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    METHOD AND APPARATUS FOR IDENTIFYING FRAGMENTED MATERIAL PORTIONS WITHIN AN IMAGE
    1.
    发明申请
    METHOD AND APPARATUS FOR IDENTIFYING FRAGMENTED MATERIAL PORTIONS WITHIN AN IMAGE 审中-公开
    用于识别图像中的碎片材料部分的方法和设备

    公开(公告)号：WO2017100903A1

    公开(公告)日：2017-06-22

    申请号：PCT/CA2016/000317

    申请日：2016-12-13

    Applicant: MOTION METRICS INTERNATIONAL CORP.

    Inventor： TAFAZOLI BILANDI, Shahram ,  RAMEZANI, Mahdi ,  BELL, Ian Law ,  SAMETI, Mohammad ,  ABOLMAESUMI, Purang ,  NOURANIAN, Saman

    IPC: G06T1/40 ,  G01B11/22 ,  G01J1/42 ,  G01J5/10 ,  G06T7/13

    CPC classification number: G06K9/6274 ,  G06K9/342 ,  G06K9/4628

    Abstract: A method and apparatus for processing an image of fragmented material to identify fragmented material portions within the image is disclosed. The method involves receiving pixel data associated with an input plurality of pixels representing the image of the fragmented material. The method also involves processing the pixel data using a convolutional neural network, the convolutional neural network having a plurality of layers and producing a pixel classification output indicating whether pixels in the input plurality of pixels are located at one of an edge of a fragmented material portion, inwardly from the edge, and at interstices between fragmented material portions. The convolutional neural network includes at least one convolution layer configured to produce a convolution of the input plurality of pixels, the convolutional neural network having been previously trained using a plurality of training images including previously identified fragmented material portions. The method further involves processing the pixel classification output to associate identified edges with fragmented material portions.

    Abstract translation: 公开了一种用于处理碎片材料的图像以识别图像内的碎片材料部分的方法和设备。 该方法包括接收与代表片段化材料的图像的输入多个像素相关联的像素数据。 该方法还涉及使用卷积神经网络处理像素数据，该卷积神经网络具有多个层并且产生指示输入的多个像素中的像素是否位于碎片材料部分的边缘中的一个处的像素分类输出 ，从边缘向内，并在碎片材料部分之间的空隙处。 卷积神经网络包括至少一个卷积层，其被配置为产生输入多个像素的卷积，卷积神经网络先前已经使用包括先前识别的碎片材料部分的多个训练图像进行训练。 该方法进一步涉及处理像素分类输出以将识别的边缘与碎片材料部分相关联。

    METHOD AND APPARATUS FOR IDENTIFYING FRAGMENTED MATERIAL PORTIONS WITHIN AN IMAGE
    2.
    发明申请
    METHOD AND APPARATUS FOR IDENTIFYING FRAGMENTED MATERIAL PORTIONS WITHIN AN IMAGE 审中-公开

    公开(公告)号：WO2017100903A9

    公开(公告)日：2017-06-22

    申请号：PCT/CA2016/000317

    申请日：2016-12-13

    Applicant: MOTION METRICS INTERNATIONAL CORP.

    Inventor： TAFAZOLI BILANDI, Shahram ,  RAMEZANI, Mahdi ,  BELL, Ian Law ,  SAMETI, Mohammad ,  ABOLMAESUMI, Purang ,  NOURANIAN, Saman

    IPC: G06T1/40 ,  G01B11/22 ,  G01J1/42 ,  G01J5/10 ,  G06T7/13

    Abstract: A method and apparatus for processing an image of fragmented material to identify fragmented material portions within the image is disclosed. The method involves receiving pixel data associated with an input plurality of pixels representing the image of the fragmented material. The method also involves processing the pixel data using a convolutional neural network, the convolutional neural network having a plurality of layers and producing a pixel classification output indicating whether pixels in the input plurality of pixels are located at one of an edge of a fragmented material portion, inwardly from the edge, and at interstices between fragmented material portions. The convolutional neural network includes at least one convolution layer configured to produce a convolution of the input plurality of pixels, the convolutional neural network having been previously trained using a plurality of training images including previously identified fragmented material portions. The method further involves processing the pixel classification output to associate identified edges with fragmented material portions.

    METHOD, APPARATUS AND SYSTEM FOR MONITORING A CONDITION ASSOCIATED WITH OPERATING HEAVY EQUIPMENT SUCH AS A MINING SHOVEL OR EXCAVATOR
    5.
    发明申请
    METHOD, APPARATUS AND SYSTEM FOR MONITORING A CONDITION ASSOCIATED WITH OPERATING HEAVY EQUIPMENT SUCH AS A MINING SHOVEL OR EXCAVATOR 审中-公开

    公开(公告)号：WO2019227194A1

    公开(公告)日：2019-12-05

    申请号：PCT/CA2018/000108

    申请日：2018-06-01

    Applicant: MOTION METRICS INTERNATIONAL CORP.

