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

Author:

Ma Shunli1ORCID,Wu Tianxiang1ORCID,Chen Xinyu1ORCID,Wang Yin1,Ma Jingyi1,Chen Honglei1,Riaud Antoine1ORCID,Wan Jing2,Xu Zihan3,Chen Lin1,Ren Junyan1,Zhang David Wei1,Zhou Peng1ORCID,Chai Yang4ORCID,Bao Wenzhong1ORCID

Affiliation:

1. State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.

2. State Key Laboratory of ASIC and System, School of Information Science and Technology, Fudan University, Shanghai 200433, China.

3. Shenzhen Sixcarbon Technology, 188 Jiangshi Road, Shenzhen 518106, China.

4. Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3