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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
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.
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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.
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