Patent ID: 11972380
Assignee: WORXIMITY TECHNOLOGIES INC
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 15:
16. A method using machine learning to optimize operations of a processing chain, the method comprising:
storing a predictive model in a memory of a computing device;
collecting by a processing unit of the computing device data representative of characteristics of a product processed by the processing chain, at least some of the collected data being received via at least one communication interface of the computing device from one or more sensor monitoring operations of the processing chain;
determining by the processing unit of the computing device at least one product characteristic value based on the collected data;
collect additional data, the additional data comprising at least one target yield, each target yield being defined for one of the processing chain or a processing appliance of the processing chain;
executing by the processing unit of the computing device 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 target yield, the one or more output comprising one or more command for controlling at least one processing appliance of the processing chain; and
transmitting by the processing unit of the computing device via the at least one communication interface of the computing device the one or more command to the at least one processing appliance of the processing chain.