A system classifies and sorts mixed materials utilizing a combination of sensor systems and/or a vision system that can implement an artificial intelligence 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. The system is capable of classifying and sorting between materials typically found within Zorba, Zebra, and Twitch.
A first sorting system located at a first geographical location, a second sorting system located at a second geographical location, a data center located at a third geographical location, and a wide area network configured to enable data communications between the first sorting system and the data center, and between the second sorting system and the data center. The first sorting system uses a classifying/sorting algorithm to classify and sort a first mixture of materials, whereby information on results of the classifying and sorting of the first mixture of materials is collected and transmitted to the data center via the wide area network. The data center modifies the classifying/sorting algorithm as a result of the collected information. The modified classifying/sorting algorithm is then made available to the first sorting system and the second sorting system via the wide area network.
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
A nozzle assembly with an array of nozzles that are oriented at projection angles relative to each other so that each nozzle's intended focal point on the conveyor belt more effectively diverts material pieces having different sizes, shapes, and/or masses. The array of nozzles expel or project a gaseous or liquid media from orifices formed in tips of each of the nozzles towards/against material pieces transported past the nozzle assembly based on the identification/classification of the individual material pieces as described with respect to a material handling system disclosed herein. The nozzle assembly may be designed with internal conduits for a more efficient flow of air, which increases the response time from when a pressurized air jet is actuated from a nozzle.
B07C 5/36 - Appareils trieurs caractérisés par les moyens qu'ils utilisent en vue de la distribution
B05B 1/14 - Buses, têtes de pulvérisation ou autres dispositifs de sortie, avec ou sans dispositifs auxiliaires tels que valves, moyens de chauffage avec des orifices de sortie multiplesBuses, têtes de pulvérisation ou autres dispositifs de sortie, avec ou sans dispositifs auxiliaires tels que valves, moyens de chauffage avec des filtres placés dans ou à l'extérieur de l'orifice de sortie
B05B 1/16 - Buses, têtes de pulvérisation ou autres dispositifs de sortie, avec ou sans dispositifs auxiliaires tels que valves, moyens de chauffage avec des orifices de sortie multiplesBuses, têtes de pulvérisation ou autres dispositifs de sortie, avec ou sans dispositifs auxiliaires tels que valves, moyens de chauffage avec des filtres placés dans ou à l'extérieur de l'orifice de sortie comportant des sorties de section réglable
B07C 5/34 - Tri en fonction d'autres propriétés particulières
A nozzle assembly with an array of nozzles that are oriented at projection angles relative to each other so that each nozzle's intended focal point on the conveyor belt more effectively diverts material pieces having different sizes, shapes, and/or masses. The array of nozzles expel or project a gaseous or liquid media from orifices formed in tips of each of the nozzles towards/against material pieces transported past the nozzle assembly based on the identification/classification of the individual material pieces as described with respect to a material handling system disclosed herein. The nozzle assembly may be designed with internal conduits for a more efficient flow of air, which increases the response time from when a pressurized air jet is actuated from a nozzle.
Systems and methods for classifying, evaluating, and sorting materials within a contiguous stream of materials. Segments of the material stream are classified and evaluated, whether such segments make up a whole material piece or a portion of a material piece. The sorting is then performed as a function of the classifications and evaluations
B07C 5/34 - Tri en fonction d'autres propriétés particulières
B65G 47/26 - Dispositifs pour influencer la position relative ou l'orientation des objets pendant le transport par transporteurs arrangeant les objets, p. ex. faisant varier l'espace entre chaque objet
B07B 13/00 - Classement ou triage des matériaux solides par voie sèche non prévu ailleursTriage autrement que par des dispositifs commandés indirectement
G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes
G05B 15/00 - Systèmes commandés par un calculateur
Systems and methods for classifying, evaluating, and sorting materials within a contiguous stream of materials. Segments of the material stream are classified and evaluated, whether such segments make up a whole material piece or a portion of a material piece. The sorting is then performed as a function of the classifications and evaluations.
B07B 13/00 - Classement ou triage des matériaux solides par voie sèche non prévu ailleursTriage autrement que par des dispositifs commandés indirectement
B07B 13/04 - Classement ou triage des matériaux solides par voie sèche non prévu ailleursTriage autrement que par des dispositifs commandés indirectement selon la taille
A material handling system classifies and sorts a heterogeneous mix of materials utilizing an x-ray fluorescence and/or a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, which are then sorted into separate groups as a function of such an identification or classification.
A system and method for classifying and sorting a plurality of materials utilizing a machine learning system in order to identify signatures of each of the materials corresponding to elemental compositions specific to each of the materials, which are then sorted into separate groups as a function of such identified signatures.
A material handling system sorts mixed materials utilizing a combination of a spectroscopic sensor, such as x-ray fluorescence, and a vision system that implements an artificial intelligence 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. The system is capable of sorting between materials typically found within Zorba, such as wrought, cast, and extrusion aluminum alloys.
