Artificial retina with adjustable dynamic vision perception using carbon nanotubes and bacteriorhodopsin

With the development of artificial intelligence, it is important to obtain high-dimensional information of optical sensors from the device level in the intelligent era, especially visual dynamic features. It is difficult for the electronic vision system based on conventional photodetectors to capture these dynamic features. Based on the transient light response mechanism of the photosensitive protein bacteriorhodopsin (bR), an artificial retina with dynamic recognition ability has been developed. Inspired by the optical regulator cells in the human retina, we used carbon nanotubes (CNTs) and micropore/nanopore structures for controlling the photocurrent duration time (PDT). In addition, different dynamic recognition modes and applications were obtained by adjusting the PDT. By adjusting the PDT, the artificial retina demonstrated adaptive frame extraction based on its difference perception capability and dynamic trajectory capture based on its visual persistence capability.