QR Code-based Efficient Entry Method for Intelligent Files of Internet of Things

Abstract

In recent years, with the development and application of technologies such as the Internet of Things, cloud computing, and big data, file management, the originally complicated task, has become more intelligent and flexible. However, when recording files, the existing technology still uses the method of scanning one file at a time. Therefore, when massive file information needs to be recorded at the same time, additional time cost or equipment cost will be incurred. In order to shorten the time of file entry as much as possible and reduce unnecessary equipment costs, we propose to mark the key information of files with the QR code technology in the Internet of Things, and then design a special image segmentation method according to the characteristics of the file bag or file box. Thus, the segmentation and extraction of different archive information within the visual range of the input device can be realized, and the effect of simultaneously inputting multiple archive information can be achieved. The experimental results show that in an ideal situation, our method can input the information of 20 files at one time, which greatly improves the efficiency of file entry. It is expected that if this method is applied to the current file management system, it can solve the problem of time consuming and energy consuming, and realize a more intelligent file management system at the same time.