摘要
随着机器视觉技术的发展,机器人分拣系统在多个行业得到广泛应用,为视觉识别技术的应用和智能制造技术的发展创造了有利的条件。通过综述基于机器视觉技术分拣系统的组成和关键技术以及在不同领域产品的应用现状,分析比较了国内外在各个领域的研究进展和存在问题,并对未来发展趋势作出了展望,为机器视觉技术在人工智能产业的应用提供参考。
With the development of machine vision technology,robot sorting system has been widely used in many industries,creating favorable conditions for the application of visual recognition technology and the development of intelligent manufacturing technology.By reviewing the composition and key technologies of sorting system based on machine vision technology and the application status of products in different fields,the research progress and existing problems in various fields at home and abroad are analyzed and compared,and the future development trend is prospected,which provides a reference for the application of machine vision technology in artificial intelligence industry.
作者
王成军
严晨
WANG Chengjun;YAN Chen(State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines,Huainan 232001,CHN;College of Mechanical Engineering,Anhui University of Science and Technology,Huainan 232001,CHN)
出处
《制造技术与机床》
北大核心
2020年第5期32-37,共6页
Manufacturing Technology & Machine Tool
基金
安徽省科技重大专项项目(16030901012)
安徽省自然科学基金面上项目(1708085ME98)
淮南市高校创新人团队专项计划项目(2017A054)。
关键词
机器视觉
图像处理
轨迹规划
分拣系统
机器人
machine vision
image processing
trajectory planning
sorting system
robot