Artificial Intelligence (AI) based Fast Billing System

The proposed AI-driven billing system reinvents the retail checkout process by combining computer vision, machine learning, and a customer interface app. The proposed system uses machine learning and computer vision to instantly recognize objects placed on a counter by using visual detection. The correct weight sensors assess every item's weight simultaneously, guaranteeing correct billing. This work involves creating an app with an intuitive user interface help to reduce the gap between online and in-store purchasing experiences. Clients may easily review their chosen products, interact with their virtual shopping cart, and make secure payments. The AI-based Fast Billing System provides an amazing shopping experience, primarily concentrating on streamlining the checkout process, reducing in-store interactions with people, and improving overall convenience.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823152
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
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article

Artificial Intelligence (AI) based Fast Billing System

R Vinu, N K Jisy
Scheduling and Optimization Algorithms
article

Artificial Intelligence (AI) based Fast Billing System

R Vinu, N K Jisy
article en

Abstract

The proposed AI-driven billing system reinvents the retail checkout process by combining computer vision, machine learning, and a customer interface app. The proposed system uses machine learning and computer vision to instantly recognize objects placed on a counter by using visual detection. The correct weight sensors assess every item's weight simultaneously, guaranteeing correct billing. This work involves creating an app with an intuitive user interface help to reduce the gap between online and in-store purchasing experiences. Clients may easily review their chosen products, interact with their virtual shopping cart, and make secure payments. The AI-based Fast Billing System provides an amazing shopping experience, primarily concentrating on streamlining the checkout process, reducing in-store interactions with people, and improving overall convenience.

Dayananda Sagar University (IN), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 63%
Scheduling and Optimization Algorithms
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