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

Engineering and Technology

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

L. Li, S. Li, et al.

Discover how innovative avalanche tuning as feedforward inhibition in a bionic 2D transistor allows for ultra-fast visual adaptation. This remarkable research carried out by authors including Ling Li and Shasha Li introduces an advanced machine vision system that boasts microsecond-level adaptation and unprecedented image recognition capabilities.

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Playback language: English
Abstract
This paper proposes avalanche tuning as feedforward inhibition in a bionic two-dimensional (2D) transistor for fast visual adaptation. The bionic transistor switches between linear and photoconductive effects, achieving ultra-fast adaptive and photopic adaptation. Combined with convolutional neural networks, this creates an adaptive machine vision system with microsecond-level rapid adaptation and robust image recognition.
Publisher
Nature Communications
Published On
Jul 24, 2024
Authors
Ling Li, Shasha Li, Wenhai Wang, Jielian Zhang, Yiming Sun, Qunrui Deng, Tao Zheng, Jianting Lu, Wei Gao, Mengmeng Yang, Hanyu Wang, Yuan Pan, Xueting Liu, Yani Yang, Jingbo Li, Nengjie Huo
Tags
avalanche tuning
bionic transistor
visual adaptation
machine vision
photoresponsive
neural networks
image recognition

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