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Patent Agency Ranking
公开(公告)号：US11080566B2
公开(公告)日：2021-08-03
申请号：US16429687
申请日：2019-06-03
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Mohsen Ghazel , Joseph Lam , Qifeng Gan , Kiril Lomakin
Abstract: A method of detecting gaps on a support structure includes: obtaining, at an imaging controller, (i) a plurality of depth measurements representing the support structure according to a common frame of reference, and (ii) a plurality of label indicators each defining a label position in the common frame of reference; for each of the label indicators: classifying the label indicator as either a peg label or a shelf label, based on a portion of the depth measurements selected according to the label position and a portion of the depth measurements adjacent to the label position; generating an item search space in the common frame of reference according to the class of the label indicator; and determining, based on a subset of the depth measurements within the item search space, whether the item search space contains an item.
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公开(公告)号：US11450024B2
公开(公告)日：2022-09-20
申请号：US16932174
申请日：2020-07-17
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Vlad Gorodetsky , Giorgio Gallina , Anshul V. Joshi , Richard Jeffrey Rzeszutek , Joseph Lam
IPC: G06T7/70 , G06T7/73 , G01S17/894 , G06T7/13
Abstract: A method includes obtaining a point cloud captured by a depth sensor, and image data captured by an image sensor, the point cloud and the image data representing a support structure bearing a set of objects; obtaining an image boundary corresponding to an object from the set of objects; determining a portion of the point cloud corresponding to the image boundary; selecting, from the determined portion, a subset of points corresponding to a forward surface of the object; and generating a three-dimensional position of the object based on the forward surface.
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公开(公告)号：US11107238B2
公开(公告)日：2021-08-31
申请号：US16713508
申请日：2019-12-13
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Eyal Braunstain , Michael A. Greenspan , Joseph Lam
Abstract: A method by an imaging controller of detecting item facings from image sensor data includes: obtaining, at the imaging controller, the image sensor data corresponding to a support structure containing at least one item; identifying, by a feature detector of the imaging controller, a set of matched keypoint pairs from keypoints of the image sensor data; determining, by a peak detector of the imaging controller, a separation distance between the keypoints of each matched keypoint pair; detecting, by the peak detector, a count of item instances represented in the image sensor data based on the separation distances; and presenting item facing detection output including the count of item instances.
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公开(公告)号：US11100303B2
公开(公告)日：2021-08-24
申请号：US16214752
申请日：2018-12-10
Applicant: Zebra Technologies Corporation
Inventor： Shoja Ghiass Reza , Joseph Lam
Abstract: A method of auxiliary label detection includes: at an imaging controller, obtaining (i) an image of a support structure and (ii) a plurality of primary label indicators each defining a position of a primary label within the image; at the imaging controller, selecting a detection region from the image based on a reference indicator; at the imaging controller, detecting an auxiliary label within the detection region based on predefined visual attributes of the auxiliary label; at the imaging controller, selecting one of the primary label indicators based on proximity between the auxiliary label and the selected primary label indicator; updating the selected primary label indicator with an identifier of the auxiliary label; and storing the updated primary label indicator in a memory.
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公开(公告)号：US20210183095A1
公开(公告)日：2021-06-17
申请号：US16713508
申请日：2019-12-13
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Eyal Braunstain , Michael A. Greenspan , Joseph Lam
Abstract: A method by an imaging controller of detecting item facings from image sensor data includes: obtaining, at the imaging controller, the image sensor data corresponding to a support structure containing at least one item; identifying, by a feature detector of the imaging controller, a set of matched keypoint pairs from keypoints of the image sensor data; determining, by a peak detector of the imaging controller, a separation distance between the keypoints of each matched keypoint pair; detecting, by the peak detector, a count of item instances represented in the image sensor data based on the separation distances; and presenting item facing detection output including the count of item instances.
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