Animal, Plant, Or Food Inspection Patents (Class 382/110)
  • Patent number: 10691745
    Abstract: An arrangement of physical objects can be analyzed using a captured digital image of the arrangement and a reference display file database. A processing device communicatively coupled to the reference display file database receives the captured image depicting the arrangement of physical objects and accesses a reference display file from the reference display file database. The reference display file includes multi-viewpoint image data and scoring components. The processing device identifies at least some of the physical objects using the reference display file. The processing device scores each identified object for such attributes as presence, position and orientation using the scoring components from the reference display file, producing an overall score based on the scoring of each identified object. The processing device can then transmit the overall score to other systems.
    Type: Grant
    Filed: May 23, 2018
    Date of Patent: June 23, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Sheldon Meredith, William C. Cottrill, Brandon Hilliard
  • Patent number: 10643380
    Abstract: A system and method is provided for generating textured building models from wirelessly captured ground-level imagery. Ground-level images of facades of building objects are collected for identification of geometry planes and generation of building façade geometry. The 3D building model is properly geo-positioned, scaled and textured.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: May 5, 2020
    Assignee: HOVER, Inc.
    Inventors: Shaohui Sun, Ioannis Pavlidis, Adam J. Altman
  • Patent number: 10621434
    Abstract: A method and system for generating a map identifying the size and location of anomalous crop health patterns of a geographic area. Predictive crop health forecasting based historical crop health images generates expected crop health images. Statistical parametric mapping is used to model differences in the expected crop health images and current crop health images to generate a statistical parametric map. Regions of anomalous crop health based on the modeled differences are identified in the statistical parametric map. The number of the identified anomalous crop health regions and the size of each of the identified anomalous crop health regions are determined. The statistical significance of the size and number of the anomalous crop health regions relative to the expected crop health is quantified. A map of anomalous crop health patterns delineates the anomalous crop health regions and the statistical significance of the size and number of anomalous crop health regions.
    Type: Grant
    Filed: January 25, 2018
    Date of Patent: April 14, 2020
    Assignee: International Business Machines Corporation
    Inventors: Sean A. McKenna, Beat Buesser, Seshu Tirupathi
  • Patent number: 10621433
    Abstract: A game scoring camera system is disclosed for capturing images of game animals for the purpose of scoring the antlers using an accepted scoring method. One or more cameras are used in a multiscopic arrangement for capturing two-dimensional (2-D) images which are then converted to three-dimensional (3-D) data models, the resulting 3-D data models being used for determining measurements of various antler structures for calculating a score for the set of antlers captured in the images, the score being based on existing antler scoring systems. Some embodiments include one or more cameras, each being mounted on an unmanned aerial vehicle or drone, for capturing images during an aerial survey of game animals located within a particular area. Other embodiments include at least two cameras mounted in a stationary configuration for capturing images of game animals located within a particular area.
    Type: Grant
    Filed: January 3, 2017
    Date of Patent: April 14, 2020
    Assignee: EControls Holdings, KKC
    Inventor: Kennon Guglielmo
  • Patent number: 10527542
    Abstract: The present invention relates to a method of calculating a Topography Adjusted Vegetation Index (TAVI) based on a band ratio model and a solar altitude angle. The method includes the following steps: obtaining the apparent reflectance data of a remote sensing image through image preprocessing, analyzing the quality of the image and numerical distribution, calculating a Shadow Vegetation Index (SVI), and constructing a TAVI combinational algorithm: TAVI = B ir B r + f ? ( ? ) · 1 B r , calculating an adjustment factor f(?) with the solar altitude angle, and finally obtaining anti-topographic effect TAVI vegetation information. The TAVI in the present invention is composed of two band ratio submodels RVI and SVI, the denominators of both of which are red band data of a remote sensing image, and the adjustment factor f(?), which is calculated by a solar altitude angle as a parameter with a sensor factor applied, has great physical significance.
    Type: Grant
    Filed: March 19, 2017
    Date of Patent: January 7, 2020
    Assignee: Fuzhou University
    Inventors: Hong Jiang, Xiaoqin Wang, Chongcheng Chen
  • Patent number: 10492374
    Abstract: In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract, while in the field, one or more phenotypic traits associated with the plant from the sensor data. Indexing, while in the field, the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.
    Type: Grant
    Filed: December 28, 2017
    Date of Patent: December 3, 2019
    Inventors: William R. Regan, Matthew A. Bitterman, Benoit G. Schillings, David R. Brown, Elliott Grant
  • Patent number: 10482539
    Abstract: The disclosure relates to methods and related systems for precision crop modeling and management using the same. Precision crop modeling and management can be incorporated into various methods for growing plants such as crop plants and various methods for managing the growth of such plants in a particular field. The methods generally utilize in-season information relating to weather conditions actually experienced by the field to prepare mid-season, updated crop management plans. A crop management plan is determined using a crop model incorporating a variety of inputs and plant-specific material and energy balances to specify one or more grower-controlled management parameters. An updated plan for a given field can be followed by a grower to increase crop yield and/or optimize one or more other crop or field parameters.
