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。

公开(公告)号：US20180130222A1

公开(公告)日：2018-05-10

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: G06T7/70 ,  G06K9/62 ,  E02F9/26

CPC classification number: G06T7/70 ,  E02F9/26 ,  E02F9/2808 ,  G01B11/04 ,  G06K9/6202 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/08 ,  G06T7/0008 ,  G06T7/277 ,  G06T2207/10016 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30164 ,  G06T2207/30252

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：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.