The Smart Shopping Cart with IoT-Based Automatic Billing System is designed to revolutionize the shopping experience by minimizing waiting times and enhancing efficiency through automation. Utilizing RFID technology and IoT integration, this project eliminates the traditional billing process, allowing customers to enjoy a seamless shopping experience. Each shopping cart is equipped with an RFID reader that automatically detects products tagged with RFID labels, updating the total bill in real-time on an LCD display.
Introduction
I. INTRODUCTION
As consumer behaviour continues to evolve in the digital age, traditional retail environments are increasingly challenged to meet the expectations of modern shoppers. Long queues at checkout counters can lead to frustration and dissatisfaction, causing shoppers to seek alternative options, including online shopping. This shift emphasizes the need for innovation in physical retail spaces to enhance customer experience and operational efficiency. One of the primary challenges faced by supermarkets and retail outlets is the inefficiency of the billing process.
Conventional barcode systems, while effective, require manual scanning, which can be time-consuming, especially during busy shopping periods. This process often leads to delays, customer complaints, and ultimately lost sales opportunities. To combat this issue, there is a growing interest in integrating advanced technologies that can facilitate faster, more efficient shopping experiences. The Smart Shopping Cart with IoT-Based Automatic Billing System is an innovative solution that leverages RFID technology and IoT connectivity to transform the way customers shop. By equipping shopping carts with RFID readers, customers can simply place products with RFID tags into their carts without needing to wait in line for manual scanning at the checkout. The cart continuously tracks the items added, displaying the total cost on an LCD screen, thereby allowing customers to monitor their spending in real time. In addition to enhancing the checkout process, this system also addresses safety concerns associated with crowded shopping environments. By incorporating ultrasonic sensors, the smart cart can detect the presence of nearby shoppers and obstacles, helping to prevent collisions and ensure smooth navigation through aisles.
A. Problem Statement
Long wait times: Manual billing processes at checkout counters lead to customer frustration.
Lost sales opportunities: Extended wait times cause shoppers to abandon their purchases.
Error-prone systems: Damaged barcodes and manual intervention lead to errors.
Safety concerns: Crowded aisles increase the risk of accidents and collisions.
Limited budget visibility: Shoppers lack visibility of their spending until checkout, making budget management difficult.
B. Objectives
Reduce Checkout Wait Times: Minimize the frustration caused by long queues at billing counters, providing a faster and more efficient shopping experience
Leverage Emerging Technologies: Utilize RFID and IoT technologies to automate billing, reduce manual effort, and enhance the accuracy of item tracking.
Improve Customer Convenience: Offer real-time updates on purchases and total bills, allowing customers to monitor their spending as they shop.
Enhance Store Safety: Use ultrasonic sensors to prevent collisions between shopping carts and shoppers, ensuring smoother navigation in crowded spaces.
II. LITERATURE SURVEY
A. Smart Shopping Cart With Iot-Based Automatic Billing System
Recent studies have explored the development of smart shopping carts integrated with IoT-based automatic billing systems. Researchers have leveraged technologies such as RFID, computer vision, and sensor networks to create intelligent carts that can automatically track items, calculate bills, and facilitate seamless checkout experiences. For instance, Kumar et al. proposed a smart cart system using RFID and IoT, while Singh et al. developed a computer vision-based system for real-time billing. These innovative solutions aim to enhance customer convenience, reduce checkout times, and improve retail operational efficiency.
III. BLOCK DIAGRAM
IV. WORKING
The Smart Shopping Cart with IoT-Based Automatic Billing System integrates RFID, IoT, and sensor technologies to revolutionize the shopping experience. Products are fitted with RFID tags, which are scanned by the cart's RFID reader, updating the bill in real-time on an LCD screen. The cart autonomously follows the customer using ultrasonic sensors, eliminating manual effort. The system also features real-time communication with the store's server via Wi-Fi, streamlining checkout and allowing customers to set budget limits. Upon completion of shopping, the cart can be securely locked, facilitating digital payment and enhancing overall convenience and security
V. COMPONENTS USED
HARDWARE REQUIREMENT: SOFTWARE REQUIREMENT
1. RFID Reader 1. Arduino id
2. RFID Tags 2. Eagle
4. IOT web 3. Proteus
3. Microcontroller (Arduino/ESP8266)
4. LCD Display
5. Ultrasonic Sensors
6. Wi-Fi Module (ESP8266 or similar)
7. Push Buttons
8. Power Supply (Battery or Adapter)
9. Servo Motor (for cart locking mechanism)
10. Buzzer (for budget alerts) 1. Arduino id 2. Eagle 3. Proteus 4. IOT web
Conclusion
In conclusion, the Smart Shopping Cart with IoT-Based Automatic Billing System is a transformative solution designed to address the inefficiencies and challenges of traditional retail environments. By integrating advanced RFID technology, IoT connectivity, and ultrasonic sensors, this project not only streamlines the billing process but also enhances the overall shopping experience. Customers benefit from reduced wait times, real-time expense tracking, and safer navigation in crowded spaces, while retailers gain valuable insights into consumer behavior and inventory management.
References
[1] H.H.Chiang et al., \"Development of smart shopping carts with customer oriented service\", 2016
[2] K. Prasiddhi, Dhanashri H. Gawali, \"Innovative shopping cart for smart cities\", Recent Trends in Electronics Information & Communication Technology(RTEICT), 2017
[3] Komal Ambekar, Vinayak Dhole, Supriya Sharma, Tushar Wadekar, Smart Shopping Trolley Using RFID, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 4 (10), 2015