US 12,117,812 B2
Systems, methods, and media for manufacturing processes
Andrew Sundstrom, Brooklyn, NY (US); Eun-Sol Kim, Cliffside Park, NJ (US); Damas Limoge, Brooklyn, NY (US); Vadim Pinskiy, Wayne, NJ (US); and Matthew C. Putman, Brooklyn, NY (US)
Assigned to Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US)
Filed by Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US)
Filed on Jun. 18, 2021, as Appl. No. 17/304,349.
Application 17/304,349 is a continuation in part of application No. 17/195,746, filed on Mar. 9, 2021.
Application 17/195,746 is a continuation in part of application No. 17/091,393, filed on Nov. 6, 2020.
Claims priority of provisional application 63/040,792, filed on Jun. 18, 2020.
Claims priority of provisional application 62/986,987, filed on Mar. 9, 2020.
Claims priority of provisional application 62/932,063, filed on Nov. 7, 2019.
Claims priority of provisional application 62/931,448, filed on Nov. 6, 2019.
Claims priority of provisional application 62/931,453, filed on Nov. 6, 2019.
Prior Publication US 2021/0311440 A1, Oct. 7, 2021
Int. Cl. B29C 64/393 (2017.01); G05B 13/02 (2006.01); G05B 19/418 (2006.01); G06T 1/00 (2006.01); G06T 7/00 (2017.01); G06T 7/33 (2017.01); G06V 10/764 (2022.01); G06V 20/10 (2022.01)
CPC G05B 19/41875 (2013.01) [G05B 13/0265 (2013.01); G05B 19/4188 (2013.01); G06T 1/0014 (2013.01); G06T 7/001 (2013.01); G06T 7/33 (2017.01); G06V 10/764 (2022.01); G06V 20/10 (2022.01); G05B 2219/31001 (2013.01); G05B 2219/33034 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30164 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A manufacturing system, comprising:
one or more stations, each station configured to perform at least one step in a multi-step manufacturing process for a component;
a monitoring platform configured to monitor progression of the component throughout the multi-step manufacturing process; and
a control module configured to dynamically adjust processing parameters of a step of the multi-step manufacturing process to achieve a desired final quality metric for the component, the control module configured to perform operations, comprising:
receiving image data of tooling of a first station of the one or more stations;
determining, by a first machine learning model, a final quality metric for the component, based on the image data;
determining that the final quality metric is outside an acceptable range of the desired final quality metric;
based on the determining, generating an updated instruction set to be performed by at least one of the first station or a downstream station to achieve the desired final quality metric;
predicting, by a second machine learning model, an updated final quality metric for the component based on the updated instruction set; and
based on the updated final quality metric, providing the updated instruction set to at least one of a first station controller associated with the first station or a second station controller associated with the downstream station.