Scholarlink

<p>Image sensors in machine vision systems face significant challenges related to energy efficiency and processing capability when storing, transferring, and processing massive amounts of data. In humans, over 80% of brain-processed information is obtained through the eyes, which are capable of detecting and synchronously processing information with extremely low overall power consumption. Inspired by the biomimetics, we propose a Neuromorphic Electronic-Opto Spatial Temporal Imager (NEOSTI), one of the smallest electronic-opto fully integrated, eye-sized vision systems enabling acquisition and operation in typical indoor/outdoor non-coherent environments, under both natural and artificial lighting conditions without any extra requirement of the light source. NEOSTI combines processing-pre-sensor in optical domain, processing-in-sensor with nonlinear acquisition capability while optical to electronic converting, and processing-near-sensor in electronic domain, enabling parallel data computing capabilities while sensing. NEOSTI also integrates a low complexity Binary Neural Network to process image semantic information. It attains competitive performance in several visual processing tasks.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

NEOSTI - a neuromorphic electronic-opto spatial-temporal hybrid image sensor

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月26日

查看全文
  • Tianyi Liu,
  • Zheng Huang,
  • Xuecheng Wang,
  • Wanxin Shi,
  • Hongwei Chen,
  • Milin Zhang

摘要

Image sensors in machine vision systems face significant challenges related to energy efficiency and processing capability when storing, transferring, and processing massive amounts of data. In humans, over 80% of brain-processed information is obtained through the eyes, which are capable of detecting and synchronously processing information with extremely low overall power consumption. Inspired by the biomimetics, we propose a Neuromorphic Electronic-Opto Spatial Temporal Imager (NEOSTI), one of the smallest electronic-opto fully integrated, eye-sized vision systems enabling acquisition and operation in typical indoor/outdoor non-coherent environments, under both natural and artificial lighting conditions without any extra requirement of the light source. NEOSTI combines processing-pre-sensor in optical domain, processing-in-sensor with nonlinear acquisition capability while optical to electronic converting, and processing-near-sensor in electronic domain, enabling parallel data computing capabilities while sensing. NEOSTI also integrates a low complexity Binary Neural Network to process image semantic information. It attains competitive performance in several visual processing tasks.