System and method for detecting and confirming fall events

    公开(公告)号:US12080141B2

    公开(公告)日:2024-09-03

    申请号:US18070750

    申请日:2022-11-29

    CPC classification number: G08B21/0476

    Abstract: An example server includes a memory configured to store sensor data from a plurality of sensors in a facility; a communications interface; and a processor interconnected with the memory and the communications interface, the processor configured to: in response to receiving, via the communications interface, an event indicator from a source sensor of a client device: identify a subset of the plurality of sensors based on the event indicator; retrieve and correlate the sensor data from the identified subset of the plurality of sensors in the facility; detect a candidate event associated with a user of the client device from the correlated sensor data; and when the candidate event is detected, send an event notification to the client device.

    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.

    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.

    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.

    System and method for robust depth calculation with ToF sensors using multiple exposure times

    公开(公告)号:US10977813B2

    公开(公告)日:2021-04-13

    申请号:US16537294

    申请日:2019-08-09

    Abstract: A system and method for performing robust depth calculations with time of flight (ToF) sensors using multiple exposure times is disclosed. A three-dimensional (3D) depth sensor assembly captures a first array of n point values, where each point value of the first array has a respective first-array depth component and a respective first-array quality component. The 3D depth sensor assembly then captures a second array of n point values, where each point value of the second array has a respective second-array depth component and a respective second-array quality component. A processor then renders a 3D point cloud comprising a third array of n point values, where each point value of the third array has a respective third-array depth component. The respective third-array depth component for each point value of the third array is based on either the corresponding respective first-array depth component or the corresponding respective second-array depth component.

    System and method for detecting a presence or absence of objects in a trailer

    公开(公告)号:US10922830B2

    公开(公告)日:2021-02-16

    申请号:US16225802

    申请日:2018-12-19

    Abstract: A system and method for detecting a presence or absence of objects in a trailer are described. A 3D depth-camera is oriented to capture a 3D image. The 3D image includes a plurality of 3D point data defining a portion of a wall, floor, and top of a trailer. The plurality of 3D point data is then analyzed to determine a first, second, and third sub-plurality of points, associated with the portion of the wall, floor, and top, respectively. The first, second, and third sub-pluralities are then removed from the plurality of points to obtain a modified plurality of points, representing a modified 3D image. The modified 3D image is then segmented into a plurality of bins, and the plurality of bins are analyzed to determine one or more points-bin values. A communication is then provided based on whether any of the points-bin values exceeds a threshold value.

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