Tetrachromatic optoelectronic transistor with multi-dimensional information processing functionality for in-sensor motion perception

Abstract

Bio-inspired visuomorphic vision integrates multi-dimensional information (spectrum, spatial, temporal, and so on), providing an effective computational paradigm for sensing a visual scene in the physical world. Using photosensors with multi-dimensional information processing functionality to split complex optical information into visible and ultraviolet channels for separate perception and processing is the basis for constructing tetrachromatic vision systems. Here, by modulating the transport dynamics of photogenerated excitons between pentacene and ZnO thin films, both wavelength-dependent volatile positive photoconductance and non-volatile negative photoconductance characteristics are coupled into a single optoelectronic transistor. Utilizing the optoelectronic transistor as the tetrachromatic sensor, the constructed in-sensor computing system can effectively extract and identify the types of visible objects (99%) and the motion direction of ultraviolet objects (97%). This work provides a foundational hardware platform for intelligent artificial vision systems.