IoT- Based Human Following Smart Shopping Trolley with Automatic Billing System

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24030013
Primary Topic
Arduino and IoT Applications
Type
article
Field-Weighted Citation Impact
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article

IoT- Based Human Following Smart Shopping Trolley with Automatic Billing System

Deepika E, Nandeesh S, Assistant. Prof. S. Chandra Sekhar, Chandana H K
4 links
Zenodo (CERN European Organization for Nuclear Research)
Arduino and IoT Applications
article

IoT- Based Human Following Smart Shopping Trolley with Automatic Billing System

Deepika E, Nandeesh S, Assistant. Prof. S. Chandra Sekhar, Chandana H K
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 26%
Arduino and IoT Applications
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IoT- Based Human Following Smart Shopping Trolley with Automatic Billing System — Deepika E, Nandeesh S, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS