Animal, Plant, Or Food Inspection Patents (Class 382/110)
  • Patent number: 12213395
    Abstract: Various embodiments described herein provide monitoring and intelligence generation for one or more farm fields by: using remote sensing to monitor progress of a developing crop; comparing a user's field to another field in the area; providing cropped area extent estimates for a current season; using one or more disease risk models to determine disease risk (or disease pressure) with respect to a field; or some combination thereof.
    Type: Grant
    Filed: September 17, 2021
    Date of Patent: February 4, 2025
    Assignee: 6th Grain Corporation
    Inventors: Molly Elizabeth Brown, Min Feng, Vladimir Eskin
  • Patent number: 12207625
    Abstract: There is provided a system and method for automatically monitoring a ruminant animal. The system comprises a 3D camera system that obtains images from a region of interest, in particular the paralumbar fossa. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.
    Type: Grant
    Filed: August 8, 2023
    Date of Patent: January 28, 2025
    Assignee: LELY PATENT N.V.
    Inventor: Xiangyu Song
  • Patent number: 12205368
    Abstract: Implementations are described herein for estimating aggregate trait values for agricultural plots. In various implementations, a plurality of images depicting crops in an agricultural plot may be processed using a feature extraction portion of aggregate trait estimation model to generate a corresponding plurality of embeddings. The plurality of embeddings may be combined to obtain a unified representation of the crops in the agricultural plot. Using a prediction portion of the aggregate trait estimation model, the unified representation of the crops may be processed to estimate, as a direct output of the aggregate trait estimation model, an aggregate trait value of the crops in the agricultural plot. Data indicative of the estimated aggregate trait value of the crops in the agricultural plot may be output at a computing device.
    Type: Grant
    Filed: February 25, 2022
    Date of Patent: January 21, 2025
    Assignee: Deere &Company
    Inventors: Zachary Beaver, Ming Zheng, Chuan Du, Tiffany Cai
  • Patent number: 12203878
    Abstract: A method for monitoring and/or calibrating a device designed for three-dimensional X-ray optical inspection of seedlings in different growth phases may optically or X-ray optically measure natural seedlings in three dimensions at predetermined times during their growth phase. The method may create a control program for a device which is designed for the three-dimensional printing of artificial seedlings as reference samples which are replicas of the natural seedlings in each case using the recorded measured values. The method may also produce artificial seedlings with a plastic using the device in accordance with the created control program. The artificial seedlings thus produced may be measured three-dimensionally by X-ray optics and the measured values thus acquired may be recorded in a control chart or an already created control chart is adapted, with which control chart monitoring and/or calibration of the device designed for the three-dimensional X-ray optical inspection of seedlings is performed.
    Type: Grant
    Filed: July 21, 2022
    Date of Patent: January 21, 2025
    Assignees: Fraunhofer-Gesellschaft zur Forderung der Angewandten Forschung e.V., Strube D&S GmbH
    Inventors: Felix Porsch, Antje Wolff, Andreas Gelz, Yvonne Götz, Marc Neuhoff
  • Patent number: 12205369
    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 may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.
    Type: Grant
    Filed: July 3, 2023
    Date of Patent: January 21, 2025
    Assignee: Verdant Robotics, Inc.
    Inventors: Gabriel Thurston Sibley, Lorenzo Ibarria, Curtis Dale Garner, Patrick Christopher Leger, Andre Robert Daniel Michelin, John Phillip Hurliman, II, Wisit Jirattigalachote, Hasan Tafish
  • Patent number: 12185701
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for self-calibrating ultrasonic removal of sea lice. In some implementations, a method includes generating, by transducers distributed in a sea lice treatment station, a first set of ultrasonic signals, detecting a second set of ultrasonic signals in response to propagation of the first set of ultrasonic signals through water, determining propagation parameters of the sea lice treatment station based on the second set of ultrasonic signals that were detected, obtaining an image of a sea louse on a fish in the sea lice treatment station, determining, from the image, a location of the sea louse in the sea lice treatment station, and generating a third set of ultrasonic signals that focuses energy at the sea louse.
    Type: Grant
    Filed: May 17, 2023
    Date of Patent: January 7, 2025
    Assignee: TidalX AI Inc.
    Inventors: Grace Calvert Young, Matthew Aaron Knoll, Bryce Jason Remesch, Peter Kimball
  • Patent number: 12184966
    Abstract: A method and electronic device capable of improving image quality of an object for identification of a companion animal is proposed. The method for photographing the object for the identification of the companion animal includes obtaining an image including the companion animal, detecting the object for the identification of the companion animal from the image, and photographing a next image in a state in which a focus is set to a location of the detected object. The method and electronic device ensures that the object for the identification of the companion animal is detected in the photographed image and the focus is continuously placed on the location of the corresponding object, so that the image of the object for the identification having sharper quality is obtained, whereby images of the objects for the identification of the companion animals and usable for artificial intelligence-based learning or identification may be accumulated.
    Type: Grant
    Filed: June 27, 2022
    Date of Patent: December 31, 2024
    Assignee: PETNOW INC.
