Long-Term Inventory Flow Management System Tracking Using Doorway Monitoring

Dechabhol Kotheeranurak,Orathai Sangpetch,Hae Young Noh,Pei Zhang

PROCEEDINGS OF THE 2023 THE 22ND INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS, IPSN 2023(2023)

引用 0|浏览0
暂无评分
摘要
The standard way to keep track of inventory is through human counting or with a hand-held device and inputting the data into the warehouse management system (WMS). WMS can be quite expensive for small warehouses and human counting is susceptible to errors. Alternatively, we propose an automated way to keep track of inventory by leveraging the surveillance cameras readily available in the warehouses. In practice, there are challenges such as incorrect stock numbers, overfitting issues, and a mundane labeling process. To identify and mitigate those challenges, we present real-world deployment to various warehouses for a period of 4 months with up to 97 percent counting accuracy.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要