A first sorting system located at a first geographical location, a second sorting system located at a second geographical location, a data center located at a third geographical location, and a wide area network configured to enable data communications between the first sorting system and the data center, and between the second sorting system and the data center. The first sorting system uses a classifying/sorting algorithm to classify and sort a first mixture of materials, whereby information on results of the classifying and sorting of the first mixture of materials is collected and transmitted to the data center via the wide area network. The data center modifies the classifying/sorting algorithm as a result of the collected information. The modified classifying/sorting algorithm is then made available to the first sorting system and the second sorting system via the wide area network.
B07C 5/344 - Tri en fonction d'autres propriétés particulières selon les propriétés électriques ou magnétiques
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
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. The material sorting system can sort material pieces containing contaminants, such as copper from steel.
A material sorting system sorts materials utilizing an x-ray fluorescence and/or 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, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.
A material sorting system sorts materials utilizing multiple stages of classification and sorting, including a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, and an x-ray fluorescence (“XRF”) system or Laser Induced Breakdown Spectroscopy to perform a subsequent classification and sorting of the remaining materials.
Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.
Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.
A material sorting system sorts materials utilizing multiple stages of classification and sorting, including a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, and an x-ray fluorescence (“XRF”) system or Laser Induced Breakdown Spectroscopy to perform a subsequent classification and sorting of the remaining materials.
B07C 5/34 - Tri en fonction d'autres propriétés particulières
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
G01N 23/223 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en irradiant l'échantillon avec des rayons X ou des rayons gamma et en mesurant la fluorescence X
A material handling system sorts mixed scrap materials utilizing a combination of a spectroscopy sensor, such as x-ray fluorescence, and a vision system that implements an artificial intelligence 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. The system is capable of sorting between materials typically found within Zorba, Zebra, and Twitch.
A material handling system sorts mixed materials utilizing a combination of a spectroscopic sensor, such as x-ray fluorescence, and a vision system that implements an artificial intelligence 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. The system is capable of sorting between materials typically found within Zorba, such as wrought, cast, and extrusion aluminum alloys.
G01N 23/223 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en irradiant l'échantillon avec des rayons X ou des rayons gamma et en mesurant la fluorescence X
A material handling system sorts mixed materials utilizing a combination of a spectroscopic sensor, such as x-ray fluorescence, and a vision system that implements an artificial intelligence 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. The system is capable of sorting between materials typically found within Zorba, such as wrought, cast, and extrusion aluminum alloys.
A material handling system sorts mixed materials utilizing a combination of x-ray fluorescence and/or a vision system that implements an artificial intelligence 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. The system is capable of sorting between materials typically found within Zorba, Zebra, and Twitch.
When x-ray fluorescence (“XRF”) spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
B07C 5/346 - Tri en fonction d'autres propriétés particulières selon les propriétés radioactives
B65G 43/08 - Dispositifs de commande actionnés par l'alimentation, le déplacement ou le déchargement des objets ou matériaux
G01N 23/223 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en irradiant l'échantillon avec des rayons X ou des rayons gamma et en mesurant la fluorescence X
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
A sorting system conveys a heterogeneous mixture of material pieces past an XRF system and a vision system. A classification of a material piece is changed to a high copper content aluminum alloy when the XRF system classifies the material piece as a low copper content aluminum alloy and the vision system determines that the material piece is a thin strip material piece. The reclassified material piece is then sorted accordingly.
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
B07C 5/346 - Tri en fonction d'autres propriétés particulières selon les propriétés radioactives
B65G 43/08 - Dispositifs de commande actionnés par l'alimentation, le déplacement ou le déchargement des objets ou matériaux
G01N 23/223 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en irradiant l'échantillon avec des rayons X ou des rayons gamma et en mesurant la fluorescence X
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
A material sorting system sorts materials utilizing an x-ray fluorescence and/or 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, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.
A material sorting system sorts materials utilizing an x-ray fluorescence and/or 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, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.
ABSTRACT When x-ray fluorescence ("XRF") spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.
B07C 5/34 - Tri en fonction d'autres propriétés particulières
G01N 23/06 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en transmettant la radiation à travers le matériau et mesurant l'absorption
G01N 23/22 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux
A sorting system conveys a heterogeneous mixture of material pieces past an XRF system and a vision system. A classification of a material piece is changed to a high copper content aluminum alloy when the XRF system classifies the material piece as a low copper content aluminum alloy and the vision system determines that the material piece is a thin strip material piece. The reclassified material piece is then sorted accordingly.
When x-ray fluorescence ("XRF") spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.
G01N 23/22 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux
B07C 5/34 - Tri en fonction d'autres propriétés particulières
G01N 23/06 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en transmettant la radiation à travers le matériau et mesurant l'absorption
Systems and methods for classifying and sorting of dark colored and/or black-colored plastic materials utilizing a vision system or one or more sensor systems implemented with one or more medium wavelength infrared cameras whereby the captured image data is process within 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.