    Inventors: Dae Hyun Pak, Joon Ho Lim
  • Patent number: 12175693
    Abstract: A method for measuring a dimension of a plant can measure the dimension of a plant efficiently with high accuracy. A method for measuring a dimension of a plant with an image of the plant captured with an imager includes placing, behind the plant, a background plate including a dimensional reference in capturing the image of the plant with the imager, capturing an image of a dimensional measurement point of the plant multiple times with a distance between the dimensional measurement point and the background plate being unchanged and with an imaging distance being changed by moving the imager, and measuring the dimension of the plant based on a value of a dimension at the dimensional measurement point in multiple images resulting from capturing the image multiple times using the dimensional reference in the background plate and on a range of imaging with the imager in each of the images.
    Type: Grant
    Filed: July 29, 2021
    Date of Patent: December 24, 2024
    Assignee: OMRON CORPORATION
    Inventor: Xiangyu Zeng
  • Patent number: 12162042
    Abstract: Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.
    Type: Grant
    Filed: August 20, 2019
    Date of Patent: December 10, 2024
    Assignee: P & P OPTICA INC.
    Inventors: Romuald Pawluczyk, Olga Ewa Pawluczyk, Timothy M. F. Stork, Allan Hamzic, Bradley Oldenburg
  • Patent number: 12159456
    Abstract: The disclosure herein relates to identification of agro-phenological zones. Further the disclosed method and system also shares techniques for updating of the identified/existing agro-phenological zones. In a diverse geographical domain (like India), in order to maximize the crop production (avoid crop failures) from the available resources and prevailing diverse climatic conditions it necessary to use the resources and technology to infer the best agriculture approach on an individual location. The invention enables identification of the agro-phenological zones based on satellite image, weather data, soil data and cloud free historical satellite data using several techniques that includes machine learning, time series analysis, heuristic time series analysis technique and clustering. Further the invention also discloses techniques to update the identified/existing agro-phenological zones using historic data of agro-phenological zones of satellite image.
    Type: Grant
    Filed: October 21, 2021
    Date of Patent: December 3, 2024
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Jayantrao Mohite, Suryakant Ashok Sawant, Ankur Pandit, Srinivasu Pappula, Mariappan Sakkan
  • Patent number: 12154091
    Abstract: Computer vision grouping recognition is provided by receiving training images that include unpackaged items; identifying, by a computer vision model, a candidate identities for unpackaged items in a given training image; receiving, from a human user, a selected identity for the unpackaged item as feedback for the candidate identity; constructing a confusion matrix tallying matches and mismatches between candidate identities and the selected identities as analyzed across the training images for each unpackaged item; identifying at least one product category that includes at least a first unpackaged item and a second unpackaged item that the confusion matrix indicates as being misidentified for each other by the computer vision model; and reconfiguring the computer vision model to identify the product category instead of the first unpackaged item or the second unpackaged item when analyzing a given image including one or more of the first unpackaged item or the second unpackaged item.
    Type: Grant
    Filed: June 16, 2023
    Date of Patent: November 26, 2024
    Assignee: Toshiba Global Commerce Solutions Holdings Corporation
    Inventors: Evgeny Shevtsov, Charles Ray Kirk, J. Wacho Slaughter, Andrei Khaitas, Srija Ganguly, Yevgeni Tsirulnik
  • Patent number: 12144287
    Abstract: An agricultural harvesting machine, with at least one work assembly and a monitoring assembly, is disclosed. The agricultural harvesting machine transports harvested material in a harvested material flow along a harvested material transport path. The monitoring assembly includes an measuring system positioned on the harvested material transport path and an evaluation device configured to determine at least one harvested material parameter. The measuring system includes a first passive optical sensor that senses image data indicative of visible light in a first section and a second non-passive non-optical sensor that senses data in a second section that at least partly overlaps the first section. The evaluation device correlates the image data for the overlapping section from the first optical sensor and the data from the second optical sensor and determines, based on the correlation, at least one harvested material parameter.
    Type: Grant
    Filed: June 23, 2021
    Date of Patent: November 19, 2024
    Assignee: CLAAS Selbstfahrende Erntemaschinen GmbH
    Inventors: Frédéric Fischer, Marvin Barther, Dennis Neitemeier, Maik Heufekes, Sven Carsten Belau, Johann Witte
  • Patent number: 12148142
    Abstract: An industrial tomography apparatus comprising a tomography scan device configured to perform tomography scans of the products placed in the scanning zone and an electronic processing unit programmed to generate a virtual three-dimensional tomography model of a product scanned by the tomography scan device, and to perform a procedure for inspecting industrial products of known type, each comprising a packet or a container. During the inspection procedure the electronic processing unit inspects the virtual three-dimensional tomography model to assess internal features of the product and/or the shape of the product at predetermined zones and determines whether or not those internal features and/or respectively that shape, correspond to a product with intact packet or container. The apparatus implements a corresponding method for checking the integrity of packets or containers of industrial products which have known features.