    Type: Grant
    Filed: June 2, 2017
    Date of Patent: November 19, 2019
    Inventor: Bruno Basso
  • Patent number: 10477175
    Abstract: An image of a block or the like entering a space above a play mat is picked up by an image pickup apparatus, and an information processing apparatus detects and recognizes the block on the basis of a picture of the block in a picked up image and performs information processing. The play mat includes a play field that defines a detection space for the block, and a calibration chart including at least a plurality of regions of colors of different luminances. The image pickup apparatus adjusts an exposure time period, a gain value for each color component and a correction rule upon gamma correction on the basis of the picture of the calibration chart in the picked up image.
    Type: Grant
    Filed: January 29, 2016
    Date of Patent: November 12, 2019
    Assignee: Sony Interactive Entertainment Inc.
    Inventors: Hidehiko Ogasawara, Norio Nagatsuka, Naoki Numaguchi, Hiroyuki Segawa, Akio Ohba
  • Patent number: 10462952
    Abstract: Apparatus, systems and methods are provided for crop stand optimization. In some embodiments a field is planted at a first population prescription determined based on a first data set including forecasted weather. A subsequently determined second population prescription is determined based on a second data set determined after planting, and the planted crop is thinned according to the second population prescription. In some embodiments the crop is selectively thinned to remove plants having a plant removal index below a threshold.
    Type: Grant
    Filed: April 14, 2015
    Date of Patent: November 5, 2019
    Assignee: The Climate Corporation
    Inventors: Justin Koch, Nick Cizek
  • Patent number: 10448578
    Abstract: The invention relates to an end-effector device and automated selective thinning system. The system includes vision acquisition hardware, kinematic targeting and heuristic programming, a robotic arm, and a pomologically designed end-effector. The system is utilized to improve efficiency for the fruit-thinning process in a tree orchard, such as peach thinning By automating the mechanical process of fruit thinning, selective fruit-thinners can eliminate manual labor inputs and further enhance favorable blossom removal. Automation used in conjunction with a heuristic approach provides improvements to the system. The system may also be configured as a robotic arm or as a handheld system by including a battery and switching microcontroller with handle or wrist straps. Handheld thinning devices that are mechanical in nature may also be part of the system.
    Type: Grant
    Filed: July 21, 2015
    Date of Patent: October 22, 2019
    Assignee: The Penn State Research Foundation
    Inventors: David Lyons, Paul Heinemann
  • Patent number: 10440292
    Abstract: The invention enables image processing of visible light and near-infrared light using an imaging device. An acquisition unit (110) acquires an image signal representing an image including near-infrared light that has an intensity according to a pattern having a prescribed geometric shape. A signal processing unit (120) uses pattern information which defines the pattern to output, a color signal representing visible light components corresponding to the image signal and a near-infrared signal representing near-infrared light components corresponding to the image signal.
    Type: Grant
    Filed: September 14, 2016
    Date of Patent: October 8, 2019
    Inventor: Masato Toda
  • Patent number: 10430942
    Abstract: Systems and methods for determining body weight predictions and human conditions are disclosed. A body weight may be predicted by capturing at least one image of a human, and determining, from the image, a body weight prediction of the human by processing the at least one image with a data processor. The body weight prediction may further be based on an age-based weight factor. A model such as a neural network model may be used to predict body weight.
    Type: Grant
    Filed: October 1, 2014
    Date of Patent: October 1, 2019
    Assignee: University of Kentucky Research Foundation
    Inventors: Jeffrey S. Barrett, Chee Ng
  • Patent number: 10383305
    Abstract: A leg (205) detection system comprising: a robotic arm (200) comprising a gripping portion (208) for holding a teat cup (203, 210) for attaching to a teat (1102, 1104, 1106, 1108, 2038, 203) of a diary livestock (200, 202, 203); an imaging system coupled to the robotic arm (200) and configured to capture a first three-dimensional (3D) image (138, 2400, 2500) of a rearview of the dairy livestock (200, 202, 203) in a stall (402), the imaging system comprising a 3D camera (136, 138) or a laser (132), wherein each pixel of the first 3D image (138, 2400, 2500) is associated with a depth value; one or more memory (104) devices configured to store a reference (3D) 3D image (138, 2400, 2500) of the stall (402) without any dairy livestock (200, 202, 203); and a processor (102) communicatively coupled to the imaging system and the one or more memory (104) devices, the processor (102) configured to: access the first 3D image (138, 2400, 2500) and the reference (3D) 3D image (138, 2400, 2500); subtract the first 3D image
    Type: Grant
    Filed: October 11, 2018
    Date of Patent: August 20, 2019
    Assignee: Technologies Holdings Corp.
