World Journal of Engineering Research and Technology

Nagarjuna Pitty*

ABSTRACT

With the rapid advancement of detection systems, wireless transmission technology, and increasingly powerful chips, the application scope of the Internet of Things (IoT) has expanded significantly and swiftly, alongside research and development that incorporates artificial intelligence. Concurrently, the development of campus applications, which serves as the foundation for intelligent education, is progressing, necessitating support from emerging computer technologies such as IoT, machine learning, and big data. This study presents an architecture for a smart campus based on Radio Frequency Identification (RFID), which can provide innovative solutions to various challenges such as location tracking, identification, and data storage, owing to its robust anti- interference capabilities and non-intrusive nature, making it a core technology of IoT. Building on this architecture, a smart campus application system design is proposed, enabling functionalities such as automatic identity recognition, resource booking, internal consumption tracking, and student positioning. Furthermore, to address specific location requirements, this paper introduces a method for accurately determining the location of RFID tags based on the triangulation principle, which is integrated into the architecture. The implementation of IoT technology can significantly enhance initial or organizational efficiency, providing more effective support for educators and improving the work, study, and life experiences of students.

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