Material handling using machine learning system
AssigneeSortera Alloys, Inc.
InventorsNalin Kumar, Manuel Gerardo Garcia, JR., Kanishka Tyagi
Life of this patent
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Abstract
Systems and methods for classifying materials utilizing one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials, which may then be sorted into separate groups based on such an identification or classification. The machine learning system may utilize a neural network, and be previously trained to recognize and classify certain types of materials.
Claims14
A computer program product stored on a computer readable storage medium, which when executed performs a method for classifying materials for sorting, comprising:
- receiving image data of each piece of a heterogeneous mixture of materials moving in a stream past a vision system camera, wherein the materials in the heterogeneous mixture of materials are a collection of different classes or types of materials;
- classifying the materials that have a specified class or type of material into a first classification;
- classifying the materials that do not have the specified class or type of material into a second classification;
- and
- sending to an automated sorting device information regarding the classifications so that the automated sorting device can sort the materials classified into the first classification from the materials classified into the second classification, wherein the classifying of the materials is performed by a neural network employing one or more machine learning algorithms that compare features detected in the image data captured from each piece of the heterogeneous mixture of materials with those stored in a knowledge base generated during a training stage.
A computer program product stored on a computer readable storage medium, which when executed performs a method for handling a first heterogeneous mixture of separable materials comprising at least one of a first type of materials and at least one of a second type of materials, comprising:
- receiving a characteristic of each of the first heterogeneous mixture of materials captured with a sensor;
- and
- assigning with a machine learning system a first classification to certain ones of the first heterogeneous mixture of materials as belonging to the first type of materials based on the captured characteristics of each of the first heterogeneous mixture of materials, wherein the first classification is based on a first knowledge base produced from a previously generated classification of one or more examples of the first type of materials.
Dependencies are inferred from the claim text.