IoT BASED SELF CHECKOUT SYSTEM USING CLOUD DATABASE AND RFIDFOR PAYMENT PROCESS OPTIMIZATION

Abstract

The rapid advancement of technology has significantly transformed various aspects of daily life,
including retail processes in academic institutions. This paper presents an IoT-based self-
checkout system designed to enhance payment processing efficiency within a college
environment. The proposed system integrates Radio Frequency Identification (RFID) technology
with a cloud-based database to streamline the checkout process and reduce operational overhead.
The system leverages RFID tags for item identification and tracking, enabling students to quickly
and accurately select and pay for items without manual intervention. The RFID-enabled checkout
process is seamlessly connected to a cloud database, which manages inventory, tracks
transactions, and ensures real-time data synchronization across multiple points of sale. This
integration allows for immediate updates on stock levels, facilitates the generation of detailed
sales reports, and supports dynamic pricing strategies based on real-time data analytics. By
automating the checkout process and minimizing the need for cashier interaction, the system not
only speeds up transaction times but also reduces the likelihood of errors and enhances the overall
user experience. The cloud database infrastructure provides scalability, data security, and
accessibility, ensuring that the system can accommodate varying demands and adapt to future
technological advancements. This innovative approach addresses common challenges in
traditional checkout systems, such as long wait times and inventory mismanagement, while
offering a practical solution tailored to the needs of a college setting. The paper discusses the
design, implementation, and potential benefits of this IoT-based self-checkout system,
highlighting its contribution to optimizing payment processes and improving operational
efficiency in academic environments.