    Inventors: Mark A. Foresman, Bradley J. Prevost, Marijn Van Aart, Peter Willem van der Sluis, Alireza Janani
  • Patent number: 10377581
    Abstract: An article conveying device, capable of selecting and taking out an appropriate article, even when plural articles are conveyed while overlapping each other. The device has: a supplying section for conveying articles; a position/orientation detecting section for detecting 3-D position/orientation of the article on the supplying section; a movement amount detecting section for detecting an amount of movement of the supplying section; a working section for taking out the article while following a conveying motion of the supplying section, based on the detected 3-D position/orientation and based on the detected amount of movement; and an article selecting section for, when the articles are conveyed while being overlapped with each other, selecting an article to be taken out, on which another article is not overlapped on the object in a determined take-out direction, and outputting a command to the working section for taking out the selected article.
    Type: Grant
    Filed: January 19, 2018
    Date of Patent: August 13, 2019
    Inventor: Masafumi Ooba
  • Patent number: 10373316
    Abstract: A method and an apparatus for background subtraction highly applicable in autonomous driving scenarios are described. The method involves a reduction of illumination effects by constructing a normality background image from a normality model based on a plurality of baseline images taken under different illuminating conditions. A subtracted image is obtained by subtracting the normality background image from a scene image pixel-wise (i.e., pixel-by-pixel). The scene image may contain one or more foreground objects. The foreground objects are identified by highlighting the pixels in the subtracted image whose intensity is more than a predetermined standard deviation in the normality model. An illumination-invariant color space transformation algorithm may optionally be utilized to further reduce the variant illumination effects.
    Type: Grant
    Filed: April 20, 2017
    Date of Patent: August 6, 2019
    Inventors: Bruno Sielly Jales Costa, Madeline J Goh
  • Patent number: 10372987
    Abstract: A system for observing agricultural samples includes a chassis suspended on an elevated cable or rail, an actuator disposed within the chassis for moving the chassis forward and backward along the elevated cable or rail, a camera mounted on or within the chassis and configured to acquire image data of an area below the elevated cable or rail including an agricultural sample, and a processor disposed within the chassis for receiving image data from the camera, autonomously controlling the actuator to move the chassis along the elevated cable or rail, and assessing a condition of the agricultural sample from the received image data.
    Type: Grant
    Filed: May 9, 2017
    Date of Patent: August 6, 2019
    Inventors: Rafael R. De Mello Brandao, Marcio F. Moreno, Igor C. Oliveira, Marcelo N. Dos Santos, Leonardo P. Tizzei, Bianca Zadrozny, Maciel Zortea
  • Patent number: 10360475
    Abstract: An object recognition apparatus includes an image capturing unit, a storage unit that stores feature data of a plurality of reference objects, a display unit, and a processor. The processor calculates degrees of similarity between an object in the captured image and a plurality of reference objects, based on the feature data of the reference objects, selects some of the reference objects as candidates objects based on the calculated degrees of similarity, and controls the display unit to display the candidate objects and a message to select one of the candidate objects. If no candidate object is selected within a predetermined time after the candidate objects and the message have been displayed, and thereafter a new image is captured by the image capturing unit, the processor removes the message and calculates degrees of similarity between an object in the newly captured image and the plurality of reference objects.
    Type: Grant
    Filed: August 23, 2017
    Date of Patent: July 23, 2019
    Inventors: Yuta Sasaki, Hitoshi Iizaka, Hidehiko Miyakoshi, Hidehiro Naitou, Yuichiro Hatanaka
  • Patent number: 10353948
    Abstract: A method and non-transitory computer readable medium for content based image retrieval. The method includes selecting a query image, segmenting the selected query image by applying a segmentation technique, extracting features from the segmented query image by determining at least two feature descriptors, including color feature descriptors and texture feature descriptors, and determining a similarity of the query image to a plurality of images included in a database using the determined at least two feature descriptors of the segmented query image, features being extracted from each of the plurality of images included in the database by determining the at least two feature descriptors, the color feature descriptors and the texture feature descriptors including a simultaneous combination of different color spaces, and global and local statistical measurements being carried out on the simultaneous combination of the different color spaces.
    Type: Grant
    Filed: August 8, 2014
    Date of Patent: July 16, 2019
    Assignee: SHAZURA, INC.
