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A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors

The rapid development of machine vision applications demands hardware that can sense and process visual information in a single monolithic unit to avoid redundant data transfer. Here, we design and demonstrate a monolithic vision enhancement chip with light-sensing, memory, digital-to-analog convers...

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Autores principales: Ma, Shunli, Wu, Tianxiang, Chen, Xinyu, Wang, Yin, Ma, Jingyi, Chen, Honglei, Riaud, Antoine, Wan, Jing, Xu, Zihan, Chen, Lin, Ren, Junyan, Zhang, David Wei, Zhou, Peng, Chai, Yang, Bao, Wenzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348785/
https://www.ncbi.nlm.nih.gov/pubmed/35921422
http://dx.doi.org/10.1126/sciadv.abn9328
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author Ma, Shunli
Wu, Tianxiang
Chen, Xinyu
Wang, Yin
Ma, Jingyi
Chen, Honglei
Riaud, Antoine
Wan, Jing
Xu, Zihan
Chen, Lin
Ren, Junyan
Zhang, David Wei
Zhou, Peng
Chai, Yang
Bao, Wenzhong
author_facet Ma, Shunli
Wu, Tianxiang
Chen, Xinyu
Wang, Yin
Ma, Jingyi
Chen, Honglei
Riaud, Antoine
Wan, Jing
Xu, Zihan
Chen, Lin
Ren, Junyan
Zhang, David Wei
Zhou, Peng
Chai, Yang
Bao, Wenzhong
author_sort Ma, Shunli
collection PubMed
description The rapid development of machine vision applications demands hardware that can sense and process visual information in a single monolithic unit to avoid redundant data transfer. Here, we design and demonstrate a monolithic vision enhancement chip with light-sensing, memory, digital-to-analog conversion, and processing functions by implementing a 619-pixel with 8582 transistors and physical dimensions of 10 mm by 10 mm based on a wafer-scale two-dimensional (2D) monolayer molybdenum disulfide (MoS(2)). The light-sensing function with analog MoS(2) transistor circuits offers low noise and high photosensitivity. Furthermore, we adopt a MoS(2) analog processing circuit to dynamically adjust the photocurrent of individual imaging sensor, which yields a high dynamic light-sensing range greater than 90 decibels. The vision chip allows the applications for contrast enhancement and noise reduction of image processing. This large-scale monolithic chip based on 2D semiconductors shows multiple functions with light sensing, memory, and processing for artificial machine vision applications, exhibiting the potentials of 2D semiconductors for future electronics.
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spelling pubmed-93487852022-08-18 A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors Ma, Shunli Wu, Tianxiang Chen, Xinyu Wang, Yin Ma, Jingyi Chen, Honglei Riaud, Antoine Wan, Jing Xu, Zihan Chen, Lin Ren, Junyan Zhang, David Wei Zhou, Peng Chai, Yang Bao, Wenzhong Sci Adv Physical and Materials Sciences The rapid development of machine vision applications demands hardware that can sense and process visual information in a single monolithic unit to avoid redundant data transfer. Here, we design and demonstrate a monolithic vision enhancement chip with light-sensing, memory, digital-to-analog conversion, and processing functions by implementing a 619-pixel with 8582 transistors and physical dimensions of 10 mm by 10 mm based on a wafer-scale two-dimensional (2D) monolayer molybdenum disulfide (MoS(2)). The light-sensing function with analog MoS(2) transistor circuits offers low noise and high photosensitivity. Furthermore, we adopt a MoS(2) analog processing circuit to dynamically adjust the photocurrent of individual imaging sensor, which yields a high dynamic light-sensing range greater than 90 decibels. The vision chip allows the applications for contrast enhancement and noise reduction of image processing. This large-scale monolithic chip based on 2D semiconductors shows multiple functions with light sensing, memory, and processing for artificial machine vision applications, exhibiting the potentials of 2D semiconductors for future electronics. American Association for the Advancement of Science 2022-08-03 /pmc/articles/PMC9348785/ /pubmed/35921422 http://dx.doi.org/10.1126/sciadv.abn9328 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
Ma, Shunli
Wu, Tianxiang
Chen, Xinyu
Wang, Yin
Ma, Jingyi
Chen, Honglei
Riaud, Antoine
Wan, Jing
Xu, Zihan
Chen, Lin
Ren, Junyan
Zhang, David Wei
Zhou, Peng
Chai, Yang
Bao, Wenzhong
A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
title A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
title_full A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
title_fullStr A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
title_full_unstemmed A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
title_short A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
title_sort 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348785/
https://www.ncbi.nlm.nih.gov/pubmed/35921422
http://dx.doi.org/10.1126/sciadv.abn9328
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