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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9348785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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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