    Inventor: Sira Perez de la Coba
  • Patent number: 10347032
    Abstract: Slice representation of a volume with the aid of volume data is provided. A selection of a slice orientation for slice representation of volume data is made. A slice is then determined in accordance with the selected orientation. A relief representation is calculated for this slice and used as a relief for the representation of the at least one slice. A vivid representation of slice information is provided.
    Type: Grant
    Filed: September 18, 2013
    Date of Patent: July 9, 2019
    Assignee: Siemens Healthcare GmbH
    Inventor: Klaus Engel
  • Patent number: 10345763
    Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining an input including an image of a plant, identifying a species of the plant by use of visual recognition of the image. The image is analyzed for symptoms and candidate diagnoses are selected from a diagnostic repository according to the symptoms. With respective candidate diagnoses, a confidence score and a treatment regimen are associated. According to a treatment mode, the candidate diagnoses and treatment regimen are delivered.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: July 9, 2019
    Assignee: International Business Machines Corporation
    Inventors: Evelyn R. Anderson, Natalie N. Brooks Powell, Kristen N. Conley, Martin G. Keen
  • Patent number: 10339697
    Abstract: According to one embodiment, a medical image processing apparatus is configured to capture images of an observation object over time to obtain a three-dimensional image. The observation object includes a first hard tissue and a second hard tissue which are adjacent to each other. The medical image processing apparatus includes a control circuit, a plane acquisition unit, and an image generator. Under the control of the control circuit, the plane acquisition unit extracts the first hard tissue and the second hard tissue based on the three-dimensional image. The image generator generates, as an image for observation, a cross-sectional image of a plane including the first hard tissue and at least part of the second hard tissue or an image projected on a plane parallel to the plane including the first hard tissue and at least part of the second hard tissue based on the three-dimensional image.
    Type: Grant
    Filed: November 23, 2015
    Date of Patent: July 2, 2019
    Assignee: Toshiba Medical Systems Corporation
    Inventors: Megumu Fujiwara, Tatsuya Kimoto, Yasuko Fujisawa
  • Patent number: 10318810
    Abstract: This disclosure describes a system and a method for determining statistics of plant populations based on overhead optical measurements. The system may include one or more hardware processors configured by machine-readable instructions to receive output signals provided by one or more remote sensing devices mounted to an overhead platform. The output signals may convey information related to one or more images of a land area where crops are grown. The one or more hardware processors may be configured by machine-readable instructions to distinguish vegetation from background clutter; segregate image regions corresponding to the vegetation from image regions corresponding to the background clutter; and determine a plant count per unit area.
    Type: Grant
    Filed: September 16, 2016
    Date of Patent: June 11, 2019
    Assignee: SLANTRANGE, INC.
    Inventors: Michael Ritter, Michael Milton, Peter Matusov
  • Patent number: 10311634
    Abstract: A system and method for managing supply chain inventory which includes a product model to direct inventory management operations such as piece picking and restocking. The system includes a scanner configured to measure the dimensions and weight of a product, and to obtain a plurality of images of the product. The system further includes a computing device having at least one processor and a memory, and configured to use the measured weight and dimensions, and the plurality of images, to determine any of a shape of the outer surface of the product, a center of gravity of the product, and a three dimensional representation of a shape of a configuration of the product which may be included in the product model. Configurations can include single product, packaged product, and bundled configurations. The product model may be stored in memory or on a remote database for future use.
    Type: Grant
    Filed: July 8, 2016
    Date of Patent: June 4, 2019
    Assignee: IAM Robotics, LLC
    Inventors: Ricky Alan Houghton, Thomas Galluzzo, Vladimir Altman
  • Patent number: 10303944
    Abstract: A method for recognizing individual plants of a selected type growing in a field, wherein the method comprises capturing color NIR image data of an entire field having plants of a selected type growing therein utilizing an automated plant counting system and calculating a ratio value between each pixel of the color image data and the corresponding pixel of the NIR image data utilizing a plant recognition algorithm executed via a data processing system of the plant counting system. The method additionally comprises generating, via execution of the plant recognition algorithm, a false color image of the field based on the calculated ratios for each pixel, and identifying, via execution of the plant recognition algorithm, all plants of the selected type in the false color image based on a plant distinguishing characteristic uniquely rendered for each individual plant of the selected type in the false color image.
    Type: Grant
    Filed: November 14, 2016
    Date of Patent: May 28, 2019
    Assignee: Monsanto Technology LLC
    Inventors: Christopher A. Hundley, James H. Crain
  • Patent number: 10282607
    Abstract: Example image processing methods, apparatus/systems and articles of manufacture are disclosed herein. An example apparatus includes an image recognition application to identify matches between stored patterns and objects detected in a shelf image, where the shelf image has a shelf image scale estimate. The example apparatus further includes a scale corrector to calculate deviation values between sizes of (A) a first set of the objects detected in the shelf image and (B) a first set of the stored patterns matched with the first set of the objects and reduce an error of the shelf image scale estimate by calculating a scale correction value for the shelf image scale estimate based on the deviation values.
