# Parcel Classification and Positioning of Intelligent Parcel Storage System Based on YOLOv5
## 1 Introduction  
In 2021, global e-commerce sales reached $5945 trillion, up 19.5% from 2020. Among them, Korea ranked 5 th in the worldwide e-commerce market share, showing the highest ratio of e-commerce to area ratio, and even today, the logistics industry is continuously increasing. In fact, in 2021, Korea's parcel delivery volume reached 3.62 billion, recording an all-time high, and the number of parcel deliveries per economically active population reached 128.4 per year. Alongside the growth of logistics, the latest logistics is growing in a direction that can promote optimization, efficiency, and cost reduction of the sector, reflecting the current society. This is also called an intelligent logistics system, and this logistics system is used in production, warehouse, service, and all other logistics fields, so that machines can efficiently help human convenience [1]. As the number of parcels increases, the application of intelligent logistics systems in the courier process becomes more critical since the labor force is limited. In the current logistics industry, due to the explosive increase in parcel delivery volume, complaints from consumers are increasing due to the loss and damage of parcels in the delivery process to the final consumer, which is the final stage of the parcel delivery process, and disputes between courier companies are occurring. In addition, as the problem of impersonating a courier driver has occurred over the past five years, consumers are exposed to crimes related to receiving parcels. Therefore, various parcel storage facilities for storing the goods appear to be a countermeasure in order to solve the problem of exposing consumers to crime, due to the damage of parcels and impersonation of courier drivers [2]. Parcel storage is a safety measure between the delivery men and the consumers, and the delivery men can save themselves the cost of compensation for the loss or damage of the parcels by safely storing the goods,and the consumer can avoid receiving damaged parcels and being exposed to the crime that may occur while receiving the goods [3]. The parcel storage facilities currently in operation and under development are not simple storage facilities, but are evolving into intelligent parcel storage facilities with artificial intelligence technology applied [4]. The reason why intelligent technologies are stored in parcel storage facilities is to facilitate the operation, reduce human resource consumption, and digitize and manage the operating process. Currently, unmanned parcel storage is installed and operated in countries worldwide. Examples include: CTT in Portugal (2020), Correos in Spain (2017), La Poste in France (2016), AustraliaPost in Australia (2021), and Hong Kong Post in Hongkong (2017), etc [5]. In Korea, delivery storage is operated in various places such as apartments, subway stations, and companies, and all existing parcel storage is attached to the wall side so that one parcel can be loaded into one storage box. Currently, this form of parcel storage utilization is labor-intensive and time-consuming for delivery drivers, and it is difficult to store many parcels in the space. Therefore, in this study, we intend to propose a system that can reduce human resource consumption and the labor of delivery drivers, and maximize the space available for parcel storage. This study aims to implement a delivery storage system that can efficiently store parcels using AI technology. In order to efficiently manage delivery loading and storage in an unmanned delivery storage system, an object recognition experiment of the delivery box was conducted using the CNN deep learning model, a piece of AI technology. The YOLOv5 algorithm was used as a model in this research, which is the fifth version of the YOLO algorithm widely used in the field of object recognition and is drawing attention in terms of speed and using the latest techniques.