Intelligent Optoelectronic Devices for Next-Generation Artificial Machine Vision,Advanced Electronic Materials

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Intelligent Optoelectronic Devices for Next-Generation Artificial Machine Vision
Advanced Electronic Materials ( IF 5.3 ) Pub Date : 2022-09-08 , DOI: 10.1002/aelm.202200668
Weilin Chen _{1,

2} , Gang Liu ₁

Affiliation

Machine vision technology is a thriving interdisciplinary subject to simulate human vision-related intelligent behaviors, which has played an increasingly important role in various fields, especially in artificial intelligence and big-data eras. However, the existing silicon-based machine vision technology (s-MVT) has been plagued by complex and inefficient von Neumann architecture, thus gradually becoming overwhelmed when handling high-throughput parallel tasks. The emerging bionic machine vision technology (b-MVT) with new materials, working principles, and architectures are attracting ever-increasing attention, which simulates the structure-function relationship of the human visual system and shows great potential in processing optical information efficiently with low power consumption. In this review, the recent developments achieved in the b-MVT are summarized, with a particular emphasis on material selection, device fabrication and performance, as well as several popular neural networks for back-end image recognition. A summary and critical challenges of the b-MVT are also discussed.

中文翻译：

用于下一代人工机器视觉的智能光电器件

机器视觉技术是模拟人类视觉相关智能行为的一门蓬勃发展的交叉学科，在各个领域尤其是人工智能和大数据时代发挥着越来越重要的作用。然而，现有的基于硅的机器视觉技术（s-MVT）一直受到复杂且低效的冯诺依曼架构的困扰，从而在处理高吞吐量并行任务时逐渐变得不堪重负。新兴的仿生机器视觉技术（bionic machine vision technology，b-MVT）以新材料、新工作原理、新架构吸引了越来越多的关注，它模拟了人类视觉系统的结构-功能关系，在高效、低成本地处理光学信息方面显示出巨大潜力。能量消耗。在这篇评论中，总结了 b-MVT 的最新进展，特别强调了材料选择、设备制造和性能，以及用于后端图像识别的几种流行神经网络。还讨论了 b-MVT 的总结和关键挑战。

更新日期：2022-09-08

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