公开(公告)号：US20240168000A1

公开(公告)日：2024-05-23

申请号：US18516847

申请日：2023-11-21

Applicant: MOTION METRICS INTERNATIONAL CORP.

Inventor： Obada Alhumsi ,  Sophia Alexandra Helen Piche ,  Peter Shang Yu Hsieh ,  Mohammad Sameti ,  Saeed Karimifard ,  Thomas C. Chudy

IPC: G01N33/24 ,  G01N1/28 ,  G01N21/31

CPC classification number: G01N33/24 ,  G01N1/286 ,  G01N21/31 ,  G01N2201/12761 ,  G01N2201/1296

Abstract: Spectral imaging systems are used to gather spectral image data on earthen material moving within an earthen material processing system, such as a mineral processing system or cement plant. Machine learning models such as 3D convolutional neural networks may be utilized to process the spectral image data to determine or classify one or more characteristics of the earthen material, such as ore grade, mineral alteration(s), moisture content, lithology and/or mineralogy. Such earthen material characteristics, or classifications thereof, may then be utilized to automatically control one or more operational characteristics of the earthen material processing system, such as rotational speed of milling equipment or flow rates of water or chemicals added to milling equipment or mineral concentration systems.

公开(公告)号：US10783610B2

公开(公告)日：2020-09-22

申请号：US15752430

申请日：2016-12-13

Applicant: Motion Metrics International Corp.

Inventor： Shahram Tafazoli Bilandi ,  Mahdi Ramezani ,  Ian Law Bell ,  Mohammad Sameti ,  Purang Abolmaesumi ,  Saman Nouranian

IPC: G06K9/00 ,  G06T3/40 ,  G06N3/04 ,  G06K9/46 ,  G06K9/34 ,  G06K9/62 ,  G06T7/50 ,  G06T7/13 ,  G06N3/08 ,  G06T1/20 ,  G06T1/60

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.

公开(公告)号：US10339667B2

公开(公告)日：2019-07-02

申请号：US15571463

申请日：2016-05-13

Applicant: Motion Metrics International Corp

Inventor： Shahram Tafazoli Bilandi ,  Mahdi Ramezani ,  Amin Suzani ,  Neda Parnian ,  Matthew Alexander Baumann ,  Saman Nouranian ,  Nazanin Hamzei ,  Mohammad Sameti ,  Saeed Karimifard

IPC: G06K9/00 ,  G06T7/70 ,  G01B11/04 ,  G06N3/08 ,  G06T7/00 ,  G06T7/277 ,  E02F9/26 ,  G06K9/62 ,  G06N3/04 ,  E02F9/28

Abstract: A method and apparatus for locating and/or determining the condition of a wear part in an image of an operating implement associated with heavy equipment is disclosed. The method involves capturing at least one image of the operating implement during operation of the heavy equipment, the image including a plurality of pixels each having an intensity value. The method also involves selecting successive pixel subsets within the plurality of pixels, and processing each pixel subset to determine whether pixel intensity values in the pixel subset meet a matching criterion indicating a likelihood that the pixel subset corresponds to the wear part. The matching criterion is based on processing a labeled set of training images during a training exercise prior to capturing the at least one image of the operating implement.

公开(公告)号：US20190012768A1

公开(公告)日：2019-01-10

申请号：US15752430

申请日：2016-12-13

Applicant: Motion Metrics International Corp.

Inventor： Shahram Tafazoli Bilandi ,  Mahdi Ramezani ,  Ian Law Bell ,  Mohammad Sameti ,  Purang Abolmaesumi ,  Saman Nouranian

IPC: G06T3/40 ,  G06N3/08 ,  G06T7/13 ,  G06T7/50 ,  G06K9/62 ,  G06T1/20 ,  G06T1/60

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.

公开(公告)号：US09418309B2

公开(公告)日：2016-08-16

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: G06K9/00 ,  G06K9/46

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。