More than 80% of biological learning information is received through the visual system; therefore, artificial vision systems have garnered continual interest in the field of artificial intelligence technologies. Simulating the activities of a range of human vision systems, such as discrimination, memory, and induced muscular activity, which still remains a challenge. The authors develop a high-speed multifunctional artificial vision system capable of recognizing, memorizing, and actuating self-protection by combining a Sb 2 Se 3 /CdS-core/shell (SC) nanorod array optoelectronic memristor, a threshold-switching memristor, and an electrochemical actuator. When an optoelectronic memristor is activated, it can cause an electrochemical actuator to move, simulating the eye muscle contraction and reproducing the self-protection response of closing eyes when the human eyes are injured by intense light. Light absorption and charge carrier extraction are advantages of optoelectronic memristors with high-quality SC nanorod arrays. The device achieves a fast response speed and a large response current of up to 40 µs and 0.8 µA. Artificial vision systems offer a potential technique for bionanotechnology, particularly in the domain of artificial intelligence simulation of biosensor systems.