Abstract: A system and method for detecting multiple object conditions, such as side-by-side and overlapped objects, such as packages, on a conveyor. The system includes at least one machine vision system including at least one machine vision camera, at least one illumination subsystem and at least one machine vision computer. The illumination subsystem(s) is configured to illuminate a plurality of objects as they are conveyed past at least one field of view at an inspection station along a conveyor belt. Each machine vision camera is positioned to capture one or more images of the objects as the objects are conveyed past the field of view(s). Each machine vision computer is programmed to detect the presence of multiple object conditions by detecting and counting the number of edges appearing in an image of an object captured by one of the machine vision cameras. The method illuminates at least one object as it passes through the field of view, at which time at least one image of the object is captured.

Abstract: A system and method for detecting multiple object conditions, such as side-by-side and overlapped objects, such as packages, on a conveyor. The system includes at least one machine vision system including at least one machine vision camera, at least one illumination subsystem and at least one machine vision computer. The illumination subsystem(s) is configured to illuminate a plurality of objects as they are conveyed past at least one field of view at an inspection station along a conveyor belt. Each machine vision camera is positioned to capture one or more images of the objects as the objects are conveyed past the field of view(s). Each machine vision computer is programmed to detect the presence of multiple object conditions by detecting and counting the number of edges appearing in an image of an object captured by one of the machine vision cameras. The method illuminates at least one object as it passes through the field of view, at which time at least one image of the object is captured.

Abstract: A system and method for detecting objects in a tray door of an automatic sorter machine. The system includes at least one machine vision camera, at least one illumination subsystem and at least one machine vision computer. The illumination subsystem is configured to illuminate a tray door, e.g., using a plurality of lines, as it is conveyed past at least one field of view at an inspection station within the sorter machine. Each camera is positioned to capture one or more images of the tray doors while in the field of view. Each computer is programmed to detect the presence of objects by detecting and counting the number of lines appearing in the captured image(s). If the number of lines are less than an expected number, are shorter than an expected length, or appear to be bent, an object detection condition is asserted.