    Type: Grant
    Filed: October 28, 2016
    Date of Patent: May 7, 2019
    Inventors: Antonio Hurtado García, Francisco Javier Martin, Diego García Morate
  • Patent number: 10262407
    Abstract: A system and method for identifying developmental anomalies. The method includes obtaining a first set of at least one multimedia content element showing at least one crop and captured using a first set of at least one capturing parameter; obtaining normal development data for the at least one crop, wherein the normal development data represents at least one normal development characteristic of the at least one crop; analyzing, via machine vision, the first set of at least one multimedia content element to identify a first set of at least one characteristic of the at least one crop; determining, based on the first set of at least one characteristic and the normal development data, whether a suspected anomaly is identified; and verifying if the suspected anomaly is an anomaly using a second set of at least one multimedia content element captured using a second set of at least one capturing parameter.
    Type: Grant
    Filed: February 23, 2017
    Date of Patent: April 16, 2019
    Assignee: Prospera Technologies, Ltd.
    Inventors: Raviv Itzhaky, Daniel Koppel, Simeon Shpiz
  • Patent number: 10251386
    Abstract: According to an aspect of the present application, a bird deterrence system is proposed comprising a laser device for producing a laser beam; comprising scanning equipment for rotating the laser beam at designated lateral and elevational angular speeds relative to the normal axis; a power supply for feeding the laser device and the scanning equipment; and a control unit for controlling the laser device and scanning equipment.
    Type: Grant
    Filed: September 4, 2018
    Date of Patent: April 9, 2019
    Assignee: Bird Control Group, B.V.
    Inventors: Steinar Finn Boye Henskes, Pim Roelof Clement Tammes, Tim Sprang, Pepijn Bastiaan Cox
  • Patent number: 10226053
    Abstract: The invention relates to a method for monitoring a meat processing machine having a meat processing unit for processing input meat products fed thereto into output meat products, an input sensor unit, and a control unit for controlling the meat processing unit, wherein the control unit is connected to the input sensor unit, comprising the steps: feeding input meat products to the meat processing unit, acquiring input product data, in particular geometric data and/or weight data, of the input meat product fed to the meat processing unit by means of the input sensor unit, and determining a tolerance variable for a yield-relevant processing parameter by means of a mathematical model or a database, in each case depending on the acquired input product data. The invention further relates to a meat processing machine for performing the method.
    Type: Grant
    Filed: July 31, 2013
    Date of Patent: March 12, 2019
    Assignee: Nordischer Maschinenbau Rud. Baader GmbH + Co., KG
    Inventors: Ulf Jacobsen, Henning B. Pedersen
  • Patent number: 10212876
    Abstract: Methods and systems are presented for making good use of recently obtained biometric data and for configuring propagule capsules for deployment via an unmanned vehicle so that each has an improved chance of survival.
    Type: Grant
    Filed: May 21, 2018
    Date of Patent: February 26, 2019
    Assignee: DRONESEED CO.
    Inventors: Matthew M. Aghai, Grant Canary, John Thomson, Robert Alexander Krob
  • Patent number: 10209242
    Abstract: In one embodiment, a fluorescence histo-tomography (FHT) system is disclosed. The FHT system includes a housing, a fluorescence camera located within the housing, a white light camera located within the housing, and a fluorescence light source located within the housing. The FHT system further includes a support mount configured to support the housing within a chamber of a slicing apparatus such that the cameras and fluorescence light source are aimed towards a block face of a tissue specimen retained within the chamber.
    Type: Grant
    Filed: August 31, 2016
    Date of Patent: February 19, 2019
    Assignee: EMIT IMAGING, INC.
    Inventors: John W. Hoppin, John V. Frangioni, Robert William Holt, Mohammed Q. Qutaish, Marc Edward Seaman, Mark W. Bordo, Jacob Yost Hesterman
  • Patent number: 10178828
    Abstract: At least one sensor carried by a mobile machine senses a sensed forage crop attribute value independent of plant population for an individual forage plant. A processing unit derives a derived forage crop attribute value based on the sensed forage crop attribute value.
    Type: Grant
    Filed: February 20, 2013
    Date of Patent: January 15, 2019
    Assignee: Deere & Company
    Inventors: Larry L. Hendrickson, Niels Dybro, Noel W. Anderson
  • Patent number: 10172299
    Abstract: A rover includes a base having wheels and a propulsion system coupled to the wheels to propel the rover around a field. A tower is coupled to the base and extends over the base. Sensors are set on the tower and the base and are configured to sense environmental conditions around the rover at different elevations. A computing system includes a processor and memory. The memory is configured to receive measured data from the sensors and determine an amount and manner of water to be dispensed on plant life in the field.
