Adaptative machine vision with microsecond-level accurate perception beyond human retina

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書目詳細資料
發表在:	Nature Communications vol. 15, no. 1 (2024), p. 6261
主要作者:	Li, Ling
其他作者:	Li, Shasha, Wang, Wenhai, Zhang, Jielian, Sun, Yiming, Deng, Qunrui, Zheng, Tao, Lu, Jianting, Gao, Wei, Yang, Mengmeng, Wang, Hanyu, Pan, Yuan, Liu, Xueting, Yang, Yani, Li, Jingbo, Huo, Nengjie
出版:	Nature Publishing Group
主題:	Visual perception Light intensity Algorithms Luminous intensity Vision systems Artificial neural networks Adaptation Visual pathways Circuits Transistors Visual effects Visual perception driven algorithms Retina Adaptive algorithms Adaptive systems Avalanche transistors Machine vision Bionics Images Information processing Neural networks Environmental
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實物特徵
Resumen:	Visual adaptive devices have potential to simplify circuits and algorithms in machine vision systems to adapt and perceive images with varying brightness levels, which is however limited by sluggish adaptation process. Here, the avalanche tuning as feedforward inhibition in bionic two-dimensional (2D) transistor is proposed for fast and high-frequency visual adaptation behavior with microsecond-level accurate perception, the adaptation speed is over 104 times faster than that of human retina and reported bionic sensors. As light intensity changes, the bionic transistor spontaneously switches between avalanche and photoconductive effect, varying responsivity in both magnitude and sign (from 7.6 × 104 to −1 × 103 A/W), thereby achieving ultra-fast scotopic and photopic adaptation process of 108 and 268 μs, respectively. By further combining convolutional neural networks with avalanche-tuned bionic transistor, an adaptative machine vision is achieved with remarkable microsecond-level rapid adaptation capabilities and robust image recognition with over 98% precision in both dim and bright conditions.Visual adaptive devices show promise for simplifying circuits and algorithms in machine vision systems. Here, the authors report a visual adaptive transistor with tunable avalanche effects and microsecond-level bionic vision capabilities, recognizing images in dim and bright conditions with over 98% accuracy.
ISSN:	2041-1723
DOI:	10.1038/s41467-024-50488-6
Fuente:	Health & Medical Collection