    Type: Grant
    Filed: August 2, 2021
    Date of Patent: November 19, 2024
    Assignee: BIOMETIC S.R.L.
    Inventors: Arianna Giudiceandrea, Enrico Ursella, Giancarlo Zane
  • Patent number: 12142033
    Abstract: A computer-implemented method, computer program product and computer system (100) for identifying weeds in a crop field using a dual task convolutional neural network (120) having a topology with an intermediate module (121) to execute a classification task being associated with a first loss function (LF1), and with a semantic segmentation module (122) to execute a segmentation task with a second different loss function (LF2). The intermediate module and the segmentation module are being trained together, taking into account the first and second loss functions (LF1, LF2).
    Type: Grant
    Filed: September 3, 2020
    Date of Patent: November 12, 2024
    Assignee: BASF SE
    Inventors: Artzai Picon Ruiz, Miguel Linares De La Puerta, Christian Klukas, Till Eggers, Rainer Oberst, Juan Manuel Contreras Gallardo, Javier Romero Rodriguez, Hikal Khairy Shohdy Gad, Gerd Kraemer, Jone Echazarra Huguet, Ramon Navarra-Mestre, Miguel Gonzalez San Emeterio
  • Patent number: 12141880
    Abstract: A routing processor implements a multi-stage prescriptive routing model engine based on harvest input data relating to the harvesting of crops at a plurality of locations by a plurality of combines and based on a harvest characteristic representing an attribute of the crops to be harvested by the combines. The multi-stage prescriptive routing model engine generates a combine routing program prescribing the movement of each combine between the locations and includes a demand stage configured to identify combine harvesting demand as a function of the harvest input data and the harvest characteristic and a scheduling stage configured to generate the combine routing program as a function of the harvesting demand.
    Type: Grant
    Filed: July 28, 2023
    Date of Patent: November 12, 2024
    Assignee: MONSANTO TECHNOLOGY LLC
    Inventors: Sambarta Dasgupta, Anand Pramod Deshmukh, Jesse B. Grote, Hongwei Luo, Aviral Shukla, Zi Wang, Yiduo Zhan, Hui Zhang, Xiaobo Zhou
  • Patent number: 12133611
    Abstract: A calibration tool for a coffee grinder can receive an image generated using a light detection and ranging (LiDAR) system. The image can depict coffee grinds produced by the coffee grinder. The calibration tool can analyze the image using one or more image processing techniques to determine a representative grind size for the coffee grinds. The calibration tool can determine whether the representative grind size of the coffee grinds deviates from a predefined reference size by at least a threshold amount. In response to determining that the representative grind size of the coffee grinds deviates from the predefined reference size by at least the threshold amount, the calibration tool can output a notification associated with the deviation. The notification can include an instruction indicating how to calibrate the coffee grinder to more closely adhere to the predefined reference size.
    Type: Grant
    Filed: July 24, 2024
    Date of Patent: November 5, 2024
    Assignee: Starbucks Corporation
    Inventors: John L. Brockman, Lucas Abrahamsen
  • Patent number: 12131516
    Abstract: A device configured to receive a first encoded vector and receive one or more feature descriptors for a first object. The device is further configured to remove one or more encoded vectors from an encoded vector library that are not associated with the one or more feature descriptors and to identify a second encoded vector in the encoded vector library that most closely matches the first encoded vector based on the numerical values within the first encoded vector. The device is further configured to identify a first item identifier in the encoded vector library that is associated with the second encoded vector and to output the first item identifier.
    Type: Grant
    Filed: November 19, 2021
    Date of Patent: October 29, 2024
    Assignee: 7-ELEVEN, INC.
    Inventors: Sailesh Bharathwaaj Krishnamurthy, Sumedh Vilas Datar, Crystal Maung, Tejas Pradip Rode, Shantanu Yadunath Thakurdesai, Shahmeer Ali Mirza
  • Patent number: 12127713
    Abstract: A calibration tool for a coffee grinder can receive an image. The image can depict coffee grinds produced by the coffee grinder. The calibration tool can analyze the image using one or more image processing techniques to determine a representative grind size for the coffee grinds. The calibration tool can determine whether the representative grind size of the coffee grinds deviates from a predefined reference size by at least a threshold amount. In response to determining that the representative grind size of the coffee grinds deviates from the predefined reference size by at least the threshold amount, the calibration tool can output an instruction indicating how to calibrate the coffee grinder to more closely adhere to the predefined reference size.
    Type: Grant
    Filed: July 10, 2024
    Date of Patent: October 29, 2024
    Assignee: Starbucks Corporation
    Inventor: John L. Brockman
  • Patent number: 12118781
    Abstract: A method and a device for determining an extraction model of a green tide coverage ratio based on mixed pixels. The method includes acquiring sample truth values respectively corresponding to a plurality of target regions water body and green tide; acquiring a plurality of first remote sensing data of a first satellite sensor, the plurality of remote sensing data are in one-to-one correspondence with the plurality of target regions; determining reflection index sets respectively corresponding to the plurality of target regions according to the plurality of remote sensing data; and determining the extraction model of the green tide coverage ratio corresponding to the first satellite sensor according to the sample truth value corresponding to each of the plurality of target regions and the reflection index set corresponding to each of the plurality of target regions.
