公开(公告)号：US20230169452A1

公开(公告)日：2023-06-01

申请号：US17538183

申请日：2021-11-30

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Alessandro Bay ,  Andrea Mirabile ,  Stuart Peter Hubbard ,  Ankit Kumar ,  Samadhi Poornima Kumarasinghe Wickrama Arachchilage ,  Eunhyang Kim ,  Matthew B. Hayes ,  Michele Taroni

IPC: G06Q10/08 ,  G06K7/14 ,  G06K7/10 ,  G06N20/00

CPC classification number: G06Q10/087 ,  G06K7/1413 ,  G06K7/1447 ,  G06K7/10861 ,  G06N20/00

Abstract: In some implementations, a system may receive, from a barcode reader, read data associated with the barcode reader reading a barcode associated with a product. The system may receive, from an imager, image data associated with an image that depicts packaging of the product. The system may decode the read data to obtain product information that is associated with the product. The system may generate a product entry that associates the product information with the image data. The system may perform an action associated with the product entry to enable an image processing model to identify the product information based on the packaging depicted in the image.

公开(公告)号：US20240289604A1

公开(公告)日：2024-08-29

申请号：US18114777

申请日：2023-02-27

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Anatoly Kotlarsky ,  Andrea Mirabile ,  Francesco Lupo ,  Miroslav Trajkovic

IPC: G06N3/08 ,  G06K7/14

CPC classification number: G06N3/08 ,  G06K7/1413

Abstract: A method includes: capturing, by a scanner device comprising an image sensor, first image data representing at least a portion of a first item; decoding, by the scanner device, a first barcode represented in the first image data; determining a first item template associated with the first barcode, the first item template comprising first identifier data identifying the first item from among other items and first region-of-interest data specifying a first region-of-interest of the first item; generating second image data comprising the first region-of-interest of the first image data; determining, by a first machine learning model, that the second image data corresponds to the first identifier data identifying the first item; and generating first data indicating that the first barcode is matched with the first item.

公开(公告)号：US11954882B2

公开(公告)日：2024-04-09

申请号：US17350929

申请日：2021-06-17

Applicant: Zebra Technologies Corporation

Inventor： Patrenahalli M. Narendra ,  Joseph R. White ,  Andrea Mirabile

IPC: G06T7/73 ,  G06F18/22 ,  G06T7/00 ,  G06V20/30

CPC classification number: G06T7/73 ,  G06F18/22 ,  G06T7/001 ,  G06V20/30 ,  G06T2207/30128 ,  G06T2207/30244

Abstract: A method in a computing device includes: in a facility containing a plurality of support structures, capturing an image of a first support structure; detecting, in the image, a first feature set of the first support structure; selecting obtaining at least one reference feature set by proximity to an estimated location of the mobile computing device in the facility coordinate system, the at least one reference feature set selected from a repository defining feature locations for each of the support structures in a facility coordinate system; comparing the first feature set with the at least one reference feature set; and in response to determining that the first feature set matches the at least one reference feature set, determining a location of the mobile computing device in the facility coordinate system based on the image and the feature locations from the repository.

公开(公告)号：US11922268B1

公开(公告)日：2024-03-05

申请号：US18103712

申请日：2023-01-31

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Francesco Lupo ,  Alessandro Bay ,  Andrea Mirabile

IPC: G06K7/14

CPC classification number: G06K7/1413

Abstract: Systems and methods for enhancing decoding of indicia are disclosed herein. An example implementation includes: generating a visual embedding from image data; identifying, in the image data, a partial indicia and decoding the partial indicia to determine at least a partial payload; responsive to the at least partial payload not being a full payload, determining one or more candidate visual embeddings corresponding to the partial payload; comparing the one or more candidate visual embeddings to the visual embedding generated from the image data and assigning a correspondence score for each of the one or more candidate visual embeddings based on the comparison; and determining a recommendation based on the correspondence score for each of the one or more candidate visual embeddings.

公开(公告)号：US20230368366A1

公开(公告)日：2023-11-16

申请号：US17742897

申请日：2022-05-12

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Andrea Mirabile ,  Sam Leitch ,  Carl ZB. Mower

IPC: G06T7/00 ,  G06T7/13

CPC classification number: G06T7/001 ,  G06T7/13

Abstract: A method in a computing device of detecting boundary deformation for an item includes: obtaining a current image of the item; obtaining, from the current image, a current attribute of a boundary of the item; retrieving a reference attribute of the item boundary, the reference attribute corresponding to the item in an initial state; comparing the current attribute to the reference attribute; determining, based on the comparison, whether the item boundary is deformed relative to the initial state of the item; and when the item boundary is deformed, generating an exception notification.

