An automated object sorting system is provided. In various embodiments, the automated object sorting system includes an automated object extraction assembly and an automated object collection assembly. The automated object extraction assembly extracts one or more objects from an object sorting tray based on one or more attributes and/or traits of interest. The automated collection assembly selectively deposits the extracted objects in selected collection receptacles according to the particular attributes and/or traits of each respective object.

A food processing device comprising a conveyor, a processor configured for receiving image data representing images of the food items, and a plurality of workstations arranged along the conveyor system. The avoid time consuming processing of food items, the processor is configured to provide a processing indicator which indicates whether the food items need further processing or not and the device comprises an identification structure configured to identify food items which are selected for further processing such that they are distinguished from food items not being selected for further processing based on the processing indicator.

An apparatus for sorting is described and includes 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.

An apparatus for sorting is described and includes 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.

An automated food waste processing system including an enclosure secured to prevent unauthorized access to contents contained therein, the enclosure including a plurality of exterior walls and a food waste processing system housed within the enclosure. The food waste processing system including an imaging system configured to capture a plurality of images of the food waste and the non-biodegradable material received by the sorting receptacle, a processing system configured to process the plurality of images using a trained neural network to identify at least plastic waste and metal waste as the non-biodegradable material when included in the food waste input stream as received by the sorting receptacle, and a sorting system configured to, in response to instructions received from the processing system, automatically locate and remove the non-biodegradable material from the sorting receptacle to create a bio-degradable input stream to the anaerobic digester.

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.

Food products (22) being transported on a conveyor (24) are scanned to ascertain if designated desired physical parameters are met. If so, the food products (22) are allowed to continue along a processing path. If not, the food products are diverted from the processing path by a diverter system (30) consisting of the plurality of individually operated diverter units positioned across the width of the conveyor. The diverter units (32) are controlled by a control system (28) so that only the diverter units in alignment with work products (22) to be diverted are actuated thereby to remove the work product from the processing path (25).

An object sorting system is presented which includes a hopper, a feeder, a roller pair, a pair of orientation flaps, an adjustable assembly, a first and second camera boxes and an ejection assembly. Feeder receives the shells from the hopper and feeds them uniformly over the gap between the rollers which guides and provides fixed orientation to the shells passing through them and conveys the shells which are relatively bigger than the gap between the rollers to one side of the pair of rollers towards the first collection chute by inclining the roller assembly in the range of 0 to 15 degrees towards the first collection chute. A pair of orientation flaps is placed parallel and exactly below the pair of rollers to avoid the deflection of shells caused immediately after passing through the roller gaps.

A method of producing gluten-free oats from a supply of grains incorporating oats and at least one contaminant grain includes hyperspectral imaging and analyzing data of only a particular region of interest of each grain in the supply of grains, particularly excluding tip and peripheral edge regions of the grain. Therefore, the particular regions of interest is limited to a central region of each grain determined by locating a centroid of the grain and collecting data of the grain from only pixels in a predetermined spacing from the centroid. Preferably, the hyperspectral imaging is only performed in wavelengths ranging from 1000 to 2500 nm. The method can be particularly employed in connection with quality control sampling of a pre-sorted supply of gluten-free oats to assure a gluten level well below 20 ppm, preferably a gluten level of no greater than 10 ppm.

Disclosed is an inspection system having a background positioned adjacent an inspection zone; and an image capturing device configured to receive background electromagnetic radiation (EMR) from the background and from the inspection zone, the inspection zone being configured and arranged to receive material for transport into the inspection zone; wherein the background has a background property defined by a background emission, a background absorbance, and a background reflectance, the background property being matched in EMR to a material EMR of material to be transported into the inspection zone, the material having a material property defined by a material emission, a material absorbance, and a material reflectance; and wherein the image capturing device is configured to detect a foreign object within material when transported into the inspection zone by deducting the background EMR from the material EMR.