Patent ID: 11868433
Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A computing system, comprising:
one or more memories; and
one or more processors, communicatively coupled to the one or more memories, configured to:
train a machine learning model based at least in part on a plurality of training images of a training object that corresponds to a target object; and
implement the trained machine learning model in association with a waste processing system, wherein the one or more processors, when implementing the trained machine learning model, are configured to:
receive, from at least one imaging device associated with the waste processing system, imaging data associated with a portion of a volume of solid waste;
receive, from a separator control assembly that controls an operation of a separator, telemetry data indicating one or more of a weight of an object being held by the separator or a resistance force applied against the separator;
identify, using the trained machine learning model and based at least in part on the imaging data and the telemetry data, the target object that is disposed within the volume of solid waste; and
provide, to the separator control assembly, an output associated with the target object,
wherein the output is to facilitate removal, by the separator, of the target object from the volume of solid waste, and
wherein the output includes a display instruction to cause a display device of the separator control assembly to display a representation of the target object within, and distinguished from, the volume of solid waste.