摘要
对某现代物流储仓中168箱货物进行机器视觉技术试验,通过硬件和软件系统对货物进行了图像采集、处理和分析,建立机器人视觉技术进行货物物流公司和包装类型的识别模型,并对该机器人视觉识别模型进行检验,综合识别准确率高达98.96%。该视觉系统可有效用于现代物流储仓的机器人货物识别,能够加快物资转运速度、降低运作成本并使控制自动化,符合现代物流的要求,市场前景广阔。
168 cartons in a modern logistics warehouse has been tested with the machine vision technology. Image acquisition, processing and analysis of the goods has been done with hardware and software system, and recognition model of robot vision technology for cargo logistics company and packing type has been established. Test shows that the robot vision recognition model makes the comprehensive recognition accuracy rate as high as 98.96%. The vision system can be effectively used for robot goods identification of modern logistics warehouse, and can accelerate the material transfer speed, reduce the operation cost and the control automation, and meet the requirements of modern logistics as well. Its market prospect is broad.
出处
《北京联合大学学报》
CAS
2014年第4期12-17,共6页
Journal of Beijing Union University
关键词
视觉技术
货物识别
图像处理
物流储仓
Vision technology
Cargo identification
Image processing
Logistics warehouse
