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 |
1. A method for handling a first mixture of materials comprising a plurality of different classes of materials, the method comprising:
capturing, by an image sensor, visually observed characteristics of each of the first mixture of materials; and
classifying, with a data processing system comprising a machine learning system implementing a neural network configured with a previously generated set of neural network parameters, a first plurality of materials of the first mixture as belonging to a first class of materials based solely on the captured visually observed characteristics, wherein the previously generated set of neural network parameters are uniquely associated with the first class of materials, wherein the first plurality of materials of the first mixture classified as belonging to the first class of materials possess a chemical composition that is different from the materials within the first mixture not classified as belonging to the first class of materials.
|