In the wave of digital transformation, Taiwan Public Information Library is actively seeking innovative ways to improve service quality and efficiency. Recently, the library successfully deployed customized technology from RFID company, which is based on ultra-high frequency RFID and artificial intelligence to achieve refined management of 600 journals, providing strong support for the library's subscription decision. Traditionally, libraries often rely on manual observation and experience judgment for journal reading. However, this method is not only time-consuming and labor-intensive, but also difficult to accurately reflect the actual reading situation of journals. Some magazines may be shelved for a long time because no one cares, while others may be in short supply due to popularity.
In order to break this dilemma, Taiwan Public Information Library decided to introduce advanced RFID and AI technology to achieve real-time tracking and intelligent analysis of journal usage. RFID company customized a set of ultra-high frequency RFID solutions for the library.
The solution installs antennas on magazine racks and affixes passive UHD RFID tags to each journal. These tags have unique ID codes that can be linked to detailed information of magazines in web-based software. When a reader picks up a journal, the system detects this action immediately and identifies through software that the journal is being read. The software then updates the journal's status to read and records a timestamp. To capture the tags when the magazine is put on the shelf, EPC Solutions installed two readers and eight antennas for each shelf.
With this solution, the library can not only understand the reading status of each journal in real time, but also analyze readers' reading habits and preferences. For example, the system can identify which journals are most popular, which journals take the longest to read, and which journals are frequently read in a specific time period. This information provides the library with valuable decision-making basis, enabling it to adjust subscription strategies according to the actual needs of readers, thereby saving costs and better serving readers. In addition, the solution can track the reading cycle and reading time of journals.
By analyzing this data, the library can understand the popularity of journals and readers' reading interests. For example, some magazines may be read quickly when they are newly published, while others may take longer to be discovered by readers. Based on this information, the library can optimize the display and storage strategies of journals to ensure that readers can easily find the journals they are interested in.
It is worth noting that this solution is not only applicable to journal management, but also has the potential to be promoted to other areas of the library. For example, libraries can consider applying this technology to the management of other media such as books and audio-visual materials to achieve more comprehensive and refined resource management. The Taiwan Public Information Library's move to optimize journal management using RFID and AI technology is a beneficial attempt. By introducing advanced technical means, libraries can not only improve service quality and efficiency, but also better meet readers' reading needs.
