智能制造背景下的感知系统目录摘要 ·······························································2智能感知技术 ·······················································2感知技术的必要性和紧迫性···········································2基于人体分析 ·······················································3基于行为分析 ·······················································3基于车辆分析 ·······················································4基于图像分析·······················································4智能感知技术在不同领域的应用 ·······································5我国开展感知信息技术具备有利条件 ···································6我国在开展感知技术方面的不足与改良方法·····························7世界各国对于智能制造的开展动向 ·····································7完毕语 ·····························································9参考文献 ···························································10摘要：当前，以移动互联网、物联网、云计算、大数据、人工智能等为代表的信息技术加速创新、融合和普与应用，一个万物互联智能化时代正在到来。感知信息技术以传感器为核心，结合射频、功率、微处理器、微能源等技术，是未来实现万物互联的根底性、决定性核心技术之一。尤其是，感知信息技术不同于传统的计算和通信技术，无需遵循投资巨大、风险极高、已接近物理极限的传统半导体的“摩尔定律〞，而是在成熟半导体工艺上的多元微技术融合创新，即“More t...
