Patents Examined by Leon Flores
  • Patent number: 10997416
    Abstract: The disclosure relates to a system for automatic recognition of plants, including a central server unit, a network, an automatic picture processing unit, a plant database unit, in which plant data are stored, a picture database unit, in which picture data related to plants are stored, and a mobile device with a camera, the camera of the mobile device configured to provide picture data of a plant and the picture data transmitted via the network to the server unit, the automatic picture processing unit together with the plant database unit and the picture database unit on the basis of the transmitted picture data is configured to perform a comparison with data in the plant database unit and the picture database unit and the transmitted picture data of the plant such, that the plant is defined and the definition can be is transmitted back to the mobile device.
    Type: Grant
    Filed: February 24, 2017
    Date of Patent: May 4, 2021
    Assignee: M-FARMS GMBH
    Inventor: Christian Schlemmer
  • Patent number: 10997461
    Abstract: Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based on a plurality of time series elements in the group of time series elements. A processor is used to train a machine learning model using the training dataset.
    Type: Grant
    Filed: February 1, 2019
    Date of Patent: May 4, 2021
    Assignee: Tesla, Inc.
    Inventors: Ashok Kumar Elluswamy, Matthew Bauch, Christopher Payne, Andrej Karpathy, Joseph Polin
  • Patent number: 10990830
    Abstract: An automatically calibrated vehicle-tracking system and methods of use thereof. The automatically calibrated vehicle-tracking system has an input interface for receiving an image stream from a tracking camera and vehicle license plate data indicative of valid license plate detections from a license plate camera; a general purpose processor; a computer-readable memory comprising calibration program code for calibrating the vehicle-tracking system, the calibration program code comprising: a tracking module to generate a plurality of calibration tracks, a pairing module to identify, for each of the plurality of calibration tracks, an association between a valid license plate detection and the calibration track and a calibration to set a threshold for a track parameter.
    Type: Grant
    Filed: September 12, 2017
    Date of Patent: April 27, 2021
    Assignee: GENETEC INC.
    Inventors: Myriam L├ęcart, Jonathan Lavoie
  • Patent number: 10990832
    Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.
    Type: Grant
    Filed: March 6, 2019
    Date of Patent: April 27, 2021
    Assignee: Phantom AI, Inc.
    Inventor: Youngwook Paul Kwon
  • Patent number: 10984240
    Abstract: A system for updating a point cloud of an environment having markers for measuring an environment and a method are provided. The system includes a mobile device having a camera. The system further includes one or more processors responsive to executable computer instructions to perform a method comprising capturing one or more images of at least a portion of the environment that include the one or more markers in the one or more images, identifying the one or more markers within the one or more images, comparing the identified one or more markers to a reference system with known coordinates and integrating the one or more images into a point cloud.
    Type: Grant
    Filed: April 8, 2019
    Date of Patent: April 20, 2021
    Inventors: Denis Wohlfeld, Evelyn Schmitz
  • Patent number: 10984523
    Abstract: A seam inspection apparatus can automatically determine the quality of an image of a seam of a sewn product. The seam inspection apparatus includes an image data acquisition unit that acquires image data of a seam of a sewn product, a feature extraction unit that extracts a feature quantity of the seam from the image data of the seam of the sewn product acquired by the image data acquisition unit, and a quality determination unit that performs quality determination of the seam based on the feature quantity of the seam.