    Type: Grant
    Filed: July 12, 2021
    Date of Patent: October 15, 2024
    Assignee: THE SECOND INSTITUTE OF OCEANOGRAPHY (SIO), MNR
    Inventors: Difeng Wang, Xiaoguang Huang, Fang Gong, Yan Bai, Xianqiang He
  • Patent number: 12118710
    Abstract: Procedure for the detection of bitter almonds based on the processing of digital images, and a system and device associated therewith. Detection procedure and system for the automated classification of sweet and bitter almonds based on the processing of digital images. The fluorescence of the cyanogenic compounds naturally present in almonds generates a clear difference in colour between sweet and bitter almonds which subsequently is analysed and classified by means of a computer program. The invention also includes the device, either portable or automatic, for carrying out the classification of bitter or sweet almonds. This device will be necessary during the goods reception process and in the validation/verification of the quality of the finished product, prior to the loading and transport process.
    Type: Grant
    Filed: October 21, 2021
    Date of Patent: October 15, 2024
    Assignee: UNIVERSITAT D'ALACANT/UNIVERSIDAD DE ALICANTE
    Inventors: Guillermo Grindlay Lledó, Luis Gras Garcia, Juan Mora Pastor, Marta Navas García
  • Patent number: 12108768
    Abstract: A meat processing apparatus has an automated analysis stage for analysing meat parts with penetrating radiation. Data is generated for sue in both feedforward and feedback information, and may be used for robotic control of trimming and boning operations. There is a radiation-shielded chamber within which there is a tomography scanner with a scanner controller, arranged to perform analysis of meat parts. A port is used for entry and exit of meat parts placed in carriers into and out of the chamber for analysis by the scanner, and a handling system performs automated movement of the carriers between the port and the scanner. The port has an interlock chamber, having an inner door and an outer door and a controller to ensure that while the scanner is operating only one door can open.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: October 8, 2024
    Assignee: DEVRONE UNLIMITED COMPANY
    Inventors: Declan Arthur McDonnell, Sven Gerhard Dudeck, Eik Arnold, Matthias Goldammer
  • Patent number: 12099012
    Abstract: An imaging system includes an imaging device having a holder configured to hold a cell culture plate with a plurality of wells. The imaging device also includes an imaging assembly having a plurality of imaging units, each of which is configured to image one well of the plurality of wells. The imaging system also includes a storage platform in communication with the imaging device configured to receive a plurality of images from the imaging device. The system further includes a computer in communication with the imaging device and the storage platform. The computer is configured to control the imaging device and to display at least one image of the plurality of images.
    Type: Grant
    Filed: May 6, 2022
    Date of Patent: September 24, 2024
    Assignee: The Regents of the University of California
    Inventors: Victoria Ly, Pierre Baudin, Pattawong Pansodtee, Erik Jung, Robert Currie, David Haussler, Mircea Teodorescu
  • Patent number: 12099578
    Abstract: In some embodiments, a method can include receiving first images of produce. The method can further include executing a first machine learning model to generate second images of produce based on the first images of produce. The first images of produce can include (1) images of non-bagged produce or (2) images of bagged produce. The second images of produce can include the other of (1) images of non-bagged produce or (2) images of bagged produce. The method can further include training a second machine learning model based on the first images of produce and the second images of produce. The method can further include executing, after the training, the second machine learning model to classify as a bagged produce or a non-bagged produce an image not included in the first images and not included in the second images.
    Type: Grant
    Filed: June 7, 2023
    Date of Patent: September 24, 2024
    Assignee: Tiliter Pty Ltd.
    Inventors: Christopher Bradley Rodney Sampson, Sufyan Asghar, Rui Dong
  • Patent number: 12093870
    Abstract: This disclosure relates generally to the dynamic sustainability risk assessment of suppliers and sourcing location to aid procurement decision. The existing solutions for sustainability risk assessment involves huge efforts in data collection, upload, consolidation from various data sources which includes sustainability impact factors. The present disclosure captures various data related to the suppliers and the sustainability impact factors from various internal and external data sources and assigns the weights to the sustainability impact factors to generate key performance indicators based on the industry segment and the data related to the suppliers. Further, the system trains an artificial intelligence model based on the key performance indicators and the data related to the suppliers using a ridge regression technique to estimate a sustainability risk assessment of the supplier.
