Optical system for measuring position of metallic colored pellets on a platform.

Abstract

This thesis is the result of an investigation research on alternatives to develop a computerized vision system to measure the position of colored pellets on a planar noncontact magnetic manipulation platform (MagMan). This has been achieved before using MATLAB & Simulink environment, however, this thesis explores different options in order to improve the processing performance. First, the problem is going to be defined to set goals and objectives. Second, the research work is going to be discussed with the purpose of selecting and then describing the most adequate environment of the new computer vision system. The image processing methods considered for implementation are explained in the main body of the work, covering mainly color-detection techniques and object position measuring algorithms; which derived two productions: in Verilog Hardware Description Language and C code; both implemented on a Terasic tPad. The design processes in which the vision systems were implemented is included, both deviations are characterized in detail and then tested and compared against each other to finally conclude which is more effective to solve the given problem.