公开(公告)号：US20230169441A1

公开(公告)日：2023-06-01

申请号：US17538009

申请日：2021-11-30

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Andre Luecht ,  Andrea Mirabile ,  Michele Taroni ,  Chad E. Tripp

IPC: G06Q10/08 ,  G06F16/583 ,  G06V10/22

CPC classification number: G06Q10/08 ,  G06F16/583 ,  G06V10/23

Abstract: Systems and methods for lost asset management using photo-matching are disclosed herein. An example method includes capturing a lost asset image corresponding to a lost asset, and generating, by a feature extractor model, a lost asset descriptor that represents features of the lost asset image. The example method also includes storing the lost asset descriptor and the lost asset image in an asset database that includes known asset descriptors, and performing, by a visual search engine, a nearest neighbor search within the asset database to determine a respective metric distance between the lost asset descriptor and the known asset descriptors. The example method also includes determining, by the visual search engine, a ranked list of known assets corresponding to the lost asset, and displaying, at a user interface, the ranked list of known assets for viewing by a user.

公开(公告)号：US12254709B2

公开(公告)日：2025-03-18

申请号：US17683134

申请日：2022-02-28

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Andrea Bordone Molini ,  Francesco Lupo ,  Andrea Mirabile

IPC: G06V20/68 ,  G06Q20/20 ,  G06V10/20 ,  G06V10/764 ,  G06V10/82

Abstract: A controller using image processing to identify produce is disclosed herein. The controller may include one or more memories and one or more processors communicatively coupled to the one or more memories. In some implementations, a controller may receive a trigger associated with presence of an item at a product processing zone. The controller may capture, via an imager, an image representing the item. Accordingly, the controller may apply a first convolutional neural network (CNN) to the image to determine a bounding box associated with the item. The controller may determine that the item within the bounding box satisfies an occlusion threshold and may apply a second CNN to the image to determine a query image representation. Accordingly, the controller may receive, from a database, an indication of one or more candidate items based on the query image representation and indicate, via a user interface, the candidate item(s).

公开(公告)号：US12039398B1

公开(公告)日：2024-07-16

申请号：US18114891

申请日：2023-02-27

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Anatoly Kotlarsky ,  Christopher W. Brock ,  Andrea Mirabile ,  Francesco Lupo ,  Miroslav Trajkovic

IPC: G06K7/10 ,  G06K7/14

CPC classification number: G06K7/10722 ,  G06K7/1413

Abstract: A method includes: capturing, by a scanner device comprising an image sensor, first image data representing at least a portion of a first item; detecting, by the scanner device, a first barcode represented in the first image data; decoding the first barcode to determine first identifier data for the first item; performing a lookup using the first identifier data to determine a first entry for the first item stored in a data store; generating a sub-image representing a region-of-interest of the first item; generating, using an image encoder, a first vector representation of the sub-image; comparing the first vector representation of the sub-image to at least one second vector representation stored in the data store in association with the first entry; and generating first data indicating that the first barcode is matched with the first item.

公开(公告)号：US20240177345A1

公开(公告)日：2024-05-30

申请号：US18072534

申请日：2022-11-30

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Charles Burton Swope ,  Matthew B. Hayes ,  Andrea Mirabile

IPC: G06T7/80 ,  G06Q20/20 ,  H04N23/56 ,  H04N23/66 ,  H04N23/90

CPC classification number: G06T7/80 ,  G06Q20/203 ,  H04N23/56 ,  H04N23/66 ,  H04N23/90

Abstract: Systems and methods for calibrating a camera using a calibration system are provided. The calibration system includes a mat, a camera, and a controller. The systems and methods include the controller configuring the mat to operation in an illumination mode in which the mat energizes one or more LEDs to form an illumination pattern. The controller receives image data generated by the camera that features the illumination pattern. The controller analyzes the image data to derive heading data for the camera and sets the camera heading data to be the derived heading data.

公开(公告)号：US20240165803A1

公开(公告)日：2024-05-23

申请号：US17992742

申请日：2022-11-22

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Alessandro Bay ,  Andrea Mirabile

IPC: B25J9/16 ,  G05B19/4155

CPC classification number: B25J9/1661 ,  B25J9/1682 ,  G05B19/4155 ,  G05B2219/50391

Abstract: Disclosed is a robot management system comprising a control circuit configured to receive data indicative of a worker task being completed by a human from a human task management system coupled to the robot management system, generate a new robot task based on the data, add the new robot task to a robot task queue, detect an available robot, determine capabilities of the available robot, and filter the robot task queue based on the capabilities of the available robot to generate a group of robot tasks, the group being a subset of the robot task queue and each task in the group can be performed by the available robot. The control circuit is further configured to determine a priority group comprising a priority for the available robot for each task in the group and assign a robot task from the group to the available robot based on the priority group.