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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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Detalles Bibliográficos
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
Descripción
Sumario: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.