abstract: A vegetation index calculation apparatus (10) is provided with a learning model generation unit (11) that generates a learning model, by using an image of a crop targeted for calculation of a vegetation index and an image of plants other than the crop to learn a feature amount of the image of the crop, an image acquisition unit (12) that acquires an aerial image of a target region where the crop is being grown, a specification unit (13) that applies the aerial image acquired by the image acquisition unit (12) to the learning model generated by the learning model generation unit (11), and specifies the image of the crop in the aerial image acquired by the image acquisition unit (12), and a vegetation index calculation unit (14) that calculates the vegetation index of the crop, using the image of the crop specified by the specification unit (13).
    Type: Grant
    Filed: February 16, 2018
    Date of Patent: August 16, 2022
    Assignee: NEC CORPORATION
    Inventors: Kousuke Ishida, Hajime Ishikawa, Shinji Oominato, Shunsuke Akimoto, Masami Sakaguchi, Shintaro Matsumoto
  • Patent number: 11417102
    Abstract: Systems and techniques are provided for anomalous path detection within cameras' fields of view. Video of the field of view of a camera in an environment may be received from the camera. A person may be detected in the video. Motion of the person in the video may be tracked to generate a motion path. Contextual data for the motion path may be received. The motion path and contextual data may be stored in a camera training data set. A camera model for the camera and the field of view may be generated by inputting the camera training data set to a machine learning system. The camera model for the camera and the field of view may be stored.
    Type: Grant
    Filed: June 5, 2020
    Date of Patent: August 16, 2022
    Assignee: GOOGLE LLC
    Inventor: Marci Meingast
  • Patent number: 11418287
    Abstract: Systems and methods for utilizing dynamic codes in a dynamic system comprising neural networks are disclosed. In an exemplary embodiment, training data is transmitted to an encoder block, the encoder block having an encoder neural network. Training data is encoded utilizing the encoder neural network of the encoder block, and then decoded by a decoder block, the decoder block having a decoder neural network. An end-end error is determined by comparing the training data that was transmitted to the encoder block against the decoded training data that was received from the decoder block. Encoder/decoder parameters to minimize the end-end error are optimized and transmitted. Upon receipt of the encoder/decoder parameter updates, the encoder block and the decoder block are initialized.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: August 16, 2022
    Assignee: Aira Technologies, Inc.
    Inventors: RaviKiran Gopalan, Anand Chandrasekher, Yihan Jiang
  • Patent number: 11406097
    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system determines a vehicle pose of a vehicle as the vehicle moves along a path. The system identifies a first target agricultural object for treatment. Based on the determined vehicle pose, the system positions a treatment head of a first treatment unit such that a first projectile fluid may be emitted by the first treatment unit at the identified first target agricultural object. The system then causes an emitter to emit a fluid from the treatment head at the first target agricultural object.
    Type: Grant
    Filed: December 7, 2021
    Date of Patent: August 9, 2022
    Assignee: Verdant Robotics, Inc.
    Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Wisit Jirattigalochote
  • Patent number: 11409994
    Abstract: Methods for image segmentation, computer devices, and storage mediums. The method includes acquiring a to-be-segmented image, inputting the to-be-segmented image into an input variable of a full convolution neural network and outputting a convolution characteristic pattern; inputting the convolution characteristic pattern into an input variable of a context-switchable neural network and outputting context expression information; and generating an intermediate characteristic pattern for image segmentation according to the convolution characteristic pattern and the context expression information.
    Type: Grant
    Filed: May 15, 2018
    Date of Patent: August 9, 2022
    Assignee: SHENZHEN UNIVERSITY
    Inventors: Di Lin, Hui Huang
  • Patent number: 11403489
    Abstract: Provided are a target object processing method and apparatus, and a storage medium. The method includes: inputting first data into a first processing module to obtain a predicted data annotation result; inputting the data annotation result into a second processing module, and performing scene-adaptive incremental learning according to the data annotation result to obtain a neural network adapted to a scene of second data; and processing a scene corresponding to a target object according to data including the target object and the neural network.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: August 2, 2022
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Shixin Han, Yu Guo, Hongwei Qin, Yu Zhao
  • Patent number: 11393049
    Abstract: There is provided a system for customized application of herbicides, comprising: a processor(s) executing a code for: feeding test images corresponding to a target agricultural field into a machine learning model trained on a training dataset of sample images of sample agricultural field(s) labelled with ground truth of weed parameters, selecting specific weed parameter(s) of according to performance metric(s) of the model, setting up instructions for triggering application of a first herbicide to a portion of the target agricultural field in response to an outcome of the model indicating likelihood of the specific weed parameter(s) being depicted in an input image of the portion of the target agricultural field, and setting up instructions for triggering application of a second herbicide to the portion of the target agricultural field in response to the outcome of the model indicating non-likelihood of the specific weed parameter(s) being depicted in the input image.
