SF EXPRESS Automated Robotic Sorting System Based on Machine Learning
- https://doi.org/10.2991/aebmr.k.220502.020How to use a DOI?
- machine learning; ensemble learning; feature filtering; data cleaning; parameter comparison
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 high-accuracy work, and the accuracy rate can reach 97%.
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Xinyu Li PY - 2022 DA - 2022/05/16 TI - SF EXPRESS Automated Robotic Sorting System Based on Machine Learning BT - Proceedings of the 2022 International Conference on Urban Planning and Regional Economy（UPRE 2022） PB - Atlantis Press SP - 92 EP - 98 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220502.020 DO - https://doi.org/10.2991/aebmr.k.220502.020 ID - Li2022 ER -