Removing airbag modules from automotive scrap
A system classifies materials utilizing a vision system that implements an artificial intelligence system in order to identify or classify and then remove automotive airbag modules from a scrap stream, which may have been produced from a shredding of end-of-life vehicles. The sorting process may be designed so that live airbag modules are not activated, which may cause damage to equipment or persons.
1. A method of sorting live airbag modules from a moving stream of automotive scrap pieces, comprising:
conveying automotive scrap pieces past a vision system, wherein the automotive scrap pieces include a live airbag module;
capturing visual images of the automotive scrap pieces;
processing the captured visual images of the automotive scrap pieces through an artificial intelligence system in order to distinguish the live airbag module from the other automotive scrap pieces; and
sorting the live airbag module from the moving stream of automotive scrap pieces.
2. The method as recited in claim 1 , wherein the sorting includes diverting the live airbag module into a receptacle along with other automotive scrap pieces that are within a vicinity of the live airbag module.
3. The method as recited in claim 1 , wherein the sorting is performed without activating the live airbag module.
4. The method as recited in claim 1 , wherein the sorting is performed by a sorting mechanism that diverts the live airbag module using a diverting force configured to not activate the live airbag module.
5. The method as recited in claim 4 , wherein the sorting mechanism is a paint brush type plunger.
6. The method has recited in claim 2 , wherein the live airbag module is partially occluded by at least one other automotive scrap piece so that the vision system is unable to acquire spectral image data of an entirety of the live airbag module.
7. The method as recited in claim 6 , wherein the artificial intelligence system is configured to identify the partially occluded live airbag module.
8. The method as recited in claim 7 , wherein the artificial intelligence system is configured with a semantic segmentation algorithm for distinguishing between live airbag modules and other automotive scrap pieces.
9. The method as recited in claim 1 , further comprising sorting the automotive scrap pieces into separate metal alloys after the sorting of the live airbag modules from the stream of automotive scrap pieces.
10. The method as recited in claim 1 , wherein the artificial intelligence system is configured to classify a particular automotive scrap piece as a live airbag module in a ratio of false positives to false negatives greater than a predetermined threshold.
11. A system for sorting live airbag modules from a moving stream of automotive scrap pieces, comprising:
a conveyor system for conveying automotive scrap pieces past a vision system, wherein the automotive scrap pieces include a live airbag module;
the vision system configured to capture visual images of the automotive scrap pieces;
a data processing system configured with an artificial intelligence system configured to process the captured visual images of the automotive scrap pieces through the artificial intelligence system in order to distinguish the live airbag module from the other automotive scrap pieces; and
a sorting device for sorting the live airbag module from the moving stream of automotive scrap pieces.
12. The system as recited in claim 11 , wherein the sorting includes diverting the live airbag module into a receptacle along with automotive scrap pieces that are within a vicinity of the live airbag module.
13. The system as recited in claim 11 , wherein the sorting is performed without activating the live airbag module.
14. The system as recited in claim 11 , wherein the sorting device includes a sorting mechanism that diverts the live airbag module using a diverting force configured to not activate the live airbag module.
15. The system as recited in claim 14 , wherein the sorting mechanism is a paint brush type plunger.
16. The system has recited in claim 12 , wherein the live airbag module is partially occluded by at least one other automotive scrap piece so that the vision system is unable to acquire spectral image data of an entirety of the live airbag module.
17. The system as recited in claim 16 , wherein the artificial intelligence system is configured to identify the partially occluded live airbag module and distinguish the partially occluded live airbag module from the other automotive scrap pieces.
18. The system as recited in claim 17 , wherein the artificial intelligence system is configured with a semantic segmentation algorithm for distinguishing between live airbag modules and other automotive scrap pieces.
19. The system as recited in claim 11 , wherein the artificial intelligence system is configured to classify a particular automotive scrap piece as a live airbag module if the particular automotive scrap piece sufficiently resembles a live airbag module.
20. The system as recited in claim 11 , wherein the artificial intelligence system is configured to classify a particular automotive scrap piece as a live airbag module in a ratio of false positives to false negatives greater than a predetermined threshold.