Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoir (Adv. Sci. 15/2022)

Lao, Jie; Yan, Mengge; Tian, Bobo; Jiang, Chunli; Luo, Cheng; Xie, Zhuozhuang; Zhu, Qiuxiang; Bao, Zhi-qiang; Zhong, Nanshan; Tang, Xiaodong; Sun, Liying; Wu, Guangjian; Wang, Jianlu; Hui, Pei; Chu, Junhao; Duan, Chun‐Gang

doi:10.1002/advs.202270094

Cited by 18 publications

(30 citation statements)

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“…Therefore, such controllable polarization‐dependent visual adaptability would contribute a lot to the new‐generation machine vision in the complex and polytropic polarization–electricity hybrid environments. [ 46–50 ]…”

Section: Resultsmentioning

confidence: 99%

Porous Metal–Organic Framework/ReS₂ Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation

et al. 2023

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Visual adaptation allows organisms to accurately perceive the external world even in dramatically changing environments, from dim starlight to bright sunlight. In particular, polarization-sensitive visual adaptation can effectively process the polarized visual information that is ubiquitous in nature. However, such an intriguing characteristic still remains a great challenge in semiconductor devices. Herein, a novel porous metal-organic-framework phototransistor with anisotropic-ReS 2 -based heterojunction is demonstrated for polarization-sensitive visual adaptation emulation. The device exhibits intriguing polarized sensitivity and an adaptive ability due to its strong anisotropic and trapping-detrapping characteristics, respectively. A series of polarization-sensitive neuromorphic behaviors like polarization-perceptual excitatory postsynaptic current, multimode adjustable dichroic ratio and reconfigurable sensory adaption, are experimentally demonstrated through this porous heterojunction phototransistor. More importantly, with the polarization-electricity cooperation strategy, advanced polarization-sensitive visual adaptation with strong bottom-gate control and environment dependence is successfully realized. These results represent a significant step toward the new generation of intelligent visual perception systems in autonomous navigation and human-machine interaction, etc.

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Section: Resultsmentioning

confidence: 99%

Porous Metal–Organic Framework/ReS₂ Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation

et al. 2023

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“…Maximum and average CR values of 1.53×10 3 (Figure S19, Supporting Information) and 1.08×10 3 for 12 devices (Figure S20 and Figure S21, Supporting Information) are obtained under 1.7 mW cm −2 light and 10 pulse numbers in IPSC mode, which far transcends the reported light‐stimulated synapses as shown in Figure 3i. [ 2,41,54–61 ] The predominant performance can be attributed to the highly ordered structure, flat interface, and ultrathin thickness of 2DMC heterojunction that can efficiently convert light signal to electrical signal and reduce the scattering and recombination of carriers. Therefore, 2DMC heterojunctions are potential candidates for image recognition and motion detection with high accuracy.…”

Section: Resultsmentioning

confidence: 99%

High‐Contrast Bidirectional Optoelectronic Synapses based on 2D Molecular Crystal Heterojunctions for Motion Detection

et al. 2023

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Light‐stimulated optoelectronic synaptic devices are fundamental compositions of the neuromorphic vision system. However, there are still huge challenges to achieving both bidirectional synaptic behaviors under light stimuli and high performance. Herein, a bilayer 2D molecular crystal (2DMC) p‐n heterojunction is developed to achieve high‐performance bidirectional synaptic behaviors. The 2DMC heterojunction‐based field effect transistor (FET) devices exhibit typical ambipolar properties and remarkable responsivity (R) of 3.58×104 A W−1 under weak light as low as 0.008 mW cm−2. Excitatory and inhibitory synaptic behaviors are successfully realized by the same light stimuli under different gate voltages. Moreover, a superior contrast ratio (CR) of 1.53×103 is demonstrated by the ultrathin and high‐quality 2DMC heterojunction, which transcends previous optoelectronic synapses and enables application for the motion detection of the pendulum. Furthermore, a motion detection network based on the device is developed to detect and recognize classic motion vehicles in road traffic with an accuracy exceeding 90%. This work provides an effective strategy for developing high‐contrast bidirectional optoelectronic synapses and shows great potential in the intelligent bionic device and future artificial vision.

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“…[ 25,27,28 ] The reservoir‐based signal processing is high speed, low cost, and energy efficient, therefore, serves as an ideal candidate to be integrated with the sensors for the implementation of near‐sensor computing paradigm. [ 27,29–31 ]…”

Section: Introductionmentioning

confidence: 99%

Near‐Sensor Reservoir Computing for Gait Recognition via a Multi‐Gate Electrolyte‐Gated Transistor

et al. 2023

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The recent emergence of various smart wearable electronics has furnished the rapid development of human-computer interaction, medical health monitoring technologies, etc. Unfortunately, processing redundant motion and physiological data acquired by multiple wearable sensors using conventional off-site digital computers typically result in serious latency and energy consumption problems. In this work, a multi-gate electrolyte-gated transistor (EGT)-based reservoir device for efficient multi-channel near-sensor computing is reported. The EGT, exhibiting rich short-term dynamics under voltage modulation, can implement nonlinear parallel integration of the time-series signals thus extracting the temporal features such as the synchronization state and collective frequency in the inputs. The flexible EGT integrated with pressure sensors can perform on-site gait information analysis, enabling the identification of motion behaviors and Parkinson's disease. This near-sensor reservoir computing system offers a new route for rapid analysis of the motion and physiological signals with significantly improved efficiency and will lead to robust smart flexible wearable electronics.

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Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoir (Adv. Sci. 15/2022)

Cited by 18 publications

References 0 publications

Porous Metal–Organic Framework/ReS₂ Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation

Porous Metal–Organic Framework/ReS₂ Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation

High‐Contrast Bidirectional Optoelectronic Synapses based on 2D Molecular Crystal Heterojunctions for Motion Detection

Near‐Sensor Reservoir Computing for Gait Recognition via a Multi‐Gate Electrolyte‐Gated Transistor

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Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoir (Adv. Sci. 15/2022)

Cited by 18 publications

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Porous Metal–Organic Framework/ReS2 Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation

Porous Metal–Organic Framework/ReS2 Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation

High‐Contrast Bidirectional Optoelectronic Synapses based on 2D Molecular Crystal Heterojunctions for Motion Detection

Near‐Sensor Reservoir Computing for Gait Recognition via a Multi‐Gate Electrolyte‐Gated Transistor

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Porous Metal–Organic Framework/ReS₂ Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation

Porous Metal–Organic Framework/ReS₂ Heterojunction Phototransistor for Polarization‐Sensitive Visual Adaptation Emulation