Method and system for tracking workers at worksites

    公开(公告)号:US10565439B2

    公开(公告)日:2020-02-18

    申请号:US15728533

    申请日:2017-10-10

    Abstract: A method for tracking workers at a worksite is disclosed. The method includes acquiring a video of the worksite and detecting a movement of objects in the video. Each object is represented by a plurality of pixels. The method includes identifying an item associated with at least one object by clustering a set of pixels of the plurality of pixels based on a color of the set of pixels. Next, the method includes determining the item as a hard hat based on at least a shape of the set of pixels, and identifying the object as a specific worker based on the color of the set of pixels. The method also includes generating a movement data associated with the specific worker based on a tracking of the hard hat.

    OPTIMIZING LOADING OF A PAYLOAD CARRIER OF A MACHINE

    公开(公告)号:US20200224390A1

    公开(公告)日:2020-07-16

    申请号:US16245829

    申请日:2019-01-11

    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 filtering the image to identify a contour of the loaded material and determining an area of the contour. The method further includes controlling a display device indicate the determined area.

    METHOD AND SYSTEM FOR TRACKING WORKERS AT WORKSITES

    公开(公告)号:US20190108392A1

    公开(公告)日:2019-04-11

    申请号:US15728533

    申请日:2017-10-10

    Abstract: A method for tracking workers at a worksite is disclosed. The method includes acquiring a video of the worksite and detecting a movement of objects in the video. Each object is represented by a plurality of pixels. The method includes identifying an item associated with at least one object by clustering a set of pixels of the plurality of pixels based on a color of the set of pixels. Next, the method includes determining the item as a hard hat based on at least a shape of the set of pixels, and identifying the object as a specific worker based on the color of the set of pixels. The method also includes generating a movement data associated with the specific worker based on a tracking of the hard hat.

    System and method for estimating part wear based on environment

    公开(公告)号:US10109121B2

    公开(公告)日:2018-10-23

    申请号:US15454112

    申请日:2017-03-09

    Abstract: A wear estimation system for a component of a machine includes a geolocation unit, a non-transitory computer-readable medium bearing a component wear estimate program, a controller, and an interface device. The geolocation unit is configured to generate a location signal indicative of a location of the machine. The controller is in operable communication with the geolocation unit to receive the location signal therefrom and is configured to execute the component wear estimate program. The interface device is configured to display a graphical user interface of the component wear estimate program. The component wear estimate program is configured to determine an estimated part life for the component based upon an environmental characteristic of the location; to track an actual usage amount for the component; and to indicate, through the graphical user interface, when the usage amount of the component exceeds a threshold percentage of the estimated part life.

    FATIGUE-BASED TOPOLOGY OPTIMIZATION METHOD AND TOOL
    7.
    发明申请
    FATIGUE-BASED TOPOLOGY OPTIMIZATION METHOD AND TOOL 审中-公开
    基于疲劳的拓扑优化方法和工具

    公开(公告)号:US20140156229A1

    公开(公告)日:2014-06-05

    申请号:US13692268

    申请日:2012-12-03

    CPC classification number: G06F17/5086 G06F2217/08 G06F2217/76

    Abstract: A method for performing fatigue-based topology optimization of a structure on a computational device is provided. The method may include receiving first data pertaining to a problem definition of the structure; generating a density filter; generating interpolation schemes for stiffness, volume and fatigue; generating a global fatigue measure; generating an adaptive normalization scheme; generating a regional fatigue measure; generating second data based on the first data, the density filter, the interpolation schemes, the global fatigue measure, the adaptive normalization scheme and the regional fatigue measure, the second data pertaining to an optimized solution to the problem definition; and displaying the optimized solution at an output device.

    Abstract translation: 提供了一种用于在计算设备上执行结构的基于疲劳的拓扑优化的方法。 该方法可以包括接收关于结构的问题定义的第一数据; 生成密度滤波器; 产生刚度,体积和疲劳的插值方案; 产生全球疲劳措施; 生成自适应归一化方案; 产生区域疲劳措施; 基于第一数据,密度滤波器,插值方案,全局疲劳测量,自适应归一化方案和区域疲劳测量产生第二数据,第二数据与问题定义的优化解相关; 并在输出设备上显示优化的解决方案。

    CALLABORATIVE SYSTEM AND METHOD FOR VALIDATING EQUIPMENT FAILURE MODELS IN AN ANALYTICS CROWDSOURCING ENVIRONMENT

    公开(公告)号:US20210365449A1

    公开(公告)日:2021-11-25

    申请号:US17316978

    申请日:2021-05-11

    Abstract: A method for dynamically creating and validating a predictive analytics model to transform data into actionable insights the method comprising: identifying an event, selectively tagging, based on analytics expertise, at least one time series data area (data area), where the identified event occurred, comparing data area where the identified event is tagged with the data area where the identified event is not tagged, building, based on analytics expertise, the predictive analytics model embodying the classification generated by selective tagging, displaying the visual indicia generated by executing the predictive analytics model, and validating the predictive model based on a feedback from at least one domain expert.

    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.

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