Current Volume 9
Abstract
This paper presents an IoT-based smart shopping cart system that automates retail billing and enhances security using Radio Frequency Identification (RFID) technology. Built around an Arduino UNO microcontroller and an RFID reader, the system detects products with unique RFID tags as they are placed into or removed from the cart, transmitting tag IDs via serial communication to a Python script that dynamically updates a virtual cart in real time, eliminating manual barcode scanning and reducing checkout queues. To address challenges of theft and dispute resolution, the system integrates a PC webcam that captures a three-second video clip upon order confirmation, which is sent along with the order summary to the administrator’s email, while customers receive a detailed digital receipt. By combining RFID-based cart tracking, real-time inventory management, automated video evidence, and email notifications, this smart shopping cart offers a faster, more accurate, and secure alternative to conventional checkout systems, improving both customer experience and operational efficiency.
Keywords
Internet of Things (IoT), RFID, Smart Shopping Cart, Arduino UNO, Automated Billing, Real-Time Inventory, Video Monitoring, Email Notifications
Citations
IRE Journals:
A. Karthick, T. Santhosh Kumar, M. Barath Kesavan "IoT Based Smart Shopping Cart Using Radio Frequence Identification" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 2146-2153 https://doi.org/10.64388/IREV9I11-1717856
IEEE:
A. Karthick, T. Santhosh Kumar, M. Barath Kesavan
"IoT Based Smart Shopping Cart Using Radio Frequence Identification" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717856
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