A method of sorting is described and which includes a step of acquiring a multiplicity of synchronized image signals of a product stream which is to be sorted; generating a multiplicity of fused sensor signals; forming an image model previously acquired from the objects to be sorted; identifying objects in the product stream, and generating object presence and defect signals; determining a spatial orientation of the objects in the product stream; detecting the defects and removing the defects from the product stream.

A sorting apparatus is described and which includes a selectively heated avalanche photodiode (APD) which is maintained at a predetermined temperature and which further demonstrates a higher gain and signal-to-noise ratio with greater stability at a predetermined temperature for enhancing sorting efficiency.

A system and a method of sorting scrap particles is provided. A moving conveyor containing scrap particles is imaged using a vision system to create a vision image corresponding to a timed location of the conveyor, and is sensed using a sensing system to create a sensing matrix corresponding to the timed location. The sensing system has at least one array of analog proximity sensors. A control system analyzes the vision image as a vision matrix of cells, and generates a vision vector containing vision data from the vision matrix for the particle. The control system analyzes the sensing matrix, and generates a sensing data vector containing sensing data from the sensing matrix for the particle. The control system classifies the particle into one of at least two classifications of a material as a function of the vision data vector and the sensing data vector.

Provided is a method for blending of agricultural product utilizing hyperspectral imaging. At least one region along a sample of agricultural product is scanned using at least one light source of different wavelengths. Hyperspectral images are generated from the at least one region. A spectral fingerprint for the sample of agricultural product is formed from the hyperspectral images. A plurality of samples of agricultural product is blended based on the spectral fingerprints of the samples according to parameters determined by executing a blending algorithm.

In an optical sorter that includes an optical detection unit to detect a to-be-sorted material at a detection position, a determining unit to determine a to-be-sorted material to be removed, based on a detection result by the optical detection unit, and an air-jetting unit to blow off and remove the to-be-sorted material to be removed using jet air of a compressed gas, based on a determination result by the determining unit, the air-jetting unit includes a piezoelectric valve to perform valve opening and closing by driving a valve disc utilizing displacement of a piezoelectric element, and a valve driving unit to apply a drive voltage to the piezoelectric element, and the valve driving unit controls the drive voltage applied to the piezoelectric element in accordance with the to-be-sorted material to be removed to thus control a jet-air pressure of the compressed gas for removing the to-be-sorted material.

A method for removing foreign matter from an agricultural product stream of a manufacturing process. The method includes conveying a product stream past an inspection station; scanning a region of the agricultural product stream as it passes the inspection station using at least one light source of a single or different wavelengths; generating hyperspectral images from the scanned region; determining a spectral fingerprint for the agricultural product stream from the hyperspectral images; comparing the spectral fingerprint obtained in step (c) to a spectral fingerprint database containing a plurality of fingerprints using a computer processor to determine whether foreign matter is present and, if present, generating a signal in response thereto; and removing a portion of the conveyed product stream in response to the signal. A system for detecting foreign matter within an agricultural product stream is also provided.

An object detection method includes an electromagnetic radiation emitter, and an electromagnetic radiation detector on a first side of an inspection zone, a reflective background on a second side of the inspection zone and a controller operably connected to the emitter and the detector to measure/determine a first time of travel for emitted electromagnetic radiation waves/pulses to travel from the emitter, to the reflective background, and return to the detector, and to measure/determine a second time of travel for emitted electromagnetic radiation waves/pulses to travel from the emitter of electromagnetic radiation to objects of interest passing through the inspection zone along an unsupported path of travel and to be reflected to the electromagnetic radiation detector, and any determined time of travel which varies from the first time of travel is evidence there is an object within the inspection zone and between the emitter and the reflective background.

A method and a device for separation of at least one catalyst and/or adsorbent from a homogeneous mixture of catalysts and/or adsorbents containing one or more metal, semi-metal or non-metal contaminant(s) deposited thereon, making it possible to separate catalysts or adsorbents according to the presence or absence of contaminant and also according to the contaminant content, starting from a sorting threshold that corresponds to a content and that is defined by the operator.

Provided is a method for processing electronic and electrical device component scrap, which can improve an efficiency of sorting of raw materials fed to the smelting step from electronic and electrical device component scrap, and reduce losses of valuable metals. A method for processing electronic and electrical device component scrap which includes removing powdery objects contained in electronic and electrical device component scrap prior to a step of separating non-metal objects or metal objects from the electronic and electrical device component scrap containing the metal objects and the non-metal objects, using a metal sorter including: a metal sensor, a color camera, an air valve, and a conveyor.

Provided is a method for blending of agricultural product utilizing hyperspectral imaging. At least one region along a sample of agricultural product is scanned using at least one light source of different wavelengths. Hyperspectral images are generated from the at least one region. A spectral fingerprint for the sample of agricultural product is formed from the hyperspectral images. A plurality of samples of agricultural product is blended based on the spectral fingerprints of the samples according to parameters determined by executing a blending algorithm.