US 11,867,608 B2
Determining ore characteristics
Thomas Peter Hunt, Oakland, CA (US); Neil David Treat, Los Gatos, CA (US); Karen R Davis, Portola Valley, CA (US); Artem Goncharuk, Mountain View, CA (US); and Vikram Neal Sahney, Seattle, WA (US)
Assigned to X Development LLC, Mountain View, CA (US)
Filed by X Development LLC, Mountain View, CA (US)
Filed on Jun. 6, 2022, as Appl. No. 17/832,910.
Application 17/832,910 is a continuation of application No. 16/892,861, filed on Jun. 4, 2020, granted, now 11,351,576, issued on Jun. 7, 2022.
Claims priority of provisional application 62/857,592, filed on Jun. 5, 2019.
Prior Publication US 2022/0347725 A1, Nov. 3, 2022
Int. Cl. B07C 5/34 (2006.01); G01N 15/14 (2006.01); B07C 5/342 (2006.01); B07C 5/344 (2006.01); B07C 5/346 (2006.01); G01N 23/20091 (2018.01); G01N 23/207 (2018.01); G01N 23/223 (2006.01); G01N 33/24 (2006.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01)
CPC G01N 15/1475 (2013.01) [B07C 5/344 (2013.01); B07C 5/346 (2013.01); B07C 5/3425 (2013.01); B07C 5/3427 (2013.01); G01N 23/207 (2013.01); G01N 23/20091 (2013.01); G01N 23/223 (2013.01); G01N 33/24 (2013.01); G06N 3/08 (2013.01); G06T 7/001 (2013.01); G06T 2207/20081 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An ore processing system, comprising:
one or more processors; and
one or more tangible, non-transitory media operably connectable to the one or more processors and storing instructions that, when executed, cause the one or more processors to perform operations comprising:
causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility, wherein the ore fragments are treated with a fluid imaging enhancement prior to the recording of the plurality of images;
correlating the plurality of images of the stream of ore fragments with one or more characteristics of the ore fragments using a machine learning model that comprises a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments;
determining, based on the correlation, at least one of the one or more characteristics of the ore fragments;
determining, based on at least one of the plurality of images, an anomaly within the stream of ore fragments;
based on the determination of the anomaly, causing a change to an operation of the ore processing facility; and
generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.