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公开(公告)号:US20200128226A1
公开(公告)日:2020-04-23
申请号:US16168545
申请日:2018-10-23
Applicant: Zebra Technologies Corporation
Inventor: Adithya H. Krishnamurthy , Justin F. Barish
IPC: H04N13/271 , G06T15/00 , B62D63/08 , H04N13/189 , G06Q10/08
Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for analyzing idle time duration in a storage area. A 3D-depth camera non-concurrently captures frames having respective 3D image datasets. A 3D data analytics application maintains a plurality of records including a first record, associated with a 3D image dataset of a least-recent frame in a series of frames; a third record, associated with a 3D image dataset of a most-recent frame in the series of frames; and a second record, associated with a 3D image dataset of an intermediate frame captured between the least-recent frame and the most-recent frame. Based on comparisons of the first, second, and third records, an activity status type is determined defining an activity occurring within the storage area during a particular time segment. A cumulative idle time duration is incremented based on the activity status type having a non-loading status type.
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公开(公告)号:US20240292091A1
公开(公告)日:2024-08-29
申请号:US18115652
申请日:2023-02-28
Applicant: ZEBRA TECHNOLOGIES CORPORATION
CPC classification number: H04N23/64 , G06T7/0004 , H04N5/265 , H04N23/61 , G06T2200/24 , G06T2207/20212
Abstract: Automatic grouping in machine vision systems is provided via identifying first and second cameras of a plurality of cameras associated with a machine vision system; displaying, in a graphical user interface, a proposal to operate the first and second cameras as a virtual device in performing a job in the machine vision system using the first and second cameras; and in response to receiving confirmation of the proposal: creating the job in the machine vision system; receiving a first analysis image from the first camera and a second analysis image from the second camera; combining the first analysis image and the second analysis image into a combined image; executing the job on the combined image; and rendering an outcome based on an analysis of the combined image according to the job.
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13.
公开(公告)号:US11715235B2
公开(公告)日:2023-08-01
申请号:US17067023
申请日:2020-10-09
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor: Justin F. Barish , Adithya H. Krishnamurthy
CPC classification number: G06T7/80 , G01C9/06 , G06T7/70 , H04N7/183 , G01C2009/066 , G06T2207/30244
Abstract: An example trailer monitoring system includes a trailer monitoring unit (TMU) that has an image capture arrangement disposed within the TMU, the image capture arrangement to capture first image data, and an accelerometer carried by the TMU, the accelerometer to generate acceleration data of the TMU. The system also has one or more processors configured to access the acceleration data and configured to compare the acceleration data to a reference acceleration data range to determine if the acceleration data is within the reference acceleration range, in response to the acceleration data being outside the reference acceleration data range, the one or more processors are to record an impact event associated with the TMU being impacted, and in response to the acceleration data being outside the reference acceleration data range, the one or more processors are to generate a message associated with the impact event.
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公开(公告)号:US11443449B2
公开(公告)日:2022-09-13
申请号:US16801792
申请日:2020-02-26
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor: Adithya H. Krishnamurthy , Justin F. Barish , Miroslav Trajkovic
Abstract: Three-dimensional (3D) imaging systems and methods are described for implementing virtual grading of package walls in commercial trailer loading. The 3D imaging systems and methods comprise capturing, by a 3D-depth camera, 3D image data of a vehicle storage area. A package wall is determined, based on the set of 3D image data and by a 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera, a package wall within the vehicle storage area. A wall grade is assigned to the package wall, where the package wall is defined within the set of 3D image data by a plurality of packages each having a similar depth dimension, and wherein the package wall has a wall height.
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15.
公开(公告)号:US11430104B2
公开(公告)日:2022-08-30
申请号:US16795243
申请日:2020-02-19
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor: Justin F. Barish , Adithya H. Krishnamurthy
Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for detecting and dimensioning a vehicle storage area. A 3D-depth camera captures 3D image data comprising one or more 3D image datasets of the vehicle storage area during corresponding one or more image capture iterations. A 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera and for each one or more image capture iterations, updates a number of planar regions detected within the one or more 3D image datasets. The 3D data analytics app further assigns a vehicle storage area type to the vehicle storage area based on the number of planar regions detected by the 3D analytics app over the one or more image capture iterations.
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公开(公告)号:US20210304414A1
公开(公告)日:2021-09-30
申请号:US16828692
申请日:2020-03-24
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor: Justin F. Barish , Adithya H. Krishnamurthy
IPC: G06T7/12
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.
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17.
公开(公告)号:US20210027495A1
公开(公告)日:2021-01-28
申请号:US17067023
申请日:2020-10-09
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor: Justin F. Barish , Adithya H. Krishnamurthy
Abstract: An example trailer monitoring system includes a trailer monitoring unit (TMU) that has an image capture arrangement disposed within the TMU, the image capture arrangement to capture first image data, and an accelerometer carried by the TMU, the accelerometer to generate acceleration data of the TMU. The system also has one or more processors configured to access the acceleration data and configured to compare the acceleration data to a reference acceleration data range to determine if the acceleration data is within the reference acceleration range, in response to the acceleration data being outside the reference acceleration data range, the one or more processors are to record an impact event associated with the TMU being impacted, and in response to the acceleration data being outside the reference acceleration data range, the one or more processors are to generate a message associated with the impact event.
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公开(公告)号:US10803620B2
公开(公告)日:2020-10-13
申请号:US16217837
申请日:2018-12-12
Applicant: Zebra Technologies Corporation
Inventor: Justin F. Barish , Adithya H. Krishnamurthy
Abstract: An example trailer monitoring system includes a trailer monitoring unit including an image capture arrangement disposed within the trailer monitoring unit to capture first image data. An accelerometer is carried by the trailer monitoring unit is to generate acceleration data of the trailer monitoring unit. The trailer monitoring system also includes one or more processors configured to access the acceleration data and configured to compare the acceleration data to a reference acceleration data range to determine if the acceleration data is within the reference acceleration range. In response to the acceleration data being outside the reference acceleration data range, the one or more processors are to increase a tally of impact events associated with the trailer monitoring unit being impacted. In response to the tally satisfying a threshold, the one or more processors are to generate an alert indicative of the trailer monitoring unit requiring maintenance.
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公开(公告)号:US10687045B2
公开(公告)日:2020-06-16
申请号:US16168545
申请日:2018-10-23
Applicant: Zebra Technologies Corporation
Inventor: Adithya H. Krishnamurthy , Justin F. Barish
IPC: H04N13/271 , G06Q10/08 , B65G67/02 , G06T15/00 , H04N13/189 , B62D63/08 , B65G67/24 , B65G67/04 , G08B13/194
Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for analyzing idle time duration in a storage area. A 3D-depth camera non-concurrently captures frames having respective 3D image datasets. A 3D data analytics application maintains a plurality of records including a first record, associated with a 3D image dataset of a least-recent frame in a series of frames; a third record, associated with a 3D image dataset of a most-recent frame in the series of frames; and a second record, associated with a 3D image dataset of an intermediate frame captured between the least-recent frame and the most-recent frame. Based on comparisons of the first, second, and third records, an activity status type is determined defining an activity occurring within the storage area during a particular time segment. A cumulative idle time duration is incremented based on the activity status type having a non-loading status type.
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公开(公告)号:US12211001B2
公开(公告)日:2025-01-28
申请号:US17491374
申请日:2021-09-30
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor: Adithya H. Krishnamurthy , Miroslav Trajkovic , Justin F. Barish
IPC: B65G67/20 , G05B19/418 , G06Q10/087 , B65G69/28
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.
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