The current situation of the conventional library and the application of RFID:

As a fast, long-distance and non-contact automatic identification technology, RFID is widely used in libraries because of the complex process of borrowing, return of books, large inventory and search workload, low efficiency, disjunction between borrowing management and anti-theft, low staff satisfaction and low reader satisfaction. Some universities and public libraries at home and abroad have introduced RFID technology and put into practice in recent years, and have achieved good economic and social benefits.
RFID is generally used as high frequency (HF) and UHF (UHF) according to library scenarios, with the frequency of 13.56MHz and UHF of 860m-960mhz.SSLT has three technologies: high frequency RFID, UHF RFID and eas + RFID to realize intelligent library transformation based on Internet of things, big data and artificial intelligence.

Features of the scheme:

1. Intelligent library solution based on Internet of things, artificial intelligence, cloud platform, big data analysis / intelligent hardware acquisition and control.
2. Comprehensive scene service: from library with books as the core, upgrading to reader service as the core. The integration of intelligent retail and intelligent information technology can increase the user service scene and enhance the stickiness between readers and libraries.
3. Based on the students' scene, users' experience and user stickiness are increased; Improve the efficiency of Library and simplify the working process.
4. Using the intelligent management of Internet of things, an ecological intelligent scene platform is built for the library and the intelligent campus.

Technology application:

SSLT provides big data analysis system for library through intelligent terminal of high frequency, ultra high frequency RFID technology, EAS technology and eas + RFID hybrid technology.
1. Analysis of human reading behavior: through the passenger flow, face, gender, age, specialty and borrowing behavior of readers, personalized preference portraits can be determined to achieve accurate matching between books and people and increase experience.
2. Object analysis of book preferences: through the comparison of the number and types of books in the library and borrowing, readers' preferences are determined for the books in the library, the borrowed books, the borrowing cycle, the borrowing age, and the person book comparison.
3. Field application scenario analysis: through the accurate matching thinking of people, goods and field, the library is transformed into people-oriented, and the behavior and borrowing are compared to realize the accurate matching of books and increase the conversion rate of book borrowing.