SF EXPRESS Automated Robotic Sorting System Based on Machine Learning

Abstract

With the rapid development of Internet technology and the gradual expansion of logistics coverage, online shopping has become the preferred way of shopping. Facing the increasing volume of parcel express delivery, logistics companies need to efficiently complete the sorting of parcels. This paper aims to propose an intelligent express robot sorting system, which makes it possible to complete the sorting of express delivery through the program-controlled robot to efficiently and correctly complete the sorting of parcels in transit. The program adopts the method and principle of machine learning, performs data cleaning and feature extraction on part of the data before learning, and then it can perform highaccuracy work, and the accuracy rate can reach 97%.