Fluid flow control is of great economical interests in many fields of applications. Controlling a flow consists in changing its state or to maintain it in its current state. In this presentation, we show that existing flow control methods suffer from limited observations, from measurements noise, and from the initialization process involved in the observer required to reconstruct the flow state. To deal with these issues, we present a very promising approach: the vision-based approach.