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公开(公告)号：US20250008883A1
公开(公告)日：2025-01-09
申请号：US18893026
申请日：2024-09-23
Applicant: DOGTOOTH TECHNOLOGIES LIMITED
Inventor： Duncan ROBERTSON , Matthew COOK , Edward HERBERT , Frank TULLY
IPC: A01G9/14 , A01D46/22 , A01D46/24 , A01D46/253 , A01D46/28 , A01D46/30 , B25J9/00 , B25J9/06 , B25J9/16 , B25J11/00 , B25J15/00 , G05D1/648 , G06F18/214 , G06F18/24 , G06F18/243 , G06Q30/0283 , G06T7/00 , G06T7/11 , G06T7/50 , G06T7/60 , G06T7/70 , G06T7/90 , G06V20/10 , G06V20/68
Abstract: A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.
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公开(公告)号：US12190395B2
公开(公告)日：2025-01-07
申请号：US18420289
申请日：2024-01-23
Applicant: Climate LLC
Inventor： Nick Nissing
Abstract: A method for controlling application of agrichemical products, comprises acquiring remotely sensed digital image data; developing a prescription to apply at least one agrichemical product in a variable manner based on at least the digital image data, wherein the prescription describes a plurality of passes of a particular autonomous vehicle over a field to apply the at least one agrichemical product; applying the at least one agrichemical product to a crop in the variable manner by the particular autonomous vehicle according to the prescription.
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公开(公告)号：US12190221B2
公开(公告)日：2025-01-07
申请号：US18358675
申请日：2023-07-25
Applicant: Google LLC
Inventor： Ammar Husain , Joerg Mueller
IPC: G06N3/00 , B25J9/16 , G06N3/008 , G06N20/00 , G06V10/774 , G06V10/776 , G06V20/10 , G06V20/70
Abstract: Implementations set forth herein relate to generating training data, such that each instance of training data includes a corresponding instance of vision data and drivability label(s) for the instance of vision data. A drivability label can be determined using first vision data from a first vision component that is connected to the robot. The drivability label(s) can be generated by processing the first vision data using geometric and/or heuristic methods. Second vision data can be generated using a second vision component of the robot, such as a camera that is connected to the robot. The drivability labels can be correlated to the second vision data and thereafter used to train one or more machine learning models. The trained models can be shared with a robot(s) in furtherance of enabling the robot(s) to determine drivability of areas captured in vision data, which is being collected in real-time using one or more vision components.
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公开(公告)号：US20250005517A1
公开(公告)日：2025-01-02
申请号：US18781684
申请日：2024-07-23
Applicant: Simbe Robotics, Inc.
Inventor： Bradley Bogolea , Durgesh Tiwari , Jariullah Safi , Shiva Reddy , Lorin Vandegrift
IPC: G06Q10/087 , G06T7/00 , G06T7/11 , G06V10/22 , G06V20/00 , G06V20/10 , G06V20/40 , G06V20/52 , G06V30/224
Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot-assigned to a product type-on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.
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25.发明申请
公开(公告)号：US20250000015A1
公开(公告)日：2025-01-02
申请号：US18217296
申请日：2023-06-30
Applicant: Blue River Technology Inc.
Inventor： Benjamin Kahn Cline , Christopher Grant Padwick , Chia-Chun Fu , Olgert Denas
Abstract: A method for calibrating performance characteristics of a farming machine using a performance report is described. The farming machine accesses images of plants in a field captured during the calibration pass. The images are input into a performance model to generate a performance report by identifying plants in the images using a plurality of identification sensitivities and determining expected performance characteristics of the farming machine for each of the identification sensitivities. As such, the performance report includes expected performance characteristics for each identification sensitives. The farming machine accesses a target performance characteristic (e.g., from an operator) for the farming machine corresponding identification sensitivity. Images are input into a plant identification model during a treatment pass which identify a plant in the field using the identification sensitivity corresponding to the target performance characteristic. The farming machine treats the plant in the field using a treatment array of the farming machine.
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公开(公告)号：US12183068B2
公开(公告)日：2024-12-31
申请号：US17519098
申请日：2021-11-04
Applicant: Modern Cleaning Concept L.P.
