| CPC B07C 5/3422 (2013.01) [B07C 5/34 (2013.01); B07C 5/342 (2013.01); B07C 5/04 (2013.01); B07C 2501/0054 (2013.01)] | 18 Claims |

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1. A system comprising:
a camera configured to capture one or more visually observed characteristics of each of a mixture of material pieces, wherein the mixture of material pieces comprises material pieces having different material classifications, wherein the one or more captured visually observed characteristics were captured by the camera configured to capture visual images of each of the mixture of material pieces as they were conveyed past the camera;
a data processing system comprising a machine learning system implementing a neural network configured to classify each material piece of the mixture of material pieces as belonging to one of a plurality of different material classifications based on the captured visually observed characteristics, wherein the data processing system comprises:
circuitry configured to determine a chemical composition of each material piece based on the determined classification; and
circuitry configured to continually determine an aggregate chemical composition of all of the sorted material pieces; and
a sorting device configured to sort certain ones of the material pieces from the mixture of material pieces as a function of the classification of each material piece of the mixture of material pieces, wherein the sorting produces a collection of material pieces possessing a predetermined specific aggregate chemical composition, wherein the data processing system comprises:
circuitry configured to instruct the sorting device to sort a next material piece in order to increase a weight percentage of a specific chemical element of the aggregate chemical composition of the sorted material pieces; and
circuitry configured to instruct the sorting device to sort a next material piece in order to decrease a weight percentage of a specific chemical element of the aggregate chemical composition of the sorted material pieces.
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