面向新工科的机器视觉课程建设及实践研究  

Research on the Construction and Practice of Machine Vision Course for New Engineering

作　　者：丁毓峰[1] 蔡兰兰[1] 赵俊超 Ding Yufeng;Cai Lanlan;Zhao Junchao(School of Mechanical and Electrical Engineering,Wuhan University of Technology,Wuhan,430070,China)

机构地区：[1]武汉理工大学机电工程学院,湖北武汉430070

出　　处：《中国现代教育装备》2022年第15期86-88,92,共4页China Modern Educational Equipment

基　　金：教育部高等教育司2019年第一批产学合作协同育人项目“智能视觉检测实践教学基地建设”(编号:201901228030)。

摘　　要：通过分析机械工程专业特色,提出了面向新工科的机器视觉应用需求、课程规划及实践教学体系。实践教学体系中开设了机器视觉基础算法、森林火灾监控无人机、PCB故障检测等多个机器视觉实验项目。以森林火灾监控无人机实验为例,简述了开设机器视觉实验的实验原理、方法及过程。实践证明,实验效果较好,达到机器视觉理论和技术的学习目标。By analyzing the characteristics of mechanical engineering major,the application requirements,curriculum planning and practice teaching system of machine vision technology for new engineering areput forward.The experiments of practical teaching include machine vision basic algorithm,the UAV forest fire monitoring and PCB Fault detection experiment etc.Taking the UAV experiment of forest fire monitoring as an example,the experimental principle,method and process of machine vision experiment are introduced.Practice has proved that the experimental effect is good,and the learning goal of machine vision theory and technology has been achieved.

关 键 词：新工科 机器视觉 无人机 课程体系 实践教学 

分 类 号：TP391.41-4[自动化与计算机技术—计算机应用技术] G642[自动化与计算机技术—计算机科学与技术]