    Type: Grant
    Filed: May 28, 2019
    Date of Patent: April 20, 2021
    Inventor: Kenji Takahashi
  • Patent number: 10970543
    Abstract: A system for object recognition and segmentation from digital images provides an intelligent object recognition and segmentation using one or more multilayer convolutional neural network (CNN) models trained in multiple-stages and in a parallel and distributed manner to improve training speed and efficiency. The training dataset used in each of the multiple training stages for the CNN models are generated, expanded, self-validated from a preceding stage. The trained final CNN models are augmented with post-model filters to enhance prediction accuracy by removing false positive object recognition and segmentation. The system provides improved accuracy to predict object labels to append to unlabeled image blocks in digital images. In one embodiment, the system may be useful for enhancing a digital landmark registry by appending identifying labels on new infrastructure improvements recognized in aerial or satellite land images.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: April 6, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Gilles Brouard, Lewen Zhao, Natacha Fort, Ke Zeng, Adrien Jacquot, Vitalie Schiopu, Florin Cremenescu
  • Patent number: 10963727
    Abstract: Embodiments of this application disclose a method for determining camera pose information of a camera of a mobile terminal. The method includes: obtaining a first image, a second image, and a template image; performing feature point detection on a first feature point of the template image and a second feature point of the second image, to obtain a first homography; determining a first target homography according to a first optical flow feature point in the first image and a second optical flow feature point in the second image, and determining a second homography according to the first target homography and a second target homography; and performing complementary filtering processing on the first homography and the second homography, to obtain camera pose information of the camera. In the embodiments of this application, complementary filtering processing may be performed on two homographies obtained in a camera pose tracking process.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: March 30, 2021
    Inventors: Xiangkai Lin, Linchao Bao, Wei Liu
  • Patent number: 10964011
    Abstract: A method is provided for model training to detect defective products. The method includes sampling training images of a product to (i) extract image portions therefrom made of a center patch and its context and (ii) black-out the center patch. The method further includes performing unsupervised back-propagation training of a Contextual Auto-Encoder (CAE) model using (i) the image portions with the blacked-out center patch as an input and, (ii) the center patch as a target output and, (iii) an image-based loss function, to obtain a trained CAE model. The method also includes sampling positive and negative center-patch-sized portions from the training images. The method additionally includes normalizing, using the trained CAE model, the positive and negative center-patch-sized portions.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: March 30, 2021
    Assignee: NEC Corporation
    Inventors: Eric Cosatto, Felix Wu, Alexandru Niculescu-Mizil
  • Patent number: 10957028
    Abstract: An image generation device includes a first reception unit and a control unit. The first reception unit receives travel information about the travel state of a moving body. The control unit sets, based on the travel information, a multiple-exposure region in an imaging region of an image sensor used on the moving body, and generates image data in which the multiple-exposure region in the imaging region is formed through a multiple exposure and a region other than the multiple-exposure region is not formed through the multiple exposure.
    Type: Grant
    Filed: September 12, 2017
    Date of Patent: March 23, 2021
    Inventors: Osamu Shibata, Hiroshi Iwai, Kazuko Nishimura, Yasuo Miyake, Yoshiaki Satou
  • Patent number: 10950015
    Abstract: The present invention provides a medical image processing method and a computer-readable storage medium. The method includes: reconstructing a two-dimensional cross-sectional image of an imaged tissue based on a volumetric image of the imaged tissue; projecting a CT value of the imaged tissue along a normal direction of the centerline of the imaged tissue in the two-dimensional cross-sectional image; and, positioning the imaged tissue based on the projection result of the CT value of the imaged tissue.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: March 16, 2021
    Assignee: General Electric Company
    Inventors: Bo Guo, Gang Fang, Xueli Wang
  • Patent number: 10947663
    Abstract: A seam inspection device includes an imaging device and a processing device. The imaging device shoots a sewing object supported by a throat plate of a sewing machine and having seams formed therein. And the processing device detects an abnormality of the seam based on an image of the sewing object acquired by the imaging device.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: March 16, 2021
    Inventors: Kimiko Fujie, Koji Hiraoka
  • Patent number: 10943124
    Abstract: In various embodiments, an image monitoring device (100) may acquire (200) video data that captures a medical room. Image processing may be performed on the acquired image data to perform the following tasks: identifying (202) at least one medical apparatus (402) in the medical room; identifying (204) a medical personnel in the medical room; detecting (206) that the medical personnel has occluded a line of sight between the image monitoring device and the at least one medical apparatus; and determining (206) an amount of time that the medical personnel occludes the line of sight. In various embodiments, the amount of time may be compared to one or more thresholds set forth by the first medical protocol. An alert may be triggered (208) in response to a determination that the amount of time fails to satisfy a first threshold of the one or more thresholds.
