US 12,443,905 B2
Controller and method using machine learning to optimize operations of a processing chain of a food factory
Louis Sirico, Montreal (CA); and Yannick Desmarais, Montreal (CA)
Assigned to WORXIMITY TECHNOLOGIES INC., Montreal (CA)
Filed by WORXIMITY TECHNOLOGIES INC., Montreal (CA)
Filed on Mar. 28, 2024, as Appl. No. 18/619,443.
Application 18/619,443 is a continuation of application No. 18/149,717, filed on Jan. 4, 2023, granted, now 11,972,380.
Application 18/619,443 is a continuation of application No. 17/179,450, filed on Feb. 19, 2021, granted, now 11,574,269.
Claims priority of provisional application 63/082,496, filed on Sep. 24, 2020.
Claims priority of provisional application 62/979,523, filed on Feb. 21, 2020.
Prior Publication US 2024/0242150 A1, Jul. 18, 2024
Int. Cl. G05B 19/418 (2006.01); G05B 13/02 (2006.01); G06N 3/04 (2023.01); G06Q 10/0633 (2023.01); G06Q 10/0639 (2023.01); G06Q 10/08 (2023.01); G06Q 50/04 (2012.01); G01N 33/00 (2006.01)
CPC G06Q 10/0633 (2013.01) [G05B 13/0265 (2013.01); G05B 19/418 (2013.01); G06N 3/04 (2013.01); G06Q 10/06393 (2013.01); G06Q 10/08 (2013.01); G06Q 50/04 (2013.01); G01N 33/004 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A computing device comprising:
at least one communication interface;
memory for storing a predictive model; and
a processing unit comprising one or more processor configured to:
collect data representative of characteristics of a product processed by a processing chain, at least some of the collected data being received via the at least one communication interface from one or more sensor monitoring operations of the processing chain;
determine at least one product characteristic value based on the collected data;
collect additional data, the additional data comprising at least one current quality metric, each current quality metric being defined for one of the processing chain or a processing appliance of the processing chain;
execute a machine learning inference engine, the machine learning inference engine using the predictive model for inferring one or more output based on inputs, the inputs comprising the at least one product characteristic value and the at least one current quality metric, the one or more output comprising one or more command for controlling at least one processing appliance of the processing chain; and
transmit via the at least one communication interface the one or more command to the at least one processing appliance of the processing chain.