    Type: Grant
    Filed: June 15, 2021
    Date of Patent: September 17, 2024
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Swati Murthy, Rameshwar Gongireddy
  • Patent number: 12094198
    Abstract: A cloud platform-based garlic crop recognition method by coupling active and passive remote sensing images includes: firstly, obtaining an optical satellite remote sensing image based on phenological characteristics of garlic, and constructing a decision tree model for optical image recognition of the garlic by combining geographic coordinate information of the garlic, so as to obtain an optical distribution diagram of the garlic; secondly, obtaining radar image characteristics of the garlic and winter wheat based on a synthetic aperture radar satellite, and constructing a decision tree model for radar image recognition of the garlic by combining the geographic coordinate information of the garlic, so as to obtain a radar distribution diagram of the garlic; and finally, coupling the optical distribution diagram of the garlic with the radar distribution diagram of the garlic, i.e., selecting an intersection of the two distribution diagrams to complete remote sensing recognition drawing of the garlic.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: September 17, 2024
    Assignee: Henan University
    Inventors: Haifeng Tian, Yaochen Qin, Wei Shen, Boyan Zhou, Yongjiu Wang
  • Patent number: 12094228
    Abstract: A method of identifying a level of doneness of food includes: obtaining an initial food detection image; obtaining a current food detection image; performing a differential fusion operation on the initial food detection image and the current food detection image to obtain a fused food detection image; and inputting the fused food detection image into a predetermined neural network model to obtain the level of doneness of food output by the predetermined neural network model. According to the method, the differential image fusion is performed to reduce an influence on determining the level of doneness of food caused by the initial food detection image, and costs of the device may be reduced.
    Type: Grant
    Filed: May 6, 2022
    Date of Patent: September 17, 2024
    Assignees: GUANGDONG MIDEA WHITE HOME APPLIANCE TECHNOLOGY INNOVATION CENTER CO., LTD, MIDEA GROUP CO., LTD
    Inventors: Sanjun Liu, Yusheng Li, Linnan Zhu
  • Patent number: 12080063
    Abstract: The present invention provides a display method, a display system, and a readable storage medium for plant disease diagnosis information. The method comprises: acquiring a plant image; using a disease location detection model to recognize and process the plant image, so as to determine whether the plant image has a suspected disease area; if a result recognized by the disease location detection model indicates that there is at least one suspected disease area, marking and displaying the suspected disease area according to a first preset mode; using a disease diagnosis model to recognize and process the plant image, so as to acquire species information and determine whether the plant image has a suspected disease; and if a result recognized by the disease diagnosis model indicates that there is at least one suspected disease, performing information display regarding the suspected disease according to a second preset mode.
    Type: Grant
    Filed: January 21, 2024
    Date of Patent: September 3, 2024
    Assignee: Hangzhou Ruisheng Software Co., Ltd.
    Inventors: Qingsong Xu, Qing Li
  • Patent number: 12073637
    Abstract: An apparatus and method for loop plating, the apparatus including a scanning system, at least a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to generate, using an optical scanning system, a first scan of a plate digitally connected to a user profile, track content data of the plate as function of the first scan, classify the content data to the user profile, wherein classifying the content data includes generating a loop assessment, verify the content data as function of the classification, generate, using the optical scanning system, a second scan of the plate, identify plating feedback as a function of the second scan, and update the user profile based on the plating feedback, wherein updating the user profile includes generating a progress report.
    Type: Grant
    Filed: July 24, 2023
    Date of Patent: August 27, 2024
    Inventor: Kenneth Neumann
  • Patent number: 12073327
    Abstract: Quantifying plant infestation is performed by estimating the number of biological objects (132) on parts (122) of a plant (112). A computer (202) receives a plant-image (412) taken from a particular plant (112). The computer (202) uses a first convolutional neural network (262/272) to derive a part-image (422) that shows a part of the plant. The computer (202) splits the part-image into tiles and uses a second network to process the tiles to density maps. The computer (202) combines the density maps to a combined density map in the dimension of the part-image and integrates the pixel values to an estimate number of objects for the part. Object classes (132(1), 132(2)) can be differentiated to fine-tune the quantification to identify class-specific countermeasures.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: August 27, 2024
    Assignee: BASF SE
    Inventors: Aitor Alvarez Gila, Amaia Maria Ortiz Barredo, David Roldan Lopez, Javier Romero Rodriguez, Corinna Maria Spangler, Christian Klukas, Till Eggers, Jone Echazarra Huguet, Ramon Navarra Mestre, Artzai Picon Ruiz, Aranzazu Bereciartua Perez
  • Patent number: 12059098
    Abstract: A calibration tool for a coffee grinder can receive an image from a camera. The image can depict coffee grinds produced by the coffee grinder. The calibration tool can analyze the image using one or more image processing techniques to determine a representative grind size for the coffee grinds. The calibration tool can determine whether the representative grind size of the coffee grinds deviates from a predefined reference size by at least a threshold amount. In response to determining that the representative grind size of the coffee grinds deviates from the predefined reference size by at least the threshold amount, the calibration tool can output an instruction indicating how to calibrate the coffee grinder to more closely adhere to the predefined reference size.
    Type: Grant
    Filed: January 29, 2024
    Date of Patent: August 13, 2024
    Assignee: Starbucks Corporation
    Inventor: John L. Brockman
  • Patent number: 12062233
    Abstract: There is provided an information processing apparatus including a projection control unit (150) that causes visual information to be projected onto a projection surface. The visual information corresponds to content that is provided to the projection surface and disposed on a first object. The content is identified on the basis of a recognition result of the first object and a recognition result of a second object. The second object is provided along with the first object.
