This demonstrator explores the applicability of depth estimation based on stereo video with extremely low resolution, i.e., 3030 pixels. To handle this resolution, this paper proposes a disparity estimation technique, composed of local correlation-based matching of two low-resolution stereo images followed by segmentation-driven post-processing. The demonstrator includes a setup where a stereo visual sensor is connected to a laptop computer, running the proposed depth estimation method in real-time and displaying the resulting disparity maps. In addition, an interface is available to give the user control over the proposed algorithm parameters. To illustrate the superior performance, the results of proposed method can be readily compared to disparity maps generated using a typical global correlation-based depth estimation algorithm.