    Inventor： TAFAZOLI BILANDI, Shahram ,  RAMEZANI, Mahdi ,  NOURANIAN, Saman ,  SMITH, Kenneth ,  GHAVIDEL, Sahar ,  SAMETI, Mohammad

    IPC: E02F9/26 ,  G06N3/02 ,  G06N3/08 ,  G06T7/00

    Abstract: A computer processor implemented method and system for monitoring a condition associated with operating heavy equipment is disclosed. The method involves receiving a plurality of images at an interface of an embedded processor disposed on the heavy equipment, the images providing a view of at least an operating implement of the heavy equipment. The method also involves processing each of the plurality of images using a first neural network implemented on the embedded processor, the first neural network having been previously trained to identify regions of interest within the image. Each region of interest has an associated designation as at least one of a critical region suitable for extraction of critical operating condition information required for operation of the heavy equipment, and a non-critical region suitable for extraction of non-critical operating condition information associated with the operation of the heavy equipment. The method further involves causing the embedded processor to initiate further processing of image data associated with critical regions to generate local output operable to alert an operator of the heavy equipment of the associated critical operating condition. The method also involves transmitting image data associated with non-critical regions to a remote processor, the remote processor being operably configured for further processing of the image data and to generate output signals representing results of the further processing. The method further involves receiving the output signals generated by the remote processor at one of the embedded processor or another processor associated with a heavy equipment operations worksite, the output signals being presentable via an electronic user interface based at least in part on the output signals to indicate the results of the further processing.

    METHOD AND APPARATUS FOR PERFORMING A FRAGMENTATION ASSESSMENT OF A MATERIAL
    7.
    发明申请
    METHOD AND APPARATUS FOR PERFORMING A FRAGMENTATION ASSESSMENT OF A MATERIAL 有权
    用于执行材料碎片评估的方法和装置

    公开(公告)号：US20150078653A1

    公开(公告)日：2015-03-19

    申请号：US14488033

    申请日：2014-09-16

    Applicant: MOTION METRICS INTERNATIONAL CORP.

    Inventor： Shahram TAFAZOLI BILANDI ,  Mohammad SAMETI ,  Nima ZIRAKNEJAD ,  Aylin AZMIN ,  Ian Law BELL ,  Hou-Yin Daniel KO

    IPC: G06K9/46 ,  G06K9/00

    CPC classification number: G06K9/4604 ,  G06K9/00201 ,  G06K9/00208

    Abstract: A method and apparatus for performing a fragmentation assessment of a material including fragmented material portions is disclosed. The method involves receiving two-dimensional image data representing a region of interest of the material, and processing the 2D image data to identify features of the fragmented material portions. The method also involves receiving a plurality of three dimensional point locations on surfaces of the fragmented material portions within the region of interest, identifying 3D point locations within the plurality of three dimensional point locations that correspond to identified features in the 2D image, and using the identified corresponding 3D point locations to determine dimensional attributes of the fragmented material portions.

    Abstract translation: 公开了一种用于对包括碎片材料部分的材料进行碎片评估的方法和装置。 该方法包括接收表示材料的感兴趣区域的二维图像数据，并处理2D图像数据以识别碎片材料部分的特征。 该方法还包括在感兴趣区域内的碎片材料部分的表面上接收多个三维点位置，识别与2D图像中识别的特征相对应的多个三维点位置内的3D点位置，并且使用 识别相应的3D点位置以确定碎片材料部分的尺寸属性。

    METHOD, APPARATUS AND SYSTEM FOR MONITORING A CONDITION ASSOCIATED WITH OPERATING HEAVY EQUIPMENT SUCH AS A MINING SHOVEL OR EXCAVATOR
    8.
    发明申请
    METHOD, APPARATUS AND SYSTEM FOR MONITORING A CONDITION ASSOCIATED WITH OPERATING HEAVY EQUIPMENT SUCH AS A MINING SHOVEL OR EXCAVATOR 有权

    公开(公告)号：US20210262204A1

    公开(公告)日：2021-08-26

    申请号：US17059648

    申请日：2018-06-01

    Applicant: MOTION METRICS INTERNATIONAL CORP.

    Inventor： Shahram TAFAZOLI BILANDI ,  Mahdi RAMEZANI ,  Saman NOURANIAN ,  Kenneth SMITH ,  Sahar GHAVIDEL ,  Mohammad SAMETI

    IPC: E02F9/26 ,  E02F9/20 ,  G06N3/04 ,  G06N3/08 ,  G06T7/00

    Abstract: A computer processor implemented method and system for monitoring a condition associated with operating heavy equipment is disclosed. The method involves receiving a plurality of images at an interface of an embedded processor disposed on the heavy equipment, the images providing a view of at least an operating implement of the heavy equipment. The method also involves processing each of the plurality of images using a first neural network implemented on the embedded processor, the first neural network having been previously trained to identify regions of interest within the image. Each region of interest has an associated designation as at least one of a critical region suitable for extraction of critical operating condition information required for operation of the heavy equipment, and a non-critical region suitable for extraction of non-critical operating condition information associated with the operation of the heavy equipment. The method further involves causing the embedded processor to initiate further processing of image data associated with critical regions to generate local output operable to alert an operator of the heavy equipment of the associated critical operating condition. The method also involves transmitting image data associated with non-critical regions to a remote processor, the remote processor being operably configured for further processing of the image data and to generate output signals representing results of the further processing. The method further involves receiving the output signals generated by the remote processor at one of the embedded processor or another processor associated with a heavy equipment operations worksite, the output signals being presentable via an electronic user interface based at least in part on the output signals to indicate the results of the further processing.

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