工业 AIIndustrial AI
面向真实生产场景的 AI 视觉、边缘推理与系统协同表达。English for AI vision, edge inference and system coordination in real production settings.
智能工厂并非完全无人化The Smart Factory Isn’t Fully Automatic
理解智能工厂为何以有效的人机协作为核心，而不是为了自动化而自动化；练习讨论 ROI、隐性知识、POC、正式部署和规模化。Explore why a smart factory is built around effective human-AI collaboration rather than automation for its own sake, and practise discussing ROI, tacit knowledge, POC, deployment and scalability.
机器视觉：AI 如何看懂工厂Machine Vision: How AI Sees a Factory
学习如何向海外制造客户解释机器视觉、目标检测、过程理解、误报、边缘计算和持续学习。Learn to explain machine vision, object detection, process understanding, false alarms, edge computing and continuous learning to overseas manufacturing customers.
为什么优秀企业重视一切标准化Why Great Companies Standardize Everything
学习如何讨论标准作业、SOP 执行、AI 过程监督与持续改善，并避免把标准化误解为僵化管理。Learn to discuss standard work, SOP discipline, AI process supervision and Kaizen without treating standardization as rigid bureaucracy.
介绍系统架构Explaining the System Architecture
练习清晰说明产线相机、边缘计算终端、线边流程编排客户端和管理平台的职责、数据流与系统边界。Practise explaining the roles, data flow and boundaries of the production-line camera, Edge AI unit, line-side workflow client and management platform.
介绍一套 AI-SOP 项目Introducing an AI-SOP Project
学习如何向海外制造业客户说明 AI-SOP 的用途、组成、边界和实施价值，并避免未经验证的量化承诺。Learn to explain the purpose, components, scope and practical value of an AI-SOP solution without making unverified performance claims.