    Type: Grant
    Filed: September 6, 2019
    Date of Patent: August 13, 2024
    Assignee: SONY CORPORATION
    Inventors: Miki Tokitake, Hiroaki Toriumi, Katsuji Miyazawa, Shoji Watanabe, Tetsuo Ikeda, Yoshihito Ichiyama
  • Patent number: 12039792
    Abstract: A position-determining device, and a milking device, that determines a relative position of an object and includes a 3D time-of-flight camera with a 2D arrangement of pixels configured to repeatedly record an image of a space. A control unit is connected and includes an image-processing device. The 3D time-of-flight camera has a controllable light source and is configured to record a 2D image by means of reflected emitted light and collect distance information. The image-processing device is configured to recognize an object in the 2D image using image-processing criteria and determine distance information and relative position by analysing the 2D image and the distance information. Due to the fact that distance information, which is often much more noisy than 2D brightness information, can be determined with far fewer image points, the position is determined more quickly and reliably.
    Type: Grant
    Filed: January 23, 2020
    Date of Patent: July 16, 2024
    Assignee: LELY PATENT N.V.
    Inventors: Nicky De Waard, Martin Ivan Ganeff
  • Patent number: 12035657
    Abstract: A residue vision system includes an image acquisition device configured for mounting to a harvesting machine. The image acquisition device is configured to acquire, during operation of the harvesting machine, information regarding a first pass in a field. The first pass is a harvested area of the field. During the operation, the first pass is laterally offset from a second pass in the field. An electronic control unit is in communication with the image acquisition device and with a residue distribution system. The residue distribution system is configured to be coupled to the harvesting machine to distribute residue onto the second pass and onto the first pass. The electronic control unit is configured to analyze the information acquired by the image acquisition device and to adjust a distribution of residue onto the first pass while the harvesting machine is harvesting the second pass.
    Type: Grant
    Filed: May 26, 2023
    Date of Patent: July 16, 2024
    Assignee: Deere & Company
    Inventors: Nathan R. Vandike, Andrea M. Agarwal
  • Patent number: 12039794
    Abstract: A control method of an electronic device including a camera, including: based on an image of food being acquired through the camera, identifying a type of the food based on the acquired image and location information of the electronic device; identifying a type of at least one wine matched to the identified type of the food based on information about the identified type of the food from among information about a plurality of foods and information about a plurality of wines; and providing information about the identified type of the at least one wine.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: July 16, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Kyoungho Choi, Wonsik Song, Sungwon Ahn, Jongchan Won, Jonghoon Lee
  • Patent number: 12026963
    Abstract: Provided is a dyeing effect prediction method, a training method of a dyeing effect prediction model, an electronic device, and a storage medium, relating to the field of computers, and in particular to artificial intelligence technologies, neural network model technologies and model training technologies. The dyeing effect prediction method includes decomposing Raman spectrum data of a to-be-detected yarn spindle into a plurality of sub-signal data by using a wavelet basis function; determining a feature of the to-be-detected yarn spindle according to at least a part of target sub-signal data in the plurality of sub-signal data; and predicting to obtain a first dyeing label according to the feature of the to-be-detected yarn spindle by using a dyeing effect prediction model, wherein the first dyeing label is used for representing a dyeing effect grade.
    Type: Grant
    Filed: December 6, 2023
    Date of Patent: July 2, 2024
    Assignee: ZHEJIANG HENGYI PETROCHEMICAL CO., LTD.
    Inventors: Peng Wang, Xiantao Peng, Mingyi Liu, Dandan Wang, Jun Shen, Zheng Teng
  • Patent number: 12019447
    Abstract: A method for trajectory planning, an apparatus, a storage medium, and an electronic device are provided. A constraint set of a space including a target device is determined according to a velocity of an unmanned device and velocities of designated obstacles, so that during optimization of a preliminary reference trajectory, a solution can be obtained with the space in the constraint set as a solution space under the constraint of the constraint set, so as to ensure that the solution space is a convex space, and relatively satisfactory reference trajectory points can be solved.
    Type: Grant
    Filed: February 9, 2022
    Date of Patent: June 25, 2024
    Assignee: Beijing Sankuai Online Technology Co., Ltd.
    Inventors: Huaxia Xia, Guosheng Chen, Run Tian, Xuetao Xing, Zhichao Wang, Hongshuai Chen, Yangyu Zhang, Shitao Yan, Dongchun Ren, Mingyu Fan
  • Patent number: 12019193
    Abstract: Disclosed herein is a method comprising: translating a detector module such that a point of the detector module moves along a curve through movement rounds (i), i=1, . . . , M, with M being a positive integer, wherein the curve is smooth; and in the movement round (i), i=1, . . . , M, capturing partial images (i, j) of a scene using the detector module, j=1, . . . , Hi, when the point is at position Pi,j on the curve, with Hi being an integer greater than 1.
    Type: Grant
    Filed: July 13, 2022
    Date of Patent: June 25, 2024
    Assignee: SHENZHEN XPECTVISION TECHNOLOGY CO., LTD.
