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Optically enhanced organic phototransistors for adaptive image processing under complex light conditions

  • He Shao
  • , Yu Ji
  • , Ruiheng Wang
  • , Jing Liu
  • , Yueqing Li
  • , Benxin Liu
  • , Wen Li
  • , Yannan Xie
  • , Linghai Xie*
  • , Johnny C. Ho
  • , Wei Huang
  • , Haifeng Ling
  • *此作品的通讯作者
  • Nanjing University of Posts and Telecommunications
  • City University of Hong Kong
  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

摘要

Effectively handling massive information in complex lighting conditions is crucial for security-focused machine vision, as it relies on precise image feature detection and encryption/decryption to ensure integrity and confidentiality. Traditional hardware, primarily based on complementary metal-oxide-semiconductor (CMOS) technology, struggles with the complexity of processing tasks around the clock. To address this challenge, a ternary organic heterostructure visuomorphic phototransistor was tailored for adaptive critical image processing. The light coupling induced by the porous heterostructural layer enhances the light absorption efficiency by 2.5-fold. Our phototransistor exhibits bidirectional photoresponse across the visible and near-infrared (NIR) spectral regions, enabling adaptive edge detection in varying lighting conditions with precision above 85 %. The phototransistor array facilitates image encryption/decryption with a superior accuracy of 12 %/90 % compared to existing counterparts. This ternary organic hetero-integration combines multiple response modes, enabling compact and efficient critical feature processing.

源语言英语
文章编号110133
期刊Nano Energy
130
DOI
出版状态已出版 - 11月 2024
已对外发布

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    可持续发展目标 7 经济适用的清洁能源

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