Abstract: A mercury emissions monitor includes a mercury sensor tape configured to be fed in a reel-to-reel manner between first and second tape reels, wherein the mercury sensor tape includes a thin metallic film configured to form an amalgam with detected mercury. A mercury collection unit is configured to receive into a chamber a sample of a gas containing mercury, wherein the mercury collection unit is further configured to permit passage of portions of the mercury sensor tape through the chamber containing the gas sample so that the amalgam is formed with the thin metallic film. A mercury analysis unit includes a total reflection x-ray fluorescence (“TXRF”) system configured to perform a TXRF analysis of the amalgam, wherein the mercury analysis unit is configured to permit passage of the mercury sensor tape within a proximity of an XRF detector of the TXRF system.

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, extruded aluminum, or cast aluminum.

Abstract: A system and method for detecting, measuring, and analyzing for metallic impurities in pharmaceutical drugs and compounds utilizes an x-ray fluorescence system. The system and method may be co-located with a pharmaceutical manufacturing process for in-line continuous monitoring of metal impurities. The pharmaceutical products may be in a form selected from a powder, slurry, pill, tablet, and gel.

Abstract: 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.

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.

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. 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.

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 have a specified geometric shape. Such a system can sort monetary coins or other valuable metals from other forms of scrap.

Abstract: A linear x-ray tube having one or more x-ray sources is configured for insertion into the soil in proximity to a root system of a plant for emission of an x-ray beam detected by a linear array of one or more x-ray detectors. The linear x-ray tube and detector array may be inserted into rhizotrons previously inserted into the soil. Various combinations of multiple x-ray tubes and/or detector arrays may be utilized to customize the x-ray imaging of the root system.

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.

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 have a specified geometric shape. Such a system can sort monetary coins or other valuable metals from other forms of scrap.

Abstract: 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.