融合地方语言识别与自动跟随与机械臂辅助抓夹的超市智能购物车设计方案

Supermarket Smart Shopping Cart Design Scheme Integrating Local Language Recognition and Automatic Following and Robotic Arm-Assisted Grasping

摘要: 随着互联网时代的迅速发展，网购也逐渐兴起。因为网购具有节约时间、方便快捷等特点，所以也就成为了大多数消费者的消费渠道之一。但是这也使传统零售业遭受到了极大的打击，而超市作为人们主要消费场所之一，急需优化超市线下服务体系，带给消费者更好的购物体验。为了解决传统超市购物中顾客推车费力、商品抓取不便及跨方言交互不畅等问题。本文设计并研究了一款融合多技术的超市智能购物车。该购物车的核心为嵌入式系统，集成了地方语言识别模块、自动跟随导航模块与机械臂辅助抓夹模块。该购物车可以很大程度上解决人们在超市的不便，最大化实现超市的智能化。

Abstract: With the rapid development of the Internet era, online shopping is also gradually emerging. Because online shopping has the characteristics of saving time, convenience and speed, it has become one of the consumption channels of most consumers. However, this has also hit the traditional retail industry hard, and supermarkets, as one of people’s main consumption places, urgently need to optimize the offline service system of supermarkets to bring consumers a better shopping experience. In order to solve the problems of strenuous customer carts, inconvenient product grabbing and poor cross-dialect interaction in traditional supermarket shopping. This paper designs and studies a supermarket smart shopping cart that integrates multiple technologies. At the heart of the shopping cart is an embedded system that integrates a local language recognition module, an auto-follow navigation module, and a robotic arm-assisted gripping module. The shopping cart can greatly solve people’s inconvenience in the supermarket and maximize the intelligence of the supermarket.