基于机器视觉的智能取件系统  

Intelligent Express Pickup System Based on Machine Vision

作　　者：吴媛婷[1] WU Yuanting(Fujian Chuanzheng Communications College,Fuzhou 350007,China)

机构地区：[1]福建船政交通职业学院,福建福州350007

出　　处：《物流科技》2022年第15期54-58,共5页Logistics Sci-Tech

基　　金：2020年福建省教育厅中青年教师教育科研项目“基于区块链技术的个体专属物流服务系统研发”(JAT201076)。

摘　　要：近年来,随着快递公司为压缩成本而不断缩减送货上门服务的比例,菜鸟驿站的业务得到了长足发展。然而,当前驿站的低自动化制约了其利润空间的增长。为此,文章设计了一套低成本投入的基于机器视觉的智能快递自提系统,并配合改进了的条码定位解码算法,实现用户取件的自动化管理。该系统易于复制和扩展,可以降低人工成本,提高效率,增加驿站的利润。In recent years, with the express companies reducing the proportion of door-to-door service in order to reduce costs, the business of rookie post station has made great progress. However, the low automation of the current post station restricts the growth of its profit space. Therefore, this paper designs a set of low-cost intelligent express pick-up system based on machine vision, and cooperates with the improved barcode positioning and decoding algorithm to realize the automatic management of user pick-up. The system is easy to copy and expand which can reduce labor cost, improve efficiency and increase the profit of the post station.

关 键 词：智能物流 机器视觉 HOUGH变换 快递取件 条形码解码 

分 类 号：F253.9[经济管理—国民经济]