Determining payload carrier volume using a neural network

    公开(公告)号:US10832435B1

    公开(公告)日:2020-11-10

    申请号:US16396238

    申请日:2019-04-26

    Abstract: A method for loading a payload carrier of a machine includes receiving, from a camera on the machine, a two-dimensional image of an interior of the payload carrier as material is loaded into the payload carrier. The method further includes sectioning the two-dimensional image into a plurality of regions, and determining, for individual of the regions, whether the region includes a representative of fill material. The method may also include determining a fill volume based on the regions having fill and those not having fill.

    DETERMINING PAYLOAD CARRIER VOLUME USING A NEURAL NETWORK

    公开(公告)号:US20200342616A1

    公开(公告)日:2020-10-29

    申请号:US16396238

    申请日:2019-04-26

    Abstract: A method for loading a payload carrier of a machine includes receiving, from a camera on the machine, a two-dimensional image of an interior of the payload carrier as material is loaded into the payload carrier. The method further includes sectioning the two-dimensional image into a plurality of regions, and determining, for individual of the regions, whether the region includes a representative of fill material. The method may also include determining a fill volume based on the regions having fill and those not having fill.

    GROUND ENGAGING TOOL WEAR AND LOSS DETECTION SYSTEM AND METHOD

    公开(公告)号:US20220383469A1

    公开(公告)日:2022-12-01

    申请号:US17335835

    申请日:2021-06-01

    Abstract: An example wear detection system receives first imaging data from one or more sensors associated with a work machine. The first imaging data comprises data related to at least one ground engaging tool (GET) of the work machine. The example system identifies a region of interest including data of the at least one GET within the first imaging data. Based on the identified region of interest, the example system controls a LiDAR sensor to capture second imaging data capturing the at least one GET that is of higher resolution than the first imaging data. The example system generates a three-dimensional point cloud of the at least one GET based on the second imaging data and determines a wear level or loss for the at least one GET based on the three-dimensional point cloud.

    MOUNTING SYSTEM FOR WORK MACHINE
    9.
    发明公开

    公开(公告)号:US20230399820A1

    公开(公告)日:2023-12-14

    申请号:US17806106

    申请日:2022-06-09

    CPC classification number: E02F9/264 F16M13/02

    Abstract: A mounting system for a work machine includes a first member extending along a vertical axis of the mounting system, and a second member extending along the vertical axis and spaced apart from the first member along a lateral axis of the mounting system. The mounting system also includes a bracket assembly extending between the first member and the second member. The bracket assembly is disposable at a location along the vertical axis based on a removable coupling of the bracket assembly with each of the first member and the second member. The mounting system further includes an imaging device coupled with the bracket assembly. A position of the imaging device is adjustable with respect to the lateral axis of the mounting system and the vertical axis, such that a portion of a work implement of the work machine lies in a field of view of the imaging device.

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