IoT- Based Human Following Smart Shopping Trolley with Automatic Billing System
Year: 2026
Type: article
Abstract: The IoT-Based Human-Following Smart Shopping Trolley with Automatic Billing System is designed to provide a smart, convenient, and efficient shopping experience. The trolley uses sensors and a camera-based system to automatically follow the customer while maintaining a safe distance and performing obstacle avoidance to ensure smooth and safe movement. It provides automatic product identification using QR-code scanning, and the product details and prices are automatically added to the bill. An integrated weighing scale is used to measure the weight of selected products and can provide accurate weight information for billing. The system continuously calculates the total amount and displays the product and billing information through a display. When the trolley becomes empty after shopping, it is programmed to automatically move back to its designated parking. By integrating human following, obstacle detection, automatic product identification, weighing, billing, and autonomous return functionality, the proposed system reduces manual effort, saves shopping time, and improves the overall efficiency of the shopping process.
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225454800