Sorting cast and wrought aluminum
First Claim
Patent Images
1. A system for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the system comprising:
- an image capturing device configured to produce image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces;
a conveyor system configured to convey the first mixture past the image capturing device;
a data processing system comprising a machine learning system configured to classify certain ones of the first mixture as wrought aluminum scrap pieces based on the image data of the first mixture, wherein the classifying of certain ones of the first mixture is based on a first knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of wrought aluminum scrap pieces; and
a sorter configured to sort the classified certain ones of the first mixture from the first mixture as a function of the classifying of certain ones of the first mixture, wherein the system is configured to sort the first mixture without a use of x-ray spectroscopy to analyze compositions of the materials.
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Abstract
A material sorting system sorts materials utilizing a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum or cast aluminum.
98 Citations
24 Claims
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1. A system for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the system comprising:
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an image capturing device configured to produce image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces; a conveyor system configured to convey the first mixture past the image capturing device; a data processing system comprising a machine learning system configured to classify certain ones of the first mixture as wrought aluminum scrap pieces based on the image data of the first mixture, wherein the classifying of certain ones of the first mixture is based on a first knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of wrought aluminum scrap pieces; and a sorter configured to sort the classified certain ones of the first mixture from the first mixture as a function of the classifying of certain ones of the first mixture, wherein the system is configured to sort the first mixture without a use of x-ray spectroscopy to analyze compositions of the materials. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the system comprising:
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an image capturing device configured to produce image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces; a conveyor system configured to convey the first mixture past the image capturing device; a data processing system comprising a machine learning system configured to classify certain ones of the first mixture as wrought aluminum scrap pieces based on the image data of the first mixture, wherein the classifying of certain ones of the first mixture is based on a first knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of wrought aluminum scrap pieces; and a sorter configured to sort the classified certain ones of the first mixture from the first mixture as a function of the classifying of certain ones of the first mixture, wherein the sorting by the sorter of the classified certain ones of the first mixture from the first mixture produces a second mixture of materials that comprises the first mixture minus the classified certain ones of the first mixture, wherein the second mixture of materials contains an aggregate amount of magnesium of less than 1%. - View Dependent Claims (8, 9)
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10. A system for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the system comprising:
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an image capturing device configured to produce image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces; a conveyor system configured to convey the first mixture past the image capturing device; a data processing system comprising a machine learning system configured to classify certain ones of the first mixture as wrought aluminum scrap pieces based on the image data of the first mixture, wherein the classifying of certain ones of the first mixture is based on a first knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of wrought aluminum scrap pieces; and a sorter configured to sort the classified certain ones of the first mixture from the first mixture as a function of the classifying of certain ones of the first mixture, wherein the sorting by the sorter of the classified certain ones of the first mixture from the first mixture produces a second mixture of materials that comprises the first mixture minus the classified certain ones of the first mixture, wherein the second mixture of materials contains an aggregate amount of magnesium of less than 0.5%.
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11. A method for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the method comprising:
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producing image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces; assigning with a machine learning system a first classification to certain ones of the first mixture of materials as wrought aluminum scrap pieces based on the image data of the first mixture, wherein the first classification is based on a first knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of wrought aluminum scrap pieces; and sorting the certain ones of the first mixture of materials from the first mixture as a function of the first classification, wherein the sorting produces a second mixture of materials that comprises the first mixture of materials minus the sorted certain ones of the first mixture of materials, wherein the second mixture of materials contains an aggregate amount of magnesium of less than 1%. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the method comprising:
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producing image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces; assigning with a machine learning system a first classification to certain ones of the first mixture of materials as wrought aluminum scrap pieces based on the image data of the first mixture, wherein the first classification is based on a first knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of wrought aluminum scrap pieces; and sorting the certain ones of the first mixture of materials from the first mixture as a function of the first classification, wherein the sorting produces a second mixture of materials that comprises the first mixture of materials minus the sorted certain ones of the first mixture of materials, wherein the second mixture of materials contains an aggregate amount of magnesium of less than 0.5%.
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18. A method for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the method comprising:
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producing image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces; assigning with a machine learning system a first classification to certain ones of the first mixture of materials based on the image data of the first mixture of materials; and sorting the certain ones of the first mixture of materials from the first mixture as a function of the first classification assigned to the certain ones of the first mixture of materials, wherein the sorting of the certain ones of the first mixture of materials from the first mixture produces a second mixture of materials that comprises the first mixture of materials minus the sorted certain ones of the first mixture of materials, wherein the second mixture of materials contains an aggregate amount of magnesium of less than 1%. - View Dependent Claims (19, 20, 21, 22, 23, 24)
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Specification