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利用光可调记忆矩阵对视觉运动进行并行感知。

Parallel perception of visual motion using light-tunable memory matrix.

作者信息

Pan Xuan, Shi Jingwen, Wang Pengfei, Wang Shuang, Pan Chen, Yu Wentao, Cheng Bin, Liang Shi-Jun, Miao Feng

机构信息

Institute of Brain-Inspired Intelligence, National Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.

Institute of Interdisciplinary Physical Sciences, School of Science, Nanjing University of Science and Technology, Nanjing 210094, China.

出版信息

Sci Adv. 2023 Sep 29;9(39):eadi4083. doi: 10.1126/sciadv.adi4083.

Abstract

Parallel perception of visual motion is of crucial significance to the development of an intelligent machine vision system. However, implementing in-sensor parallel visual motion perception using conventional complementary metal-oxide semiconductor technology is challenging, because the temporal and spatial information embedded in motion cannot be simultaneously encoded and perceived at the sensory level. Here, we demonstrate the parallel perception of diverse motion modes at the sensor level by exploiting light-tunable memory matrix in a van der Waals (vdW) heterostructure array. The optoelectronic characteristics of gate-tunable photoconductivity and light-tunable memory matrix enable devices in the array to realize simultaneous encoding and processing of incoming spatiotemporal light pattern. Furthermore, we implement a visual motion perceptron with the array capable of deciphering multiple motion parameters in parallel, including direction, velocity, acceleration, and angular velocity. Our work opens up a promising venue for the realization of an intelligent machine vision system based on in-sensor motion perception.

摘要

视觉运动的并行感知对于智能机器视觉系统的发展至关重要。然而,使用传统的互补金属氧化物半导体技术在传感器内实现并行视觉运动感知具有挑战性,因为运动中嵌入的时间和空间信息无法在传感层面同时进行编码和感知。在此,我们通过利用范德华(vdW)异质结构阵列中的光可调谐记忆矩阵,展示了在传感器层面上对多种运动模式的并行感知。栅极可调光导率和光可调谐记忆矩阵的光电特性使阵列中的器件能够实现对输入时空光模式的同时编码和处理。此外,我们用该阵列实现了一个视觉运动感知器,它能够并行解读多个运动参数,包括方向、速度、加速度和角速度。我们的工作为基于传感器内运动感知的智能机器视觉系统的实现开辟了一个有前景的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8f6/10541003/a050ca86cb1c/sciadv.adi4083-f1.jpg

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