The optic flow (OF) detection is a complex operation made by biological systems to perform complex tasks as navigation, movement detection or object segmentation within the visual scene. To accomplish this operation with artificial bio-inspired systems is a great challenge. This demo displays a motorized platform with a bio-inspired optical-flow detection sensor which tracks a selected target. The entire system is controlled through a low-cost microcontroller board that has been programmed with very low-level programming language to achieve high performance. The proposed platform can be applied to very different applications scenarios like the obstacle avoidance and the autonomous navigation. Its power consumption and the microcontroller computational load are quite reduced. A low resolution imager with only 18 ×18 pixels is employed.