A portable materials analyzer is implemented in a small form factor. A sample of material pieces are retrieved from a larger container. The sample of material pieces are then analyzed by the analyzer using x-ray fluorescence, laser induced breakdown spectroscopy, a vision system with artificial intelligence, etc. The number of the material pieces within the sample is a substantially small percentage of a total number of the material scrap pieces within the container. The analyzer then determines whether the classification of the material pieces within the sample corresponds to an expected classification of the entirety of material pieces within the container.
Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.
A material sorting system sorts materials utilizing a machine learning system in order to identify or classify each of the materials, and can be further implemented to utilize Laser Induced Breakdown Spectroscopy or x-ray fluorescence to perform a subsequent classification and sorting of the materials.
A material handling system sorts materials utilizing a vision system of multiple vision devices configured with single board computers that each implement an artificial intelligence system in order to identify or classify materials, which are then sorted into separate groups based on such an identification or classification by sorting devices that are each coupled to one of the vision devices.
B07B 13/00 - Classement ou triage des matériaux solides par voie sèche non prévu ailleursTriage autrement que par des dispositifs commandés indirectement
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
G06F 18/2413 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques basées sur les distances des motifs d'entraînement ou de référence
G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes
An apparatus for classifying materials utilizing a vision system, which may implement an artificial intelligence system in order to identify or classify each of the materials, which may then be separated from a heap in a scrap yard into separate groups, such as other heaps, based on such an identification or classification. The artificial intelligence system may utilize a neural network, and be previously trained to recognize and classify certain types of materials.
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.
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. Embodiments of the present disclosure may be utilized to sort any types or classes of materials as defined herein. By way of contrast, a homogeneous set or group of materials all fall within an identifiable class or type of material.
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.
B07B 13/00 - Classement ou triage des matériaux solides par voie sèche non prévu ailleursTriage autrement que par des dispositifs commandés indirectement
B07C 5/12 - Séparation selon la dimension caractérisée par son application à des objets particuliers, non prévus ailleurs
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
G06F 18/2413 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques basées sur les distances des motifs d'entraînement ou de référence
G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
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. The material sorting system can sort material pieces containing contaminants, such as copper from steel.
Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.
A material sorting system sorts materials utilizing multiple stages of classification and sorting, including a vision system that implements a machine learning system in order to identify or classify each of the materials, and Laser Induced Breakdown Spectroscopy to perform a subsequent classification and sorting of the remaining materials.
Systems and methods for classifying and sorting of plastic materials utilizing a vision system and 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.
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.
A material sorting system sorts materials utilizing multiple stages of classification and sorting, including a vision system that implements a machine learning system in order to identify or classify each of the materials, and Laser Induced Breakdown Spectroscopy to perform a subsequent classification and sorting of the remaining materials.
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.
A material sorting system sorts materials utilizing an x-ray fluorescence and/or 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, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.
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, extruded aluminum, or cast aluminum.
A system classifies materials utilizing a vision system that implements a machine learning system, such as a neural network, in order to identify or classify each of the materials as either a monetary coin or not a monetary coin, which may then be sorted into separate groups based on such an identification or classification. Such a system can sort monetary coins from other forms of scrap, which may have been produced from a shredding of end of life vehicles.
B07B 13/00 - Classement ou triage des matériaux solides par voie sèche non prévu ailleursTriage autrement que par des dispositifs commandés indirectement
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.
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 have a specified geometric shape. Such a system can sort monetary coins or other valuable metals from other forms of scrap.
B07B 13/00 - Classement ou triage des matériaux solides par voie sèche non prévu ailleursTriage autrement que par des dispositifs commandés indirectement
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. The material sorting system may include an x-ray fluorescence system to perform a classification of the materials in combination with the vision system, whereby the classification efforts of the vision system and x-ray fluorescence system are combined in order to classify and sort the materials.
G01N 23/223 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en irradiant l'échantillon avec des rayons X ou des rayons gamma et en mesurant la fluorescence X
A material sorting system sorts materials, such as scrap pieces composed of unknown metal alloys, as a function of their detected x-ray fluorescence. The x-ray fluorescence may be converted into an elemental composition signature that is then compared to an elemental composition signature of a reference material in order to identify and/or classify each of the materials, which are then sorted into separate groups based on such an identification/classification. The material sorting system may include an in-line x-ray tube having a plurality of separate x-ray sources, each of which can irradiate a separate stream of materials to be sorted.
B07C 5/34 - Tri en fonction d'autres propriétés particulières
B07C 5/10 - Séparation selon la dimension les mesures étant faites par des moyens photosensibles
G01B 11/04 - Dispositions pour la mesure caractérisées par l'utilisation de techniques optiques pour mesurer la longueur, la largeur ou l'épaisseur spécialement adaptés pour mesurer la longueur ou la largeur d'objets en mouvement
G01N 23/223 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en irradiant l'échantillon avec des rayons X ou des rayons gamma et en mesurant la fluorescence X
B07C 5/346 - Tri en fonction d'autres propriétés particulières selon les propriétés radioactives
brevets
