A process for detecting oil or lubricant contamination in the production of an article by adding a Stokes-shifting taggant to an oil or lubricant of a machine utilized to produce the article or a component thereof, irradiating the articles produced with a first wavelength of radiation, and monitoring the articles for emission of radiation at a second wavelength. The taggant can be in the form of a composition containing a Stokes-shifting taggant, which absorbs radiation at a first wavelength and emits radiation at a second wavelength, different from said first wavelength, dissolved or dispersed in an oil or lubricant.

A process for detecting oil or lubricant contamination in the production of an article by adding a Stokes-shifting taggant to an oil or lubricant of a machine utilized to produce the article or a component thereof, irradiating the articles produced with a first wavelength of radiation, and monitoring the articles for emission of radiation at a second wavelength. The taggant can be in the form of a composition containing a Stokes-shifting taggant, which absorbs radiation at a first wavelength and emits radiation at a second wavelength, different from said first wavelength, dissolved or dispersed in an oil or lubricant.

Provided is a method for processing electronic and electrical device component scrap, which can accurately and efficiently sort electronic and electrical device component scrap. The method for processing electronic and electrical device component scrap includes a separation step of separating non-metal objects 1b or metal objects 1a.sub.1, 1a.sub.2 from electronic and electrical device component scrap 1 containing the metal objects 1a.sub.1, 1a.sub.2 and the non-metal objects 1b using a sorter 10 comprising a metal sensor 2, a color camera 3, an air valve 4, and a conveyor 5, wherein a fixed distance is provided between the metal objects 1a.sub.1, 1a.sub.2 adjacent to each other so as to prevent the non-metal objects 1b between the metal objects 1a.sub.1, 1a.sub.2 from being erroneously detected, when detecting the metal objects 1a.sub.1, 1a.sub.2 in the electronic and electrical device component scrap 1 by the metal sensor 2.

Provided is a method for processing electronic and electrical device component scrap, which can accurately and efficiently sort electronic and electrical device component scrap. The method for processing electronic and electrical device component scrap includes a separation step of separating non-metal objects 1b or metal objects 1a.sub.1, 1a.sub.2 from electronic and electrical device component scrap 1 containing the metal objects 1a.sub.1, 1a.sub.2 and the non-metal objects 1b using a sorter 10 comprising a metal sensor 2, a color camera 3, an air valve 4, and a conveyor 5, wherein a fixed distance is provided between the metal objects 1a.sub.1, 1a.sub.2 adjacent to each other so as to prevent the non-metal objects 1b between the metal objects 1a.sub.1, 1a.sub.2 from being erroneously detected, when detecting the metal objects 1a.sub.1, 1a.sub.2 in the electronic and electrical device component scrap 1 by the metal sensor 2.

A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.

An optical sorter includes an intermittent light source configured to intermittently emit light toward a plurality of sorting targets in transit, an optical sensor configured to detect the light associated with one sorting target among the plurality of sorting targets in transit during a plurality of intermittent light scan periods, a determination part configured to determine a foreign object and/or a defective product with respect to the one sorting target based on a signal acquired by the optical sensor, and a light source control part configured to control the intermittent light source. The light source control part is configured to control the intermittent light source in such a manner that, in a case where the intermittent light source is turned on during at least one intermittent light scan period among the plurality of intermittent light scan periods, a lighting period during which the intermittent light source is on and a non-lighting period during which the intermittent light source is off are provided and the lighting period is started at a timing delayed behind a start of the at least one intermittent light scan period in each of the at least one intermittent light scan period.

Aluminum scrap pieces are sorted into selected alloys and then fed into a vacuum smelting furnace to melt. The aluminum scrap pieces may be sorted into various cast aluminum alloy series, wrought aluminum alloy series, or extrusion aluminum alloy series. The sorting may be performed using x-ray fluorescence, artificial intelligence, or laser induced breakdown spectroscopy.

Recycling systems can include a conveyor system, an optical device, and a processor operable to detect, identify, and count redeemable objects. The conveyor system can include a plurality of bins and be configured to move the bins from a first end of the conveyor system to a second end of the conveyor system. The optical device can be situated and configured to capture an image of a plurality of objects within a bin of the conveyor system. A processor including computer-readable instructions can be configured to detect and identify the objects within an image captured by the optical device as belonging to one or more object classes. Each object class can determine whether an object is redeemable or unredeemable. The processor can be configured to provide a count of only those objects identified as redeemable.

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.

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.