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In the field of machine vision, object tracking is one of the crucial topics. Tracking is the positioning process of moving targets by means of a camera. Nowadays, image processing systems are used in different usages. In the current research, at first, the object will be selected by image processing in Python with opencv and color detection. For better control, then the necessary calculations will bedonein the programmable logic controller (plc), and finally, through the control area network (CAN) protocol, the object's position will be transferred to two servomotors in both X and Y directions. Due to the fact that the engines velocity will be proportional to the object movement speed, the selected object will be traced in real time.

Identifying and Tracking the Object Motion Path By Means Of Image Processing In Python through the CanopenProtocol