Abstract: An apparatus for sorting and related methods are described and include 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for sorting items (16) computes the geometric center ("centroid") (156) of any item containing a defect (26) or multiple defects, and directs an ejection air blast at the centroid of the defective item rather than at the location of the defect. Video data from a scanning camera (24) are transmitted to an "item processor" (32A') and a "defect processor" (32). The item processor builds in memory (108) an image of every acceptable or defective item while the defect processor builds a "defect list" (170) of defect coordinate locations detected only on defective items. The defect processor transmits the defect list to the item processor where the defect list is compared with the stored image of the item. For each item containing at least one defect, the item processor computes a defective item centroid that is added to a defective items list (174) for use by a defect removal process that actuates air blasts directed toward the centers of defective items.

Abstract: A system and method for sorting items (16) computes the geometric center ("centroid") (156) of any item containing a defect (26) or multiple defects, and directs an ejection air blast at the centroid of the defective item rather than at the location of the defect. Video data from a scanning camera (24) are transmitted to an "item processor" (32A') and a "defect processor" (32). The item processor builds in memory (108) an image of every acceptable or defective item while the defect processor builds a "defect list" (170) of defect coordinate locations detected only on defective items. The defect processor transmits the defect list to the item processor where the defect list is compared with the stored image of the item. For each item containing at least one defect, the item processor computes a defective item centroid that is added to a defective items list (174) for use by a defect removal process that actuates air blasts directed toward the centers of defective items.

Abstract: Color sorting system and method which are particularly suitable for sorting fruits and vegetables. The objects to be sorted are scanned with a color video camera, and the signals from the camera are digitized and utilized to address a look up table. The look up table is preloaded to provide reject data at those addresses for colors to be rejected. Several techniques for loading the look up table are disclosed. Then, on an online basis, the successive images address the look up table and the reject data is analyzed to drive appropriate reject apparatus. In one embodiment, the data from the look up table is applied to a spatial filter, and objects are rejected only if they have a certain number or sequence of unacceptable colors.