物流业几何尺寸智能化测量系统

doi:10.11896/j.issn.1002-137X.2018.08.039

摘要/Abstract

摘要： 互联网与电子商务的高速发展带来了物流业的颠覆性变革,但目前我国物流业存在总成本偏高、技术装备偏低、配送系统效率低下的缺点。长久以来,物资的几何尺寸信息的利用在物流行业中处于薄弱环节,有效利用几何尺寸信息将极大程度地改善物流业的包装、分拣以及分类运送等环节。基于此,设计了物流业物资的几何尺寸测量系统,该系统基于双目视觉系统,将视差法三维重构算法与特征提取及定位算法紧密结合,能够在复杂场景下对一般物流业物资进行现场测量,且受光照影响较少。测量系统的关键环节是目标物体特征的提取以及几何尺寸的测量。实验结果表明,几何尺寸的平均测量误差小于2%,最大误差小于3%,能够满足物流业的基本要求,可使之更加快速和智能。

关键词: 几何尺寸, 双目视差, 特征提取, 物流业

Abstract: The rapid development of Internet and e-commerce has brought disruptive change of logistics industry.However,there are still some problems for logistics industry,such as high cost,low technical equipment and low efficiency in the distribution system.For a long time,the use of goods’ geometry information,which can be very helpful in improving packing,classification and transport,is a weak process in logistics industry.Focusing on the above problems,this paper built an intelligent system to measure geometry size of logistic goods.Based on stereo vision system and by the combination of disparity algorithm for 3D reconstruction and feature extraction algorithm, the system computes the geometry size for general logistics in complex background and is less affected by light.The experimental results show that this system can be implemented to compute the geometry size quickly for the logistics industry,and its mean measurement error is less than 2% and maximum error is less than 3%,which can meet the basic requirement of logistics.

Key words: Feature extraction, Geometry size, Logistics industry, Stereo vision

中图分类号:

TP391

李娟, 周富强, 李作新, 李潇婕. 物流业几何尺寸智能化测量系统[J]. 计算机科学, 2018, 45(8): 218-222. https://doi.org/10.11896/j.issn.1002-137X.2018.08.039

LI Juan, ZHOU Fu-qiang, LI Zuo-xin, LI Xiao-jie. Intelligent Geometry Size Measurement System for Logistics Industry[J]. Computer Science, 2018, 45(8): 218-222. https://doi.org/10.11896/j.issn.1002-137X.2018.08.039

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