Inventor： Alejandro Bremer Sada , Daniel Eric Wolfe , Jason Arthur Prizant , Bram Mitchell Lesser , Rajiv Uttamchandani , Christopher Manitt , Claire Robbins , Avi Steinberg
IPC: G06V20/10 , G06F3/04842 , G06V10/22 , G06V10/75
Abstract: Computing platforms and methods are disclosed for verification of cleaning services to be performed in an area to be cleaned. Exemplary implementations may: identify, from among a plurality of cleaning regions relating to the area to be cleaned, a group of designated cleaning regions; randomly generate, with respect to the plurality of cleaning regions, a set of inspection regions; provide a user interface to prompt a user to capture an image of each inspection region; directly capture the images of each inspection region via the user interface; compare the captured images of each inspection region with corresponding reference images to determine whether each of the inspection regions has been properly cleaned; and output an inspection result based on the comparison of the captured images with the corresponding reference images. Implementations provide a method for virtually supervising otherwise unsupervised workers, which increases accountability and generates unprecedented visibility.
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公开(公告)号：US12183067B2
公开(公告)日：2024-12-31
申请号：US17314764
申请日：2021-05-07
Applicant: Hypergiant Industries, Inc.
Inventor： Andrew Thomas Busey , Benjamin Edward Lamm
Abstract: A system for generating a three-dimensional map of earth's surface and identification of objects is disclosed. The system is configured to receive data, from one or more collectors, comprising three-dimensional data generated from radio frequency signals reflected from earth's surface. The system is further configured to generate an initial version of a baseline three-dimensional map of earth's surface, wherein generating the three-dimensional map includes determining, based on the surface data, a presence of surface features in the earth's surface. Anomalies may be detected based on a comparison of subsequently received data and the baseline, with the system determining that a first anomaly matches an object having an object type. Based on this determination, the system may create a data structure indicating an object type and a geographic location of the matched object, wherein the geographic location data is usable to track the matched object during an analysis period.
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公开(公告)号：US12183064B2
公开(公告)日：2024-12-31
申请号：US17224040
申请日：2021-04-06
Applicant: Teledyne FLIR Commercial Systems, Inc.
Abstract: Deep learning inference for imaging systems includes an imaging device comprising an image capture component and a vision processing unit configured to process the image through a first trained inference network to determine a first inference result. A host system trains a neural network for image classification and produces and transmits the first trained inference network to the vision processing unit of the imaging device. The first trained inference network provides stand-alone image classification, an object detection and/or a confidence score to the imaging device. The vision processing unit may further comprise a two or more trained inference networks configured to receive an inference result as an input and output a second inference result. A stereo camera system uses features and/or results from one or more inference network to control processing of three-dimensional data for the detected object.
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公开(公告)号：US12181879B2
公开(公告)日：2024-12-31
申请号：US17224391
申请日：2021-04-07
Applicant: SZ DJI TECHNOLOGY CO., LTD.
Inventor： Cong Zhao , Minjian Pang , Rui Li , You Zhou , Zhe Liu , Guyue Zhou
IPC: H04N23/00 , G01S3/786 , G05D1/00 , G06T7/20 , G06T7/246 , G06T7/70 , G06V20/10 , G06V20/13 , G06V20/17 , H04N23/68 , H04N23/695 , B64U101/31 , H04N23/60
Abstract: A method for controlling target tracking includes determining whether a tracking mode of a movable object is a manual tracking mode or an automatic tracking mode; when it is determined that the tracking mode is the manual tracking mode, determining a target for the movable object from one or more images based on a user input; when it is determined that the tracking mode is the automatic tracking mode, having the movable object determine the target automatically; and directing the movable object to track a target object using the target.
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公开(公告)号：US20240428595A1
公开(公告)日：2024-12-26
申请号：US18826893
申请日：2024-09-06
Applicant: Deere & Company
Inventor： Aaron G. Vesperman , Jeffery J. Adams , Anthony J. Mainelli
Abstract: A row vision system modifies automated operation of a vehicle based on edges detected between surfaces in the environment in which the vehicle travels. The vehicle may be a farming vehicle (e.g., a tractor) that operates using automated steering to perform farming operations that track an edge formed by a row of field work completed next to the unworked field area. A row vision system may access images of the field ahead of the tractor and apply models that identify surface types and detect edges between the identified surfaces (e.g., between worked and unworked ground). Using the detected edges, the system determines navigation instructions that modify the automated steering (e.g., direction) to minimize the error between current and desired headings of the vehicle, enabling the tractor to track the row of crops, edge of field, or edge of field work completed.
