Abstract: The rapid expansion of the Internet of Things (IoT) presents a viable solution to inefficiencies in traditional brick-and-mortar retail, particularly the problem of lengthy checkout queues [7, 8]. This paper details the design and implementation of a cost-effective, IoT-enabled smart shopping cart that addresses key practical limitations found in existing systems. Our proposed design incorporates a novel **Hybrid Scanning Mechanism**—integrating both a Radio Frequency Identification (RFID) reader and a Non-RFID (Barcode/QR) reader to ensure universal compatibility with both tagged and untagged supermarket items. Critically, the system introduces a **Real-Time Weight Sensor (Load Cell)** to perform robust anti-theft validation by matching the physical weight of items with the accumulated digital bill, preventing item substitution. The system utilizes an Arduino microcontroller, an ESP module for wireless connectivity, and Bluetooth for communication with a customer’s mobile device, achieving the primary objectives of automated billing, queue reduction, and enhanced transaction security. Experimental validation demonstrates that the hybrid approach offers a practical, scalable, and secure alternative to current single-technology smart cart prototypes.
Keywords: IoT, Smart Shopping Cart, RFID, Load Cell, HX711[ESP module], MFRC522[Wi-Fi module].
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DOI:
10.17148/IJARCCE.2025.141289
[1] Dr. Shilpa K. Gowda, Abhijith, Akash Teli, Ankesh Kr. Srivastava, Charan Bhandari, "DESIGN OF IOT-ENABLED SMART SHOPPING CART," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141289