Year: 2025
Type: article
Abstract: - This paper introduces BillSmart, an automated grocery bill generation system that utilizes the YOLOv11 object detection model and a FastAPI backend to produce bills from grocery item images. The system will automate the checkout process in a grocery store by minimizing human effort and maximizing accuracy. Leveraging advanced computer vision techniques, our system accurately identifies and classifies grocery items from images. We describe the preparation of the dataset, training of the model, and integration of the trained model into a friendly React application. Key Words : YOLOv11, Object Detection, Grocery Billing, Data Augmentation
DOI: 10.55041/ijsrem48556
Author: M A Anusuya
Institution: JSS Science and Technology University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410666240