    Type: Grant
    Filed: March 28, 2017
    Date of Patent: March 9, 2021
    Inventor: Harald Greiner
  • Patent number: 10943132
    Abstract: A method of distant on-road object detection, comprising, capturing an initial frame of a roadway lane in a direction of travel, detecting lane edges in the initial frame, capturing a subsequent frame of the roadway lane, cropping the subsequent frame based on the detected lane edges of the initial frame resulting in an image patch, detecting an image patch object within the image patch, down-sampling the subsequent frame, detecting a down-sampled object within the down-sampled subsequent frame and merging the detections within the image patch and the detections within the down-sampled subsequent frame.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: March 9, 2021
    Assignee: Black Sesame International Holding Limited
    Inventors: Zuoguan Wang, Qun Gu, Jizhang Shan
  • Patent number: 10929676
    Abstract: Implementations described herein discloses a multi-modality video recognition system. Specifically, the multi-modality video recognition system is configured to train a plurality of classifier networks, each of the classifier network trained with a different one of the plurality of video streams, wherein each of the plurality of different classifier networks includes multiple intermediate layers, determine correlation matrices of related intermediate layers of each of the plurality of the different classifier networks, and align the correlation matrices of the related intermediate layers of each of the plurality of the different classifier networks.
    Type: Grant
    Filed: February 27, 2019
    Date of Patent: February 23, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Hamidreza Vaezi Joze, Mahdi Abavisani
  • Patent number: 10930014
    Abstract: The present disclosure relates to a target, a method, and a system for calibrating a camera. One example embodiment includes a target. The target includes a first pattern of fiducial markers. The target also includes a second pattern of fiducial markers. The first pattern of fiducial markers is a scaled version of the second pattern of fiducial markers, such that a calibration image captured of the target simulates multiple images of a single pattern captured at multiple calibration perspectives.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: February 23, 2021
    Assignee: Waymo LLC
    Inventors: Andreas Wendel, Volker Grabe, Jeremy Dittmer, Zachary Morriss
  • Patent number: 10929979
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a landscape video to be presented in a vertical orientation through a display screen of a computing device. Frames of the landscape video can be cropped to allow for full screen presentation of the landscape video in the vertical orientation. The cropped frames of the landscape video can be provided for presentation through the display screen of the computing device in the vertical orientation.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: February 23, 2021
    Assignee: Facebook, Inc.
    Inventors: Thomas Frederick Dimson, Ian McIntyre Silber, Ryan Keenan Olson
  • Patent number: 10929708
    Abstract: Mechanisms are provided to implement a hybrid deep learning network. The hybrid deep learning network receives, from a imaging system, first input data specifying a non-annotated image. The hybrid deep learning network pre-processes the non-annotated image to generate second input data specifying a hint image and corresponding annotation data specifying salient regions of the hint image. The hybrid deep learning network processes the first input data and second input data to perform training of the hybrid deep learning network by targeting feature detection in the non-annotated image in the salient regions identified in the hint image. The trained hybrid deep learning network is used to process third input data specifying a new non-annotated image to thereby identify an object or structure in the new non-annotated image.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: February 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Tanveer F. Syeda-Mahmood, Alexandras Karargyris
  • Patent number: 10929999
    Abstract: A method for controlling a movable object includes obtaining current location information of an obstacle while the movable object tracks a target, and determining whether a location of the obstacle corresponds to a reactive region relative to the movable object based on the current location information of the obstacle. In response to determining that the location of the obstacle corresponds to the reactive region, one or more movement characteristics of the movable object is adjusted in a reactive manner to prevent the movable object from colliding with the obstacle. In response to determining that the location of the obstacle does not correspond to the reactive region, the one or more movement characteristics of the movable object is adjusted in a proactive manner to maintain a distance between the movable object and the obstacle to be larger than a predefined distance.
    Type: Grant
    Filed: August 28, 2018
    Date of Patent: February 23, 2021
    Inventors: Cong Zhao, Shaojie Shen, Jie Qian, Xuyang Feng, Minjian Pang, Junfeng Yu
  • Patent number: 10922830
    Abstract: A system and method for detecting a presence or absence of objects in a trailer are described. A 3D depth-camera is oriented to capture a 3D image. The 3D image includes a plurality of 3D point data defining a portion of a wall, floor, and top of a trailer. The plurality of 3D point data is then analyzed to determine a first, second, and third sub-plurality of points, associated with the portion of the wall, floor, and top, respectively. The first, second, and third sub-pluralities are then removed from the plurality of points to obtain a modified plurality of points, representing a modified 3D image. The modified 3D image is then segmented into a plurality of bins, and the plurality of bins are analyzed to determine one or more points-bin values. A communication is then provided based on whether any of the points-bin values exceeds a threshold value.
    Type: Grant
    Filed: December 19, 2018
    Date of Patent: February 16, 2021
    Assignee: Zebra Technologies Corporation
    Inventors: Justin F. Barish, Adithya H. Krishnamurthy