Clinical trials reveal that current visual neuroprosthesis are not yet usable. The main reason is the small number of implanted electrodes, leading to a very poor visual resolution. The resolution is especially not sufficient to detect specific objects (faces, signs, etc.) in the surroundings. We used simulated prosthetic vision (SPV) to show that pre-processing of the camera image could restore these functions, even with low- resolution implants. Specifically, we showed that it is possible to quickly detect and localize human faces located nearby. We suggest that high-level processing of the video stream may be included in current visual neuroprosthesis. This would restore many visuomotor behaviors such as grasping, heading, steering, etc.