The purpose of this thesis work is the development of an open-source industrial vision application for robot guidance, implemented in Python language using Open CV library. The developed program aims to be a free-of-license alternative to the industrial machine Supata®, entirely designed, realized, and programmed by E.P.F. Elettrotecnica. It consists of a vibrating platform (the Supata® itself), a camera with a light source, and a robot, to compose a smart feeder system that singularizes parts randomly loaded into it and prepares them for following stations. This work covers all the development phases of this application, from the initial camera configuration to the achievement of the final output: detect pieces that can be picked, their orientation and grip point's cartesian coordinates, and, finally, the density distribution on the platform.