Three-dimensional (3D) imaging systems and methods for determining vehicle storage areas and vehicle door statuses

    公开(公告)号:US11125598B1

    公开(公告)日:2021-09-21

    申请号:US16856993

    申请日:2020-04-23

    Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for determining vehicle storage areas and vehicle door statuses. A 3D-depth camera captures 3D image data of one or more vehicle storage areas. A 3D data analytics application (app) analyzes a first 3D image dataset of the 3D image data to determine a first depth measurement corresponding to a first vehicle storage area. The 3D data analytics app further analyzes a second 3D image dataset of the 3D image data to determine a second depth measurement. The 3D data analytics app detects a depth-change event based on the second depth measurement differing from the first depth measurement by more than a predefined depth-change threshold value. The 3D analytics app assigns, based on the depth-change event, an open door status to a new second vehicle storage area and a closed door status to the previous first vehicle storage area.

    USE OF DISTANCE MEASUREMENT TO AID IN VISION APPLICATIONS IN HANDHELD SCANNER DEVICES

    公开(公告)号:US20240289569A1

    公开(公告)日:2024-08-29

    申请号:US18113757

    申请日:2023-02-24

    Abstract: Imaging devices, systems, and methods for capturing and processing images for vision applications in a non-fixed environment are described herein. An example device includes: a housing, a depth sensor operable to detect that an object in a range field of view is within a predetermined range from the device, an imaging sensor operable to capture images of an object, and one or more processors that: detect that the object is within the predetermined range in the range FOV; identify a first subset of images in a plurality of images captured by the imaging sensor for generating an identity for the object; and attempt to perform, using a second subset of images in the plurality of images, a decode event for an indicia associated with the object, the indicia visible in the imaging FOV for the second subset of images.

    Systems and Methods for Encoding Hardware-Calculated Metadata into Raw Images for Transfer and Storage and Imaging Devices

    公开(公告)号:US20240005117A1

    公开(公告)日:2024-01-04

    申请号:US17853696

    申请日:2022-06-29

    Inventor: Justin F. Barish

    CPC classification number: G06K7/1495 G06T9/00

    Abstract: Systems and methods for encoding metadata in image data captured by an imaging device, such as a barcode device or machine vision device, are provided. An example method includes analyzing raw image data at a front-end applicant specific integrated circuit to determine image metadata for each of a plurality of different pixel groupings collectively forming the raw image data. A least significant bit process is then used to encode the metadata into the image data, in a manner visually hidden from a user. A host processor receives the encoded image data, decodes the image metadata and uses that to process the image data, for example, performing barcode decoding or machine vision processes.

    Container Load Performance Metric Aggregation

    公开(公告)号:US20230112116A1

    公开(公告)日:2023-04-13

    申请号:US17491374

    申请日:2021-09-30

    Abstract: An example method includes: during a container load process, controlling a sensor assembly to capture sensor data depicting a container interior; detecting, from the sensor data, items in the container interior; determining, based on the detected items, first and second load process metrics associated with first and second targets; generating first and second normalized metrics based on the first and second load process metrics, and the first and second targets; obtaining a first weighting factor associated with the first load process metric, and a second weighting factor associated with the second load process metric; combining the first normalized metric and the first weighting factor, with the second normalized metric and the second weighting factor, to generate an aggregated load process metric; and transmitting a control command according to the aggregated load process metric; and rendering, at an indicator device, a load process state indicator according to the control command.

    Container Fullness Tracking Method and Systems

    公开(公告)号:US20230044858A1

    公开(公告)日:2023-02-09

    申请号:US17395073

    申请日:2021-08-05

    Inventor: Justin F. Barish

    Abstract: A method includes: generating a three-dimensional grid of cells representing respective portions of an interior of a container, each cell having a status indicator defining an occupancy state of the corresponding portion of the container interior; during loading of the container: maintaining, for each of the cells, a current status indicator, controlling a depth sensor to capture a sequence of point clouds, each point cloud depicting the container interior, in response to each point cloud capture in the sequence, generating updated status indicators for the cells, based on (i) the point cloud, and on (ii) the current status indicators, replacing the current status indicators with the updated status indicators, measuring a current fullness of the container based on the current status indicators, and transmitting the current fullness to a computing device for at least one of display of the current fullness, or alert generation associated with the current fullness.

    Methods for unit load device (ULD) door tarp detection

    公开(公告)号:US11475574B2

    公开(公告)日:2022-10-18

    申请号:US16828692

    申请日:2020-03-24

    Abstract: Methods for determining a unit load device (ULD) door status are disclosed herein. An example method includes capturing a set of image data featuring the ULD. The example method further includes segmenting the set of image data to identify a top portion of the ULD, and determining an amplitude of the top portion of the ULD. The example method further includes determining the ULD door status based on whether the amplitude of the top portion of the ULD exceeds an amplitude threshold.

    Systems and methods for fast autotuning of industrial fixed vision cameras

    公开(公告)号:US11438518B1

    公开(公告)日:2022-09-06

    申请号:US17246343

    申请日:2021-04-30

    Abstract: Systems and methods for fast autotuning of industrial fixed vision cameras are disclosed herein. An example method includes modifying illumination settings of a camera until a brightness value for captured image data reaches a minimum value; modifying a focus level of the camera to determine a range of camera focus levels for successfully decoding barcodes; configuring the camera to operate using a midpoint focus value of the range; modifying illumination settings of the camera until the brightness associated with the captured image data reaches an optimal value; and modifying the focus level of the camera, within the range, to determine an optimal focus level at which sharpness for the captured image is optimized; and capturing, by the camera, operating at the determined optimal focus level and with illumination settings for the optimal threshold brightness value, image data associated with a new target object affixed with a new barcode.

    Methods for Unit Load Device (ULD) Localization

    公开(公告)号:US20210233249A1

    公开(公告)日:2021-07-29

    申请号:US16773506

    申请日:2020-01-27

    Inventor: Justin F. Barish

    Abstract: Methods for unit loading device (ULD) localization are disclosed herein. An example method includes capturing a set of image data featuring the ULD. The example method further includes cropping the set of image data to generate a cropped image. The cropped image features a portion of the ULD. The example method further includes determining one or more candidate edges of the portion of the ULD within the cropped image. The example method further includes identifying one or more edges of the portion of the ULD from the one or more candidate edges, wherein each of the one or more edges represents a boundary of the portion of the ULD.

    THREE-DIMENSIONAL (3D) DEPTH IMAGING SYSTEMS AND METHODS FOR AUTOMATICALLY DETERMINING SHIPPING CONTAINER FULLNESS BASED ON IMAGING TEMPLATES

    公开(公告)号:US20210125363A1

    公开(公告)日:2021-04-29

    申请号:US16664428

    申请日:2019-10-25

    Inventor: Justin F. Barish

    Abstract: Three-dimensional (3D) depth imaging systems and methods are disclosed for automatically determining shipping container fullness based on imaging templates. A 3D-depth camera captures 3D image data of a shipping container located in a predefined search space during a shipping container loading session. A container fullness application (app) receives the 3D image data, and determines therefrom a 3D container point cloud representative of a shipping container. An imaging template that defines a 3D template point cloud corresponding to a shipping container type of the shipping container is loaded into memory. A fullness value of the shipping container is determined based on a 3D mapping that is generated from alignment of a 3D container front portion of the 3D container point cloud with a 3D template front portion of the 3D template point cloud.

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