Light‐operated On‐chip Autonomous Vision Using Low‐dimensional Material Systems

Abstract Human‐brain inspired machine vision can revolutionise new technologies across sectors. Monolithic devices that are able to achieve image capture, processing, and storage with ultra‐low energy requirements can result in smart automation and enhance industrial output (both quality and quantity). This requires tapping into emerging novelties in materials physics, optical materials, and neuromorphic hardware. In this perspective, the author discusses the role of electrophotoactive low‐dimensional materials and how their unique intrinsic properties can be harnessed for futuristic machine vision systems in a major way. The author comments on some of the latest developments in 2D, 1D, and 0D material systems that have enabled smart devices and low‐energy neuromorphics. The perspective further critically assesses the challenges that the research community still needs to overcome and potential promising pathways to create miniaturized, highly efficient machine vision technologies that can transform healthcare, transport, and advanced manufacturing.