Navi Cart using RFID

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Nivethitha K; Remya K R; Aksayaa M; Bhavya Sree T; Isha S

Navi Cart using RFID

Authors: Nivethitha K, Remya K R, Aksayaa M, Bhavya Sree T, Isha S

Unique Paper ID: 177862
Volume: 11
Issue: 12
PageNo: 2327-2333

Keywords: Smart Shopping Trolley Line Following Obstacle Detection Digital Billing Real-Time Tracking Cloud Database Wi-Fi Communication

Abstract:
Navi Cart is an intelligent IoT-based shopping cart system meant to make the shopping experience easier and automated in a retail environment. It consists of two NodeMCU ESP8266 microcontrollers, which deal with separate responsibilities. One supports IR and ultrasonic sensors that facilitate line-follower navigation as well as avoid obstacles, whereas the other allows connection to an RFID reader to track items in real time. A hardware button enables users to delete items entered incorrectly. These NodeMCUs communicate through Wi-Fi, providing seamless data sync between the cart and cloud. The system features a web-based interface, providing real-time item and billing updates for logged-in users based on their name and phone number. Admins can view in-depth cart data, billing, QR code generation for payment, receipt printing, and cart resetting. The RFID-based system is quicker and more precise than the conventional barcode scan, minimizing manual errors. Information from every session is safely stored in the cloud, enabling traceability and analytics. The website is easy to use and is mobile-optimized, offering a smooth shopping experience. Navi Cart integrates embedded systems, IoT, and web technologies to offer an affordable, scalable solution for retail in the modern era. It minimizes staff engagement, accelerates checkout, and extends digital convenience to in-store shopping. The system maximizes efficiency, satisfaction, and store management, making it suitable for the smart shopping malls of the future.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2327-2333

Navi Cart using RFID

Available:https://ijirt.org/article?manuscript=177862

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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