Granted Patent B2

US 12,280,403 · App. 18/751,179 · Granted Apr 22, 2025

Inventors: Nalin Kumar (Fort Wayne, IN); Manuel Gerardo Garcia, Jr. (Austin, TX)

Assignee: SORTERA TECHNOLOGIES, INC.

B07C5/3422B07C5/34B07C5/342B07C5/04B07C2501/0054

Abstract

Claims (38)

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.

2. The system as recited in claim 1 , wherein the data processing system comprises circuitry configured to instruct the sorting device to continue sorting of material pieces until the aggregate chemical composition of a predetermined minimum number of sorted material pieces is equal to a threshold level of the predetermined specific aggregate chemical composition.

3. The system as recited in claim 1 , wherein the plurality of material pieces includes material pieces possessing different metal alloy compositions.

4. The system as recited in claim 1 , wherein the predetermined specific aggregate chemical composition is different than the chemical composition of each of the plurality of material pieces.

5. The system as recited in claim 1 , wherein the collection of material pieces includes material pieces having different material classifications.

6. The system as recited in claim 1 , wherein the plurality of pieces comprises aluminum alloy pieces of different alloy compositions, and wherein the collection of material pieces comprises at least one aluminum alloy piece having a chemical composition different than the other material pieces within the collection, and wherein the predetermined specific aggregate chemical composition is different than a chemical composition of the aluminum alloy pieces.

7. A system comprising:

a sensor configured to capture one or more characteristics of each of a mixture of material pieces, wherein the mixture of material pieces comprises material pieces having different material classifications;

an apparatus configured to determine an approximate mass of each material piece of the mixture of material pieces;

a data processing system configured to classify each material piece of the mixture of material pieces as belonging to one of a plurality of different material classifications; and

a sorting device configured to sort certain ones of the material pieces from the mixture of material pieces as a function of the determined approximate mass and 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 sensor comprises an x-ray fluorescence (“XRF) system and classification is based on captured XRF spectra from each material piece.

8. The system as recited in claim 7 , wherein the apparatus comprises a line scanner configured to measure an approximate size of each material piece.

9. A computer program product stored on a computer readable storage medium, which when executed by a data processing system, performs a process comprising:

determining a mass of each material piece of a plurality of material pieces, wherein at least one of the plurality of material pieces has a material classification different from the other material pieces;

classifying each material piece of the plurality of material pieces as belonging to one of a plurality of different material classifications; and

directing selecting and sorting of certain ones of the material pieces from the plurality of material pieces to produce a collection of material pieces possessing a predetermined specific aggregate chemical composition, wherein the sorting is performed as a function of the determined mass and classification of each material piece of the plurality of material pieces, wherein the collection of material pieces comprises material pieces having different material classifications, wherein the directing selecting and sorting comprises:

directing sorting of a next material piece in order to increase a weight percentage of a specific chemical element of an aggregate chemical composition of the collection of material pieces; and

directing sorting of a next material piece in order to decrease a weight percentage of a specific chemical element of the aggregate chemical composition of the collection of material pieces.

10. The computer program product as recited in claim 9 , wherein the classifying comprises processing image data captured from each of the plurality of material pieces through a machine learning system.

11. The computer program product as recited in claim 9 , wherein the predetermined specific aggregate chemical composition is different than the chemical composition of each of the plurality of material pieces.

12. The computer program product as recited in claim 9 , wherein the directing selecting comprises continually determining an aggregate chemical composition of the sorted material pieces.

13. The computer program product as recited in claim 9 , wherein the directing selecting and sorting is continued until the aggregate chemical composition of a predetermined minimum number of diverted material pieces is equal to a threshold level of the predetermined specific aggregate chemical composition.

14. The computer program product as recited in claim 9 , wherein the plurality of material pieces includes material pieces possessing different metal alloy compositions.

15. The computer program product as recited in claim 9 , wherein the predetermined specific aggregate chemical composition is different than the chemical composition of each of the plurality of material pieces.

16. The computer program product as recited in claim 9 , wherein the directing selecting comprises determining a chemical composition of each material piece based on the determined classification.

17. The computer program product as recited in claim 9 , wherein the collection of material pieces includes the at least one of the material pieces having a material classification different from the other material pieces.

18. A system comprising:

a sensor configured to capture one or more characteristics of each of a mixture of material pieces, wherein the mixture of material pieces comprises material pieces having different material classifications;

an apparatus configured to determine an approximate mass of each material piece of the mixture of material pieces, wherein the apparatus comprises a line scanner configured to measure an approximate size of each material piece;

a data processing system configured to classify each material piece of the mixture of material pieces as belonging to one of a plurality of different material classifications; and

a sorting device configured to sort certain ones of the material pieces from the mixture of material pieces as a function of the determined approximate mass and 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.

Assignments (2)

Continuity (20)

References Cited (357)