    Type: Grant
    Filed: November 14, 2016
    Date of Patent: January 8, 2019
    Assignee: International Business Machines Corporation
    Inventors: Sergio A. Bermudez Rodriguez, Levente Klein, Alejandro G. Schrott, Theodore G. van Kessel
  • Patent number: 10146993
    Abstract: A non-invasive biometrical identification method and system (100) of animals, comprising: receiving characteristic data of an individual from at least one biometric sensor (102); processing the characteristic data to form biometric data identifying minutiae based skin markings of the individual and biometric data identifying physical characteristics of the individual; evaluating the biometric data identifying minutiae based skin markings of the individual and biometric data identifying physical characteristics of the individual to form biometric characteristic data of the individual; comparing the biometric characteristic findings of the individual to characteristic data of predetermined registered individuals; determining whether the individual is registered; giving the individual a unique identification if the individual is not registered; and registering the unique identification in a data storage (112).
    Type: Grant
    Filed: May 19, 2015
    Date of Patent: December 4, 2018
    Inventors: Kjell Ivar Kasin, Clas Gerhard Sivertsen
  • Patent number: 10095225
    Abstract: According to one embodiment, there is provided a quality controlling device including: a predictor, a frequency calculator, and an implementing signal creator. The predictor employs a prediction model that associates an inspection result value of a first inspection with a predicted value being a value relating to a possibility of pass or failure in a second inspection and calculates the predicted value from an inspection result value that is obtained for an inspection target in the first inspection. The frequency calculator calculates, for the inspection target, an implementation frequency to implement the second inspection in accordance with the predicted value calculated by the predictor. The implementing signal creator creates a signal that indicates, for the inspection target, necessity of implementing the second inspection in accordance with the implementation frequency.
    Type: Grant
    Filed: September 15, 2015
    Date of Patent: October 9, 2018
    Assignee: Kabushiki Kaisha Toshiba
    Inventors: Toshiaki Ohgushi, Takeichiro Nishikawa
  • Patent number: 10078784
    Abstract: Methods and systems are presented for obtaining photographic data recently taken via one or more airborne vehicles (drones, e.g.) and for prioritizing forestry-related review and decision-making as an automatic response to the content of the photographic data even where remote decision-makers are only available via limited-bandwidth connections.
    Type: Grant
    Filed: October 12, 2016
    Date of Patent: September 18, 2018
    Assignee: DRONESEED CO.
    Inventors: Jeff Prouty, Logan Ullyott, Grant Canary
  • Patent number: 10074041
    Abstract: Systems and methods are disclosed for deep learning and classifying images of objects by receiving images of objects for training or classification of the objects; producing fine-grained labels of the objects; providing object images to a multi-class convolutional neural network (CNN) having a softmax layer and a final fully connected layer to explicitly model bipartite-graph labels (BGLs); and optimizing the CNN with global back-propagation.
    Type: Grant
    Filed: April 11, 2016
    Date of Patent: September 11, 2018
    Assignee: NEC Corporation
    Inventors: Feng Zhou, Yuanqing Lin
  • Patent number: 10058076
    Abstract: A method of monitoring an infectious disease, a system using the same, and a recording medium for performing the same are provided. The infectious disease monitoring system includes an imaging device for capturing and transmitting image data on animals managed in a barn, a first server for determining whether a subject suspected of having an infectious disease is detected from the image data and, when the subject suspected of having the infectious disease is detected, transmitting a signal along with the image data, a second server for confirming an occurrence of the infectious disease by analyzing the image data of the subject suspected of having the infectious disease, and transmitting a warning signal when confirmed the occurrence of the infectious disease, and a manager terminal for requesting the image data on the animals to the first server upon receipt of the warning signal and displaying the image data.
    Type: Grant
    Filed: October 3, 2014
    Date of Patent: August 28, 2018
    Assignee: Foundation of Soongsil University-Industry Cooperation
    Inventors: Youngjoon Han, Cheongshim Ko, Namki Lee, Hwanik Chung, Seungmo Hong, Youngtak Kim
  • Patent number: 10059001
    Abstract: An image acquisition unit acquires an image including an object, and a controller starts a visual servo using the acquired image, on the basis of at least one of an error in calibration, an error in installation of a robot, an error resulting from the rigidity of the robot, an error of a position where the robot has gripped the object, an error regarding imaging, and an error regarding a work environment. Additionally, the controller starts the visual servo when the distance between one point of a working unit of the robot and the object is equal to or greater than 2 mm.
