摘要
随着人类对生产自动化和智能化等的要求不断提高,人力成本不断攀升,社会对智能设备的需求越来越旺盛。针对在生产线上某3C产品零件杂乱摆放,就如何分拣排列处理问题,提出一种基于Sobel边缘算子模板匹配的视觉引导算法对工件识别定位,设计了一种二目标规划算法抓取实现模型。企业应用验证表明,该技术方法分装的合格率,效率和产量明显提高,具有较高的市场应用价值。
With the continuous improvement of production automation and intellectualization and the rising cost of human resources, the demand for intelligent equipment is becoming more and more vigorous. Aiming at the problem of sorting and arranging the parts of a 3C product in disorder on the production line, this paper proposes a vision guidance algorithm based on Sobel edge operator template matching to identify and locate the parts, and designs a binary objective programming algorithm capture model. The application in enterprises shows that the technology and method can obviously improve the qualified rate, efficiency and output, and has a good market application value.
作者
梅阳寒
熊长炜
范四立
MEI Yanghan;XIONG Changwei;FAN Sili(Dongguan Vocational and Technical College,Dongguan 52380)
出处
《现代制造技术与装备》
2018年第10期16-17,20,共3页
Modern Manufacturing Technology and Equipment
基金
2017年东莞市社会科技发展(一般)项目"基于3C产品的智能分拣系统关键技术研究"(项目编号:2017507156399)
关键词
3C产品
视觉引导
旋转
模版匹配
识别
3C product
vision guidance
rotatio
template matching
recognition