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：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.