    Type: Grant
    Filed: October 29, 2014
    Date of Patent: August 28, 2018
    Assignee: Seiko Epson Corporation
    Inventors: Hiroshi Miyazawa, Yukihiro Yamaguchi, Nobuhiro Karito
  • Patent number: 10051832
    Abstract: A system includes a robotic arm, an imaging device coupled to the robotic arm, a tail positioner coupled to the robotic arm, and a processor. The imaging device captures imaging data of a rearview of a dairy livestock through a field of view of the imaging device. The tail positioner is able to move from a down position to an up position. The processor is coupled to both the imaging device and the tail positioner and is configured to identify a tail of the dairy livestock within the imaging data captured by the imaging device and send one or more instructions to raise the tail positioner from the down position to the up position, thereby moving the tail out of the field of view of the imaging device.
    Type: Grant
    Filed: September 30, 2016
    Date of Patent: August 21, 2018
    Assignee: Technologies Holdings Corp.
    Inventors: Mark A. Foresman, Peter Willem van der Sluis, Robert J. Godfrey
  • Patent number: 10028452
    Abstract: An example plant monitoring system can include sensors connected to a horticultural monitor. The sensors can measure the soil, the environment, individual plant characteristics, etc. At least one horticultural monitor can send sensor data to a local beacon. The local beacon can then receive the data and send it to cloud resources which can process the data. The cloud resources can determine the health of the plant and monitor its development. A user can track this health and development using an interaction device.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: July 24, 2018
    Assignee: BEESPROUT, LLC
    Inventors: Christopher Workman, Maria Bocanegra
  • Patent number: 10013750
    Abstract: Disclosed are object detection method, display methods and apparatuses. The method includes obtaining slice data of inspected luggage in the CT system; generating 3D volume data of objects in the luggage from the slice data; for each object, determining a semantic description including at least a quantifier description of the object based on the 3D volume data; and upon reception of a user selection of an object, presenting the semantic description of the selected object while displaying a 3D image of the object. The above solutions can create a 3D model for objects in the inspected luggage in a relatively accurate manner, and thus provide better basis for subsequent shape feature extraction and security inspection, and reduce omission factor.
    Type: Grant
    Filed: December 23, 2013
    Date of Patent: July 3, 2018
    Assignees: Tsinghua University, Nuctech Company Limited
    Inventors: Li Zhang, Zhiqiang Chen, Ziran Zhao, Qiang Li, Jianping Gu, Yunda Sun
  • Patent number: 9984183
    Abstract: A method of identifying and classifying social complex behaviors among a group of model organisms, comprising implanting at least one RFID transponder in each model organism in said group of model organisms; enclosing said group of model organisms in a monitored space divided into RFID monitored segments; RFID tracking a position of each model organism by reading said at least one RFID transponder in each model organism over a period of time; capturing a sequence of images of each model organism over said period of time; and calculating at least one spatiotemporal model of each model organism based on time synchronization of said RFID tracked position of said model organism with said sequence of images.
    Type: Grant
    Filed: September 17, 2017
    Date of Patent: May 29, 2018
    Assignee: Yeda Research and Development Co. Ltd.
    Inventors: Tali Kimchi, Aharon Weissbrod, Genadiy Vasserman
  • Patent number: 9984470
    Abstract: A system that includes a three-dimensional (3D) camera configured to capture a 3D image of a rearview of a dairy livestock in a stall, a memory, and a processor. The processor is configured to obtain the 3D image, identify one or more regions within the 3D image comprising depth values greater than a depth value threshold, and apply the thigh gap detection rule set to the one or more regions to identify a thigh gap region. The processor is further configured to demarcate an access region within the thigh gap region and demarcate a tail detection region. The processor is further configured to partition the 3D image within the tail detection region to generate a plurality of image depth planes, examine each of the plurality of image depth planes, and determine position information for the tail of the dairy livestock in response to identifying the tail of the dairy livestock.
    Type: Grant
    Filed: August 17, 2016
    Date of Patent: May 29, 2018
    Assignee: Technologies Holdings Corp.
    Inventors: Mark A. Foresman, Bradley J. Prevost
  • Patent number: 9977980
    Abstract: A “Food Logger” provides various approaches for learning or training one or more image-based models (referred to herein as “meal models”) of nutritional content of meals. This training is based on one or more datasets of images of meals in combination with “meal features” that describe various parameters of the meal. Examples of meal features include, but are not limited to, food type, meal contents, portion size, nutritional content (e.g., calories, vitamins, minerals, carbohydrates, protein, salt, etc.), food source (e.g., specific restaurants or restaurant chains, grocery stores, particular pre-packaged foods, school meals, meals prepared at home, etc.). Given the trained models, the Food Logger automatically provides estimates of nutritional information based on automated recognition of new images of meals provided by (or for) the user. This nutritional information is then used to enable a wide range of user-centric interactions relating to food consumed by individual users.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: May 22, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Neel Suresh Joshi, Siddharth Khullar, T Scott Saponas, Daniel Morris, Oscar Beijbom
  • Patent number: 9933405
    Abstract: Methods for evaluating one or more immature ears of maize are presented in which digital imagery and image processing are used to assess physical properties of immature maize ears that are correlated with yield and other yield-related traits. Also provided are methods for identifying leads using immature ear photometry.