    Inventors: Yurun Liu, Peiyan Cao
  • Patent number: 12016259
    Abstract: An information providing device includes an information acquisition part configured to acquire environment information which indicates a growth environment of grass in a predetermined area and state information which indicates a growth state of the grass in the predetermined area, and an information generating part configured to determine a good area which indicates an area in which the growth state of the grass in the predetermined area is good and a bad area which indicates an area in which the growth state of the grass in the predetermined area is bad based on the state information, and configured to generate management information which indicates a content of treatments to be performed with respect to the good area and the bad area based on the environment information.
    Type: Grant
    Filed: March 24, 2021
    Date of Patent: June 25, 2024
    Assignee: HONDA MOTOR CO., LTD.
    Inventors: Hiroto Takahashi, Toshiaki Kawakami, Taro Yokoyama, Wei Song, Takuya Kanisawa
  • Patent number: 12001577
    Abstract: A machine learning model, such as a neural network, is partially encrypted with a homomorphic encryption scheme. Application of the machine learning model to data includes performing operations on plaintext and encrypting results of operations for input to other operations that are performed over cyphertext. Ciphertext output of such operations can be provided to a service that is able to decrypt the ciphertext output.
    Type: Grant
    Filed: September 30, 2021
    Date of Patent: June 4, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Yuanjun Xiong, Jia Bi Zhang, Bing Shuai, Juan Pablo Escalona Garcia
  • Patent number: 12001512
    Abstract: Implementations are described herein for automatically labeling synthetic plant parts in synthetic training images, where the synthetic training images and corresponding labels can be used as training data for training machine learning models to detect, segment, and/or classify various parts of plants in digital images. In various implementations, a digital image may be obtained that captures an area. The synthetic training image may be generated to depict one or more three-dimensional synthetic plants in the area. In many implementations, a plant mask, identifying individual plants as a whole in the synthetic training image, as well as a part mask, uniquely identifying one or more parts of the synthetic plant models, can be overlaid on the synthetic training image to label the one or more parts of the synthetic plant models.
    Type: Grant
    Filed: May 25, 2021
    Date of Patent: June 4, 2024
    Assignee: MINERAL EARTH SCIENCES LLC
    Inventors: Kangkang Wang, Hong Wu, Bodi Yuan, Zihao Li
  • Patent number: 11989886
    Abstract: Existing techniques in precision farming comprise supervised event detection and need labeled training data which is tedious considering the large number of crops, differences therein and even larger number of diseases and pests. The present disclosure provides an unsupervised method and uses images of any size captured in an uncontrolled environment. The methods and systems disclosed find application in automatically localizing and classifying events, including health state and growth stage and also estimating an extent of manifestation of the event. Information of spatial continuity in pixels and boundaries in a given image is used to update the feature representation and label assignment to every pixel using a fully convolutional network. Back propagation of the pixel labels modified according to the output of a graph based method helps the neural network to converge and provide a time efficient solution.
    Type: Grant
    Filed: February 7, 2020
    Date of Patent: May 21, 2024
    Assignee: Tata Consultancy Services Limited
    Inventors: Prakruti Vinodchandra Bhatt, Sanat Sarangi, Srinivasu Pappula
  • Patent number: 11988509
    Abstract: Examples of the disclosure describe systems and methods for identifying, quantifying, and/or characterizing plant stomata. In an example method, a first set of two or more images of a plant leaf representing two or more focal distances is captured via an optical sensor. A reference focal distance is determined based on the first set of images. A second set of two or more images of the plant leaf is captured via the optical sensor, including at least one image captured at a focal distance less than the reference focal distance, and at least one image captured at a focal distance greater than the reference focal distance. A composite image is generated based on the second set of images. The composite image is provided to a trainable feature detector in order to determine a number, density, and/or distribution of stomata in the composite image.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: May 21, 2024
    Assignee: Inari Agriculture Technology, Inc.
    Inventor: Giles Hall
  • Patent number: 11983957
    Abstract: Various techniques employ digital fingerprints, alone or in conjunction with other data related to a physical object, to characterize the physical object in a way allows an identity of the physical object to be confirmed or authenticated within a threshold of confidence when the physical object is encountered at a subsequently after a digital fingerprint thereof was previously ingested, without capture, retention and/or reference to certain types or categories of characterizing information which may be of a sensitive nature and/or subject to misuse or abuse. Such digital fingerprints may include feature vectors and non-positional characterization values, while advantageously omitting positional information that would otherwise allow recreation of a recognizable image of the physical object or an image from which one or more immutable characteristics or traits (e.g.
    Type: Grant
    Filed: May 28, 2021
    Date of Patent: May 14, 2024
    Assignee: Alitheon, Inc.
