“…Inspired by the human visual system (HVS) with low redundancy, low latency, high dynamics, and adaptation, a neuromorphic vision system (NVS) based on optoelectronic synapses is being considered to provide an effective path to break through the bottleneck of the conventional artificial vision system (AVS). − Currently, NVSs exhibit powerful visual information preprocessing capabilities, such as image contrast enhancement, , image denoising, , feature extraction, , pattern recognition, − and motion detection, − thereby addressing the main problem of the traditional AVS, which demands vast computing resources to process gigantic redundant data . In situ storage has also been successfully achieved at the sensor end owing to optoelectronic synapses that mimic visual learning and memory, thereby considerably reducing the dependence on system memory. − Moreover, optoelectronic synapses with visual adaptation can actively adjust NVSs to match new visual tasks in varying environments and successfully adapt to bright/dark conditions and various visual angles. − To achieve ultrafast vision, based on the nonlinear photoresponse and positive/negative photoconductive behaviors of optoelectronic synapses, NVSs can handle inputting visual information at the sensors end in real time via reservoir computing − and convolution operation, which can address high transmission delay limitation of the AVS with separated architectures. − …”