    Type: Grant
    Filed: April 8, 2016
    Date of Patent: April 3, 2018
    Inventors: Guofu Li, Travis A Hanselman, Jacque Hockenson, Dale F Loussaert, Timothy Michael Moriarty, Rachael Woods
  • Patent number: 9935726
    Abstract: A wireless data acquisition system includes a data acquisition unit including a data sensor; a first wireless data link and a second wireless timing link with predicable or low latency. Stimulus and time markers come from a trigger generator. Data signals from the data sensor are transmitted across the wireless data link and timing information of the data acquisition unit is transmitted across the wireless timing link. A receiving host receives the transmitted data and timing information for logging and/or processing.
    Type: Grant
    Filed: January 13, 2014
    Date of Patent: April 3, 2018
    Assignee: Cognionics, Inc.
    Inventor: Yu Mike Chi
  • Patent number: 9922242
    Abstract: Systems and methods for improving the health and wellbeing of subjects in an industrial setting are disclosed. The systems may include a camera arranged so as to observe one or more features of a subject, and a processor, coupled to the camera, the processor configured to analyze one or more images obtained therefrom, to extract one or more features from the image(s) of the subject, and to analyze one or more of the features, or sub features nested therein to predict an outcome of a state of the subject. In particular the system may be configured to generate a diagnostic signal (e.g. an outcome, fever, mastitis, virus, bacterial infection, rut, etc.) based upon the analysis.
    Type: Grant
    Filed: November 26, 2013
    Date of Patent: March 20, 2018
    Assignee: AGRICAM AB
    Inventors: Ellinor Eineren, Landy Toth, Jorgen Ahlberg
  • Patent number: 9892501
    Abstract: There is disclosed a system for estimating the volume of food on a plate, for example meal, with a mobile device. The system uses a camera and a light pattern projector. Images of the food with and without a projected light pattern on it enable to compute the tridimensional shape and volume, while image segmentation and recognition steps estimate one or more food types in said images. By applying accessible knowledge databases, the carbs content is estimated and the associated insulin bolus doses are provided. Developments comprise coding of the light pattern, different light sources and associated wavelengths, motion compensations, additional optics, estimation of fat content and associated multi-wave boluses. The invention can be implemented in a glucometer or in an insulin pump controller provided with a test strip port or with a mobile phone.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: February 13, 2018
    Assignees: Roche Diabetes Care, Inc., University of Bern
    Inventors: Joachim Dehais, Alan Greenburg, Sergey Shevchick, Abhishek Soni, Marios Anthimpoulos, Stavroula Mougiakakou
  • Patent number: 9886016
    Abstract: An automated irrigation control comprising crop sensor physically attached to a crop and a light sensitive sensor having a photo-detector for monitoring light intensity of a crop, an irrigation conduit extending along the span of the irrigation zone and adapted to carry fluid, with one or more controllable valves and sensors, growth sensors placed in close proximity of the crop sensors, a computer control system, an irrigation controller, and a communications link between the computer control system, the one or more crop sensor, the three or more growth sensors, and the irrigation controller.
    Type: Grant
    Filed: January 8, 2015
    Date of Patent: February 6, 2018
    Assignee: International Business Machines Corporation
    Inventors: Sergio A. Bermudez Rodriguez, Hendrik F. Hamann, Levente Klein, Fernando J. Marianno
  • Patent number: 9857172
    Abstract: The present invention provides a method for implementing high-precision orientation and evaluating orientation precision of a large-scale dynamic photogrammetry system, including steps: a) selecting a scale bar, arranging code points at two ends of the scale bar, and performing length measurement on the scale bar; b) evenly dividing a measurement space into multiple regions, sequentially placing the scale bar in each region, and photographing the scale bar by using left and right cameras; d) limiting self-calibration bundle adjustment by using multiple length constraints, adjustment parameters including principal point, principal distance, radial distortion, eccentric distortion, in-plane distortion, exterior orientation parameter and spatial point coordinate; and e) performing traceable evaluation of orientation precision of the photogrammetry system. The present invention can effectively reduce the relative error in length measurement.
    Type: Grant
    Filed: September 25, 2017
    Date of Patent: January 2, 2018
    Inventors: Mingli Dong, Peng Sun, Wei Li, Jun Wang, Bixi Yan, Naiguang Lv