    Type: Grant
    Filed: May 6, 2021
    Date of Patent: July 19, 2022
    Assignee: Centure Applications LTD
    Inventors: Itzhak Khait, Alon Klein Orbach, Yoav Halevi
  • Patent number: 11393132
    Abstract: An encoding device, a decoding device, and a method for mesh decoding are disclosed. The method for mesh decoding includes receiving a compressed bitstream. The method also includes separating, from the compressed bitstream, a first bitstream and a second bitstream. The method further includes decoding, from the second bitstream, connectivity information of a three dimensional (3D) mesh. The method additionally includes decoding, from the first bitstream, a first frame and a second frame that include patches. The patches included in the first frame represent vertex coordinates of the 3D mesh and the patches included in the second frame represent a vertex attribute of the 3D mesh. The method also includes reconstructing a point cloud based on the first and second frames. Additionally, the method also includes applying the connectivity information to the point cloud to reconstruct the 3D mesh.
    Type: Grant
    Filed: March 5, 2020
    Date of Patent: July 19, 2022
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Esmaeil Faramarzi, Madhukar Budagavi, Rajan Laxman Joshi, Hossein Najaf-Zadeh, Indranil Sinharoy
  • Patent number: 11393219
    Abstract: Embodiments of the present disclosure disclose a method and an apparatus for detecting an obstacle, an electronic device, a vehicle and a storage medium. The method includes: obtaining a depth map around a vehicle; performing a terrain fitting based on the depth map to determine a terrain equation; determining a set of candidate obstacle points based on the terrain equation and the depth map; clustering candidate obstacle points in the set of candidate obstacle points to obtain at least one independent obstacle; and identifying and filtering a falsely detected obstacle from the at least one independent obstacle to obtain a depth-map-based obstacle detection result.
    Type: Grant
    Filed: September 26, 2019
    Date of Patent: July 19, 2022
    Assignee: Apollo Intelligent Driving Technology (Beijing) Co., Ltd.
    Inventors: Dongming Chen, Xun Sun, Liang Wang
  • Patent number: 11386297
    Abstract: This learning data generation device (10) is provided with: an identification unit (11) which identifies a subject included in a first captured image, and generates an identification result in which information indicating the type and existence of the identified subject or the motion of the identified subject is associated with the first captured image; and a generation unit (12) which generates learning data on the basis of the identification result and a second captured image, which is associated with the first captured image but is different in type from the first captured image.
    Type: Grant
    Filed: July 10, 2020
    Date of Patent: July 12, 2022
    Assignee: NEC CORPORATION
    Inventor: Soma Shiraishi
  • Patent number: 11387855
    Abstract: A method of operation for an Ethernet transceiver is disclosed. The method includes receiving, with receiver circuitry from a link partner transceiver, a data signal carrying data. A threshold change in signal quality of the data signal is detected. A fast retrain operation is initiated in response to the threshold change in signal quality. The fast retrain operation includes adaptively self-updating the receiver circuitry based on filter information generated by the receiver circuitry independently of signals received from the link partner transceiver.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: July 12, 2022
    Assignee: Marvell Asia Pte, Ltd.
    Inventors: Seid Alireza Razavi Majomard, Hossein Sedarat, Dragan Labalo
  • Patent number: 11379983
    Abstract: An analysis device configured to analyze an attribute of a correlation between responses with respect to a stimulus to a first subcellular component that is a subcellular component of a cell and a second subcellular component different from the first subcellular component, the analysis device including an attribute analysis unit that analyzes the attribute of the correlation between the first subcellular component and the second subcellular component based on a first change in a feature value of the second subcellular component with respect to the stimulus in a state a function of the first subcellular component is suppressed and a second change in a feature value of the second subcellular component with respect to the stimulus in a state the function of the first subcellular component is not suppressed.
    Type: Grant
    Filed: June 23, 2017
    Date of Patent: July 5, 2022
    Assignees: NIKON CORPORATION, THE UNIVERSITY OF TOKYO
    Inventors: Takuro Saigo, Shoko Yamasaki, Masayuki Murata, Fumi Kano, Yoshiyuki Noguchi
  • Patent number: 11380086
    Abstract: System and techniques are provided for three-dimension (3D) semantic segmentation. A device for 3D semantic segmentation includes: an interface, to obtain a point cloud data set for a time-ordered sequence of 3D frames, the 3D frames including a current 3D frame and one or more historical 3D frames previous to the current 3D frame; and processing circuitry, to: invoke a first artificial neural network (ANN) to estimate a 3D scene flow field for each of the one or more historical 3D frames by taking the current 3D frame as a reference frame; and invoke a second ANN to: produce an aggregated feature map, based on the reference frame and the estimated 3D scene flow field for each of the one or more historical 3D frames; and perform the 3D semantic segmentation based on the aggregated feature map.
    Type: Grant
    Filed: March 25, 2020
    Date of Patent: July 5, 2022
    Assignee: Intel Corporation
    Inventors: Kun Yu, Yan Hao, Lu Li, Zhiyong Zhu