Fast detection, position and classification of moving objects on production line

This paper presents a decision analysis method for detection, position and classification of moving objects on automatic production line. The decision is based on the coordinates of moving objects in the image frames, and the displacement information provided by servo motor control synchronized with a conveyor belt. Multiple objects to identify duplication or omission can be avoided. The method for smart packing robot can provide reliable location information of measured objects.