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A Gate Multiplexing Architecture-Based Artificial Visual Sensor and Memory System
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DOI：10.1002/aisy.202200298.png)
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摘要
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The human visual system plays the most important role in information perception. Inspired by its structure and processing mechanism, novel optoelectronic memristor-based artificial visual systems have emerged, thanks to the advantages of time latency and energy efficiency. However, the established systems lack a complete hardware supporting system to demonstrate the potential of large-scale integration. Herein for the first time, a gate multiplexing architecture for optical signal sensor and memory integration is proposed, which can achieve multivalue storage of 3-bit optical signal in the analog domain. Based on this novel structure, an artificial visual sensor and memory system (AVSMS) is implemented with a 5 x 6 photodiode array, an I/V conversion circuit, and a 32 x 32 1T1R memristor array for image sensor and memory integration. Furthermore, a parallel pipeline storage strategy is proposed to enable AVSMS to store 32 images with a size of 5 x 6 pixels and 3-bit grayscale without erasing operation and achieve an ideal frame rate of more than 60 000 frames per second for high-speed storage. Experimental results demonstrate that AVSMS can directly eliminate repeated background information in sequential images through peripheral hardware circuitry. The AVSMS provides a promising hardware solution for large-scale image sensor and memory integration in artificial visual systems.
Keyword:
artificial visual systems
gate multiplexing architectures
motion track recognition
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6.1
论文数:
2.0K
被引数:
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