Researchers from the University of Michigan have developed a motion tracking system with a key component of graphene photodetectors. The system uses transparent light detectors with advanced neural network methods and has a variety of uses.
Graphene is reportedly used due to its sensitivity to light, which allows it to generate images for reconstruction. They plan on using neural network training methods to teach the system to detect images and interpret them instantly.
For more information about the technology, see this article by Graphene Info.