    Inventors: Will Charles Shannon, Mark Tocci, David Justin Ross
  • Patent number: 11983950
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for identification and re-identification of fish. In some implementations, first media representative of aquatic cargo is received. Second media based on the first media is generated, wherein a resolution of the second media is higher than a resolution of the first media. A cropped representation of the second media is generated. The cropped representation is provided to the machine learning model. In response to providing the cropped representation to the machine learning model, an embedding representing the cropped representation is generated using the machine learning model. The embedding is mapped to a high dimensional space. Data identifying the aquatic cargo is provided to a database, wherein the data identifying the aquatic cargo comprises an identifier of the aquatic cargo, the embedding, and a mapped region of the high dimensional space.
    Type: Grant
    Filed: February 21, 2023
    Date of Patent: May 14, 2024
    Assignee: X Development LLC
    Inventors: Barnaby John James, Grace Taixi Brentano, Christopher Thornton
  • Patent number: 11977036
    Abstract: An inspection device inspects of goods that include plural articles that sometimes overlap each other. An X-ray inspection device irradiates goods containing plural articles having a predetermined shape and inspects the goods on the basis of inspection images obtained from radiation that has passed through the goods or radiation that has reflected off the goods. The X-ray inspection device includes a storage component, a learning component, and an inspection component. The storage component stores, as teaching images, at least the inspection images of the goods that are in a state in which the plural articles overlap each other. The learning component acquires, by machine learning using the teaching images stored in the storage component, features relating to the goods that are in a state in which the plural articles overlap each other. The inspection component inspects the goods using the features that the learning component has acquired.
    Type: Grant
    Filed: October 30, 2018
    Date of Patent: May 7, 2024
    Assignee: ISHIDA CO., LTD.
    Inventors: Makoto Nakatani, Yoshinori Tarumoto, Akihiro Maenaka, Hironori Tsutsumi
  • Patent number: 11978190
    Abstract: A rapid detection system for water and impurity of machine-harvested seed cotton in purchase link, including: a seed cotton large-impurity-cleaning device, a seed cotton sample case, a driving and transmission device, a cotton pressing device, an image collection and processing device, and a moisture regain rate detection device and a control cabinet. The seed cotton sample case consists of a positioning plate and a high light transmittance glass case, the weighing device consists of a weighing sensor, a pallet, and an electric push rod. The driving and transmission device consists of the rollers, the motor of conveyor belts and conveyor belts, the cotton pressing device consists of an electric push rod, a connecting rod, a connecting plate, and a high light transmittance glass plate. Said rapid detection system could realize the rapid detection to the impurity rate and moisture regain rate of the seed cotton.
    Type: Grant
    Filed: August 24, 2021
    Date of Patent: May 7, 2024
    Assignee: Shihezi University
    Inventors: Ruoyu Zhang, Long Wan, Yinglan Jiang, Mengyun Zhang, Jinqiang Chang, Fangdan Song
  • Patent number: 11972618
    Abstract: The method for item recognition can include: optionally calibrating a sampling system, determining visual data using the sampling system, determining a point cloud, determining region masks based on the point cloud, generating a surface reconstruction for each item, generating image segments for each item based on the surface reconstruction, and determining a class identifier for each item using the respective image segments.
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: April 30, 2024
    Assignee: Mashgin Inc.
    Inventors: Abhinai Srivastava, Mukul Dhankhar
  • Patent number: 11961289
    Abstract: Embodiments of the disclosed technologies are capable of inputting, to a machine-learned model that has been trained to recognize a horticultural product in digital imagery, digital video data comprising frames that represent a view of the horticultural product in belt-assisted transit from a picking area of a field to a harvester bin; outputting, by the machine-learned model, annotated video data; using the annotated video data, computing quantitative data comprising particular counts of the individual instances of the horticultural product associated with particular timestamp data; using the timestamp data, mapping the quantitative data to geographic location data to produce a digital yield map; causing display of the digital yield map on a field manager computing device.
    Type: Grant
    Filed: July 15, 2021
    Date of Patent: April 16, 2024
    Assignee: CLIMATE LLC
    Inventors: John M. McNichols, Daniel A. Williams, Keely Roth, Ali Hamidisepehr
  • Patent number: 11944043
    Abstract: Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: April 2, 2024
    Assignee: Climate LLC
    Inventors: Phil Baurer, Justin Koch, Doug Sauder, Brad Stoller
  • Patent number: 11942208
    Abstract: A food-recognition engine can be used with a mobile device to identify, in real-time, foods present in a video stream. To capture the video stream, a user points a camera of the mobile device at foods they are about to consume. The video stream is displayed, in real-time, on a screen of the mobile device. The food-recognition engine uses several neural networks to recognize, in the video stream, food features, text printed on packaging, bar codes, logos, and “Nutrition Facts” panels. The neural-network outputs are combined to identify foods with high probabilities. The foods may be packaged or unpackaged, branded or unbranded, and labeled or unlabeled, and may appear simultaneously within the view of the mobile device. Information about recognized foods is displayed on the screen while the video stream is captured. The user may log identified foods with a gesture and without typing.
    Type: Grant
    Filed: May 20, 2021
    Date of Patent: March 26, 2024
    Assignee: PASSIO INC.
    Inventors: Dmitriy R. Starson, James Kelly, Zvi Ashkenazi