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Applied Intelligence and Computing

Autonomous Billing CartBot

Authors: Shital Pawar, Divyanshu Chore, Harshadeep Gawhale, Saayonee Dhepe, Prasanna Gebise, Divya Lothe and Gaurav Jaisinghani


Publishing Date: 23-03-2025

ISBN: 978-81-955020-9-7

DOI: https://doi.org/10.56155/978-81-955020-9-7-32

Abstract

Incorporating cutting-edge technology, Automated billing carts (ABC) revolutionize the ecommerce landscape by seamlessly generating and delivering invoices to customers, while optimizing efficiency and accuracy for merchants. ABC is a system that enables carts in the market to generate and send invoices to customers for their purchases automatically. This system is fitted on the cart which consists of a low-power embedded system like esp32 for displaying bills and libraries like OpenCV for detection. It streamlines the billing process by automatically calculating the total cost of items, and taxes, and generating an invoice that includes all necessary information such as item names, quantities, and prices. Additionally, a smart cart control system which has a billing system embedded in it, uses Bluetooth and gesture recognition, that uses ADXL355 sensors to interpret gestures and acceleration, enabling remote control of the vehicle. Experimental results confirm precise control and robust performance, promising its stability and anti-interference capability. Automated billing carts benefit both customers and merchants. Customers can easily manage invoices online, while merchants save time and reduce errors. Additionally, these carts enhance fraud prevention, manual labour of pulling/pushing or holding the cart and recordkeeping, ultimately improving customer satisfaction and boosting merchant revenue.

Keywords

esp32, Billing, Automation, Gesture recognition, OpenCV, Internet of Things.

Cite as

Shital Pawar, Divyanshu Chore, Harshadeep Gawhale, Saayonee Dhepe, Prasanna Gebise, Divya Lothe and Gaurav Jaisinghani, "Autonomous Billing CartBot", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2025, pp. 343-357. https://doi.org/10.56155/978-81-955020-9-7-32

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