AUTO-BILLING SMART CART_IJARIIE

May 2024
Vol-10, Issue-3
Paper ID: 23687
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Electrical Engineering
Keywords
Automation Artificial Intelligence Shopping cart ESP32
Abstract
This paper explores the innovative integration of artificial intelligence (AI) in the development of a smart cart for retail and shopping environments. The proposed AI-based smart cart’s incorporates advanced features such as product theft detection, auto-billing, and person-following capabilities to enhance the shopping experience and streamline the checkout process. The auto-billing feature leverages AI-powered sensors and cameras to automatically scan barcodes or RFID tags on products as they are placed in the cart. This eliminates the need for manual scanning at the checkout counter, reducing wait times and enhancing overall shopping efficiency. The system calculates the total bill in real time, offering a seamless and hassle-free payment experience. The product theft detection feature utilizes computer vision and AI algorithms to monitor the items placed in the Cart. Infrared sensors and image recognition technology work in tandem to identify discrepancies between items added to the cart and those scanned during checkout. Suspicious activities trigger real-time alerts, mitigating the risk of theft and enhancing store security. Furthermore, the person-following capability integrates AI algorithms and sensor technology to enable the cart to autonomously navigate through the store, following the shopper as they move. This hands-free navigation simplifies the shopping process, particularly for elderly or physically challenged individuals. The AI ensures safe and collision-free movement, enhancing convenience and accessibility.

Author Information

# Name Institute / Affiliation
1 Dr. Deepak Kadam MET’s Institute of Engineering
2 Prof. D. V. Malkhede MET’s Institute of Engineering
3 Prathmesh Sonawane MET’s Institute of Engineering
4 Janhavi Vankar MET’s Institute of Engineering
5 Om Kadam MET’s Institute of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Kadam, Dr. Deepak, Malkhede, Prof. D. V., Sonawane, Prathmesh, Vankar, Janhavi, & Kadam, Om (2024). AUTO-BILLING SMART CART_IJARIIE. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 453-458.
MLA Style
Kadam, Dr. Deepak, et al. "AUTO-BILLING SMART CART_IJARIIE." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 453-458.
IEEE Style
Dr. Deepak Kadam, Prof. D. V. Malkhede, Prathmesh Sonawane, Janhavi Vankar, and Om Kadam, "AUTO-BILLING SMART CART_IJARIIE," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 453-458, 2024.
Vancouver Style
Kadam Dr. Deepak, Malkhede Prof. D. V., Sonawane Prathmesh, Vankar Janhavi, Kadam Om. AUTO-BILLING SMART CART_IJARIIE. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):453-458.
Harvard Style
Kadam, Dr. Deepak, Malkhede, Prof. D. V., Sonawane, Prathmesh, Vankar, Janhavi, & Kadam, Om (2024) 'AUTO-BILLING SMART CART_IJARIIE', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 453-458.
Chicago Style
Kadam, Dr. Deepak, et al. "AUTO-BILLING SMART CART_IJARIIE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 453-458.
Turabian Style
Kadam, Dr. Deepak, et al. "AUTO-BILLING SMART CART_IJARIIE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 453-458.

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