An automated carrier system is disclosed for moving objects to be processed. The automated carrier system includes a base structure of a carrier on which an object may be supported, and at least two wheels mounted to at least two motors to provide at least two wheel assemblies, the at least two wheel assemblies being pivotally supported on the base structure for pivoting movement from a first position to a second position to effect a change in direction of movement of the carrier.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, each of the actuatable carriers being instructed at any time to move a limited number of track section only.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

An automated object sorting system is provided. In various embodiments, the automated object sorting system includes an automated object extraction assembly and an automated object collection assembly. The automated object extraction assembly extracts one or more objects from an object sorting tray based on one or more attributes and/or traits of interest. The automated collection assembly selectively deposits the extracted objects in selected collection receptacles according to the particular attributes and/or traits of each respective object.

A bin exchange system is disclosed that includes a plurality of automated carriers, each of which is adapted to be remotely movable on an array of track sections, at least one input station by which bins may be introduced to the array of track sections, at least one processing station in communication with the array of track sections wherein objects may be moved between bins, and at least one output station by which bins may be removed from the array of track sections.

A bin exchange system is disclosed that includes a plurality of automated carriers, each of which is adapted to be remotely movable on an array of track sections, at least one input station by which bins may be introduced to the array of track sections, at least one processing station in communication with the array of track sections wherein objects may be moved between bins, and at least one output station by which bins may be removed from the array of track sections.

A coal and gangue identification device is disclosed. The device includes a rotary supporting frame, a water injection unit, a weighing unit, a liquid level detection device and a processing module. The rotary supporting frame is provided with a loading unit used to load a mineral aggregate. The rotary supporting frame is used to drive the loading unit to rotate on a horizontal plane. In the rotating process of the rotary supporting frame, the loading unit cyclically passes through a water injection region, a material adding region, a volume measurement region and an unloading region which are sequentially disposed on a rotation trajectory of the rotary supporting frame. The water injection unit is used to inject water to the loading unit of the water injection region.

A trash sorting and recycling method, a trash sorting device and a trash sorting and recycling system are provided. The trash sorting and recycling method includes: acquiring a detection image of trash to be sorted; processing the detection image with a deep learning neural network to judge whether or not the trash to be sorted belongs to recyclable trash; if yes, sending a first control signal, to control to deliver the trash to be sorted into a recycling region; if no, sending a second control signal, to control to deliver the trash to be sorted into a non-recycling region.